Accessibility Version: Tracking the Iowa Nutrient Reduction Strategy v4

Version 4.0 | Updated October 2025

Formatting revised December 2025

Access the Interactive Data Dashboards

The Iowa Nutrient Reduction Strategy (INRS) is a science- and technology-based approach to assess and reduce nutrients delivered to Iowa waterways and the Gulf of America (Gulf of Mexico). The Strategy outlines opportunities for reducing nutrients in surface water from both point sources, such as municipal wastewater treatment plants and industrial facilities, and nonpoint sources, including agricultural operations and urban areas, in a scientific, reasonable, and cost-effective manner. The Iowa Nutrient Reduction Strategy was developed in response to recommendations provided by the United States Environmental Protection Agency (EPA) in its March 16, 2011 memo, “Working in Partnership with States to Address Phosphorus and Nitrogen Pollution through Use of a Framework for State Nutrient Reduction.” Ongoing action for nutrient load reductions is further supported by the recent EPA recommendations, “Renewed Call to Action to Reduce Nutrient Pollution and Support for Incremental Actions to Protect Water Quality and Public Health,” released September 22, 2016, and “Accelerating Nutrient Pollution Reductions in the Nation’s Waters,” released April 5, 2022.

This page presents an analysis of changes for each indicator of the Iowa Nutrient Reduction Strategy Logic Model to facilitate reporting.

From 2014 to 2020, a comprehensive progress report was released annually by the Iowa Department of Agriculture and Land Stewardship, the Iowa Department of Natural Resources, and Iowa State University. The process of reporting nutrient reduction efforts transitioned in 2021 to a revised approach by publishing data and findings in a set of web-based dashboards

This page presents screen reader-friendly versions of the text and tables in the web-based dashboards. Version 4.0 summarizes all data for the 2023 INRS tracking period.

 


Tracking Inputs for the Iowa Nutrient Reduction Strategy

Introduction to INRS Inputs

Tracking efforts of the Iowa Nutrient Reduction Strategy (INRS) – the amount of funding, outreach, practice implementation, and changes in water quality – are completed to summarize changes made to advance the INRS goal of reducing nitrogen and phosphorus loading by 45% from the 1980-96 baseline period. The dashboards serve as a comprehensive reporting tool to report ongoing efforts from multiple entities collectively working to advance the adoption of conservation practices to improve water quality. The INRS Logic Model provides a structure to evaluate the progression of changes in resources, practice adoption, and impacts of practice adoption over time. Materials for reporting on INRS efforts – funding, outreach, practice implementation, and changes in water quality – are collected annually, and dashboards are updated after data is collected, aggregated, and processed. 

Each of the four indicators of the INRS logic model is described below:

  • Inputs indicator summarizes staff, funding, agency resources, and NGO sector resources;
  • Human indicator summarizes partner organizations, farmer knowledge and attitude, point source communities, and management knowledge and attitude;
  • Land indicator summarizes land use changes, practice adoption, and point source implementation; and
  • Water indicator summarizes annual statewide nutrient loads by year and modeled load reduction

Inputs are necessary to expand Iowa's capacity for encouraging and realizing changes in human behavior and for promoting and incentivizing conservation practice implementation to improve water quality. Targeting inputs toward specific INRS facets may be required to support the goals set forth by the INRS. Due to data availability, this dashboard aims to provide an overview of reported statewide funding and staff resources supporting or complementary to the INRS.

Estimates of investment encompass public and non-governmental organizations' (NGO) funding summarized through reports voluntarily submitted by Water Resources Coordinating Council (WRCC) and (historically) Watershed Planning Advisory Council (WPAC) member organizations, and other partner organizations. Most public programs described in this dashboard are considered base programs (described briefly below) and have generally existed for decades. In addition, these estimates include the farmer and landowner contribution to the implementation of cover crops, terraces, water and sediment control basins (WASCOBs), and grade stabilization structures based on landowner costs to install the practice(s). These estimates do not account for the investments made by private entities, farmers, or landowners for practices financed independently of public sector programs.

 A growing number of private sector funds are available to facilitate conservation and best management practice adoption on private lands. Many of these efforts operate independently of the INRS and cannot be reliably quantified through existing reporting mechanisms. However, the lack of trackability does not diminish their importance.

Continued Research on Nutrient Reduction

Continuation of research in the physical and social sciences is necessary to better understand the processes driving nutrient losses in Iowa and how conservation measures can alleviate nutrient losses. The Iowa Nutrient Research Center (INRC) has continued to be a dedicated source of research funding for nutrients since its founding in 2013. The INRC fosters innovative research, led by Iowa researchers at Regents institutions, on land management, edge-of-field practices, nutrient management, or multi-objective research. 

More information regarding projects funded at Regents Institutions through the INRC may be found on the INRC website.

INRC Projects relate to Nutrient Management, Land Use, Edge-of-Field Practices, and Multi-Objective. These project themes include:

  • Nutrient Management: Agronomic activities related to the timing, source, rate, and placement of fertilizers based on crop and replacement needs depending on the cropping rotation.
  • Land Use: How cropping, livestock management, and wildlife habitat intersect for a farm operation and environmental benefits.
  • Edge-of-Field Practices: Best Management Practices designed with water quality benefits as a primary benefit.
  • Multi-Objective: Research into Iowa's agroeconomic system and components that influence water quality.

INRS Priority Watersheds

Nine priority watersheds (hydrologic unit code 8 (HUC8) basins) across Iowa were identified by the Water Resources Coordinating Council in 2013 as areas in which to conduct outreach and focus targeted conservation and water quality efforts. Current demonstration project information for nonpoint source efforts is available on the Clean Water Iowa website.

Iowa Nutrient Reduction Strategy Priority Watersheds and Locations within Iowa
Priority Watershed NameWatershed ID (as HUC-8 Watershed)Watershed Location within Iowa
North Raccoon River07100006Located in west-central Iowa, the river originates near Marathon, Iowa before flowing into the Des Moines River in Des Moines.
Boone River07100005Located in north-central Iowa, the river originates near Hutchins and flows into the Des Moines River south of Webster City.
Middle Cedar River07080205Located in east-central Iowa, the watershed originates at the confluence of three rivers (the Cedar River, Shell Rock River, and the West Fork Cedar River) and is designated another watershed immediately south of Cedar Rapids.
Turkey River07060004Located in northeast Iowa, the river originates near Saratoga and flows into the Mississippi River east of Millville.
South Skunk River07080105Located in central Iowa, the river originates near Hamilton and flows into the Lower Skunk River Watershed north of Richland.
Lower Skunk River07080107Located in southeast Iowa, the Lower Skunk River watershed receives flow from the South Skunk River and North Skunk Rivers north of Richland and flows into the Mississippi River south of Burlington.
Floyd River10230002Located in northwest Iowa, the river originates near Sanborn and flows into the Missouri River in Sioux City.
West Nishnabotna River10240002Located in southeast Iowa, the river originates north of Manning before becoming a larger watershed north of Hamburg.
East Nishnabotna River10240003Located in southeast Iowa, the river originates east of Manning before becoming a larger watershed north of Hamburg.

Data Sources for INRS Inputs

Funding and staffing levels have been voluntarily reported since 2015 by members of the Water Resources Coordinating Council (WRCC) and, historically, by the Watershed Planning Advisory Council (WPAC). Respondents provide information about the number of full-time employee equivalents, by job category, dedicated to implementation of the Iowa Nutrient Reduction Strategy. Information about funding sources is also submitted. A common template is used for reporting to standardize responses across organizations. Where data are unavailable, public records are utilized for public investments for appropriations and expenditures.

Information is collated for all submitted reports to summarize funding, staff, outreach efforts, practice implementation, and monitoring efforts, and reported efforts are reviewed to minimize duplication. For example, a grant disbursed by one organization and awarded to another may be reported by both organizations, but double-counting was minimized by obtaining specific information about different funding sources.

Reports submitted by partners may be downloaded as supplemental materials of the INRS web page. The 2023 report is available as an Excel (.xlsx) file.

INRS Funding by Partner Organizations from 2012 to 2023

Investments by the four primary investment categories - public cost-share programs, estimated farmer and landowner investment, non-governmental organizations (NGOs), and land rental as Conservation Reserve Program (CRP) payments - are summarized in the table below. 

Partner funds became available for reporting in the current Iowa Nutrient Reduction Strategy methodology in 2016 for reporting purposes. Non-governmental organization investments occurred prior to this time, but data are not available. Estimated farmer and landowner investment includes implementation of cover crops, terraces, water and sediment control basins, ponds, grade stabilization structures, and sediment basins that utilized a public sector program.

YearPublic Cost-Share ProgramsEstimated Farmer and Landowner InvestmentNon-Governmental OrganizationsCRP - Rental PaymentsTotal

2012

91,233,895

14,601,078

N/A

212,942,766

318,777,739

2013

107,516,595

16,986,070

N/A

216,365,107

340,867,772

2014

98,161,485

21,908,328

N/A

214,402,613

334,472,426

2015

121,613,279

22,334,899

N/A

221,360,787

365,308,965

2016

114,147,810

20,500,167

2,759,434

243,650,296

381,057,707

2017

136,948,822

23,573,742

3,146,103

318,308,819

481,977,485

2018

161,959,229

36,074,673

3,659,943

360,771,362

562,465,206

2019

162,502,195

25,583,711

3,279,533

387,472,169

578,837,608

2020

157,599,332

39,004,545

3,557,452

387,472,174

587,633,503

2021

201,819,299

44,116,890

2,971,140

382,490,928

631,398,257

2022

200,956,779

40,229,901

2,342,915

382,381,806

625,911,402

       2023

201,956,779

28,564,317

2,544,702

403,663,000

636,738,798

Total Investment 2012-2023

1,752,415,499

333,478,320

24,271,223

3,731,281,827

5,841,446,868

State and Federal Funding in Support of INRS by Program

Program funding is reported as state appropriations by fiscal year, with the exception of Clean Water State Revolving Funds, which are reported as loans originating per state fiscal year. Farm Service Agency (FSA) expenditures are obtained from the CRP Enrollment and Rental Payments by State, 1986-2023 report. Natural Resources Conservation Service (NRCS) expenditures come from annual At-A-Glance reports by federal fiscal year. Detailed funding information can be found in Appendix A (available at the end of this document).

Full-Time Employees (FTEs) Reported for Iowa Nutrient Reduction Strategy Inputs

The table below summarizes FTEs by category, as reported by partners. Changes in tracking staff have been reported by several organizations since 2019 and are known to impact FTEs reported, both as total FTEs and within the reporting categories "On-the-ground implementation Staff" and "Infrastructure Staff."

Full-Time Employee Equivalents from 2016 to 2023 Reported to INRS by Lead Organizations and Supporting Organizations
YearInfrastructure StaffOn-the-ground implementation StaffOther StaffResearch StaffTotal FTE
2016144.01102.1117.2517.25280.62
2017184.15442.622.617.9667.25
2018189.05406.627.821.2644.65
2019179.19466.3155.3920.31721.2
2020140.64557.7155.735.49789.54
2021143.64575.6157.349.47826.02
2022140.89550.6158.349.22799.02
2023140.64562.1164.973.5841.15

Changes in Funding

State conservation programs have evolved from 2012 to 2023, with funding for longstanding conservation programs independent of the Iowa Nutrient Reduction Strategy (INRS) continuing to receive increased funding. The Water Quality Initiative was first established in 2014 to directly support the INRS. Additional funding became available in 2018 with the establishment of the Water Quality Infrastructure Fund, funded by Senate File 512. 

Changes in federal conservation program expenditures have largely increased from the beginning of the INRS. These programs provide financial support for implementation of nonpoint source conservation practices or, through the Conservation Reserve Program (CRP), for reservation of sensitive land. Expenditures through CRP in Iowa have increased, driven by an average rental rate per acre increase from $132 to $238 from 2012 to 2023. CRP enrollment has also prioritized continuous sign-up acres that are often sited to buffer runoff from adjacent cropped land. Conservation practice implementation programs administered by the Natural Resources Conservation Service are funded through the Farm Bill. Program offerings and funding for each program have evolved over the past decade. 

Conventional programs have provided strong funding support for projects in Iowa; Iowa entities have also been competitive and demonstrated innovative conservation delivery concepts to receive grant funding through the Regional Conservation Partnership Program (RCPP).


Tracking the Human Dimension

Overview of the Human Indicator

The Human indicator summarizes knowledge, attitudes, and behavior related to water quality and nutrient reduction. Changes in management and conservation practices reflect the outreach, training, and educational events aimed at increasing knowledge among communities, farmers, landowners, the public, and conservation professionals. The outreach impacts have been assessed using farmer surveys to gauge farmers’ knowledge, attitudes and awareness related to water quality and nutrient reduction.

Outreach activities regarding water quality and management practices are summarized in the following panels of this dashboard. These efforts primarily capture outreach regarding nonpoint sources and the extensive network that supports educational opportunities across the state.

While point source activities directly engage fewer people, outreach amongst publicly owned treatment works (POTWs) continues through education for plant operators by organizations such as the Iowa Water Environment Association and direct contact with permitting agencies. Individual contacts amongst DNR, municipalities, and consultants who assist with plant operations and ensure regulatory compliance standards are not tracked; however, the development of phase one and phase two assessments for major POTWs as required by the INRS requires significant time and dedicated funding to ensure community and commercial needs are economically met. More importantly, urban and rural partnerships continue to be explored across the state through the creation of Nutrient Reduction Exchanges (NREs) by pilot cities in consultation with the DNR. Nonpoint conservation practice benefits are assessed by the Nutrient Tracking Tool, validated, and then registered via the Regulatory In-Lieu Fee and Bank Information Tracking System (RIBITS) database to foster nutrient trading within a watershed.

Changes in Public Education and Outreach

INRS partners remain engaged in outreach, with 731 events reported for the 2023 reporting period that reached an estimated 35,085 attendees*. These events ranged from general public programs such as fairs and educational program visits to schools to educational opportunities for professionals such as workshops and conferences. Program delivery modes have evolved over the past several years with the widespread adoption of virtual programming. The extent of virtual program development by INRS partners varies and includes webinars for general audiences to virtual field days that facilitate virtual attendance of programming conducted in the field.

The geographic distribution of events continues to be evaluated with county-level data summarized for the number of events and attendance. For example, counties with an event center will likely host larger programs that draw attendees from multiple counties or statewide. In contrast, rural counties may host more programs focused on local issues for farmers and landowner audiences. The total number and attendance of partner-reported events are summarized by county and event type in the top right panel.

These events, which provide information to make informed decisions about conservation practices and educate attendees about water quality issues, were self-reported by INRS partner organizations, and include five general categories:

  • Conferences – Multi-session events to facilitate knowledge-sharing, networking, and partnering.
  • Community Outreach – Includes fairs, tours, and other community events.
  • Field days – Often serve to educate farmers, landowners, and agribusiness representatives through direct demonstration.
  • Workshops – Entail training in a particular skill or topic area related to nutrients and water quality.
  • Youth – Focuses on spreading understanding about natural resources and watershed issues through K-12 educational programming.
  • Supplemental – A training that included content related to water quality, but water quality was not the primary focus of the event.

*Because nutrient management and water quality were not the primary focus of events or activities classified as "Supplemental", supplemental events are excluded from the statewide total reported above.

Summary of outreach programs by the six categories specified above from 2016 to 2023
YearCommunity Outreach - AttendanceCommunity Outreach - No. EventsConference - AttendanceConference - No. EventsField Day - AttendanceField Day - No. EventsSupplemental - AttendanceSupplemental - No. EventsWorkshop - AttendanceWorkshop - No. EventsYouth - AttendanceYouth - No. EventsTotal - AttendanceTotal - No. Events
20169,702611,757119,5231149,2182262,8641336,1526839,216613
201721,3311614,763189,8491459,2122773,03112018,55112566,737846
20189,3232023,704204,8611388,8643722,1258228,71019557,5871,009
201913,2861612,155167,79815822,5891,0192,1116928,20519576,1441,618
20207,3441301,383176,73314023,4121,5392,5947527,03620868,5022,109
20216,507842,283127,0649414,4306102,1466921,18132353,6111,192
20229,0633052,429137,19212827,8812,7434,22515522,81123773,6013,581
20236,3232702,577157,32511722,3561,7983,88217214,97815757,4412,529

A summary of programs by county can be found in Appendix B (available at the end of this document) or in the tracking period data summary (.csv on an external site).

The Nutrient Reduction Strategy Farmer Survey

Completed over five years, the NRS Farmer Survey was designed to assess farmer knowledge, attitude, and behavior related to water quality and to gain insight into practices that are favorably received or barriers to BMP adoption. With surveys completed by respondents over multiple years, results from five of the six HUC6 watersheds in Iowa have been published and are summarized in this report. Surveys were completed within the larger HUC6 watersheds and priority HUC8 watersheds across the state. 

Reports may be found in the INRS webpage supplemental documents or through the Iowa State University Extension Outreach Store (search for Iowa Farmers and the Iowa Nutrient Reduction Strategy).

Each watershed was surveyed in the years summarized in the table below. Data summarized in the tables below reflect the respondents' answerin the first year of the survey.
 

Summary of the large basins (hydrologic unit code (HUC) 6) by which the Iowa Nutrient Reduction Strategy Farmer Survey was completed.
INRS Farmer Survey Basin (by HUC-6 Watershed)HUC6 IDYears SurveyedINRS Priority Watershed (HUC-8) within the BasinHUC8 ID
Des Moines0710002017 and 2018North Raccoon07100006
Des Moines0710002017 and 2018Boone07100005
Iowa0708022015 and 2019Middle Cedar07080205
Upper Mississippi-Maquoketa-Plum0704002016 and 2017Turkey07060004
Upper Mississippi-Skunk-Wapsipinicon0708012019South Skunk07080105
Upper Mississippi-Skunk-Wapsipinicon0708012019Lower Skunk07080107
Missouri-Little Sioux1023002015 and 2016Floyd10230002
Missouri-Nishnabotna1024002018 and 2019West Nishnabotna10240002
Missouri-Nishnabotna1024002018 and 2019East Nishnabotna10240003

Selected results from the Iowa Nutrient Reduction Strategy Farmer Survey are summarized below. The INRS Farmer Survey tracked farmers’ knowledge, attitudes, and behavior related to nutrient reduction beginning in 2015 with the final survey completed in 2019. Responses are aggregated in the tables below by topic area from the survey and by the basin in which the farmer operates.

Summary of Farmer Responses to Questions Relating to Self-Assessment of Nutrient Management by the HUC-6 Basin Scale by which Respondents were Surveyed for which Responses were 'Strongly Agree' or 'Agree' (out of five responses from 'strongly agree' to 'strongly disagree').
QuestionDes MoinesMissouri-Little SiouxMissouri-NishnabotnaUpper Mississippi-Maquoketa-PlumUpper Mississippi-Skunk-Wapsipinicon
I am already doing all that I can to reduce nutrient loss from my farm into waterways40.649.645.448.743.6
I don’t know how well my farm operation is doing in terms of keeping nutrients out of waterways21.320.121.618.120.1
The nutrient management practices I use are sufficient to prevent loss of nutrients into waterways58.961.457.165.758.9
Summary of Farmer Responses to Questions Relating to Awareness, Concern, and Support for Action by the HUC-6 Basin Scale by which Respondents were Surveyed for which Responses were 'Strongly Agree' or 'Agree' (out of five responses from 'strongly agree' to 'strongly disagree').
QuestionDes MoinesMissouri-Little SiouxMissouri-NishnabotnaUpper Mississippi-Maquoketa-PlumUpper Mississippi-Skunk-Wapsipinicon
Helping to meet the Nutrient Reduction Strategy’s goals is a high priority for me49.153.552.854.350.9
I am concerned about agriculture’s impacts on Iowa’s water quality81.88482.980.781.8
I am concerned about Iowa’s contribution to water quality problems (e.g., hypoxia) in the Gulf of Mexico57.259.958.762.261.1
I would be willing to have someone help me evaluate how my farm operation is doing in terms of keeping nutrients out of waterways47.744.848.354.144.5
I would like to improve conservation practices on the land I farm to help meet the Nutrient Reduction Strategy’s goals74.376.678.276.777.2
Iowa farmers should do more to reduce nutrient and sediment run-off into waterways70.974.674.875.475.4
Nutrients from Iowa farms contribute to water quality problems (e.g., hypoxia) in the Gulf of Mexico43.944.144.847.453.5
Summary of Farmer Responses to Questions Relating to Knowledge-Related Barriers by the HUC-6 Basin Scale by which Respondents were Surveyed for which Responses were 'Strongly Agree' or 'Agree' (out of five responses from 'strongly agree' to 'strongly disagree').
QuestionDes MoinesMissouri-Little SiouxMissouri-NishnabotnaUpper Mississippi-Maquoketa-PlumUpper Mississippi-Skunk-Wapsipinicon
Farmers need help learning how to reduce nutrient loss more effectively65.364.464.964.664.2
I don’t know how to further reduce nutrient losses from my farm13.619.118.218.916.9
Many farmers are not aware that nutrients from agriculture can impact water quality22.121.219.822.217.6
Many farmers don’t know how to further reduce nutrient losses from their farms33.736.138.23734
Summary of Farmer Responses to Questions Relating to Economic Barriers by the HUC-6 Basin Scale by which Respondents were Surveyed for which Responses were 'Strongly Agree' or 'Agree' (out of five responses from 'strongly agree' to 'strongly disagree').
QuestionDes MoinesMissouri-Little SiouxMissouri-NishnabotnaUpper Mississippi-Maquoketa-PlumUpper Mississippi-Skunk-Wapsipinicon
I can’t afford to implement more conservation practices39.430.741.734.439.3
Many conservation practices have negative impacts on yields29.319.918.121.322.8
Many farmers don’t have the economic resources to adopt sufficient conservation practices4836.147.94152.6
Pressure to make profit margins makes it difficult to afford conservation practices69.365.273.163.174.3
There is not enough cost-share and other support available from government agencies51.952.25847.652.6

The source(s) from which farmers who completed the Iowa Nutrient Reduction Strategy Farmer Survey learned about the strategy is summarized in the table below by the basin in which the farmer operates.

The Percentage of Respondents, by the Number of Respondents by Survey Area, who Learned About the INRS by Source.
Knowledge SourceDes MoinesMissouri-Little SiouxMissouri-NishnabotnaUpper Mississippi-Maquoketa-PlumUpper Mississippi-Skunk-Wapsipinicon
The farm press85.879.777.181.980.7
NRCS or SWCD64.463.563.867.865.3
Iowa State University Extension and Outreach59.363.153.952.561.6
Commodity or farm organization59.550.446.35355.2
The popular press55.849.146.752.650.1
Government agency52.548.444.84547
Other farmers45.342.341.144.242.4
Agricultural retailer31.531.426.826.427.6
Crop advisor or agronomist21.821.814.617.217
Seed company rep.19.119.113.717.314.1

The source(s) from which farmers who completed the Iowa Nutrient Reduction Strategy Farmer Survey learned about nutrient management is summarized in the table below by the basin in which the farmer operates.

Summary of Farmer Responses to Questions Relating to Where They Learned about Nutrient Management by the HUC-6 Basin Scale by which Respondents were Surveyed for which Responses were ‘Very Strong Influence or ' Strong Influence' (out of five responses from 'very strong influence' to 'no influence’).
Knowledge SourceDes MoinesMissouri-Little SiouxMissouri-NishnabotnaUpper Mississippi-Maquoketa-PlumUpper Mississippi-Skunk-Wapsipinicon
NRCS or County Soil and Water Conservation District23.732.927.432.325.8
Iowa State University Extension (e.g., field days, workshops, publications, videos)19.825.81918.118.5
Landlord/farm management firm17.718.116.214.315.7
Independent/private crop adviser/agronomist14.715.413.911.211.4
Iowa Water Quality Initiative (WQI)9.812.611.713.410.9
Custom operator/applicator8.67.18.68.38.7
Iowa Soybean Association9.98.387.87.7
Practical Farmers of Iowa4.83.16.557.1
Iowa Learning Farms4.64.65.14.25

Tracking Nonpoint Source Nutrient Reduction Practices - Agricultural Conservation Practices

Agricultural Land Use in Iowa Over Time

Iowa’s total land area is 35.7 million acres. Based on data from the United States Department of Agriculture (USDA) Census of Agriculture, nearly 90% of Iowa’s total area is dedicated to agricultural uses, with total annual agricultural land use averaging over 31 million acres since 1982. Land area dedicated to field crops — corn, soybeans, and other annual and perennial crops — has remained relatively steady since the 1980s, averaging just below 27 million acres annually. Total acres enrolled in the USDA Conservation Reserve Program (CRP), which aims primarily to convert environmentally sensitive land from crops to perennial cover, has fluctuated between approximately 1.5 and two million acres in Iowa since the start of the program in 1986.

Iowa Agricultural Land Use Since 1980. "N/A" indicates that there is no data available from the specific data source(s) associated with that crop for a given year.
Crop19781982198719921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023
Corn13,376,06613,416,695 10,352,369 12,773,58511,000,00012,600,00011,600,00012,400,00011,930,54212,200,00011,800,00012,000,00011,400,00011,761,39211,900,00012,400,00012,500,00012,350,00013,842,28212,800,00013,300,00013,050,00013,733,50413,949,34013,301,68413,395,65413,218,93913,585,13813,024,47412,891,94413,230,24913,437,74512,746,73212,760,37912,920,948
Hay2,317,391 2,035,0331,968,2071,762,425N/AN/AN/AN/A1,575,777N/AN/AN/AN/A1,533,027N/AN/A1,635,0001,555,0001,125,5651,615,0001,265,0001,240,0001,200,000996,3161,220,0001,220,0001,240,0001,010,0001,069,770985,0001,115,0001,225,0001,335,0001,285,0001,070,000
Oats871,460811,716544,907367,517225,000430,000225,000 190,000214,485185,000175,000180,000130,000143,513130,000140,000125,000110,00066,65175,00095,00075,000113,308125,084142,288134,567121,230111,05197,071124,584150,014145,488109,19582,09693,789
Pasture5,764,822N/AN/AN/AN/AN/AN/AN/A4,256,172N/AN/AN/AN/A3,639,397N/AN/AN/AN/A3,144,321N/AN/AN/AN/A2,478,116N/AN/AN/AN/A2,360,349N/AN/AN/AN/A2,245,926N/A
Soybeans7,475,9898,044,3057,903,3958,243,0678,300,0008,770,0009,260,0009,450,00010,258,68110,350,00010,750,00010,680,00010,920,00010,418,62110,550,00010,150,00010,000,00010,100,0008,612,8109,670,0009,530,0009,730,0009,220,5499,202,4219,176,2969,716,2009,720,8649,390,6459,841,3569,877,6829,064,2739,284,55510,048,02110,020,5399,869,220
Wheat31,86398,68831,047N/A25,00045,000  35,00040,00022,75832,00031,00018,00018,00018,31721,00024,00015,00018,00029,51230,00022,00010,00018,87014,23226,20217,21317,37921,16014,35614,09912,22211,58617,26618,74021,326

Records from the USDA Census of Agriculture, the USDA National Agriculture Statistics Service (NASS), and the USDA Farm Service Agency (FSA) were compiled to estimate historical and recent crop acreages from 1992 to the current reporting period. Acreages prior to 1992 were tabulated from digitized documents in the USDA Census of Agriculture Historical Archive. Crop acres from the Census of Agriculture and National Agriculture Statistics Service were used for annual values from 1993 to 2010. For both periods, harvested acres were used when available; planted acres were used as an alternative value when harvested acres were not available. NASS survey values were used for years when the Census did not occur. For annual crop acres since 2011, planted crop acres were aggregated from Farm Service Agency crop acreage reports and reflect the annual crop acreage values provided in NASS (in lieu of combined records from archival, NASS, and FSA databases).

Acres enrolled in the Conservation Reserve Program in Iowa were obtained from the FSA crop acreage reports and aggregated by year.

Iowa Acres in the Conservation Reserve Program (CRP) Since 1986
Year1987198819891990199119921993199419951996199719981999200020012002200320042005200620072008200920102011201220132014201520162017201820192020202120222023
Acres1,239,1291,472,7861,760,0591,951,0611,987,8472,087,1722,203,7942,203,7942,199,3602,176,2321,757,6811,503,6041,484,1181,599,4641,802,9311,865,7301,882,6501,894,5011,917,4801,958,8831,970,4861,809,6331,703,9411,637,1301,662,3731,644,4291,525,0121,457,5181,484,3761,688,9751,786,5301,800,0611,745,8601,705,1881,662,5211,693,9461,688,112

Acres enrolled in the Conservation Reserve Program in Iowa were obtained from the FSA crop acreage reports and aggregated by year.

Iowa Cover Crops

During the baseline and benchmark time periods —1980-96 and 2006-10 — there were no or very few acres of cover crops in Iowa. The USDA Census of Agriculture reported that 1.28 million acres of cover crops were planted in Iowa in the fall of 2022, and the Survey of Agricultural Retailers estimated 3.7 million acres. Based on county-level data from the 2022 USDA Census of Agriculture, counties in the eastern region of the state tend to have higher rates of cover crop use than those in other parts of Iowa.

Of these statewide estimates, public conservation programs accounted for more than 1.1 million acres in 2022. It should be noted that these publicly funded cover crop acres – including state and federal cost share programs as well as the crop insurance discount program - represent only a portion of Iowa’s total cover crop acres; annual publicly funded acres do not represent a total statewide estimate of Iowa cover crops.

Iowa Cover Crop Acres, by Data Source. "N/A" indicates that there is no data available from the specific data source for a given year.
Data Source20102011201220132014201520162017201820192020202120222023
United States Department of Agriculture - Census of AgricultureN/AN/AN/A379,614N/AN/AN/AN/A973,112N/AN/AN/AN/A1,282,608
Survey of Agricultural RetailersN/AN/AN/AN/AN/AN/AN/A1,597,6142,015,6882,179,3043,107,0632,768,7543,769,3733,841,525
Portion Funded by Public Conservation Programs18,70230,98769,955211,235161,160275,965324,097381,352465,713359,628617,681709,318818,952806,053

Cover crop acres are reported by the crop year with which they are associated (i.e., cover crop acres reported as "2023" were planted in 2022, benefitting the 2023 cash crop).

A summary of cover crop distribution in Iowa, summarized in Appendix C, was created using the USDA Census of Agriculture county-level acres planted in the fall of 2022. County values were assigned proportionally to Iowa HUC8 watersheds based on the percentage of county land area that intersects each watershed.

The types of cover crop species planted from 2017-2023 are summarized in the table below. Annual distribution of cover crop species was determined using data from the Iowa Nutrient Research and Education Council Survey of Agricultural Retailers.

Cover Crop Species or Types, as a Percentage of Total Cover Crop Acres, from 2017 to 2023
YearRye Cover CropOat Cover CropMix of Cover Crop SpeciesOther Cover Crop
201769.4%9.1%N/A21.5%
201882.8%9.8%N/A7.4%
201981.3%2.8%11.2%4.8%
202090.9%1.3%6.7%1.1%
202180.8%5.5%12.3%1.5%
202281.8%4.4%8.5%5.3%
202386.6%6.1%5.5%1.7%

The use of cover crop mixes was not included in the INREC Ag Retailer Survey in 2017 and 2018.

Data Sources - Iowa Cover Crops

There are currently three data sources utilized for tracking the rate of cover crop adoption in Iowa. First, the Survey of Agricultural Retailers, conducted by the Iowa Nutrient Research and Education Council, has estimated annual statewide cover crop acres since 2017 (capturing the cover crops planted in the fall of the prior year). Second, the USDA Census of Agriculture, which is conducted every five years, provides county-level cover crop acres for fall 2012, 2017, and 2022, allowing for aggregated statewide totals for those years (corresponding to the 2013, 2018, and 2023 crop years). Third, state and federal conservation programs (whereby government cost-share is given to farmers and landowners) provide spatially explicit records of publicly funded cover crop acres. All state programs recorded by the Iowa Department of Agriculture and Land Stewardship were included in this analysis of cost-share acres, as well as acres under the federal Environmental Quality Incentive Program and Conservation Stewardship Program.

Iowa Tillage Practices

In the last few decades, the use of no-till and conservation tillage in Iowa has increased dramatically. Conservation tillage represents a range of reduced tillage practices that leave at least 30% of crop residue on the soil surface following harvest and planting. No-till further minimizes soil disturbance by leaving most of the crop residue on the surface.

During the INRS baseline period from 1980-1996, no-till was used on an average of two million acres. In 2012, the United States Department of Agriculture (USDA) Census of Agriculture estimated 6.9 million acres of no-till. Since 2012, no-till acres have increased to a peak of 8-10 million acres, as estimated by the Iowa Nutrient Research and Education Council (INREC) Survey of Agricultural Retailers and the Census of Agriculture. No-till practices account for a higher portion of row crop acres in the rolling landscapes of western Iowa, for example, the Loess Hills region and some southern and northeastern watersheds.

Conservation tillage was practiced on 5.2 million acres during the baseline period, on average, and on an estimated 8.8 million acres in 2012. Since then, conservation tillage has generally increased, with estimates from the Survey of Agricultural Retailers and Census of Agriculture data suggesting use of conservation tillage on anywhere from 5 to 11 million acres annually. 

The increased use of no-till and conservation tillage in row crop operations since the 1980s is paired with a decrease in the use of conventional tillage. Conventional tillage was used on an estimated 12 million acres during the baseline period, and this practice has been used on fewer acres since that period, although there are annual fluctuations.

Iowa Tillage Practices, by Data Source
Practice Name And Data Source1980-1996 Average Annual2006-2010 Average Annual20122017201820192020202120222023
No-Till (INRS - Derived from Conservation Technology Information Center data)1,968,8826,154,727N/AN/AN/AN/AN/AN/AN/AN/A
Conservation Tillage (INRS - Derived from Conservation Technology Information Center data)5,190,1706,064,720N/AN/AN/AN/AN/AN/AN/AN/A
Conventional Tillage (INRS - Derived from Conservation Technology Information Center data)12,042,5858,288,043N/AN/AN/AN/AN/AN/AN/AN/A
No-Till (Census of Agriculture)N/AN/A6,950,8368,196,199N/AN/AN/AN/A8,452,461N/A
Conservation Tillage (Census of Agriculture)N/AN/A8,760,34810,132,599N/AN/AN/AN/A9,289,863N/A
Conventional Tillage (Census of Agriculture)N/AN/A7,882,5565,018,129N/AN/AN/AN/A4,941,144N/A
No-Till (Survey of Agricultural Retailers)N/AN/AN/A7,707,6956,972,4348,153,5028,589,2429,461,12110,165,2019,081,676
Conservation Tillage (Survey of Agricultural Retailers)N/AN/AN/A11,611,28610,247,2299,475,3814,935,4935,253,8146,551,6615,150,980
Conventional Tillage (Survey of Agricultural Retailers)N/AN/AN/A3,676,1465,749,2785,294,8079,822,9988,259,5456,016,3768,422,482

A summary of tillage practice distribution in Iowa, summarized in Appendix C, was created using the USDA Census of Agriculture county-level acres planted in the fall of 2022. County values were assigned proportionally to Iowa HUC8 watersheds based on the percentage of county land area that intersects each watershed.

Data Sources - Iowa Tillage Practices

Tillage acres were estimated using three data sources. First, the 1980-96 baseline period (displayed here as 1996) and the 2006-10 benchmark period (displayed here as 2010) are derived from the Crop Management Residue Survey, conducted by the Conservation Technology Information Center for Iowa from 1982 to 2011. Methods for using these findings to determine average annual acreages are described in the Iowa Nutrient Reduction Strategy Nonpoint Source Science Assessment and the corresponding Iowa Nutrient Reduction Strategy baseline study, both of which can be found at the Iowa Nutrient Reduction Strategy website.

Statewide acreages for the 2012, 2017, and 2022 crop years were estimated using the USDA Census of Agriculture, which provides county-level data for no-till, conservation tillage, and conventional tillage practice implementation.

Annual statewide acreages of tillage practices in corn and soybean fields are estimated by the INREC Survey of Agricultural Retailers for the 2017 to 2023 crop years.

Nutrient Management in Iowa - Nitrogen Rates and Phosphorus Application

During the 1980-96 baseline period, corn-soybean rotations received an estimated average of 149 pounds of commercial and manure nitrogen; continuous corn rotations received 199 pounds per acre. This figure was estimated using a similar methodology for the 2006-10 benchmark period at 151 pounds per acre for corn-soybean rotations and 201 pounds for continuous corn. These estimates were derived from the state fertilizer sales data, which is publicly available from the Iowa Department of Agriculture and Land Stewardship (IDALS), and the USDA Census of Agriculture’s reported animal units in Iowa.

The Iowa Nutrient Research and Education Council designed a Survey of Agricultural Retailers to estimate the extent of in-field practice use, including commercial fertilizer application practices, and has been completing the survey since 2017. The annual survey has found that in corn-soybean rotations, corn acres received, on average, between 170 and 183 pounds per acre during the 2017-23 period. On average, continuous corn rotations received between 186 and 209 pounds per acre during that time.

Percent of Continuous Corn Acres Using Commercial Nitrogen in the 2017-2023 Crop Years, by Application Rate
Category (Pounds of Nitrogen Per Acre)2017201820192020202120222023
<1000.0%0.0%1.3%0.0%0.0%0.0%6.0%
100-1250.0%0.3%0.0%0.0%0.0%0.0%5.0%
126-1501.5%2.3%3.6%0.0%5.7%4.1%5.0%
151-1758.9%8.6%5.7%4.5%7.8%17.8%10.0%
176-20054.2%38.7%48.5%32.5%47.1%50.1%41.0%
201-22518.7%33.2%29.2%31.6%33.8%19.2%21.0%
226-25015.3%11.2%11.0%27.6%5.6%7.5%11.0%
>2501.4%5.6%0.8%3.8%0.0%1.3%1.0%
Percent of Corn-Soybean Rotation Acres Using Commercial Nitrogen in the 2017-2023 Crop Years, by Application Rate
Category (Pounds of Nitrogen Per Acre)2017201820192020202120222023
<1000.1%0.2%0.5%0.1%0.2%0.6%2.0%
100-1251.9%1.5%0.4%0.8%2.3%2.6%2.0%
126-15022.3%19.0%10.8%8.6%20.7%15.0%21.0%
151-17536.8%29.2%32.9%26.8%32.3%35.6%30.0%
176-20031.8%37.1%39.7%37.7%33.1%36.7%36.0%
201-2255.2%10.1%11.9%17.2%9.5%7.8%5.0%
226-2500.8%2.8%3.5%5.5%1.5%1.7%3.0%
>2501.2%0.1%0.3%3.2%0.4%0.0%1.0%

These annual nitrogen fertilizer rates represent statewide averages; however, nitrogen application rates to corn vary across agricultural fields and, in some cases, vary by acre within a field. The percent of total acres that received various levels of commercial nitrogen rates varies by crop rotation. In 2023, for example, 36 percent of corn-soybean acres received 176-200 pounds of commercial nitrogen on their most recent corn year, and 30 percent received 151-175 pounds. Some fields lay at the ends of this distribution, with 25 percent of acres receiving 150 pounds of nitrogen per acre or less and 9 percent receiving 201 pounds per acre or more. Commercial nitrogen application rates trended higher for continuous corn rotations, with 41 percent of acres receiving 176-200 pounds of nitrogen per acre, 33 percent receiving at least 201 pounds per acre and 26 percent receiving 175 pounds per acre or less. 

These estimates of annual nitrogen applications from 2017-23 represent an increase in acres in row crop and fertilizer use per acre since the 1980-96 baseline period. While the 2017-23 estimates of commercial fertilizer rates were obtained via a different data collection process than for the baseline and benchmark time periods, complementary evidence from recent fertilizer sales data shows that commercial fertilizer application rates for corn-soybean operations have increased gradually since before 1990. Increases in Iowa’s corn acres since that time have not increased at the same rate as the increase in commercial nitrogen fertilizer sales (disproportionate ratio of fertilizer sales to corn acres in the state), supporting the finding that average commercial nitrogen application rates (in pounds per acre) have increased over time as crop production has increased.

Research into nitrogen application rates lies at the forefront of the Iowa Nitrogen Initiative, a new program started in 2022 that incorporates soil, weather, and management data through on-farm trials throughout the state to develop the probability-based decision system N-FACT. The initiative will encourage fertilizer application decisions to be made based on more site-specific conditions to give farmers, agronomists, and landowners more confidence in determining the optimum rate at which to apply nitrogen.

Phosphorus fertilizer application methods that inject or incorporate it into the soil, compared with broadcasting across the soil surface, reduce potential nutrient losses from the field. The Survey of Agricultural Retailers estimated that 14.4 million acres received phosphorus fertilizer was incorporated, injected, or knifed into the soil for the 2017 crop year, a figure which decreased to 9.6 million acres for the 2023 crop year. These estimates account mostly for commercial fertilizer. For the 2023 crop year, approximately 82% of fields (~18.6 million acres) utilized soil testing for phosphorus, which can guide fertilizer application decisions.

Phosphorus Fertilizer Application Methods, as Number of Annual Row Crop Acres on which Application Occurred
Phosphorus Management Type2017201820192020202120222023
Commercial P Incorporated with Planter2,523,799862,841270,492639,271144,75616,781361,439
Commercial P Incorporated in Knifed Bands656,919627,900619,632692,078625,440250,599915,394
Commercial P Broadcast & Incorporated within 1 week10,807,03016,143,90515,847,4469,440,9349,916,9648,611,1857,110,864
Liquid P (commercial/manure) Injected416,049865,3642,048,8501,825,2321,155,7541,535,8581,258,882
Other P Application Type8,591,3314,468,9314,137,26910,750,21811,130,16112,167,81413,008,560

Data Sources - Nitrogen Rates and Phosphorus Application

Commercial nitrogen application rates were obtained from the Iowa Nutrient Research and Education Council's Survey of Agricultural Retailers, which has been conducted annually since 2017. The statewide average annual rates of commercial nitrogen fertilizer application were calculated using a stratified, weighted average approach, based on each field's size and the number of observations within each major land resource area in Iowa.

The distributions of varying application rates for continuous corn and corn-soybean rotations were determined using the survey's records for agricultural fields that received only commercial nitrogen fertilizer in 2023.

The total application of commercial nitrogen fertilizer, in tons per year, was estimated from Iowa’s fertilizer sales data and the USDA Census of Agriculture, using the methods described in the Iowa Nutrient Reduction Strategy Nonpoint Source Science Assessment.

To estimate the total plant-available nitrogen from manure applied to crops since the 1980-96 baseline period, researchers evaluated livestock animal unit data, USDA Census of Agriculture data, and published studies on manure nutrient availability. The methodology is described in the Iowa Nutrient Reduction Strategy Nonpoint Source Science Assessment.

Acres of various timing methods for commercial phosphorus application were obtained from the Iowa Nutrient Research and Education Council's Survey of Agricultural Retailers, which has been conducted annually since 2017. The statewide acreages of each phosphorus application method were calculated using a stratified, weighted approach, based on each field's size and the number of observations within each major land resource area in Iowa.

Nutrient Management in Iowa - Nitrogen Application Timing

Nitrogen (N) application timing also affects nitrogen loss, as described in the Iowa Nutrient Reduction Strategy (INRS) Science Assessment of Nonpoint Source Practices (revised in 2024). The Iowa Nutrient Research and Education Council's (INREC) Survey of Agricultural Retailers tracks and provides annual estimates of when nitrogen is most commonly applied. In 2023, commercial N fertilizer was applied via spring, split, and/or in-season application on approximately 8.36 million corn acres (~65% of Iowa's 12.9 million corn acres), with fall application occurring on approximately 6.48 million corn acres (~50% of corn acres). While the amount of fall-applied anhydrous fertilizer varies from year to year, shifting all fall-applied anhydrous fertilizer to spring application has the potential to reduce nitrate-N loads. For example, the INRS Science Assessment modeled the effectiveness of changes in fertilizer timing at reducing nitrate-N loads; this assessment found that shifting benchmark period (2006-10) anhydrous application from fall to spring could have resulted in a nitrate-N load reduction of 200 tons/year.

According to the INRS Nonpoint Source Science Assessment, fall-applied anhydrous with EPA-approved nitrification inhibitors (e.g., nitrapyrin) could reduce nitrate-N concentrations in tile drainage water by an estimated 5% when compared to fall anhydrous applications without a nitrification inhibitor. Based on the Science Assessment, researchers estimated that during the 2006-10 benchmark period, fall anhydrous was applied annually to 5.7 million acres of corn-soybean and continuous corn acres. Of these acres, nitrification inhibitor was applied to 3.5 million acres. According to the Survey of Agricultural Retailers, farmers’ nitrification inhibitor use has increased since the benchmark period. As a comparison to the 1980-96 baseline period, researchers associated with the INRS Nonpoint Source Science Assessment suggest, based on professional knowledge, that nitrification inhibitor was used on a negligible number of acres due to the recent development of the technology.

Commercial Nitrogen Fertilizer Timing for Corn Acres, as Number of Annual Acres on which Application Occurred
Timing Category2017201820192020202120222023
Fall anhydrous plus
Nitrification Inhibitor
3,731,5242,318,3992,722,2013,337,4354,759,9354,126,9562,987,981
Fall Anhydrous without
Nitrification Inhibitor
1,405,251817,409487,420643,484772,3002,248,5413,354,280
In-Season Only281,723137,166148,057529,107219,339125,332318,438
Spring Pre-Plant6,487,3297,652,7386,950,0246,443,4435,165,3864,294,0124,668,056
Spring Side-Dress Split, 40-601,307,0862,004,2632,300,0091,907,5361,691,8661,836,1961,343,119

Data - Nitrogen Application Timing

The data showing the timing of commercial N applications were obtained from the INREC Survey of Agricultural Retailers, which has been conducted annually since 2017. The statewide proportions of the data were calculated using a stratified, weighted approach, based on each field's size and the number of observations within each major land resource area in Iowa.

Bioreactors, Saturated Buffers, and Multi-Purpose Oxbows

Denitrifying bioreactors and saturated buffers are edge-of-field practices that are constructed by routing agricultural drainage water through a woodchip trench or vegetated buffer, respectively, to remove nitrate before the water enters an adjacent stream, ditch, or tile main. These practices are highly effective at reducing annual nitrate loads to streams. Estimated reduction in flow-weighted nitrate concentration is 24% for water treated by bioreactors and 45% for water treated by saturated buffers according to the Iowa Nutrient Reduction Strategy Science Assessment of Nonpoint Source Practices. The suitability of bioreactors and saturated buffers for a farm field is highly dependent upon the presence of tile drainage, topography, and soil types.

Oxbows are old stream channels that have been cut off. They fill in with sediment over time and can be restored by excavating the soil down to the original channel level. Outletting tile to an oxbow provides both wildlife habitat and water quality benefits; this practice is known as a "multi-purpose" oxbow. With an estimated 63% reduction in flow-weighted nitrate concentration according to the Iowa Nutrient Reduction Strategy Science Assessment of Nonpoint Source Practices, multi-purpose oxbows are effective at reducing nitrate delivery to streams.

Acres Protected by Bioreactors, Saturated Buffers, and Multi-Purpose Oxbows Installed Each Year in Iowa
Acres Treated200620072008200920102011201220132014201520162017201820192020202120222023
Bioreactor - Acres Treated by New Practices Annually505050150504003002002501003506506006003009001,200400
Saturated Buffer - Acres Treated by New Practices Annually00005000150502004504008504002001,4501,850500
Multi-Purpose Oxbows - Acres Treated by New Practices Annually000000150000050100100001000
Cumulative Acres Treated By Bioreactors, Saturated Buffers, and Multi-Purpose Oxbows in Iowa5050501501004004503503003008001,1001,5501,1005002,3503,150900

A summary of edge-of-field practice distribution in Iowa by HUC8 watershed is summarized in Appendix C.

Data Sources - Bioreactors, Saturated Buffers, and Multi-Purpose Oxbows

Acres protected by bioreactors, saturated buffers, and multi-purpose oxbows were summarized using state and federal conservation program data as well as practices known to be installed by conservation staff, which provide detailed, spatial records of publicly funded practices. All state programs recorded by the Iowa Department of Agriculture and Land Stewardship were included in this analysis of cost-share practices, as well as practices under the federal Environmental Quality Incentive Program and Conservation Stewardship Program. Practices installed without financial assistance were primarily designed by Iowa State University. All of these practices have undergone design standard revisions over the past decade, and it is currently estimated that 50 acres are protected by each practice.

Water Quality Wetlands

Wetlands that are designed for water quality improvement (water quality wetlands) are estimated to reduce flow-weighted nitrate concentration by 30%, according to the Iowa Nutrient Reduction Strategy Nonpoint Source Science Assessment. In designing these types of wetlands, agricultural drainage is routed through the wetland for nitrate removal. Currently, water quality (WQ) wetlands require higher financial investment and development time than many other best management practices but have a lifespan of multiple decades or more, and have a lower cost per pound of nitrogen removed. Most of Iowa’s WQ wetlands, to date, have been constructed under the Conservation Reserve Enhancement Program (CREP), but novel wetland siting standards have been implemented over the past decade to expand WQ wetlands from the traditional CREP breakpoint wetland design. Novel wetland positions on the landscape include full and fractional flow designs, both intentionally designed to protect agricultural drainage water similar to the classic breakpoint design used for CREP-designed wetlands. Programs and individuals other than the Iowa Department of Agriculture and Land Stewardship and Farm Service Agency have installed wetlands in Iowa that are similarly sited and constructed similar to WQ wetland design guidelines, but data currently are not available to assess the full extent of this non-CREP implementation.

Currently, Iowa has at least 135 WQ wetlands, which have all been constructed since the 1980-96 baseline period of the Iowa Nutrient Reduction Strategy. These wetlands have a cumulative drainage area of nearly 150,000 acres. Iowa experienced its highest rate of installations in 2020, with 14 new wetlands treating nearly 18,800 acres. Program implementation continues, with wetland design types developed in recent years expanding landscape positions on which WQ wetlands can be sited. WQ wetlands that were constructed from 2011-2023 (i.e., since the 2006-10 benchmark period of the Iowa Nutrient Reduction Strategy) protect more than 91,000 acres of agricultural land.

Acres Protected by Water Quality Wetlands Installed Each Year in Iowa
Acres Treated Annually200320042005200620072008200920102011201220132014201520162017201820192020202120222023
New Acres Treated Annually2,4882,9493,48514,2717,9856,95412,3708,0746,96513,5199,3844,2943,2704,6037,8175,5971,83118,7718,9555,1331,082
Cumulative Acres Treated2,4885,4378,92223,19331,17838,13150,50258,57665,54079,05988,44392,73796,007100,610108,427114,024115,855134,626143,581148,714149,796

A summary of water quality wetland distribution in Iowa by HUC8 watershed is summarized in Appendix C.

Data Sources - Water Quality Wetlands in Iowa

Acres protected by WQ wetlands were estimated using data from the Iowa Department of Agriculture and Land Stewardship. A majority of these wetlands were installed under the Conservation Reserve Enhancement Program, but some were funded through other programs and partnerships.

Structural Erosion Control Practices

The Iowa Nutrient Reduction Strategy Nonpoint Source Science Assessment identified a set of structural practices that capture sediment or reduce erosion within or at the edge of an agricultural field, leading to a reduction in soil-bound phosphorus loss. These practices include terraces, water and sediment control basins (WASCOBs), farm ponds, and grade stabilization structures. The Science Assessment estimates the effectiveness of these practices at reducing phosphorus loads to range from 77% to 85%.

Currently, it is assumed a significant portion of erosion control practices are constructed through the financial assistance of state and federal government cost-share programs and this report presents data from those sources. An estimated 280,000 acres are protected by terraces, WASCOBs, ponds, and grade stabilization structures that have been installed under cost-share programs since 2011. 

An additional source of information on structural erosion control practices is the Iowa BMP Mapping Project, an ongoing effort that will estimate the extent of all erosion control installations, not just those funded by state or federal cost-share programs. Practices visible in aerial imagery and high-resolution topography data (statewide LiDAR data) during several time periods have been reviewed and practices have been mapped to track best management practice adoption over time. The project’s data collection is complete for three time periods: the 1980s, 2007-10, and 2016-17. Practices depicted by the Iowa BMP Mapping Project include both practices implemented with and without cost-share assistance; however, INRS reporting efforts only include practices that receive state or federal cost-share as self-funded practices are not reported annually.

Acres Protected by New Structural Erosion Control Practices Installed Each Year in Iowa Since 2011
Acres Treated2011201220132014201520162017201820192020202120222023
Terraces and Water & Sediment Control Basins - Acres Treated by New Practices Annually22,71518,96117,23026,96524,31122,99017,04315,74219,74221,00211,54510,0117,861
Grade Stabilization and Ponds - Acres Treated by New Practices Annually2,1001,6962,2521,2791,4588,3471,4231,3701,3507,1064,3877,2104,059
Total Acres Treated by Terraces, Water & Sediment Control Basins, Grade Stabilization, and Ponds24,81520,65719,48228,24425,76931,33718,46617,11221,09228,10815,93117,22111,919
Cumulative Acres Treated by Terraces, Water & Sediment Control Basins, Grade Stabilization, and Ponds24,81545,47366,13086,787107,444128,101148,759169,416190,073210,730231,387252,045272,702

A summary of structural erosion practice distribution in Iowa by HUC8 watershed is summarized in Appendix C.

Data Sources - Structural Erosion Control Practices in Iowa

Structural erosion control practices were summarized using state and federal conservation program data, which provide detailed, spatial records of publicly funded acres. This report accounts for practices installed between 2011 and 2023. All state programs recorded by the Iowa Department of Agriculture and Land Stewardship were included in this analysis of cost-share practices and practices under the federal Environmental Quality Incentive Program and Conservation Stewardship Program. Structural erosion control practices reported include terraces, sediment basins, grade stabilization structures, ponds, and water and sediment control basins (NRCS practice codes 600, 350, 410, 378, and 638). The database for state programs provides an estimate of the acres protected by each erosion control practice. For terraces, water and sediment control basins, and grade stabilization structures, and within each HUC8 watershed, the state database’s mean acres protected per foot installed was applied to federally-funded cost-share practices to obtain an estimate of total acres protected. For ponds, there were no federal practices to extrapolate, so only state data were used.

Tracking Point Source Nutrient Reduction Effort - Wastewater Treatment and Industrial Facilities

Understanding Point Source Efforts Associated with the Iowa Nutrient Reduction Strategy

The Iowa Nutrient Reduction Strategy identifies 160 industrial (54 permits) and municipal wastewater treatment point source facilities (106 permits) that are required to evaluate the amounts of nutrients in their discharges in order to meet the goals of the strategy. Upon receiving a National Pollutant Discharge Elimination System (NPDES) permit under the Strategy, each facility works to develop a feasibility study, which outlines the resources required to achieve nutrient reduction goals. The permits also incorporate requirements for measuring nutrient concentrations in influent and effluent to determine current nutrient removals and provide an empirical basis for feasibility studies.

As of Fall 2023, municipal (October 2) and industrial (November 11) permits that have been amended with construction schedules to meet INRS goals are summarized in the table below.

Municipal and Industrial Permits that Have Been Amended with Construction Schedules to Meet INRS goals, as of Fall 2023
Activity for PermitsMunicipal FacilitiesIndustrial Facilities
Count of Facilities4916
Earliest Completion DateAugust 1, 2018January 1, 2018
Latest Completion DateJuly 1, 2028May 1, 2028
Average Length of Construction Schedule4.4 Years3.4 Years

Point source facilities listed in the strategy are required to monitor raw waste and final effluent for total nitrogen (TN) and total phosphorus (TP). However, some industries (e.g., power plants) that do not have a treatment plant are required to monitor only the final effluent as water is only to cool equipment. This extensive monitoring effort has generated one of the country’s most complete sets of point source nutrient data, and the extent of this data collection will continue to increase as the remaining permits are issued. This data has enabled the facilities and the Iowa Department of Natural Resources to determine current TN and TP loads associated with these point sources, even before additional nutrient reduction technologies are installed.

A facility uses the data collected during the two-year period after permit issuance to evaluate the feasibility and reasonableness of reducing the amounts of nutrients discharged into surface water. The Iowa Nutrient Reduction Strategy establishes a target of reducing TN and TP from point sources by 66% and 75%, respectively. A facility’s feasibility study must include an evaluation of operational changes that could be implemented to reduce the amounts of TN and TP discharged. If the implementation of operational changes alone cannot achieve the targets, the facility must evaluate new or additional treatment technologies that could achieve reductions in the nutrient amounts discharged. At the end of 2023, 152 feasibility studies had been submitted.

Annual Progress of Issuing Point Source Facility Permits
YearPermits Issued with Feasibility Studies SubmittedPermits Issued, Awaiting Feasibility StudiesPermits Remaining to be Issued
2015206663
2016515446
2017824329
2018953720
20191133114
2020127247
2021142124
202214855
202315234

For INRS priority watersheds, two major POTWs are in the process of revising their NPDES permits. Note that changes in the number of facilities by year reflect changes in facility flow resulting in the change of the POTW classification, demonstrating that a source is not a nutrient source (e.g., industrial cooling purposes), or the combination of facilities (e.g., industrial waste treated by a municipal plant).

As these feasibility studies are reviewed and approved by the Iowa Department of Natural Resources, the schedules these contain for installing nutrient reduction technologies or optimizing existing treatment are added to the facilities’ NPDES permits by amendment. Once the construction or optimization outlined by the schedules is complete and treatment processes are optimized, facilities will submit twelve months of effluent TN and TP sampling results. Effluent limits based on those sampling results will then be added to facilities’ permits and become enforceable.

Point source facility permits with Nitrogen and/or Phosphorus limits as of the end of 2023 are summarized in the table below.

Point Source Facility Permits with Nitrogen and/or Phosphorus Limits as of the End of 2023
YearINRS Permits with Nitrogen and Phosphorus LimitsINRS Permits with Nitrogen Limits OnlyINRS Permits with Phosphorus Limits Only
201849478
2019615812
2020696514
2021757116
2022817723
2023858327

Of the permitted point source facilities, the number achieving INRS N and P load reduction goals since 2013 are summarized in the table below.

Point Source Facilities Meeting Reduction Targets at the end of Each Calendar Year
YearNitrogen - Facilities Meeting Percent Reduction TargetsPhosphorus - Facilities Meeting Percent Reduction Targets
201392
201492
2015146
2016199
20172411
20182913
20193218
20204221
20214723
20225827
20235430

Reported N and P loads for major public and industrial facilities since the INRS was adopted in 2013 are summarized in the table below. The point source N and P load goals are 7,556 and 1,303 tons, respectively.

Annual Total Nitrogen and Phosphorus Loads from Major Publicly Owned Treatment Works, Minor Domestic, and Industrial Facilities with Biological Treatment of Process Wastewater.
YearNitrogen Load (tons)Phosphorus Load (tons)
201314,0542,623
201815,2123,234
201915,0763,267
202013,4492,706
202114,0072,931
202213,3952,794
202313,4272,665

Water

An Overview of the Water Measurement Indicator

The INRS Logic Model and reporting on efforts via the dashboards enable the documenting of key metrics that inform feedback to identify and focus inputs, activities, and outputs to advance the goals of the INRS. Reporting water quality changes includes monitored nutrient loads from rivers and modeled changes in nonpoint source nutrient export (point source tracking reported in the Land dashboard) based on agricultural management and BMPs adopted or installed.

This dashboard summarizes each tracked component of the Water indicator:

  • Annual N and P export from the state of Iowa based on measured loads from rivers
  • Modeled impacts of INRS-related BMP adoption and construction, agronomic practices, and land use on water quality

Monitoring results demonstrate that water quality varies from year to year as a result of the interactions between and influences of weather, land management practices, conservation practice adoption, and point source nutrient loading.

The scales, spatially and temporally, at which it is anticipated that water quality benefits may be detectable from monitoring data are reviewed in the next tab. A 2020 nitrogen-focused report prepared for the Iowa DNR, How Long Will it Take to Measure an Improvement in Iowa's Water Quality?, explored this topic in greater detail.

Changes from 1980-1996, the "baseline period", to the initial INRS assessment from 2006-2010, the "benchmark period", are summarized in the table below for nonpoint (NPS) and point (PS) loads. Nonpoint and point source changes between the two periods are also summarized in a short publication. Practice effects on nutrient loads are compared to the baseline period.

Summary of INRS Baseline (1980-1996) and Benchmark (2006-2010) Nitrogen and Phosphorus Loads by Source
NutrientSourceBaseline Load (tons)Benchmark Load (tons)Change from Baseline to BenchmarkMajor Cause of Change
NitrogenNPS278,852*293,3955.2% IncreaseLand use change
NitrogenPS13,17014,0546.7% IncreaseFlow increase
NitrogenTotal292,022307,4495.3% IncreaseN/A
PhosphorusNPS21,43616,80021.6% DecreaseReduced tillage and soil test P
PhosphorusPS2,3862,6239.9% IncreaseFlow increase
PhosphorusTotal23,82219,42318.5% DecreaseN/A

*The methods used to derive the total nitrogen estimate of 292,022 tons indirectly reflected the point source contributions.

Measuring N and P Load at Scale and Time

Measuring changes in nutrient loads is challenging, as flow, the amount of runoff that leaves fields, is the strongest predictor of nutrient loss and varies annually. Detecting change at any scale over time is further complicated by the presence of "legacy nutrients" which have accumulated in soil and groundwater over time and are slowly lost to waterways, contributing to persistent water quality impairment even in areas with improved management practices. Understanding water quality improvement over time is important to evaluating progress towards INRS goals, and it is important to note that longer-term trends are better at illustrating progress than values associated with individual years.

Ongoing research continues to examine the spatial and temporal scales at which N and P load reductions can be quantified. The scales at which changes in water quality are likely detectable are summarized in the table below.

Overview of the Time Scale at which Changes in Nutrient Loads may be Reasonably Detected by Watershed Size
Landscape ScaleProgress Measurable (years)Description of Scale
Edge of a Farm Field0-10Loss can occur through tile flow, soil loss, and runoff
Farm Fields in a Sub-Catchment0-10Crop rotations, buffer use, and erosion control vary by watershed
Small Watershed (HUC12)10+HUC12s average 22,500 acres, or about 16 per county
Large Watershed (HUC8)10-20HUC8s average 961 acres, or cover the area of about 2.5 counties
State of Iowa within the Mississippi River Basin20+Iowa covers 4.5% of the Mississippi River Basin by area

Water Quality Monitoring Infrastructure in Iowa

Statewide Monitoring
Water quality monitoring for statewide reporting in 2023 was conducted by the United States Geological Survey (USGS), the Iowa Department of Natural Resources (DNR), the Iowa Institute of Hydraulic Research (IIHR), and the Iowa Geological Survey (IGS). For years, the USGS has monitored a large number of sites, providing a long-term historical flow record. This allows for estimation of nutrient loads for prior years based on monitoring efforts by state agencies. 

The Ambient Water Quality Monitoring Network was comprised of 59 monitoring sites to measure N and P in 2023. Of these 59 sites, statewide loads were estimated from monitoring sites near the boundaries of Iowa at 18 and 16 sites for N and P, respectively. Nutrient loads reported are the total for each river at the monitoring site, including loads that originated from outside of Iowa.  These sites utilize DNR monthly sampling data, and USGS sensor data or IIHR-operated probes that offer “real-time” data as available, for each monitoring site to estimate load based on USGS flow data for each site.

More information about USGS, DNR, or IIHR-administered monitoring sites can be found on the following websites:

Note that real-time data from sensors is made publicly available upon collection, but records may not be certified until several months after data collection by the agency operating the gage or sensor.

Local Monitoring

Local monitoring efforts have been implemented by INRS reporting partners to monitor baseline conditions or to measure the effect of implementing a BMP(s). These efforts include DNR programs (other than the Ambient Stream Network) that monitor smaller rivers, streams, and lakes, and research programs conducted by Regents institutions, Iowa Soybean Association, and Agriculture’s Clean Water Alliance. The scope of monitoring includes general monitoring of surface waters, small watersheds (to assess the impact of a BMP at the field or small catchment scale), or tile drain outlet monitoring. Monitoring locations submitted by reporting partners are summarized at the HUC-12 watershed scale on the map in the adjacent tab.

Monitoring efforts submitted by reporting partners are summarized at the HUC-12 watershed scale in Appendix D.

Surface Water Monitoring Sites in Iowa

Statewide N and P loads are measured at monitoring sites on major rivers (18 N sites and 16 P sites) near the boundary of Iowa before flowing into the Mississippi or Missouri Rivers. These monitoring sites are able to cover the majority of the surface area of the state of Iowa. In addition, areas of river basins originating in Minnesota are included in the Iowa statewide load as loads are reported at the basin outlet. 

The major rivers and contributing areas (upstream areas draining to each monitoring point), as well as monitoring efforts by organizations submitting monitoring efforts to INRS tracking, are summarized by HUC-12 watershed size in Appendix D.  

Iowa Precipitation Summary (2023)

The INRS reports on nutrient loading and water yields at the state scale. However, the amount of water each region receives, which varies regionally and temporally each year, drives the amount of flow. In 2023, the average precipitation for Iowa was 26.82 inches, 8.73 inches less than the long-term average. The water yield during the INRS baseline period was approximately one-third of precipitation, while in 2023, the water yield was about 16% of precipitation.

More information about Iowa's climate - monthly or annual climate summaries, maps, current conditions, and drought reports - can be found on the Iowa Climate Bureau's webpage on the Iowa Department of Agriculture and Land Stewardship website.

Iowa Precipitation Summary (2024)

The INRS reports on nutrient loading and water yields at the state scale. However, the amount of water each region receives, which varies regionally and temporally each year, drives the amount of flow. In 2024, the 29th wettest year on record for Iowa, the state's average precipitation was 36.95 inches, which is 1.4 inches greater than the long-term average precipitation depth. The water yield during the INRS baseline period was approximately one-third of precipitation, while in 2024, the water yield was about one-fourth of precipitation.

More information about Iowa's climate - monthly or annual climate summaries, maps, current conditions, and drought reports - can be found on the Iowa Climate Bureau's webpage on the Iowa Department of Agriculture and Land Stewardship website.

Water Yield for Iowa

The net amount of water generated on the basis of stream flow versus precipitation regressions for watersheds across Iowa. Flow is summarized below and used to assess nutrient load relative to flow in subsequent sections.

Water Yield for Iowa - The Net Amount of Water Generated on the Basis of Stream Flow versus Precipitation Regressions for Watersheds Across Iowa
Year2000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024
Flow (in/yr)4.2210.174.755.038.786.235.614.3518.3812.7220.811.13.5110.2510.8712.9615.7610.4617.8518.7410.015.465.484.38.99
Five-Year Average Flow (in/yr)N/AN/AN/AN/A6.596.996.088.010.6711.4614.3715.4713.311.6811.319.7410.6712.0613.5815.1514.5612.511.518.86.85

Measured Changes in N Export Based on River Monitoring (2023)

The nitrate-N load from Iowa for 2023 was about four times lower than the 24-year average load, while the 2023 flow-weighted nitrate-N load (FWNL) was about 60% of the 24-year average load.

The statewide water yield in 2023 was less than half of the average water yield for the 2000-2023 period. Periods of low statewide flow tend to correspond to low statewide N loads, as less N is lost through runoff or drainage from fields. However, N losses per water yield (FWNL) during wet periods following a drought year are typically larger as increased flow leads to leaching of unutilized nutrients from soils. 

Measured Changes in N Export Based on River Monitoring (2024)

The nitrate-N load from Iowa for 2024 was about 1.2 times greater than the 25-year average load, while the 2024 flow-weighted nitrate-N load (FWNL) was the greatest recorded since 2000 (approximately 135% of the 25-year average load).

The statewide water yield in 2024 was about 1.25 inches less than the average water yield for the 2000-2024 period. While years with lower flows (drier years) often see low statewide N loads, N losses per water yield (FWNL) in a year following a drought year (e.g., 2024) are typically larger, as unutilized nutrients that have been able to accumulate in soils are "flushed out" with increased flow.

Nitrogen Load From River Monitoring Sites using the Linear Interpolation Method to Fill in Concentrations Between Sampling Events and the N Load Normalized to the Amount of Flow During Each Year 
Year2000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024
Annual Nitrate-N Load (ton/yr)101,298300,428115,070144,049264,357186,995174,990450,132434,611281,029455,312297,24666,189342,921267,053417,793531,776318,111426,416396,289241,25481,619141,38366,080320,001
5-year Moving Average Nitrate-N Load (ton/yr)N/AN/AN/AN/A185,040202,180177,092244,105302,217305,551359,215383,666306,877288,539285,744278,240325,146375,531392,230418,077382,770292,738257,392185,325170,068
Annual Nitrate-N Flow-Weighted Load (ton/in/yr)24,02329,53924,20628,63130,11330,03431,24831,35823,64222,10121,88926,78218,85233,44924,56532,23933,74130,41623,89521,15224,10214,95925,78415,35235,584
5-year Moving Average Nitrate-N Flow-Weighted Load (ton/in/yr)N/AN/AN/AN/A27,30228,50528,84630,27729,27927,67726,04825,15422,65324,61525,10727,17728,56930,88228,97128,28926,66122,90521,97820,27023,156

Annual data is driven primarily by flow within each monitoring year. Applying a five-year moving average assists in characterizing statewide loads and variability anticipated with changes in inter-annual precipitation. These trends are cyclical and are observed in the nearly twenty years of available data. Statewide N loads reflect agronomic practices and adoption of N management BMPs in addition to hydrologic trends.

Water Quality - Nitrogen Monitoring

Nutrient loading from Iowa is reported as the monitored load in rivers (modeled for each river based on collected monitoring data) and modeled impact of land use practices on nutrient load. Information on how nonpoint and point source loads were determined for the INRS baseline can be found in the reports titled:

These resources established the baseline from which the nutrient load reduction goals for nonpoint and point sources are established. Both N and P loads during the baseline and benchmark periods (INRS Science Assessment period of 2006-2010) are summarized in the reports above.

State agencies, universities, and the United States Geological Survey have expanded river monitoring over the past decades to improve understanding of flow and monitor nutrients. Monitoring infrastructure was not available to measure N loads during the INRS baseline period of 1980-1996, so nonpoint and point source loads were interpolated from wastewater and population data, land use, agronomic management, practice adoption, and precipitation during the time period. The infrastructure that has been available since at least 2000 now provides a means to quantify statewide nutrient losses. Nitrogen losses can be represented as concentrations, annual loads, and flow-normalized loads.

In 2017, the INRS science team evaluated and recommended the Linear Interpolation method be used to model N load for river monitoring data (see Schilling et al. 2017 and the NRS 2017 Supplemental report titled “Assessment of the Estimated Non-Point Source Nitrogen and Phosphorus Loading from Agricultural Sources from Iowa During the 1980-96 Hypoxia Task Force Baseline Period"). This method fills in data gaps between sampling events for each monitoring site by drawing a straight line and provides a robust measure of N load. Frequent sampling provides the highest quality data with a longer time between sampling periods increasing the potential uncertainty in the modeled load.

Precipitation is the primary driver of stream flow in Iowa's rivers, and flow from rivers is monitored by the USGS (see more about gaging locations in the previous panel). Annual average flow depths by watershed are calculated using streamflow and watershed area. Statewide flow is then calculated as an area-weighted average of the flow calculated for each watershed.

Measured Changes in P Export Based on River Monitoring

Total phosphorus (P) loads are strongly correlated with the amount of flow, and P losses associated with just a few large storm events can comprise the majority of a year's P load. 

Corresponding to lower flows over many of the past several years, annual P loads and flow-weighted P loads (FWPL) have generally been lower than the target loads set by the INRS (i.e., 45% reduction in total P loads from those of the 1980-1996 baseline period).

However, a 5-year moving average is a better metric of patterns over time as it reduces the influence of year-to-year streamflow variation on P loads. For nearly every year since 2002 (the period where calculations begin), the 5-year moving average P load has been greater than the INRS P load goal, driven by P losses during years of average or above-average flow despite the lower losses from occasional periods of drought.

The FWPL is largely below the INRS baseline for the available historical record annually, and the 5-year moving average FWPL is continuously below the baseline period. This demonstrates the impact of high flow years compared to the 5-year moving average. However, no consistent trend in the annual or 5-year moving average FWPL is observed.

Annual P loads are calculated using the WRTDS-K model. Streamflow, season, measured P, and turbidity data from monitoring stations are used to calibrate the model. Values are updated each year as inclusion of additional data results in improved P load predictions. Annual flow-weighted P loads are calculated by dividing annual P loads (tons) by the amount of streamflow occurring that year (inches of flow/year). This reduces the influence of annual streamflow variation on nutrient loads when looking at trends over time.

Annual Phosphorus Loads and Flow-Weighted Phosphorus Loads
Year2000200120022003200420052006200720082009201020112012201320142015201620172018201920202021202220232024
Annual Phosphorus Load (ton/yr)6,24826,3418,1487,91318,3919,8336,97329,42238,77621,78738,89017,1695,99420,84928,12124,63524,18116,22634,83048,17812,7157,9746,8336,01817,189
5-year Moving Average Phosphorus Load (ton/yr)N/AN/AN/AN/A13,40814,12510,25214,50620,67921,35827,17029,20924,52320,93822,20419,35320,75622,80225,59929,61027,22623,98522,10616,34410,146
Annual Phosphorus Flow-Weighted Load (ton/in/yr)1,4822,5901,7141,5732,0951,5791,2452,0502,1091,7131,8701,5471,7072,0342,5871,9011,5341,5511,9522,5721,2701,4611,2461,3981,911
5-year Moving Average Phosphorus Flow-Weighted Load (ton/in/yr)N/AN/AN/AN/A1,8911,9101,6411,7081,8161,7391,7971,8581,7891,7741,9491,9551,9531,9211,9051,9021,7761,7611,7001,5901,457

Between the baseline period and the historical record for which statewide P loads have become available, there were significant changes in farm operations. Farm tillage practices rapidly transitioned in the 1980s to comply with soil conservation provisions established in the 1985 Farm Bill, the development of farm implement tools to manage higher residue systems, P application management in conjunction with soil testing, and crop protection practices. These phases of soil erosion conservation and P application management had significant impacts on statewide P losses during the INRS baseline period and before the release of the INRS in 2013.

Water Quality - P Monitoring

The river monitoring network for P is comparable to N, and infrastructure was described previously in the N section.

Iowa’s annual P loads are modeled as two distinct chemical forms, orthophosphate (OP) and particulate phosphorus (Part P). Part P is the P bound to particulate matter, such as sediment, while OP represents the dissolved form of P. Summing these two P sources, OP and Part P, produce Iowa’s overall P load. 

While they are used for estimating N loads, linear interpolation methods are not appropriate for estimating P. P loads in rivers are strongly influenced by storms, and high flow events, although infrequent, can strongly impact the P load; hence, other estimation methods are needed.

Using data from monitoring stations, P loads are estimated for each of 16 rivers near the border of Iowa using a combination of two modeling techniques: 1) the Weighted Regression on Time, Discharge and Season-Kalman Filter (WRTDS-K; Hirsch et al., 2010; Zhang & Hirsch, 2019) framework developed by the United States Geological Survey and 2) turbidity-based surrogacy models. A unique relationship between streamflow, measured P, and turbidity is used for each monitoring station to estimate P loads for that river. Data are made available for the state of Iowa. Additional research is ongoing to improve estimates of P loads during high-flow events in several watersheds in the western half of the state.

The WRTDS-K models used for measuring P use streamflow, time of year, water quality trends, and observed P data to fill gaps between measured P concentrations. The surrogacy models use power regression to establish a relationship between turbidity, a measure of the water’s cloudiness, and Part P. These surrogacy models are more accurate than their WRTDS-K counterparts in estimating Part P and are used whenever on-site turbidity data are available.

More information about the WRTDS-K methodology may be found in the following references:

Hirsch, R. M., Moyer, D. L., & Archfield, S. A. (2010). Weighted regressions on time, discharge, and season (WRTDS), with an application to Chesapeake Bay river inputs. Journal of the American Water Resources Association, 46(5), 857-880. doi:10.1111/j.1752-1688.2010.00482.x

Zhang, Q., & Hirsch, R. M. (2019). River Water-Quality Concentration and Flux Estimation Can be Improved by Accounting for Serial Correlation Through an Autoregressive Model. Water Resources Research, 55(11), 9705-9723. doi:10.1029/2019WR025338

Changes in N from Nonpoint Sources

Modeled N load impacts of INRS practices for which reported practice adoption data is currently available compared to the baseline period. Negative values indicate a modeled N load reduction – practices are advancing statewide INRS N goals - and positive values indicate a modeled increase in N load for management or practice compared with the 1980-1996 INRS baseline period (292,022 tons N). The percent change for each practice is calculated independently of other practices and represents the benefits of the stand-alone practice without interaction with any other practice or management effect (values aren’t additive). The potential interaction of practices remains an active area to be assessed and will be integrated into reporting as methods become available.

Changes in Modeled N Load for Practices Since the Baseline Period
INRS PracticeImpact on N Load 2022 (tons)Per. N Load Impact in 2022 (%)
Cover Crop-15,355.90-5.3
N Rate Continuous Corn-1,430.40-0.5
Water Quality Wetlands-863.3-0.3
Bioreactor, Saturated Buffer, or Multi-Purpose Oxbow-46.90
N Timing: Changes to Spring Pre-Plant, Sidedress, or In-Season-4,256-1.5
N Timing: Nitrification Inhibitor-7,375.90-2.5
N Rate Corn-Soybean38,930.2013.3

Adoption of BMPs that can be broadly adopted across Iowa increased in number, and the acreage benefitted from these practices. Cover crop adoption increased to an estimated 3.7 million acres in 2022 (INREC Ag Retailer Survey) – up from 2.8 million acres in 2021 – and is estimated to reduce N losses from the baseline period by 5.3%, or more than 15,356 tons. A rye cover crop reduces N load by an estimated 28% per the INRS (majority of cover crops planted are cereal rye or include it in the mix), with cereal rye accounting for more than 85% of cover crops planted in each of the past five years per the INREC Survey.

Similarly, practices that can be implemented at the edge-of-field (bioreactors, saturated buffers, and multi-purpose oxbows) and water quality wetlands, have seen an increase in practice adoption in recent years. These practices benefitted at least 12,600 and 147,000 for EOF practices and wetlands, respectively. These practices reduced N loads by 46.8 and 863 tons for EOF practices and nitrate removal wetlands in 2022. The adoption of these practices has increased primarily due to more recent developments of these practices and increasing prioritization in the state to scale up installations.

The effect of in-field management and land use on modeled N load indicated an increase in statewide N load with changes in agronomic practices and land use. Agronomic management and land uses are cyclical and reflect market conditions and field access. The N application rate to corn in a corn-soybean rotation had the greatest estimated increase in statewide N load, with an increase of approximately 13.3% (38,900 tons) when compared to the estimated rate during the baseline period. These rates are stand-alone and compare rates from 2022 to the 1980-1996 baseline period. The adoption of other agronomic practices or BMPs (application timing, method, inhibitor use, etc.) that have been adopted at the same time N rates have increased are also depicted in the estimated N load.

For some nutrient reduction practices, insufficient data are available to complete a statewide assessment. The evaluation of other data sources for tracking these practices over time is ongoing.

Data Analysis - N Modelling of Nonpoint Sources

Consistent with modeling approaches as in the original INRS Science Assessment, load reduction estimates were calculated for a selection of INRS practices for which practice adoption data is available. The acreages and extent of these practices were determined using various data sources, including public conservation program databases, the Cropland Data Layer, the USDA Census of Agriculture, and the Iowa Nutrient Research Education Council Agricultural Retailer Survey. For more information on the approximation of BMP use in Iowa, refer to the "Tracking Nonpoint Source Nutrient Reduction Practices - Agricultural Conservation Practices" section (farther above). These assessments are on a per-practice basis and don’t factor in the additive or in-series effects of multiple or layered practices. Modeled load changes for the INRS are based on changes by Major Land Resource Area aggregated to the state level for individual practices.

Changes in P from Nonpoint Sources

Modeled P load impacts of INRS practices for which reported practice adoption data is currently available compared to the baseline period, except for terraces and basins that are compared to changes since 2010 (contingent on records availability). Negative values indicate a modeled P load reduction – practices are advancing statewide INRS P goals - and positive values indicate a modeled increase in P load for management or practice compared with the 1980-1996 INRS baseline period (23,822 tons P). The percent change for each practice is calculated independently of other practices and represents the benefits of the stand-alone practice without interaction with any other practice or management effect (values aren’t additive). The potential interaction of practices remains an active area to be assessed and will be integrated into reporting as methods become available.

Changes in Modeled P Load for Practices Since the Baseline Period
INRS PracticeImpact on P Load 2021 (tons)Per. P Load Impact in 2021 (%)
No-Till-4,230.70-17.8
Cover Crop-2,801.60-11.8
Terrace-113.6-0.5
WASCOB, Grade Stabilization Structure, Pond-78.1-0.3
Conservation Tillage-31.6-0.1

In contrast to N, nonpoint P losses in Iowa from fields are dominated by erosion of sediment and phosphorus bound to it. Adopting tillage practices that decrease soil disturbance or leave residue to protect soil is critical to reducing P loads. Tillage practices such as no-till and conservation tillage (leaving at least 30% residue) are estimated to reduce P loads by 90% and 33%, respectively, per the INRS. The adoption of these practices has grown to an estimated 8,467,057 and 6,550,844 acres, reflecting a reduction of 17.8% (4,230 tons) and 0.1% (31.6 tons) in statewide P load as of 2022, respectively.

Structural BMPs such as terraces and basins that can reduce or trap sediment offer similar benefits by preventing soil and, thereby, the attached phosphorus from leaving a field. Since 2010, practices that protect approximately 310,000 acres have been built using public financial assistance programs and are estimated to reduce P loads by 191 tons, or 0.8% of the baseline P load. The modeled benefits of practices are independent of other practices and the interaction of adopted BMPs, agronomic practices, and land use continue to be explored.

An analysis by Geosyntec consultants, Quantification of Phosphorus Loss due to Structural Agricultural BMP Implementation – Final Report, supported by the Iowa Nutrient Research Education Council, leveraged the Iowa BMP Mapping project to assess the benefits of practice adoption from the 1980s (the leading period of the INRS baseline) to 2016-2018 (the last data collection period of the BMP mapping project). This project assessed practice adoption in approximately 20% of HUC-12 watersheds across Iowa that were determined to be statistically representative of the Iowa Major Land Resource Areas for which nutrient losses were determined for the INRS. Using INRS practice efficiencies, these practices were estimated to reduce phosphorus losses from fields by 5.2% in the 1980s and increase to 9.5% by 2016-2018. Researchers continue to develop models to assess the benefits of structural BMPs at the state level and build upon this first effort to assess structural BMPs that provide year-over-year benefits in reducing phosphorus runoff from fields.

For some nutrient reduction practices, insufficient data are available to complete a statewide assessment. The evaluation of other data sources for tracking these practices over time is ongoing. 

Data Analysis - P Modelling of Nonpoint Sources

The same sources for P modeling were used as N (see Data Analysis - N Modelling of Nonpoint Sources above).


Recommended citation: Iowa Department of Agriculture and Land Stewardship, Iowa Department of Natural Resources, and Iowa State University. (October 2025). Tracking the Iowa Nutrient Reduction Strategy. Version 4.0.


Appendix A

Summary of INRS-Related Investment for State and Federal Conservation Programs from 2012-2023. "N/A" indicates that there is no data available or that no funding was offered for a specific program for a given year.
Program201220132014201520162017201820192020202120222023Program Total
Ag Drainage Well Closure (ADW) - IDALSN/A$3,170,000N/AN/A$1,920,000$1,920,000$1,875,000$1,875,000$1,875,000$1,875,000N/AN/A$14,510,000 
Agricultural Conservation Easement Program (ACEP) - NRCS$21,100,000$13,900,000$11,000,000$10,714,000$12,500,000$14,500,000$10,500,000$9,400,000$12,300,000$29,400,000$12,162,300 $14,043,000$171,519,300
Conservation Reserve Enhancement Program (CREP) - IDALS$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000 $1,000,000 $12,000,000 
Conservation Reserve Program (CRP) - FSA$212,942,766$216,365,107$214,402,613$221,360,787$243,650,296$318,308,819$360,771,362$387,472,169$387,472,174$382,490,928$396,275,000 $403,663,000$3,745,175,021 
Conservation Reserve Program (District Buffer Initiative) - IDALS$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$900,000$900,000$900,000$900,000$900,000 $900,000 $11,400,000 
Conservation Stewardship Program (CSP) - NRCS$6,800,000$3,800,000$4,500,000$11,600,000$6,300,000$5,500,000$28,600,000$16,300,000$17,400,000$19,700,000$16,500,000 $22,200,000$159,200,000
CWSRF - General Nonpoint Source Program (GNS) - DNR$1,448,374$19,097,952$5,855,169$33,087,739$9,031,750$7,317,468$6,066,869$15,818,908$5,658,638$2,910,041$2,009,390 $3,196,208$111,498,506
CWSRF - Livestock Water Quality Facilities Program (LWQ) - DNR$7,920,004$5,354,917$5,426,596$3,047,121$3,340,508$1,805,882$2,517,174$5,331,462$990,299$600,155$271,765 $3,405,938$40,011,821
CWSRF - Local Water Protection Program (LWPP) - DNR$5,841,175$3,462,811$2,903,378$2,419,318$1,824,691$1,739,977$2,023,572$1,708,438$1,583,310$1,216,129$1,074,712 $1,959,214$27,756,725
CWSRF - Onsite Wastewater Assistance Program (OSWAP) - DNR$1,697,550$839,618$1,034,395$898,030$935,237$868,812$1,212,829$915,480$1,089,180$923,127$727,270 $1,130,132$12,271,660
CWSRF - Sponsored Projects - DNRN/AN/AN/A$3,736,000$5,748,000$5,424,823$2,618,283$1,627,000$8,109,000$7,438,958$8,543,803 $5,466,704$48,712,571
DNR - Water Quality Monitoring - DNR$2,955,000$2,955,000$2,955,000$2,955,000$2,955,000$2,955,000$2,955,000$2,955,000$2,955,000$2,955,000$2,955,000 $2,955,000$35,460,000 
Environmental Quality Incentives Program (EQIP) - NRCS$25,900,000$27,300,000$23,800,000$16,400,000$17,700,000$26,800,000$34,600,000$36,600,000$30,100,000$33,900,000$31,900,000 $31,900,000 $344,100,000 
Farm Management Demonstration Program - IDALS$625,000$625,000$625,000$625,000$625,000$625,000$375,000$287,500$100,000N/AN/AN/A$4,512,500 
GWP - IDALS Ag Drainage Well & Sinkhole - IDALS$611,656$684,090$666,739$698,244$713,765$756,085$732,645$729,870$741,396$794,343$786,964 $839,424$8,755,220
In-Field Agricultural Practices Pilot Project - ISUN/AN/AN/AN/A$1,230,000N/AN/AN/AN/AN/AN/AN/A$1,230,000 
Iowa Financial Incentives Program - Publicly Owned Lakes (IFIP-POL) - IDALS$315,000$332,500$332,500$337,500$337,500$337,500$391,750$391,750$391,750$391,750$409,250 $365,550$4,334,300
Iowa Financial Incentives Program (IFIP) - IDALS$5,985,000$6,317,500$6,317,500$6,412,500$6,412,500$6,412,500$7,443,250$7,443,250$7,443,250$7,443,250$7,775,750 $7,819,450$83,225,700
Iowa Geological Survey - Water Resource Management - IGSN/AN/AN/AN/AN/AN/AN/A$495,000$495,000$495,000$495,000 $495,000$2,475,000 
Iowa Nitrogen Initiative - IDALSN/AN/AN/AN/AN/AN/AN/AN/AN/AN/AN/A$1,000,000$1,000,000
Iowa Nutrient Research Center - ISUN/AN/A$1,500,000$1,325,000$1,625,000$1,400,000$2,269,811$1,976,653$2,015,121$2,135,195$2,076,691 $2,245,638$18,569,109
Lake Restoration - DNR$5,109,000$6,000,000$8,600,000$9,600,000$9,600,000$9,600,000$9,600,000$9,600,000$9,600,000$8,600,000$9,600,000 $9,600,000$105,109,000 
Leopold Center - ISU$1,643,615$1,838,630$1,791,916$1,876,738$1,918,525$2,032,465N/AN/AN/AN/AN/AN/A$11,101,889 
Loess Hills Development and Conservation Fund - Alliance Account - IDALS$118,750$131,250$150,000$159,375$150,000$150,000$40,000$40,000$40,000$40,000$40,000 $40,000$1,099,375 
Loess Hills Development and Conservation Fund - Hungry Canyons Account - IDALS$356,250$393,750$450,000$478,125$450,000$450,000$450,000$450,000$500,000$500,000$500,000 $500,000 $5,478,125 
NPDES - 106 Grant - Wastewater Program Management - DNR$3,090,700$2,930,000$2,993,000$2,973,375$2,966,000$2,941,000$2,925,000$2,896,000$2,887,000$2,980,000$2,983,692 $2,993,000$35,558,767
Regional Conservation Partnership Program (RCPP) - NRCSN/A$406,785N/AN/A$1,597,000$4,340,000$5,021,100$4,552,300$2,829,981$2,212,878N/A$10,520,287$29,267,753
Regional Conservation Partnership Program (RCPP-EQIP) - NRCSN/AN/AN/A$261,000N/AN/AN/AN/AN/A$2,212,878$1,367,900 N/A$3,841,778 
Resource Enhancement and Protection Program (REAP) - Soil and Water Enhancement Account - IDALS$2,400,000$2,400,000$3,200,000$3,200,000$3,200,000$3,200,000$2,400,000$2,000,000$2,400,000$2,400,000$2,400,000 $2,400,000 $31,600,000 
Section 319 - Nonpoint Source Activities - DNR$3,585,000$3,398,000$3,476,000$3,440,300$3,556,000$3,679,000$3,634,000$3,598,000$3,750,000$3,852,000$3,852,000 $3,852,000$43,672,300
Soil and Water Conservation Administration - IDALS$2,000,000$2,550,000$2,550,000$2,550,000$2,700,000$2,800,000$3,800,000$3,800,000$3,800,000$3,800,000$3,800,000 $3,800,000$37,950,000
Wastewater and Drinking Water Treatment Financial Assistance Program - IFAN/AN/AN/AN/AN/AN/AN/A$782,000$1,600,000$4,928,000$5,052,000 $5,200,000$17,562,000
Water Quality Agriculture Infrastructure Program - IDALSN/AN/AN/AN/AN/AN/AN/A$1,955,000$4,000,000$15,000,000$15,000,000 $15,000,000$50,955,000 
Water Quality Financing Program - IFAN/AN/AN/AN/AN/AN/AN/A$879,750$1,800,000$6,750,000$6,750,000 $6,750,000 $22,929,750 
Water Quality Initiative Fund - IDALSN/AN/A$12,400,000$4,400,000$9,150,000$9,375,000$10,575,000$10,575,000$12,175,000$12,175,000$10,575,000 $10,575,000 $101,975,000
Water Quality Planning - 604b - DNR$193,000$183,000$192,000$191,000$183,000$181,000$219,000$217,000$217,000$217,000$217,000 $414,000$2,624,000
Water Quality Urban Infrastructure Program - IDALSN/AN/AN/AN/AN/AN/AN/A$293,250$600,000$1,848,000$1,894,500 $1,950,000$6,585,750
Watershed Improvement Fund - IDALS$2,000,000$4,000,000N/AN/AN/AN/AN/AN/AN/AN/AN/AN/A$6,000,000 
Watershed Protection - IDALS$900,000$900,000$900,000$900,000$900,000$900,000$900,000$900,000$900,000$900,000$900,000 $900,000 $10,800,000 
Total by Year$317,537,840$331,335,910$320,021,805$347,646,152$355,219,772$438,320,331$506,416,645$535,765,780$529,718,098$562,771,754$550,794,987 $586,278,845$5,381,827,920

 

Appendix B

Reported Events by County by Program Type from 2016 to 2023
County2016 Community Outreach - Attendance2016 Community Outreach - No. Events2016 Conference - Attendance2016 Conference - No. Events2016 Field Day - Attendance2016 Field Day - No. Events2016 Workshop - Attendance2016 Workshop - No. Events2016 Youth and School Visits - Attendance2016 Youth and School Visits - No. Events2016 Total - Attendance2016 Total - No. Events2017 Community Outreach - Attendance2017 Community Outreach - No. Events2017 Conference - Attendance2017 Conference - No. Events2017 Field Day - Attendance2017 Field Day - No. Events2017 Workshop - Attendance2017 Workshop - No. Events2017 Youth and School Visits - Attendance2017 Youth and School Visits - No. Events2017 Total - Attendance2017 Total - No. Events2018 Community Outreach - Attendance2018 Community Outreach - No. Events2018 Conference - Attendance2018 Conference - No. Events2018 Field Day - Attendance2018 Field Day - No. Events2018 Workshop - Attendance2018 Workshop - No. Events2018 Youth and School Visits - Attendance2018 Youth and School Visits - No. Events2018 Total - Attendance2018 Total - No. Events2019 Community Outreach - Attendance2019 Community Outreach - No. Events2019 Conference - Attendance2019 Conference - No. Events2019 Field Day - Attendance2019 Field Day - No. Events2019 Workshop - Attendance2019 Workshop - No. Events2019 Youth and School Visits - Attendance2019 Youth and School Visits - No. Events2019 Total - Attendance2019 Total - No. Events2020 Community Outreach - Attendance2020 Community Outreach - No. Events2020 Conference - Attendance2020 Conference - No. Events2020 Field Day - Attendance2020 Field Day - No. Events2020 Workshop - Attendance2020 Workshop - No. Events2020 Youth and School Visits - Attendance2020 Youth and School Visits - No. Events2020 Total - Attendance2020 Total - No. Events2021 Community Outreach - Attendance2021 Community Outreach - No. Events2021 Conference - Attendance2021 Conference - No. Events2021 Field Day - Attendance2021 Field Day - No. Events2021 Workshop - Attendance2021 Workshop - No. Events2021 Youth and School Visits - Attendance2021 Youth and School Visits - No. Events2021 Total - Attendance2021 Total - No. Events2022 Community Outreach - Attendance2022 Community Outreach - No. Events2022 Conference - Attendance2022 Conference - No. Events2022 Field Day - Attendance2022 Field Day - No. Events2022 Workshop - Attendance2022 Workshop - No. Events2022 Youth and School Visits - Attendance2022 Youth and School Visits - No. Events2022 Total - Attendance2022 Total - No. Events2023 Community Outreach - Attendance2023 Community Outreach - No. Events2023 Conference - Attendance2023 Conference - No. Events2023 Field Day - Attendance2023 Field Day - No. Events2023 Workshop - Attendance2023 Workshop - No. Events2023 Youth and School Visits - Attendance2023 Youth and School Visits - No. Events2023 Total - Attendance2023 Total - No. Events
Adair00000000701701510000000051411000000004111011000000001011000000201144216430000131001052118332200261000058350000000000500
Adams00000000801801000030100003013310080200001133000030100003011061007510000181200000000000000000000000000005520000552
Allamakee000088300008830000501017411243000030100003013010000001982228300000000233123310000000056156100002010067187200000000611611
Appanoose0000001810018100009110082117327120000006511363000071120112622174961001121000020820000000088188100000000000000000000151151
Audubon15010055237352129470000451000045100003010015021803151002010017312083000000000000000000001211210000000012311231000000000000
Benton9240068211947313521150100902501213340374906000020145729679714001517224674625110000000012711271201400010023144329203200000036223940000000010111011
Black Hawk5440025751172208163612274320013626140654251,518214024001708126741451,112247510006346136277651,621232002003210040376351012150041400461762316301001452343316436829200160100146228346898
Boone1,0001004010514721187917010080229164234361001008734016815908104,3195003767108315234,9551814630065159227155411140100301001013171585200004812752408500008813924211694
Bremer000014530047119242810020100254330253930017510022834427181004526100694177200551182549579910161000000572733451009020020833436121000000161282
Buchanan5030042100009248630019100001054444000000644168853272001210013214714541000000181323540000000029542954692000000148221740000000010111011
Buena Vista7420011021805581422101392001984702004078000045215100603201001062303173132970100196300184138054110000001081149273200121376528535551311000095232334196
Butler0000301000030111710040113120123715000059200120217940000000018611861000000006516510000000016116167100000018185200003110012321543
Calhoun000000301140117027110039100261136300003510026161281100852152001815462000011004731000000011321142100052221412531999000000000000
Carroll0000234553500287109032511454751150148510683002205301140245811721005524538322558511000028285116441000004117021753153200002130234576000037230231133787
Cass10000088225100213300008510000851000025100852110385200140250251132670000113181107122830000000010421042130110011373002062573700000070200702
Cedar000000001422142200000000721721502000030114022205162442100008712916125100158300002834000000000000115100301002606405800000000902902
Cerro Gordo000092200581150300009910010112002143100023013452518600001672001,28851,455716810090100002582000000006416641626720029300164346080040100187224744747
Cherokee00000037100371000039100003912710000001592186300000000000000000000139213920000000020532053110032112100453352000030117142367
Chickasaw0000145200141128630000129360100189400001222109400231600008328821833354723100833007811845000080200205428560000000000000000000013031303
Clarke0000000045145100000000000000000030137214022000000004514519210040100001322000000004634630000000010621062000000000000
Clay601000000006010000000065165100000000755275520000002001751275200000081008100000000000000000000411411000040111100512
Clayton1001004522020016551493000000001493602001503000021059020037147221033848000000391003918000000082390340000000004000000000491491
Clinton000000000000551003010000852100100003015311833000025100331582421000000902132300000020100201000044100382442650000000017021702
Crawford000020100155117520000139200722211424100000013021543631009820020323645000000001,70571,705700000000222322231000581111122219240000006317221353
Dallas010010033711031240610010040115251120655230045225177238949000033235247935477531200000021837495602000000629126891420820000001172325443200001022576672110
Davis000000000000000000341003410000000000000000000091619161361000000003610000000088188111003650000376000000000000
Decatur000000000000000000000000491000000150119926110066200001273000000001462146200000000942942000000001611610000004113331374
Delaware00000011251301242600000010100101187100000000187195100000058115320000000016221622000027200245327250000301006519524620000007111173
Des Moines000075120199219441501008620025924955000003004692469566100121600381225800000000000000000100113211330000121151503462960000001521001521
Dickinson00000000000036720030930031039868300140112140012815897153100223300225360170000102100262236430000000019531953332008010000113337100009913921754
Dubuque00000000128112811021350230100264374677510000251143224341891155190300231366580000147200269341650000912001,430121,5211412160026521,06542,72464,4661510010000002,63732,7374
Emmet000000000000000000001071107145100000031276300000000841841000000000000000000007117118100002210030200000000861861
Fayette0000612003374398600005014423302424500002502001,07231,32252092501000037126305000060100400146021010000002446254774100601002293363500009720000972
Floyd3072000000003072141100000047826193754007320000148600002310094111720000241400561120220003013012223284500000040148365237241007510016522644
Franklin00000000000000000000386238625810000004811062161000000218123420000000093293200000000471471100000000010000000000000
Fremont0000000000002010055100007527410000000074124100000000241100000008718810000000000000000000012921292000000000000
Greene00009030000903321001101341551231400003010000301512001251311002074000000001332133217200000092110931242000000921216326100000000261
Grundy000000135100135126230073300180251581284004210089531,06581806006120015023911000002112023322454510100002711042141400000000000011000040218812294
Guthrie0000551000055100003510054189200000000000010100000018321933000000000000000000008018011000000010241034000022150100722
Hamilton000014212218144500000000912912200071200196126932851006014211222509541100003712211003000000100111322133000082141115320150000005017111212
Hancock000060100006011532005010083128644920000003022351427020013320000403410009010000911100022100163218630000000000000000110100001101
Hardin000045100004511851000270335113526251632200303435259242910972003183812004967911000335614151229521900000100314231436110074191232167510230018100001204
Harrison0000402000040200007510012522003000030100266129620000000061161100000000501501000000009839830000001212094221500000000924924
Henry0000100200001002153200362300171168662610000212333261544250010420091263791813000000491230400000000522552255000001411702189300002020000202
Howard201002100362238440000121000012100000300305230550000301151501953145200211531511777610025130534367772122292000000602289430010000302003303
Humboldt00001062371001433131009320000106353300401005801673510004012232292292600003515115131915000026200151413511601000029934105000000000000
Ida00003410042176200000000701701601000057571118870000000000008510082100251341850000000000000000007125132200000000812812
Iowa501000000005012893001213413113646836920040800431452116710004000067531820000001592477400000000124212422200110100001123000000000000
Jackson00000000000000000000421421000016523011821377400000000593259320000001014715720000000014941494000020100283430350000000024232423
Jasper000013441253116137580000902001912281411610010120015423715194200452005502789612620060138199161,21510000000001202120221175113140100149400000060100601
Jefferson0025010050200300300000100000126220015411100281590200501452571242627100002116221104510000201002527420038161220013736000000000000
Johnson0000120241147126325739540121032202001,2091150130114029021292439825100130100751230314620014310019534846135250100001738358119470099130157410797191,0502000009821,10192,24931
Jones00000000000000000010010010010000003018811182118100003011502298497100661001511783000030100137216736410049300143825612000000000000
Keokuk0000000000000000651000065112420050130100204411310000000011310000401000040100000000000051100102300581211500000000121121
Kossuth0000146601239238591892007820000267420000000651671100016030029924605000000711922199320006524211662275500000051005100007310012021933
Lee00000000000000005611015774643600000031901932158200000026124194323100281612212578515100001111442170416100000077193200006010015422143
Linn000000371446248332612001100283395841,367111404100126250287771,1931626850025113031,11461,537154464002144001,37092,030177140000721,262181,340242964006060062710983208304300140110381871,99816
Louisa00000000000000002010000201521000000145119723410000006419826610000002263292400000000462462941000000588768280000000018011801
Lucas000030100191222133610050100008620000030067736776000003491247229660000201009211122000000008518510000301007211022000000000000
Lyon000000000000110100100134100244300000010100101201000000339235930000701001312201300000000145314532552000000281283300000000753753
Madison000000201002019710000381581193310020001008521855000035200361713178200208118100404400002510021412392291000025120822624171003810010811633
Mahaska00004313710080265100158371173140367710040100164228144420000000044248100433301347446895000421005019721502002712501201462880000671004411112
Marion201006114100403000050150100100248100006027821865332002010022312764000000713163323400000000121212123782000025147278751010000000961971
Marshall0000351000035100001494000014941471851000010723394163300209225100397691002512413842442500000100486648671000722005305603700005010037834284
Mills000000008018012010082200001023000040100004010000301004517520000000011621162000000001893189373100000040334764000000000000
Mitchell0000002521951220331350025010079164271462005021710021358410011120000195300000041004110000000101111161002010021932555000040114112011743
Monona00000000591591000000005515510000201002671287294200171001411254491000000136218530000000018311831000000720072000000000000
Monroe000057115100722000029100891118275100000000751651000000006510000000017611761000000000000000000001612161220100000000201
Montgomery000011022020013042652000142300307600007830000783250100157300321439501000000163216330000000017931793701000000007010000000012411241
Muscatine00000000361361131200251000015630070100003182388338100501001543242500000000782782000000106339114540000000018031803000000201531732
O'Brien0000972101136124340000251300269152040000521252164224152010038950018625958000044551919315577000000101392240231000107171170128535630080130124344099
Osceola0000000000000000100100541154200000000000000000000000000000000000000004010000401154200000000154200000000141141
Page35100251000060200000000000000001001005542654350100000061836684000000002032203200000000198419847252500501000077526000000000000
Palo Alto00000000000000000034146524993000075115198118830000000000005100000064326483320100000000320100000011001100003610000361
Plymouth0000501017511253710014711514062575500006221010072380250029240012831,222120000220300246346662,018800001115852,1771420001442593227343281100001051011063
Pocahontas610000251003121665004013521362377100000201351841139300005320000532421000015147110431000321351381106300000051182318747100009112711433
Polk7,485131,105720931,02141458910,2787311,051211,912101804967487,2401921,35010228551,4439166448985,095257,47851824147716275322887,149319,24762824104529212575,664236,6674424715561310753152,773564,335891,3782357031805711254,502227,341782,481111,99881334716292,143157,47167
Pottawattamie00003510000351101100301002902421400005017022,445142,56517000000003035303500000020115031704501000000305135520000000010621062000034125141354727
Poweshiek000000000000000090300009030000291004482477394200127300288250970000351251006021000532003982452400006510010511702000000000000
Ringgold0000351000035141100000011211532000000000000000000151371138620000000044144100000100000100000000000017100000000171
Sac5100003141149340100863251224337580000010011921193201006122525211586000000463341804600100000035529553901200001012819394000000000000
Scott0000000038223822000026840089235761241006820081881,01011000021320040736205632001812001,25651,50090000421001774219531218011211139321166821347135100143110623315
Shelby0000000000000000003410034100008011511561251300000000115111511121001502002382500500000000821821000000310031000000000000
Sioux0000300300891389400001,84533919611,9805601001333113475341,0591288200346300530396485010025118532412846710000115624570670001651001232295300008133116442488
Story00402354277415356861449652,036233362001245253,51730563101,73654251015471,072133,95045387101,1377587125321,818123,9824320731,2984246622052,085104,0562856416728465332117659162,3375666251814317643363565672,64410034338114222851512140871,24473
Tama000022030016123647720026122510036354010049325136115063754007332253832756120000901004211322120100421131103227855610013630050026926000023100741972
Taylor0000451371008222060061247300128113030013531531211301102384001422127113449000050100781128225820000002822540472340053230298290410000000000000
Union10000000007211721751002910000104220100401810068300000000000000000000431431000000002912910000000014611461000000000000
Van Buren0000129202001294174200103100002773912000011193128549810000001202218386100000017812642000000002483248348100000023432824000000000000
Wapello0000127400001274000025164213832276201000000831103200001103711,29231,40970000000048834883300000003165319510000001411,09931,123400003010016221923
Warren5010000000050100000041174111526110000008511462000000007522752253100000058111122910000005418320000000023123100006510026233274
Washington0000130220110012504149300137491326426411212940074248138566361360200203437323345331311020023658136237161100004520123332786179103002411418122510611008420019032756
Wayne0000000000000000000000000000000012411241441000000371812731000000531126200000000481481000000000000000000000000
Webster0000861004411302301001943251632312734030000211122148351472002064393378377012000090120153116330000000026032603200200000012323234100022135115822164
Winnebago000000472004720000251001241149200003010000301000000009929926210000007023764420000000671691501000000711121200000000972972
Winneshiek0000401001182158333830000201361271960000572006923749500004011251387355250000110117516175902721000001347434969110015113841202364870200000000702
Woodbury00000000000018810018720096147140000000080528052201004510066213140000000053935393000000751918420000000047544754000028131351663
Worth00000000000000000034100341000000000000000000000000000000008028020000000000000000000010511051000000000000
Wright51001596010016482730070381001057854001455301105236512000057214114822195261000016130172391000000318532760000000019119100009100461552

 

Appendix C

Summary of BMP Adoption by HUC-8 Watershed in 2023
HUC-8 NameHUC-8 IDNo-Till (Acres)Conservation Tillage (Acres)Cover Crops (Acres)Bioreactors and Saturated Buffers (Number)Water Quality Wetlands (Number)Structural Erosion Control Practices (Acres)
Blue Earth070200099,80094,1005,000004
Root07040008600700200000
Coon-Yellow0706000160,00043,30013,800006,100
Upper Iowa0706000293,200121,60027,000022,600
Grant-Little Maquoketa0706000343,40044,90016,20000980
Turkey07060004220,500303,60063,300113,400
Apple-Plum0706000554,60046,90011,50000130
Maquoketa07060006226,600332,60052,900313,700
Copperas-Duck0708010179,00068,10013,1002090
Upper Wapsipinicon07080102172,300374,10045,400401,100
Lower Wapsipinicon07080103172,200182,40025,80020170
Flint-Henderson0708010446,90083,8009,000103,300
South Skunk07080105250,200364,30046,40026133,500
North Skunk07080106188,400123,90028,600223,800
Skunk07080107197,600259,50052,8005125,000
Upper Cedar0708020180,600210,00033,7001112710
Shell Rock0708020266,900180,40023,90006150
Winnebago0708020323,500138,7009,000060
West Fork Cedar0708020476,000225,60017,30002100
Middle Cedar07080205380,400561,80099,40028162,200
Lower Cedar07080206198,300219,70040,8001102,800
Upper Iowa07080207110,100375,50021,40037340
Middle Iowa07080208347,600265,40055,000401,800
Lower Iowa07080209301,300233,70068,6000013,500
Upper Des Moines0710000232,900257,30012,000110140
East Fork Des Moines0710000332,500287,70014,3000540
Middle Des Moines0710000489,600366,20025,6001511640
Boone0710000529,700231,00010,20024460
North Raccoon07100006236,100502,10049,00032201,500
South Raccoon07100007221,500148,70021,200363,100
Lake Red Rock07100008358,500225,90034,00078212,500
Lower Des Moines07100009169,200208,10036,9002017,700
Bear-Wyaconda0711000118,50024,8005,400007,800
North Fabius071100025,9007,5001,800001,100
Lower Big Sioux10170203104,300144,20016,900005,200
Rock1017020491,000166,40018,200213,000
Blackbird-Soldier10230001187,900104,50012,500002,000
Floyd10230002154,600208,20022,500607,700
Little Sioux10230003291,600459,60026,500263,100
Monona-Harrison Ditch10230004218,300146,50015,000002,000
Maple10230005128,800131,6009,100002,100
Big Papillion-Mosquito10230006204,90049,70010,400004,100
Boyer10230007330,400155,40020,300218,600
Keg-Weeping Water10240001134,10034,2009,200002,800
West Nishnabotna10240002584,900144,20034,9004014,500
East Nishnabotna10240003388,10086,10025,2000012,800
Nishnabotna1024000424,50012,9001,30000350
Tarkio-Wolf10240005101,20028,3006,500008,600
West Nodaway10240009240,10059,00015,100009,700
Nodaway10240010112,20036,3007,100007,300
Platte1024001284,30025,2003,700004,100
One Hundred and Two1024001397,20028,6004,100003,900
Upper Grand1028010188,20021,5003,300006,100
Thompson10280102158,10058,10015,0000013,300
Lower Grand1028010323,10012,3002,40000970
Upper Chariton10280201107,10059,30012,2000021,900

Note that in the table above, HUC8-level tillage and cover crop acreages are derived from USDA Census of Agriculture data (collected every five years) and reflect values for acres planted in the fall of 2022.

Appendix D

Surface Water Monitoring by HUC-12 Watershed and Scale of Monitored Watershed, 2023
HUC-12 NameHUC-12 IDLarge WatershedMedium WatershedSmall Catchment or Field-ScaleSmall WatershedVery Small WatershedTile
101702040702101702040702000100
Aldrich Creek-Maple River102300050304000100
Allen Creek-Des Moines River071000040702100000
Allison Creek-Maquoketa River070600060210010000
Alloway Creek-North Skunk River070801060103000100
Ash Creek-Rock River101702040306000100
Bacon Creek-Missouri River102300010305000200
Badger Creek071000040403000100
Badger Creek071000080402000100
Ballinger Creek-South Skunk River070801051202000020
Bays Branch071000070602000001
Bear Creek070802051204000100
Bear Creek071000070901000100
Bear Creek071000040705000001
Bear Creek102300031208000001
Bear Creek School-Bear Creek071000090706000100
Bear Creek-Cedar River070802051004001100
Beaver Branch-Beaver Creek071000040906000100
Beaver Creek071000040911030000
Beaver Creek071000020803001002
Beaver Creek070802070502000100
Beaver Creek070802020702000003
Bennett Creek-Iowa River070802080407100000
Big Bear Creek070802080806011001
Big Creek071000040803000100
Big Hollow-Flint Creek070801041203000100
Big Marsh State Wildlife Area-West Fork Cedar River070802040605001000
Birch Creek-Sugar Creek071000091102001001
Bitter Creek-Little Sioux River102300031411100000
Black Cat Creek071000030504000100
Black Hawk Park-Cedar River070802050703100100
Blood Run101702031702000100
Bloody Run070600011002000210
Bloody Run-Cedar River070802011005200005
Blue Creek070802051502010000
Bluegrass Creek102400030203000100
Bluff Creek071000040703000200
Bluff Creek071000090503000100
Brandywine Creek070801070902010110
Brewers Creek071000050702000110
Bridge Creek070801060602000100
Britton Branch-Little River102801020701000100
Brockamp Creek-Turkey River070600040309000100
Brown Creek-Des Moines River071000090704100000
Brush Creek070802080202000100
Brush Creek-Big Creek070801070904000200
Brushy Creek071000040504000100
Buck Creek070801020504000100
Buck Creek071000050502000100
Buck Creek-North Fork Maquoketa River070600060803010000
Buck Run071000060309001002
Buckley Creek070801051201010010
Buffalo Creek070802040301000001
Buffalo Creek-Maple River102300050207000100
Burr Oak Creek101702040801000100
Burr Oak Creek-Little Sioux River102300031301000100
Burr Oak Creek-Turkey River070600040308010000
Bush Branch071000080606000010
Buss Creek-Boyer River102300070306000100
Buttrick Creek071000061204000100
Byers Branch-Indian Creek070801050804010000
Camp Creek071000060505010000
Camp Creek-West Nishnabotna River102400020805200000
Carlan Creek-Turkey River070600040902300000
Catfish Creek070600050102000100
Cattail Slough-Mississippi River070801010204300000
Cedar Bend County Park-Cedar River070802011204100000
Cedar Creek070801070710020200
Cedar Creek071000060904010000
Cedar Creek071000090310020000
Cedar Creek070801071004000100
Cedar Creek-North Fork Maquoketa River070600060804010000
Cheslea Creek-Willow Creek070802030203000100
City of Ames-South Skunk River070801050406010000
City of Bouton-Beaver Creek071000040909000007
City of Carroll-Middle Raccoon River071000070203000110
City of Decorah-Upper Iowa River070600020404010000
City of Emmetsburg-Des Moines River071000020404100000
City of Guthrie Center-South Raccon River071000070404010000
City of Mason City-Winnebago River070802030306010000
City of Panora-Middle Raccoon River071000070603020000
City of Prairie du Chien-Mississippi River070600011003100010
City of Spencer-Little Sioux River102300030804001000
Clear Creek070802030201000100
Coal Creek-South Raccoon River071000070902030000
Coon Creek070802050805000100
Coon Creek-Iowa River070802080904000100
Cooper Creek102802010403000100
Coppers Creek-Des Moines River071000091206400100
Cottonwood Drain070801041101000010
County Ditch No 55070802020106000100
Crane Creek-Cedar River070802060806300000
Crooked Creek071000040605000001
Crow Creek070801010405000100
Davis Creek070802090801000002
Davisons Creek-Iowa River070802080405010000
Deep River070802090403000100
Deer Creek070802010403000100
Devils Run070802090405000100
Devils Run-Wolf Creek070802050808000100
Dickerson Branch-Thompson River102801020601020100
Ditch No 25-Iowa River070802091102100000
Ditch Number 60102300030703000100
Doe Creek-Volga River070600040608010000
Drainage Ditch 101-North Raccoon River071000060308010004
Drainage Ditch 116-Prairie Creek071000050103000100
Drainage Ditch 117071000050101000100
Drainage Ditch 13-Lake Creek071000060603000100
Drainage Ditch 13-South Skunk River070801050903020000
Drainage Ditch 148-Beaver Creek070802050203000010
Drainage Ditch 171-North Raccoon River071000061405200000
Drainage Ditch 19-Little Sioux River102300030305011000
Drainage Ditch 1-Boone River071000050205010000
Drainage Ditch 206071000050703000201
Drainage Ditch 20-Cedar Creek071000060208010000
Drainage Ditch 25-North Raccoon River071000060802001001
Drainage Ditch 3070802011002000120
Drainage Ditch 3071000050603000101
Drainage Ditch 32-Boone River071000050704020000
Drainage Ditch 35-Des Moines River071000020903201001
Drainage Ditch 44-Boone River071000050204000200
Drainage Ditch 46-Boone River071000050605010000
Drainage Ditch 4-Boone River071000050604020000
Drainage Ditch 51-East Fork Des Moines River071000030802010000
Drainage Ditch 62-Silver Creek071000020301000100
Drainage Ditch 68-Boone River071000050606010000
Drainage Ditch 71070801050102000100
Drainage Ditch 73-North Raccoon River071000060801030000
Drainage Ditch 74-Cedar Creek071000060204010000
Drainage Ditch 80071000020501000100
Drainage Ditch 9071000050602000100
Drainage Ditch 94-East Fork Des Moines River071000030806010000
Drainage Ditch No 1070802070102000100
Drainage Ditch No 21070200090401000001
Drainage Ditch No 9-East Branch Iowa River070802070204001004
Dry Branch-Iowa River070802080403100000
Dry Creek070802051505000100
Dry Run070802050701000200
Dry Run102300030504000010
Dry Run Creek101702040803000100
Dudgeon Lake State Wildlife Management Area-Cedar River070802051105100101
Dunns Creek-West Nodaway River102400090603000100
Dutch Creek-Wapsipinicon River070801030201100000
Eagle Creek071000050403010000
East Branch Blue Creek070802051501010000
East Branch Boone River071000050203000102
East Branch Iowa River070802070205000100
East Branch Panther Creek071000070802000001
East Branch Salt Creek070802080505000001
East Buttrick Creek071000061102000100
East Cedar Creek0710000609030000011
East Fork Des Moines River071000030903100000
East Indian Creek070801050604000100
East Nodaway River102400100110020000
East Okoboji Lake102300030203000300
East Otter Creek-Otter Creek070802051302000010
Elk Creek102300031101001000
Elk Creek102801020402000100
Elk Run070802050901010000
Elk Run-North Raccoon River071000060804014229
Elliott Creek102300040401000100
Elm Lake State Game Management Area-Iowa River070802070302010001
Emery Creek101702040605000100
English Creek071000090102000100
English River070802090606010010
Etter Creek-Wapsipinicon River070801020601010000
Fannys Branch-North Raccoon River071000061501000002
Felters Branch-Middle River071000080701020000
Floyd River102300020504030000
Fourmile Creek070802050804000100
Fourmile Creek102801020207000100
Fourmile Creek-East Nishnabotna River102400030706100100
French Hollow-Turkey River070600040709010110
Frog Creek-North Raccoon River071000061503100001
Frog Hollow070600040505000100
German Creek070801060603000100
Gizzard Creek070802011004000010
Gran Creek-Beaver Creek070802050204000100
Greenbrier Creek071000061302001101
Gypsum Creek-Des Moines River071000040604100000
Hainer Creek-Maquoketa River070600061005200000
Halfway Creek102300050202000010
Hammers Creek-Beaver Creek070802050304020100
Hardin Creek071000061005011002
Harris Grove Creek-Boyer River102300070604020000
Hawleyville Cemetary-East Nodaway River102400100109000001
Headwaters Beaver Creek070802050201100000
Headwaters Beaver Creek070802030107000100
Headwaters Beaver Creek071000040905000001
Headwaters Big Creek070801070901000100
Headwaters Black Hawk Creek070802050502000010
Headwaters Boone River071000050201000001
Headwaters Cedar Creek070801070601010101
Headwaters Cedar Creek071000060202004005
Headwaters Deep Creek070600060901000010
Headwaters Deer Creek070802080301000100
Headwaters Eagle Creek071000050402000100
Headwaters East Branch Iowa River070802070203000010
Headwaters East Nishnabotna River102400030201000003
Headwaters East Nodaway River102400100102000100
Headwaters English Creek071000090101000100
Headwaters Flood Creek070802020501000100
Headwaters Hardin Creek071000061001000100
Headwaters Honey Creek070802070701000010
Headwaters Jack Creek071000020202000100
Headwaters Middle Creek070801060301000100
Headwaters Middle Fork One Hundred and Two River102400130103000002
Headwaters Miller Creek070802050904010010
Headwaters North English River070802090401000100
Headwaters North Fork Black Hawk Creek070802050402000100
Headwaters North Raccoon River071000060301001001
Headwaters Otter Creek071000050302000101
Headwaters Prairie Creek071000050102000100
Headwaters South Beaver Creek070802050102000010
Headwaters South Fork Iowa River070802070601000010
Headwaters Tarkio River102400050602000030
Headwaters Tipton Creek070802070401000002
Headwaters Twelvemile Creek102801020101000100
Headwaters West Branch Iowa River070802070101000100
Headwaters West Branch One Hundred Two River102400130202000001
Headwaters West Buttrick Creek071000061202000002
Headwaters West Fork One Hundred Two River102400130204000001
Headwaters West Nodaway River102400090401000100
Headwaters White Breast Creek071000081302000100
Headwaters White Fox Creek071000050501000210
Heisler Creek-Maple River102300050308020000
Henry Creek-Little Sioux River102300031109000010
Hickory Creek070801030301001002
Hickory Creek-Chariton River102802010405010000
Hickory Creek-North Raccoon River071000061505100000
Hinkle Creek070802051102000100
Holland Creek070802050501000010
Honey Creek070801070304000100
Honey Creek-Des Moines River071000040706000010
Honey Creek-Volga River070600040606010000
Indian Creek070802050903010000
Indian Creek071000020902001003
Indian Creek070802060103000100
Indian Creek-North Raccoon River071000060403000100
Iowa Lake070200090601000100
Jefferies Creek-Thompson River102801020603000100
Jefferson Cemetary-Middle River071000080605001000
Jim Creek-West Nishnabotna River102400020501010000
Johnson Creek070802050301000100
Johnson Creek-Mill Creek102300031205000100
Johnson Creek-Raccoon River071000061702200000
Joint Drainage Ditch 3-Boone River071000050601010000
Jordan Creek-Raccoon River071000061703300200
Kanaranzi Creek101702040205000100
Keg Creek Ditch102400010105000010
Keigley Branch070801050405000100
Kemp Creek102400100106000100
Kettle Creek-Des Moines River071000090709200100
Kickapoo Slu-Mississippi River070801010601000100
Kirk Branch-White Breast Creek071000081403020000
Klondike Creek101702031901000200
Lake Creek071000060605010000
Lake MacBride-Mill Creek070802081008000110
Lake Manawa-Missouri River102300060602000100
Lake Panorama-Middle Raccoon River071000070601020101
Lake Quinnebaugh-Missouri River102300010407000100
Lake Rathbun-Chariton River102802010209000100
Lateral 20710000603040021010
Lateral 3-North Raccoon River071000060306010000
Lateral 6-North Raccoon River071000060303001001
Lime Creek070802051003000010
Little Bear Creek070802051203000100
Little Beaver Creek-Beaver Creek071000040908000002
Little Cedar Creek071000060103001101
Little Cedar Creek070801070707000100
Little Cedar River070802010903010000
Little Eagle Creek071000050401000100
Little Floyd River102300020302000020
Little Sioux River102300031510310000
Little White Breast Creek071000081305000110
Little Wolf Creek070802050802010000
Long Branch-South Raccoon River071000070704010000
Lost Branch-Chariton River102802010207010000
Lost Creek070801030606000100
Lost Island Outlet102300030704000100
Lower Brushy Creek071000070303011002
Lower Clear Creek070802090103000200
Lower Duck Creek070801010302000100
Lower East Boyer River102300070103000100
Lower East Fork One Hundred Two River102400130104000201
Lower Fourmile Creek071000080103000100
Lower Indian Creek102400020402000100
Lower Little Maquoketa River070600030604000010
Lower Lizard Creek071000040303010000
Lower Mosquito Creek071000070502010000
Lower Mud Creek101702040403000200
Lower South Branch Lizard Creek071000040204000001
Lower South Fork Chariton River102802010108010000
Lower South Fork Iowa River070802070604030000
Lower Squaw Creek071000080804000100
Lower West Fork Middle Nodaway River102400090104000100
Lower Willow Creek071000070104010000
Lower Yellow River070600010906030000
Lynn Creek-Big Creek070801070905100020
Lyons Creek071000050701000100
Malone Creek-Wapsipinicon River070801020803100000
Marrowbone Creek-North Raccoon River071000060806202101
Martha Creek-Upper Iowa River070600020206010000
Martin Area County Park-Little Sioux River102300031302100000
Max Creek-Beaver Creek070802050303000010
McDonald Creek-Wapsipinicon River070801030605210000
McFarlane State Park-Cedar River070802051005000005
Mead Creek-Little Wapsipinicon River070801020102000010
Middle Branch Boone River071000050202000100
Middle Branch One Hundred and Two River102400130201000100
Middle Brushy Creek071000070302000203
Middle Clear Creek070802090102000300
Middle East Branch West Nishnabotna River102400020104000110
Middle East Fork One Hundred Two River102400130102000002
Middle Fork Little Maquoketa River070600030601000100
Middle Fork One Hundred and Two River102400130105001002
Middle Fork South Beaver Creek070802050101000010
Middle Fourmile Creek071000080102000100
Middle Mud Creek101702040402000100
Middle Soap Creek071000090605000100
Middle Troublesome Creek102400030103000100
Middle West Fork Crooked Creek070801070102000100
Middle Willow Creek102300070402000100
Milford Creek102300030204010300
Mill Creek102300070305000100
Mill Creek-Cedar River070802060405100000
Mill Race-Iowa River070802081003100000
Miller Creek070802050905011102
Miller Creek-South Skunk River070801050402000100
Mineral Creek070600060409000100
Minnehaha Creek-Black Hawk Creek070802050504000100
Monona-Harrison Ditch102300040503010000
Moon Creek070801060402000100
Moon Creek-Rock River101702040703010100
Morgan Creek070802051506000210
Mormon Branch-East Nishnabotna River102400030702010000
Moser Creek-Mosquito Creek102300060401000100
Mosquito Creek070802050503000100
Mud Creek070802051104010230
Mud Creek-Prairie Creek070802051403000010
Murphy Branch-Des Moines River071000041001000003
Negro Creek-Silver Creek070801030601000010
Nelson Creek-Cedar River070802051504000100
Neola Creek-Mosquito Creek102300060404000110
Nishnabotna River102400040202100100
No Business Creek-West Nodaway River102400090703030000
Nodaway Lake-Middle Nodaway River102400090201000200
North Beaver Creek070802050202000010
North Branch Big Creek-Big Creek070801070903020110
North Fork Black Hawk Creek070802050403000100
North Fork Little Maquoketa River070600030602000100
North Fork Long Creek070802090901000100
North River071000080405020000
North Skunk River070801060604010000
Ocheyedan River102300030510010000
Old Womans Creek-Old Mans Creek070802090207020000
Opossum Creek070802051201000100
Osterman Creek-Ocheyedan River102300030503000100
Otter Creek071000050303000100
Otter Creek101702040505000110
Otter Creek-Iowa River070802091104400000
Otterville Bridge State Access-Wapsipinicon River070801020801010000
Our Saviors Church-Big Sioux River101702031903010000
Outlet Creek071000060307000300
Outlet South Raccoon River071000070904100000
Paint Creek-Upper Iowa River070600020602030000
Panther Creek071000070803000100
Parnell Creek-Little Sioux River102300031506100000
Peters Creek-Flood Creek070802020503000001
Phelps Creek-Beaver Creek070802050302000010
Picayune Creek-Sugar Creek070801041602020100
Pickerel Run102300030702000100
Pilot Creek071000020703000005
Pine Creek070801020802000010
Pine Creek-Iowa River070802070902020200
Pitman Creek-Sugar Creek070801041604000200
Pleasant Creek-North Skunk River070801060404000100
Pleasant Run-Cedar River070802060401110000
Poor Farm Creek071000060305000100
Poyner Creek070802050902000010
Prairie Creek071000040603003203
Prairie Creek070802051405000100
Prairie Creek071000060205000100
Prairie Creek071000060803000101
Prairie Creek102300030803000100
Prairie Creek-Boone River071000050705020010
Prairie Creek-Cedar River070802051103010000
Prairie Creek-Iowa River070802090806200000
Prairie Creek-Skunk River070801071002000110
Pratt Creek070802051101000110
Prescotts Creek-Black Hawk Creek070802050602010200
Price Creek-Des Moines River071000090501200000
Pumpkin Creek-Maquoketa River070600061001010000
Purgatory Creek071000060702000100
Rainbow Bend County Park-North Raccoon River071000060805103003
Ralston Creek-Iowa River070802090703301020
Ramsey Creek-English River070802090605010000
Rapid Creek070802090701000100
Richland Creek070802080701000100
Rock Creek070802050806010000
Rock Creek070802010604000002
Rock Creek-Cedar River070802051001000111
Rock Creek-Des Moines River071000041002110000
Rock Creek-North Skunk River070801060104000100
Rock River101702040805100000
Rogg Creek-Rock River101702040804200000
Rollins Creek-Des Moines River071000091209000100
Royer Creek-Beaver Creek071000040910010000
Sac City-North Raccoon River071000060310010000
Salt Creek070802080507010000
Sand Creek070600060208000010
Saylor Creek-Des Moines River071000041003200000
School Creek-Des Moines River071000020106100000
Schutte Creek-Otter Creek101702040502000010
Sevenmile Creek102801020208000010
Shell Rock River070802020705300100
Short Creek-South River071000081201020000
Silver Creek-Cedar River070802051507300000
Sink Creek-Cedar River070802050906100200
Skillet Creek071000040701000001
Skunk Creek-Cedar River070802011001000002
Skunk River070801071006300000
Slough Creek071000040907010002
Snake Creek102400050604000010
Snyder Branch-Chariton River102802010404020000
Snyder Creek-South Skunk River070801051204000221
Soldier Creek-Little Sioux River102300031107100000
Soldier River102300010606030000
South Avery Creek071000090705000100
South Beaver Creek070802050103000010
South Fork Black Hawk Creek070802050401000100
South Squaw Creek071000080801000100
South Turkey Creek071000080603000100
Spanish Bridge Skunk River State Wildlife Area-Skunk River070801070305000010
Spring Branch-Middle Raccoon River071000070204000100
Spring Creek070802051002001100
Spring Creek070802030304000100
Spring Creek070802040303000100
Spring Creek071000040203000003
Spring Creek070802010602000020
Spring Creek-East Nishnabotna River102400030502010102
Spring Creek-South Skunk River070801051203211120
Squaw Creek-Grand River102801010103000100
Stein Creek070802080504000100
Stewart Creek-Cedar River070802011003010133
Sugar Creek070801060203000100
Sugar Creek-South Skunk River070801050908010000
Summer Creek-Cedar Creek070801070708010100
Swan Lake Branch071000061502000020
Threemile Creek102801020205000100
Threemile Creek-Little Sioux River102300031503000100
Timber Creek070802080206010000
Timber Creek-Boyer River102300070605010000
Tipton Creek070802070402000100
Tom Creek101702040701000100
Tug Fork-Big Indian Creek071000091001000100
Turkey Creek-Indian Creek070801050805010000
Turkey Creek-Platte River102400120107010000
Twelvemile Creek070802050807000100
Upper Clear Creek070802090101000010
Upper Duck Creek070801010301000001
Upper Little Maquoketa River070600030603000100
Upper Middle Raccoon River071000070206010020
Upper North Branch Lizard Creek071000040102001001
Upper North English River070802090402000100
Upper South Fork Chariton River102802010102000100
Upper Turkey Creek102400030301000100
Upper Willow Creek102300070401000100
Van Zante Creek-South Skunk River070801051106100000
Village Creek070600010602000100
Village of Alton-Floyd River102300020306010000
Village of Belle Plaine-Iowa River070802080903100000
Village of Conrad-Wolf Creek070802050803010100
Village of Delta-North Skunk River070801060601010000
Village of Doon-Little Rock River101702040606000100
Village of Eldorado-Turkey River070600040703010000
Village of Farlin-Harrdin Creek071000061004010000
Village of Inwood-Big Sioux River101702031904010000
Village of Janesville-Cedar River070802011205300000
Village of Klondike-Big Sioux River101702031902000100
Village of Oran-Little Wapsipinicon River070801020503000100
Village of Reinbeck-Black Hawk Creek070802050505000100
Village of Soldier-Soldier River102300010604000100
Village of Van Horne-Prairie Creek070802051402100030
Wall Lake Inlet071000060401000210
Wallingslock Creek-Des Moines River071000081509000100
Walnut Creek070802080603000100
Walnut Creek071000061602000100
Walnut Creek071000081505000110
Walnut Creek070801030408000002
Walnut Creek070801050901000011
Waterloo Creek070600020502000200
Waterloo Municipal Airport070802050702000200
Watsons Creek-Wapsipinicon River070801020202000100
Weasel Creek-Prairie Creek070802051404000210
West Beaver Creek071000040902000001
West Branch Floyd River102300020408010000
West Branch Little Sioux River102300030104001100
West Branch Mill Creek-Mill Creek102300031201000001
West Branch One Hundred Two River102400130203000100
West Branch Perry Creek-Perry Creek102300010301000120
West Branch Sugar Creek070801041601000110
West Branch Wapsinonoc Creek070802060702000010
West Buttrick Creek071000061203000100
West Fork Cedar River070802040607030000
West Fork Ditch102300040407010000
West Fork One Hundred Two River102400130205000002
West Okoboji Lake102300030202000200
West Otter Creek070802051301000100
West Otter Creek071000050301000100
West Platte River-Platte River102400120102000200
Whisky Creek102300040103000010
White Cloud-West Nishnabotna River102400020801010000
White Fox Creek071000050503000102
Whitney Creek-Little Rock River101702040604000200
Wildcat Creek070802051202000010
Wildcat Creek-Des Moines River071000081507100000
Willey Branch-Middle Raccoon River071000070205010000
Willow Creek102300030902000100
Willow Creek-Mill Creek102300031207000010
Wilson Creek-Black Hawk Creek070802050601010000
Wolf Creek070802050809030110
Worrell Creek-Squaw Creek070801050307020000
Yeader Creek-Des Moines River071000081503100100