Accessibility Version: Tracking the Iowa Nutrient Reduction Strategy v3

Version 3.0 | May 2024

Access the Interactive Data Dashboards

The Iowa Nutrient Reduction Strategy is a science- and technology-based approach to assess and reduce nutrients delivered to Iowa waterways and the 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 3.0, published May 2024, summarizes all data for the 2022 INRS tracking period.

 


Tracking Inputs for the Iowa Nutrient Reduction Strategy

Introduction to INRS Inputs

Tracking efforts of the 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%. 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 NRS facets may be required to support the goals set forth by the NRS. Due to data availability, this report aims to provide an overview of reported statewide funding and staff resources supporting or complementary to the NRS.

Estimates of investment encompass public and non-governmental organizations (NGO) funding summarized through voluntarily submitted reports of WRCC and WPAC member organizations and by other partner organizations. Most public programs described in this report 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 NRS and cannot be reliably quantified through existing reporting mechanisms. The importance of these opportunities is acknowledged, but 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 a Regents institution on land management, edge-of-field practices, nutrient management research, or multi-objective research.

More information regarding projects funded at Regents Institutions through the INRC may be found at https://www.cals.iastate.edu/inrc/.

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

Priority watersheds across Iowa were identified by the Water Resources Coordinating Council in 2013 to conduct outreach and focus targeted conservation and water quality efforts. Nine priority watersheds (hydrologic unit code 8 basins) were identified to focus implementation activities as demonstration projects. Current project information for nonpoint efforts is available at Clean Water Iowa

Iowa Nutrient Reduction Strategy Priority Watersheds and Location 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 the Watershed Planning Advisory Council (WPAC). Organizations report via a common template to standardize responses to the number of full-time employees (or equivalent) by employee function. In addition, funding by program category and shared funding source are submitted. Where data was unavailable, public records were utilized for public investments for appropriations and expenditures.

Information is collated for all partners to summarize funding, staff, outreach efforts, practice implementation, and monitoring efforts, then reported efforts are distilled to minimize duplication. For example, a grant disbursed by one organization and awarded to another may be reported by both organizations, but double-reporting 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, 2022 report available here (available as an xlsx file).

INRS Funding by Partner Organizations from 2012 to 2022

A summary of investment by the four primary investment categories - public sector programs, farmer and landowner investment, non-governmental organizations (NGOs), and land rental as Conservation Reserve Program (CRP) payments - are summarized in the table below. Note that partner funds became available for reporting in the current INRS methodology in 2016 for reporting purposes. NGO investments occurred prior to this time but are not available.

YearPublic Sector ProgramsPrivate Investment: Farmer and Landowner InvestmentNon-Governmental OrganizationsCRP - Rental PaymentsTotal

2012

91,233,895

15,302,863

 

212,942,766

319,479,524

2013

107,516,595

10,708,875

 

216,365,107

334,590,577

2014

98,161,485

16,211,646

 

214,402,613

328,775,744

2015

121,613,279

15,452,535

 

221,360,787

358,426,601

2016

114,147,810

14,152,067

2,759,434

243,650,296

374,709,607

2017

136,948,822

26,541,673

3,146,103

318,308,819

484,945,417

2018

161,959,229

33,524,588

3,659,943

360,771,362

559,915,122

2019

161,622,445

29,220,329

3,279,533

387,472,169

581,594,476

2020

155,799,332

20,812,020

3,557,452

387,472,174

567,640,978

2021

195,022,109

38,115,992

3,018,330

382,490,928

618,647,359

2022

187,320,784

41,691,722

2,342,915

396,275,000

627,630,421

Total Investment 2012-2022

1,531,345,785

261,734,310

21,763,710

3,341,512,021

5,156,355,826

Farmer and landowner investment in the table above includes cover crops, terraces, water and sediment control basins, ponds, grade stabilization structures, and sediment basins that utilized a public sector program.

State and Federal Funding in Support of INRS by Program

Programs funding is reported as state appropriations by fiscal year or federal year obligation for programs pertaining to the INRS in Appendix A (available at the end of this document) or the tracking period data summary available here (csv on an external site). FSA expenditures are reported from the CRP Enrollment and Rental Payments by State, 1986-2022, and NRCS from annual At-A-Glance reports by federal fiscal year. 

Full-Time Employees (FTEs) Reported for the INRS

A summary of FTEs by category, as reported by partners, can be found in the table below. Changes in tracking staff were reported by several organizations since 2019 and are known to impact FTEs reported, both as the total and within reporting categories "on-the-ground implementation staff" and "infrastructure staff."

Full-Time Employee Equivalents from 2016 to 2021 Reported to INRS by Lead Organizations and Supporting Organizations.
YearInfrastructure StaffOn-the-ground implementation StaffOther StaffResearch StaffTotal FTE
2016144.005102.10517.2517.25280.61
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

Changes in Funding

State conservation programs have evolved from 2012 to 2022, with funding for longstanding conservation programs independent of the INRS continuing to receive increased funding. To directly support the INRS, the Water Quality Initiative was first established in 2014. 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. Programs offered for nonpoint sources facilitate the implementation of conservation practices through financial assistance programs or for land set aside through the Conservation Reserve Program (CRP). Expenditures through CRP in Iowa have increased, driven by an average rental rate per acre increase from $132 to $234 from 2012 to 2022. CRP enrollment has additionally prioritized continuous sign-up acres that frequently are sited to buffer runoff from adjacent land in crop production. Programs to implement conservation programs administered by the NRCS are funded through the Farm Bill, for which programs have evolved over the past decade, both in programs and funding for each program. Funds obligated to projects in Iowa through conventional programs have been strong. In addition, Iowa entities have 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 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 878 events reported for the 2022 reporting period that reached an estimated 49,220 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 two 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.

Changes in event delivery continued to foster smaller group programs with greater engagement, primarily as youth education events coordinated by the Water Rocks! program in 2022. Similarly, many conferences and seminars continued the transition from virtual or hybrid formats, making participation possible for a wider audience.

These events, which provide information to make informed decisions about conservation practices and educate attendees about water quality issues, were self-reported by WRCC and WPAC member 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 a discussion on water quality but was not the primary reason for the contact. 

*Supplemental contacts are not included in the statewide total because water quality was not the primary reason for the contact. In addition, attendance at these programs is reported as a statewide total as the mode by which attendees engaged in a training does not facilitate county-level reporting.

Summary of Outreach Program by the six categories specified above from 2016 to 2021.
YearCommunity OutreachConferenceField DaySupplementalWorkshopYouthTotal
AttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. Events
20169,724631,757109,523114  7,4732726,1526834,629527
201721,3311604,763189,849145  7,62525918,55112562,119707
20189,3231583,507184,861138  6,74821628,71019553,149725
201913,2961562,155167,79815814,3505786,30721628,20519557,761741
20207,3801331,383166,73314215,2851,1266,67421827,03620849,206717
20216,028672,133101,858475,8833186,63922521,41032938,068678
20229,0631842,429137,19212812,8461,4277,72531122,81124249,220878

A summary of programs by county can be in Appendix B (available at the end of this document) or the tracking period data summary available here (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. Watersheds for each survey appear in the panel to the right.

Reports may be found in the INRS webpage supplemental documents (https://www.nutrientstrategy.iastate.edu/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' answers in the first year in 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 Raccoon7100006
Boone7100005
Iowa0708022015 and 2019Middle Cedar7080205
Upper Mississippi-Maquoketa-Plum0704002016 and 2017Turkey7060004
Upper Mississippi-Skunk-Wapsipinicon0708012019South Skunk7080105
Lower Skunk7080107
Missouri-Little Sioux1023002015 and 2016Floyd10230002
Missouri-Nishnabotna1024002018 and 2019West Nishnabotna10240002
East 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 table below by topic area from the survey and by the basin in which the farmer operates.

Summary of Farmer Responses to Questions Relating to Nutrient Management, Awareness and Support for the INRS, Knowledge Barriers Related to the IRNS, and Economic Barriers Potentially Impacting Practice Adoption 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').
Watershed by which Farmers were SurveyedDes MoinesMissouri-Little SiouxMissouri-NishnabotnaUpper Mississippi-Maquoketa-PlumUpper Mississippi-Skunk-Wapsipinicon
Self-assessment of nutrient management
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
Awareness, concern, and support for action
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
Knowledge-related barriers
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
Economic barriers
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 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, pInfluenceublications, 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 USDA Census of Agriculture, nearly 90% of Iowa’s total area is dedicated for agricultural purposes, with total agricultural land averaging 31.4 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 27 million acres. Acres enrolled in the United States Department of Agriculture Conservation Reserve Program, 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.
 1978198219871992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Corn13,376,06613,416,695 10,352,369 12,773,58511,000,00012,600,00011,600,00012,400,00011,930,54212,200,00011,800,00012,000,00011,400,00011,761,39211,900,00012,400,00012,500,00012,350,00013,842,28212,800,00013,300,00013,050,00013,733,50413,949,34013,301,68413,395,65413,218,93913,585,13813,024,47412,891,94413,230,24913,437,74512,714,49912,760,379
Hay2,317,391 2,035,0331,968,2071,762,425    1,575,777    1,533,027    1,125,565    996,3161,220,0001,220,0001,240,0001,010,0001,069,770995,0001,115,0001,225,0001,350,0001,285,000
Oats871,460811,716544,907367,517225,000430,000225,000 190,000214,485185,000175,000180,000130,000143,513130,000140,000125,000110,00066,65175,00095,00075,000113,308125,084142,288134,567121,230111,05197,071124,584150,014145,488108,30182,096
Pasture5,764,822       4,256,172    3,639,397    3,144,321    2,478,116    2,360,349    2,245,926
Soybeans7,475,9898,044,3057,903,3958,243,0678,300,0008,770,0009,260,0009,450,00010,258,68110,350,00010,750,00010,680,00010,920,00010,418,62110,550,00010,150,00010,000,00010,100,0008,612,8109,670,0009,530,0009,730,0009,220,5499,202,4219,176,2969,716,2009,720,8649,390,6459,841,3569,877,6829,064,2739,284,55510,016,58410,020,539
Wheat31,86398,68831,047 25,00045,000  35,00040,00022,75832,00031,00018,00018,00018,31721,00024,00015,00018,00029,51230,00022,00010,00018,87014,23226,20217,21317,37921,16014,35614,09912,22211,58617,25518,740

Records from the United States Department of Agriculture (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 (NASS) 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 (FSA) crop acreage reports and reflect the annual crop acreage values provided in NASS (in lieu of combined records from archival, NASS, and FSA databases).

Iowa Acres in the Conservation Reserve Program (CRP) Since 1986.
Year198719881989199019911992199319941995199619971998199920002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Acres1,239,1291,472,7861,760,0591,951,0611,987,8472,087,1722,203,7942,203,7942,199,3602,176,2321,757,6811,503,6041,484,1181,599,4641,802,9311,865,7301,882,6501,894,5011,917,4801,958,8831,970,4861,809,6331,703,9411,637,1301,662,3731,644,4291,525,0121,457,5181,484,3761,688,9751,786,5301,800,0611,745,8601,705,1881,662,5211,693,946

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 2017 USDA Census of Agriculture, the eastern and southern regions of Iowa continue to show the highest rates of cover crop use with pockets of greater adoption regionally.

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 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
Data Source2010201120122013201420152016201720182019202020212022
United States Department of Agriculture - Census of Agriculture  379,614    973,112    1,282,608
Survey of Agricultural Retailers       1,597,6142,015,6882,179,3043,107,0632,768,7543,769,373
Portion Funded by Public Conservation Programs18,70230,98769,955211,235161,000275,854324,097549,638600,972558,278818,6061,010,8221,121,696

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 type of cover crop species planted, as reported by the INREC Ag Retailer Survey, from 2017-2022 are summarized below. The benefits of cover crop species N and P benefits vary slightly by species and reflect the benefits from winter-hardy and winter-kill cover crop species.

Cover Crop Species or Types, as a Percentage of Total Cover Crop Acres, from 2017 to 2021
YearRye Cover CropOat Cover CropMix of Cover Crop SpeciesOther Cover Crop
201769.4%9.1% 21.5%
201882.8%9.8% 7.4%
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%

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 United States Department of Agriculture (USDA) Census of Agriculture provides county-level cover crop acres for fall 2012, 2017, and 2022, allowing for aggregated statewide totals for those 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 USDA Census of Agriculture estimated 6.9 million acres of no-till. Since 2012, no-till acres have increased to approximately 9.5 million acres, according to both the Census and the Survey of Agricultural Retailers. 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 increased to approximately 6.5-9.3 million acres annually, according to both the Census of Agriculture and the Survey of Agricultural Retailers. The use of conservation tillage is distributed across the state, with higher rates of use in the western, north central, and northeastern regions of Iowa.

The increased use of no-till and conservation tillage in row crop operations since the 1980s is paired with a marked decrease in the use of conventional tillage. Conventional tillage was used on an estimated 12 million acres during the baseline period and has decreased to approximately 4.9-6.0 million acres annually in 2022 according to both the Census of Agriculture and the Survey of Agricultural Retailers

Iowa Tillage Practices, by Data Source
Data Source and Practice Name1980-1996 Average Annual2006-2010 Average Annual2012201720182019202020212022
Iowa Nutrient Reduction Strategy - Derived from data from the Conservation Technology Information Center         
No-Till1,968,8816,154,727       
Conservation Tillage5,190,1706,064,720       
Conventional Tillage12,042,5858,288,043       
Census of Agriculture         
No-Till  6,950,8368,196,199    8,452,461
Conservation Tillage  8,760,34810,132,599    9,289,863
Conventional Tillage  7,882,5565,018,129    4,941,144
Survey of Agricultural Retailers         
No-Till   7,707,6956,972,4348,153,5028,589,2429,461,12110,165,201
Conservation Tillage   11,611,28810,247,2299,475,3814,935,4935,253,8146,551,661
Conventional Tillage   3,676,1465,733,4075,294,8069,822,9988,259,5456,016,376

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 United States Department of Agriculture Census of Agriculture, which provides county-level data for no-till, conservation tillage, and conventional tillage.

Annual statewide acreages of tillage practices in corn and soybean fields are estimated by the Survey of Agricultural Retailers, conducted by the Iowa Nutrient Research and Education Council, for the 2017 to 2022 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 Retailer Survey 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 2017-22 period. On average, continuous corn rotations received between 193 and 208 pounds per acre during that time.

Percent Distribution of Commercial Nitrogen Rates from 2017-2021 by Crop Year and Rotation.
Category (Pounds of Nitrogen Per Acre)201720182019202020212022
Continuous Corn      
<1000.0%0.0%1.3%0.0%0.0%0.0%
100-1250.0%0.3%0.0%0.0%0.0%0.0%
126-1501.5%2.3%3.6%0.0%5.7%4.1%
151-1758.9%8.6%5.7%4.5%7.8%17.8%
176-20054.2%38.7%48.5%32.5%47.1%50.1%
201-22518.7%33.2%29.2%31.6%33.8%19.2%
226-25015.3%11.2%11.0%27.6%5.6%7.5%
>2501.4%5.6%0.8%3.8%0.0%1.3%
Corn/Soybean      
<1000.1%0.2%0.5%0.1%0.2%0.6%
100-1251.9%1.5%0.4%0.8%2.3%2.6%
126-15022.3%19.0%10.8%8.6%20.7%15.0%
151-17536.8%29.2%32.9%26.8%32.3%35.6%
176-20031.8%37.1%39.7%37.7%33.1%36.7%
201-2255.2%10.1%11.9%17.2%9.5%7.8%
226-2500.8%2.8%3.5%5.5%1.5%1.7%
>2501.2%0.1%0.3%3.2%0.4%0.0%

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 2022, for example, 37 percent of corn-soybean acres received 176-200 pounds of commercial nitrogen on their most recent corn year, and 36 percent received 151-175 pounds. Some fields lay at the ends of this distribution, with 18 percent of acres receiving 150 pounds of nitrogen per acre or less and 11 percent receiving 201 pounds per acre or more. There was a similar distribution for continuous corn rotations, with 52 percent of acres receiving 176-200 pounds of commercial nitrogen fertilizer.

These estimates of annual nitrogen applications from 2017-22 represent an increase in fertilizer use since the 1980-96 baseline period. While the 2017-22 estimates of commercial fertilizer rates were obtained via a different data collection process than for the baseline and benchmark time periods, there is complementary evidence from recent fertilizer sales data 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, that is the 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.

Research into nitrogen application rates lies at the forefront of the Iowa Nitrogen Initiative, a research program piloted in 2022 that utilizes soil, weather, and management systems. With the goal of developing a probability-based decision system that incorporates regional weather parameters, expanding from the crop rotation to the individual region will help address productivity, profitability, and environmental performance, the initiative will encourage fertilizer application decisions to be made based on financial and local environmental conditions. The initiative will offer a decision-making tool based on local conditions and facilitate the evaluation of needs relative to the Maximum Return to Nitrogen (MRTN).

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 14.4 million acres received phosphorus fertilizer was incorporated, injected, or knifed into the soil within 24 hours of application for the 2017 crop year and decreased to 10.6 million acres for the 2022 crop year. These estimates account mostly for commercial fertilizer. Approximately 80% of fields receive soil test phosphorus, more than 18,000,000 acres, that guide phosphorus application.

Phosphorus Fertilizer Application Methods, as Annual Row Crop Acres.
Phosphorus Management Type201720182019202020212022
Commercial P Incorporated with Planter2,523,799862,841270,492639,271144,756159,133
Commercial P Incorporated in Knifed Bands656,919627,900619,632692,078625,440250,066
Commercial P Broadcast & Incorporated within 1 week10,807,03016,143,90515,847,4469,440,9349,916,9648,615,897
Liquid P (commercial/manure) Injected416,049865,3642,048,8501,825,2321,155,7541,545,860
Other P Application Type8,591,3314,468,9314,137,26910,750,21811,130,16112,162,282

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 2022.

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 NRS Nonpoint Source Science Assessment, which can be accessed at nutrientstrategy.iastate.edu/documents.

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 NRS Nonpoint Source Science Assessment, which can be accessed at nutrientstrategy.iastate.edu/documents.

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 application timing also affects nitrogen loss. Shifting nitrogen application from fall to spring reduces nitrogen loads by 6%, and shifting from spring pre-plant to in-season application (i.e., side-dress) reduces nitrogen loads by 4-7%. The Survey of Agricultural Retailers provides recent estimates of when nitrogen is most commonly applied. In 2022, a spring, split, or summer application on 6.3 million corn acres.

Fall-applied anhydrous with nitrapyrin has been shown to reduce nitrogen loads by approximately 9% when compared with applications without an inhibitor. Based on the NRS Nonpoint Source 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.
Timing Category201720182019202020212022
Fall anhydrous plus
Nitrification Inhibitor
3,731,5242,318,3992,722,2013,337,4354,759,9354,128,833
Fall Anhydrous without
Nitrification Inhibitor
1,405,251817,409487,618643,485772,3002,252,671
In-Season Only281,723137,166148,057529,107219,339125,332
Spring Pre-Plant6,487,3297,652,7386,950,0246,443,4435,165,3864,294,012
Spring Side-Dress Split, 40-601,307,0862,004,2632,300,0091,907,5361,691,8661,836,196

Data - Nitrogen Application Timing

The data showing the timing of commercial nitrogen applications were obtained from the Iowa Nutrient Research and Education Council's 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

Bioreactors and saturated buffers are edge-of-field practices that are made by routing agricultural drainage water through a woodchip trench or vegetated buffer to remove nitrate before the water enters an adjacent stream, ditch, or tile main. At 24% and 45% reduction (INRS N practice efficiencies updated March 2024), respectively, these practices are highly effective at reducing annual nitrate loads to streams. 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 habitat and water quality benefits and has been termed a "multi-purpose" oxbow. At 63% reduction, these practices provide wildlife habitat and reduce nitrate delivery to streams.

Annual Acres Treated by New Bioreactors, Saturated Buffers, and Multi-Purpose Oxbows in Iowa
Row Labels20062007200820092010201120122013201420152016201720182019202020212022
Bioreactor - Acres Treated by New Practices Annually505050150504003002002501003506005506003009001,150
Saturated Buffer - Acres Treated by New Practices Annually000050001505020045040080040020014501900
Multi-Purpose Oxbows - Acres Treated by New Practices Annually00000015000005010010000100
Cumulative Acres Treated By Bioreactors, Saturated Buffers, and Multi-Purpose Oxbows in Iowa50505015010040045035030030080010501,4501,1005002,3503,150

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 so an estimated 50 acres protected by each practice was used. A Conservation Innovation Grant is currently evaluating information to better estimate acres protected.

Acres Protected by Nitrate Removal Wetlands Installed Each Year in Iowa

Nitrate removal wetlands that are designed for water quality improvement have an effectiveness of 30% nitrogen load reduction. In designing these types of wetlands, agricultural tile drainage is routed through the wetland for nitrate removal. Currently, nitrate removal 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 protected pound of nitrogen making the practice very efficient. Most of Iowa’s wetlands have been constructed under the Conservation Reserve Enhancement Program (CREP), but novel wetland siting standards have been implemented over the past decade to expand wetlands from the traditional CREP break-point wetland design. Novel wetland positions on the landscape include lateral and in-stream 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 to nitrate removal wetland design standards, but data currently are not available to assess the full extent of this non-CREP implementation.

Currently, Iowa has more than 130 nitrate removal 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 more than 147,000 acres. Iowa experienced its highest rate of installations in 2020, with 14 new wetlands capturing nearly 18,800 acres. Program implementation continues, with wetland design types developed in recent years expanding the position on the landscape where nutrient removal wetlands can be sited. Nitrate Removal wetlands constructed since 2011 (i.e. since the 2006-10 benchmark period of the Iowa Nutrient Reduction Strategy) protect more than 88,000 acres of agricultural land.

Annual Acres Treated by New Nitrate Removal Wetlands Installed in Iowa
 20032004200520062007200820092010201120122013201420152016201720182019202020212022
New Acres Treated Annually2,4882,9493,48514,2717,9856,95412,3708,0746,96513,5197,3144,2943,2704,6037,8175,5971,83118,7719,7405,287
Cumulative Acres Treated2,4885,4378,92223,19331,17838,13150,50258,57665,54079,05986,37390,66793,93798,540106,357111,954113,785132,556142,296147,583

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 nitrate removal 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.

Cumulative Acres Protected by Structural Erosion Control Practices Installed in Iowa Since 2011

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 that reduce soil-bound phosphorus loss. These practices include terraces, water and sediment control basins (WASCOBs), farm ponds, and grade stabilization structures; their effectiveness at reducing phosphorus loads 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 311,000 acres are protected by terraces, WASCOBs, ponds, and grade stabilization that have been installed under government cost-share programs since 2011. Owing to the topography and soils of the southern and northeastern regions of Iowa, erosion control practices are concentrated primarily in those geographic areas.

The Iowa BMP Mapping Project is an ongoing effort that will estimate the extent of all erosion control installations—not just those funded by state or federal cost-share programs. The project’s data collection is complete for three time periods: the 1980s, 2007-10, and 2016-17. Efforts to utilize this invaluable data source include both the acres protected by practices, within each watershed and statewide, as well as the nutrient reduction benefits of practices. These active areas of research will be summarized as data becomes available.

Annual Acres Treated by New Structural Erosion Control Practices Installed in Iowa Since 2011
 201120122013201420152016201720182019202020212022
Terraces and Water & Sediment Control Basins - Acres Treated by New Practices Annually30,2778,78921,91727,94726,00824,13218,55817,01721,31223,15012,04014,396
Grade Stabilization and Ponds - Acres Treated by New Practices Annually9,0434,6715,0496,4703,9936,8784,2622,3153,7926,2785,7116,859
Cumulative Acres Treated by Terraces, Water & Sediment Control Basins, Grade Stabilization, and Ponds39,32052,78079,746114,163144,163175,174197,994216,189242,430271,858289,609310,864

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 cover crop acres. This report accounts for practices installed between 2011 and 2022. 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, water and sediment control 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 the federal 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.

Structural best management practice adoption prior to the INRS annual report tracking, which began in 2011, was summarized by the Iowa BMP Mapping Project. Practices visible in aerial imagery and high-resolution topography data (statewide LiDAR data) were reviewed and practices mapped. This integrates practices constructed over several decades to track best management practice adoption. Practices depicted by the Iowa BMP Mapping Project include both practices implemented with and without cost-share assistance; note that INRS reporting efforts only include practices that receive state or federal cost-share as self-funded practices are not reported annually the evaluation of all practice benefits will be explored in the future.

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 January 1, 2023, municipal and industrial permits that have been amended with construction schedules to meet INRS goals are summarized in the table below.

Facilities with an Amended Permit as of January 1, 2023, with the Nutrient Loads Designed to Achieve INRS Point Source Goals.
Activity for PermitsMunicipal FacilitiesIndustrial Facilities
Count of Facilities4714
Earliest Completion DateAugust 1, 2018January 1, 2018
Latest Completion DateOctober 1, 2027December 1, 2025
Average Length of Construction Schedule4.3 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, 148 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

For INRS priority watersheds, three 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 2022 are summarized in the table below.

Point Source Facility Permits with Nitrogen and/or Phosphorus Limits as of the End of 2021
YearINRS Permits with Nitrogen and Phosphorus LimitsINRS Permits with Nitrogen Limits OnlyINRS Permits with Phosphorus Limits OnlyTotal permits with nutrient monitoring
201849478388
2019615812394
2020696514401
2021757116400
2022817723403

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

The number of facilities each year with raw (influent) or final (effluent) wastewater monitoring for Total Nitrogen (TN) or Total Phosphorus (TP).
YearNitrogen - Facilities Meeting Percent Reduction TargetsPhosphorus - Facilities Meeting Percent Reduction Targets
201392
201492
2015146
2016199
20172411
20182913
20193218
20204221
20214723
20225827

Reported N and P loads since the INRS was adopted in 2013 for major public and industrial facilities are summarized in the table below. The points 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

 


Water

An Overview of the Water Measurement Indicator

Monitored water quality reflects the dynamic interaction of current and historical land management practices, structural conservation practice adoption, and point source loading with the weather. 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 modeled changes in nonpoint source nutrient export (point source tracking reported in the Land dashboard) based on agricultural management and BMPs adopted or installed and monitored nutrient loads from rivers.

This dashboard summarizes each tracked component of the Water indicator:

  • Modeled impacts of BMP adoption and construction, agronomic practices, and land use for which INRS progress is evaluated; and
  • Statewide, annual N and P export from Iowa based on measured loads from rivers.

The scales, spatially and temporally, at which water quality benefits might be anticipated to be detectable from monitoring data are reviewed in the next tab. This topic was explored for nitrogen loads for Iowa in a 2020 report titled How Long Will it Take to Measure an Improvement in Iowa's Water Quality? prepared for the Iowa DNR.

Changes from 1980-1996, the "baseline," to the initial INRS assessment from 2006-2010, the "benchmark," are summarized in the table below for nonpoint (NPS) and point (PS) loads. A summary of the nonpoint and point source changes between the two periods can be found here. 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
PS13,17014,0546.7% IncreaseFlow increase
Total292,022307,4495.3% Increase 
PhosphorusNPS21,43616,80021.6% DecreaseReduced tillage and soil test P
PS2,3862,6239.9% IncreaseFlow increase
Total23,82219,42318.5% Decrease 

*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

The scale at which changes in N and P loads can be measured is a continued area of focus for the INRS. With a goal of 45% N and P load reduction, the spatial and temporal scales within a watershed at which management and conservation practices – representing the land use, wastewater management improvements, and agronomic and conservation practice adoption – are reflected in nutrient loads. Ongoing research continues to examine the watershed and temporal scale at which load reductions can be quantified. Assessing the nutrient load over time is challenging due to “legacy nutrients” that vary in movement through soil and shallow groundwater before reaching streams and rivers. Measuring nutrient load changes at the landscape scale is equally challenging as flow, the amount of runoff that leaves fields, is the strongest predictor of nutrient loss and varies annually. Currently understood scales for 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
Tracking water quality for the NRS for statewide reporting in 2021 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). The USGS monitors a large number of sites for flow, providing a long-term historical record, that allows for nutrient loads to be estimated since 2000 at least based on monitoring efforts by state agencies. The Ambient Water Quality Monitoring Network was comprised of 62 monitoring sites to measure N and P in 2021. Of these 62 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

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 smaller rivers, streams, and lakes as well as research programs conducted by Regents Institutions, Iowa Soybean Association, and the Agriculture’s Clean Water Alliance. Efforts include the general monitoring of surface waters, small watersheds to monitor the impact of a BMP at the field or small catchment scale, or tile monitoring. 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. The siting of these monitoring sites is able to cover the majority of the surface area of the 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 rivers and contributing area, the upstream area draining to the monitoring point, are summarized by watershed size at the HUC-12 watershed scale in Appendix D. Note that only monitoring sites reported by INRS reporting partners are summarized.

Iowa Precipitation Summary

The INRS reports on nutrient loading and water yields at the state scale. However, the amount of water each region receives drives the amount of flow, varying regionally and temporally each year. In 2022, the average precipitation for Iowa was 27.25 inches, 8.30 inches less than the long-term average. The water yield during the INRS baseline was approximately one-third of precipitation, comparable to 2022.

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 at the Iowa Agriculture and Land Stewardship.

The 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
Year20002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Flow (in/yr)4.2110.174.755.038.776.225.614.3518.3812.7120.811.093.5110.2510.8712.9515.7610.4517.8418.73105.455.48
Five-Year Average Flow (in/yr)    6.596.996.077.9910.6611.4514.3715.4713.311.6711.39.7310.6712.0613.5715.1514.5612.511.51

Measured Changes in N Export Based on River Monitoring

The nitrogen load from Iowa for 2022 was lower than the 22-year average during this time period, with the statewide load being less than one standard deviation of the average during this time period. In contrast, the flow-weighted nitrate load (FWNL) was the median load observed during this time period.

The statewide water yield in 2022 was nearly half of the average runoff during which N loads are available. Periods of low statewide flow correspond with low statewide N load, as nitrogen is not lost through runoff from fields. However, N loss per water yield, measured as the FWNL, after a drought year are normally larger as nitrogen fertilizer applied to crops but not utilized can rapidly leach from soils. This effect can be exaggerated if excess water yield occurs in the spring before a crop can use the nitrogen from soils.

Cyclical responses in statewide N load are anticipated and will reflect agronomic practices and BMPs adopted regarding N management.

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.

 
 20002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Annual Nitrate-N Load101,297300,428115,070144,048264,356186,995174,989450,132434,611281,028455,312297,24566,188342,921267,052417,793531,776318,111426,416396,289241,25481,619141,383
5-year Moving Average Nitrate-N Load    185,040202,180177,092244,105302,217305,551359,215383,666306,877288,539285,744278,240325,146375,531392,230418,077382,769292,738257,392
Annual Nitrate-N Flow-Weighted Load24,02329,53924,20628,63130,11330,03431,24831,35823,64222,10121,88926,78218,85233,44924,56532,23933,74130,41623,89521,15224,10214,95925,784
5-year Moving Average Nitrate-N Flow-Weighted Load    27,30228,50528,84630,27729,27927,67726,04825,15422,65324,61525,10727,17728,56930,88228,97128,28926,66122,90521,978

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.

Water Quality - Nitrogen Monitoring

Quantifying nutrient loading from Iowa is reported as the monitored load in rivers (modeled for each river based on collected monitoring data) and the 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 nutrient 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 loads - nutrient loads as concentration, the amount of a nutrient lost per unit time as a load, or normalize nutrient loss to the amount of flow within the river.

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 is not only simple, but 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 with flow from rivers monitored by the USGS (see more about gaging locations in the previous panel). The amount of flow at each monitoring site is normalized each year. Flow is measured as the average depth of water that runs off the watershed and is calculated by deducting from precipitation that falls in the watershed from soil saturation and temperature. Statewide flow is then based on the weighted average flow of each watershed as a proportion of the area of the watershed.

Measured Changes in P Export Based on River Monitoring

Phosphorus loads are strongly correlated with the amount of flow, with large flood events regularly accounting for more than half of an annual load. With lower flow since 2022, the P load and flow-weighted P load (FWPL) have been lower than the NRS goal. Similar to N, the annual P load is “noisy,” and a 5-year moving average is used to assess patterns over time. Since 2010, the 5-year moving average P load has been greater than the INRS load goal for P, driven by years of average or above-average flow.

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.

Phosphorus Load From River Monitoring Sites using the LOADEST-K Model Using Flow, Season, Measured P, and Turbidity Data from Monitoring Stations to Calibrate the Model and the P Load Normalized to the Amount of Flow During Each Year (Loads may be updated in the future as improved calibration models are improved for rivers).

 
 20002001200220032004200520062007200820092010201120122013201420152016201720182019202020212022
Annual Phosphorus Load6,78626,4998,3198,10218,1039,8746,91829,14238,64721,66938,83517,1446,06820,75428,19224,55424,36116,57232,05247,55113,6438,1736,528
5-year Moving Average Phosphorus Load    13,56214,17910,26314,42820,53721,25027,04229,08724,47220,89422,19919,34220,78622,88725,14629,01826,83623,59821,589
Annual Phosphorus Flow-Weighted Load1,6122,6061,7511,6112,0641,5881,2352,0312,1031,7051,8671,5461,7292,0252,5941,8961,5461,5861,7972,5391,3641,5001,191
5-year Moving Average Phosphorus Flow-Weighted Load    1,9291,9241,6501,7061,8041,7321,7881,8501,7901,7741,9521,9581,9581,9291,8841,8731,7661,7571,678

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 meet soil conservation compliance established in the 1986 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 is described in that section as well as the Water Monitoring Infrastructure tab (bottom-left panel ). The mode by which the P load is calculated differs. In contrast with N, linear interpolation methods are not appropriate for estimating phosphorus (P). Phosphorus concentrations are dynamic and positively skewed, with some measurements far greater than the median concentration observed in a river under baseflow conditions. This means that phosphorus loads in rivers are strongly influenced by storms and high flow events, although infrequent, can strongly impact the P load. Linear interpolation as is used for N results in significant errors when modeling P, so more sophisticated modeling techniques are needed to quantify it.

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. 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 but 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

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, INREC Survey, and the USDA Census of Agriculture. For more information on the approximation of BMP use in Iowa see the Land indicator dashboards or the Data tab below.

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 Oxbow46.90
N Timing: Changes to Spring Pre-Plant, Sidedress, or In-Season4,2561.5
N Timing: Nitrification Inhibitor7,375.902.5
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 conservation practice use in Iowa see the Land indicator dashboards. 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

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, INREC Survey, and the USDA Census of Agriculture. For more information on the approximation of BMP use in Iowa, see the Land indicator sections.

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

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 INREC Survey, and the USDA Census of Agriculture. For more information on the approximation of BMP use in Iowa, see the Land indicator dashboards below.

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. (May 2024). Tracking the Iowa Nutrient Reduction Strategy. Version 3.0.


Appendix A

Summary of INRS-Related Investment for State and Federal Conservation Programs from 2012-2021.
Program20122013201420152016201720182019202020212022Program Total
Ag Drainage Well Closure (ADW) - IDALS $3,170,000  $1,920,000$1,920,000$1,875,000$1,875,000$1,875,000$1,875,000 $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 $157,476,300 
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 $11,000,000 
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 $3,341,512,021 
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 $10,500,000 
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 $137,000,000 
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 $108,302,298 
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 $36,605,883 
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 $25,797,511 
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 $11,141,528 
CWSRF - Sponsored Projects - DNR   $3,736,000$5,748,000$5,424,823$2,618,283$1,627,000$8,109,000$7,438,958$8,543,803 $43,245,867 
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 $32,505,000 
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 $305,000,000 
Farm Management Demonstration Program - IDALS$625,000$625,000$625,000$625,000$625,000$625,000$375,000$287,500$100,000  $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 $7,915,797 
In-Field Agricultural Practices Pilot Project - ISU    $1,230,000      $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 $3,968,750 
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 $75,406,250 
Iowa Geological Survey - Water Resource Management - IGS       $495,000$495,000$495,000$495,000 $1,980,000 
Iowa Nutrient Research Center - ISU  $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 $16,323,471 
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 $95,509,000 
Leopold Center - ISU$1,643,615$1,838,630$1,791,916$1,876,738$1,918,525$2,032,465     $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 $1,059,375 
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 $4,978,125 
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 $32,565,767 
Regional Conservation Partnership Program (RCPP) - NRCS $406,785  $1,597,000$4,340,000$5,021,100$4,552,300$2,829,981  $18,747,166 
Regional Conservation Partnership Program (RCPP-EQIP) - NRCS   $261,000     $2,212,878$1,367,900 $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 $29,200,000 
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 $39,820,300 
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 $34,150,000 
Wastewater and Drinking Water Treatment Financial Assistance Program - IFA       $782,000$1,600,000$4,928,000$5,052,000 $12,362,000 
Water Quality Agriculture Infrastructure Program - IDALS       $1,955,000$4,000,000$15,000,000$15,000,000 $35,955,000 
Water Quality Financing Program - IFA       $879,750$1,800,000$6,750,000$6,750,000 $16,179,750 
Water Quality Initiative Fund - IDALS  $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 $91,400,000 
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 $2,210,000 
Water Quality Urban Infrastructure Program - IDALS       $293,250$600,000$1,848,000$1,894,500 $4,635,750 
Watershed Improvement Fund - IDALS$2,000,000$4,000,000         $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 $9,900,000 
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 $9,040,303,162 

 

Appendix B

Reported Events by County by Program Type from 2016 to 2021.
County2016201720182019202020212022
Community OutreachConferenceField DayWorkshopYouth and School VisitsTotalCommunity OutreachConferenceField DayWorkshopYouth and School VisitsTotalCommunity OutreachConferenceField DayWorkshopYouth and School VisitsTotalCommunity OutreachConferenceField DayWorkshopYouth and School VisitsTotalCommunity OutreachConferenceField DayWorkshopYouth and School VisitsTotalCommunity OutreachConferenceField DayWorkshopYouth and School VisitsTotalCommunity OutreachConferenceField DayWorkshopYouth and School VisitsTotal
AttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. EventsAttendanceNo. Events
Adair00000000701701510000000051411000000004111011000000001011000000201144216430000000010521052322002610000583
Adams000000008018010000301000030133100802000011330000301000030110610075100001812000000000000000000000000
Allamakee0000883000088300005010174112430000301000030130100000019822283000000002331233100000000561561000020100671872
Appanoose00000018100181000091100821173271200000065113630000711201126221749610011210000208200000000881881000000000000
Audubon15010055237352129470000451000045100003010015021803151002010017312083000000000000000000001211210000000012311231
Benton924006821194731352115010090250121334037490600002014572967970400151722467462411000000001271127120140001002314432920020000003622364
Black Hawk5440025751172208163612274320013626140654251,518214024001708126741451,112247510006346136277651,62123200200321004037635107050041400461757216301001452343316436829
Boone1,0001004010514721,187917010080229164234361001008734016815908104,3184003767108315234,95417146300651592271554111401003010010131715852000048127524085
Bremer000014530047119242810020100254330253930017510022834427181004526100694177200551182549579910161000000572733451009020020833436
Buchanan503004210000924863001910000105444400000064416885327200121001321471454100000018132354000000002954295469200000014822174
Buena Vista74200110218055814221013920019847020040780000452151006032010010623031731329701001963001841380540100000010811482702001213765285355213
Butler00003010000301117100401131201237150000592001202179400000000186118610000000065165100000000161161671000000181852
Calhoun000000301140117027110039100261136300003510026161281100852152001815462000011004730000000011321132000052221412531989
Carroll0000234553500287109032511454751150148510683002205301140245811721005524538322558511000028285116440000004117021743152200002130234566
Cass0000882251001133000085100008510000251008521103852001402502511326700001131811071228300000000104210421261100113730020625697
Cedar0000000014221422000000007217215020000301140222051624421000087129161251001583000028340000000000001151003010026064058
Cerro Gordo000092200581150300009910010112002143100023013452518600001672001,28851,45571681009010000258200000000641664162672002930016434608
Cherokee00000037100371000039100003912710000001592186300000000000000000000139213920000000020532053110032112100453
Chickasaw000014520014112863000012936010018940000122210940023160000832882183335472310083500781184700008020020542856000000000000
Clarke0000000045145100000000000000000030137214022000000004514519210040100001322000000004634630000000010621062
Clay601000000006010000000065165100000000755275520000002001751275200000081008100000000000000000000411411
Clayton10010045220200165514930000000014936020015030000210590200371472210338480000003910039102000000823825000000000000
Clinton00000000000055100301000085210010000301531183300002510033158242100000090213230000002010020100004410038244265
Crawford000020100155117520000139200722211424100000013021543631009820020323645000000001,70571,70570000000022232223000058111112221914
Dallas01001003371103124061001004011525112065523004522517723894900003323524793547753120000002183749512040000006291274916208200000011723254
Davis000000000000000000341003410000000000000000000091619161361000000003610000000088188111003650000376
Decatur00000000000000000000000049100000015011992611006620000127300000000146214620000000094294200000000161161
Delaware000000112513012426000000101001011871000000001871951000000581153200000000162216220000010024532454000030100651952
Des Moines00007512019921944150100862002592495500000300469246956610012160038122580000000000000000010011321133000012115150346296
Dickinson000000000000367200309300310398683001401121400128158971531002233002253601700001021002622364300000000195319533320080100001133
Dubuque0000000012811281102135023010026437467751000025114322434189115519030023136658000014720026934165000000001,430121,4301212160026521,06542,72464,46615
Emmet0000000000000000000010711071451000000312763000000008418410000000000000000000071171181000022100302
Fayette0000612003374398600005014423302424500002502001,07231,322520925010000371263050000601004001460210100000024462547741006010022933635
Floyd307200000000307214110000004782619375400732000014860000231009411172000024140056112020000013012223252500000040148365237
Franklin00000000000000000000386238625810000004811062161000000218123420000000093293200000000471471000000000000
Fremont0000000000002010055100007527410000000074124100000000241000000008718710000000000000000000012921292
Greene000090300009033210011013415512314000030100003015120012513110020740000000013321332172000000921109312320000009212153
Grundy000000135100135126230073300180251581284004210089531,065818060061200150239110000021120233224545101000027210421415000000000000
Guthrie0000551000055100003510054189200000000000010100000018321933000000000000000000008018010000000010241024
Hamilton00001421221814450000000091291200007120019612673285100601421122250954110000371221100300000010011132213300008214111532015
Hancock0000601000060115320050100831286445200000030223474270200133200004034000090101009020000010016321633000000000000
Hardin0000451000045118510002703351135262516322003034352592429109720031838120049679110003356141512295219000001003142314360100741912321665
Harrison00004020000402000075100125220030000301002661296200000000611611000000005015010000000098398300000012120942215
Henry00001002000010021532003623001711686626100002123332615442500104200912637918130000004912304000000005225522500000014117021843
Howard2010021003622384400001210000121000003003052305500003011515019531223002115315115486100251305343677721222720000006022874
Humboldt0000106237100143313100932000010635130040100580167150000401223229229160000351511513191500000100151152511601000029934105
Ida000034100421762000000007017016010000575711188700000000000085100821002513418500000000000000000071251322
Iowa501000000005012893001213413113646836920040800431452116710004000067531820000001592477400000000124212422200110100001123
Jackson0000000000000000000042142100001652301182137740000000059325932000000101471572000000001494149400002010028343035
Jasper000013441253116137580000902001912281411610010120015423715194200452005502789612620060138199161,215100000000012021202201751131401001484
Jefferson0025010050200300300000100000126220015411100281590200501452571242627100002116221104510000201002527420038161220013736
Johnson0000120241147126325739540121032202001,209115013011402902129243982510013010075123031462001431001953484613525010000173835811947009913015741079719
Jones00000000000000000010010010010000003018811182118100003011502298497100661001511783000030100137216736410049300143825612
Keokuk00000000000000006510000651124200501301002044113100000000113100004010000401000000000000501001023005812105
Kossuth00001466012392385918920078200002674000000006516510000160300299245950000007119221993000065242116622735000000510051
Lee000000000000000056110157746436000000319019321582000000261241943231002816122125785151000011114421704161000000771932
Linn000000371446248332612001100283395841,367111404100126250287771,1931626840025113031,11461,537144464002144001,37092,030177040000721,262181,33924295400606006271098220
Louisa0000000000000000201000020152100000014511972341000000641982661000000226329240000000046246294100000058876828
Lucas000030100191222133610050100008620000030067736776000003491247229660000201009211122000000008518510000301007211022
Lyon0000000000001101001001341002443000000101001012010000003392359300007010013122013000000001453145325520000002812833
Madison00000020100201971000038158119331002000100852185500003520036171317820020811810040440000000021412141291000025120822624
Mahaska0000431371008026510015837117314036771004010016422814442000000004424810043330134744689200200421005012924133300271250120146119
Marion2010061141004030000501501001002481000060278218653320020100223127640000007131633234000000001212121236020000251472785710
Marshall01003510000352000014940000149414710000851107233941633002092251003976910025124138424425000001004866486700007220053056027
Mills000000008018012010082200001023000040100004010000301004517520000000011621162000000001893189373100000040334764
Mitchell0000002521951220331350025010079164271462005021710021358410011120000195300000041004100000000101101161002010021932555
Monona00000000591591000000005515510000201002671287294200171001411254491000000136218530000000018311831000000720072
Monroe0000571151007220000291008911182751000000007516510000000065100000000176117610000000000000000000016121612
Montgomery00001102202001304265200014230030760000783000078325010015730032143950100000016321633000000001793179370100000000701
Muscatine00000000361361131200251000015630070100003182388348200501001543252600000000782782000000106339114540000000018031803
O'Brien000097210113612434000025130026915204000052125216422415201003895001862595800004455191931557700000010139224023000010717117012843
Osceola000000000000000010010054115420000000000000000000000000000000000000000000000001542000000001542
Page351002510000602000000000000000010010055426543501000000618366840000000020322032000000001984198471560050100007657
Palo Alto000000000000000000341465249930000751151981188300000000000051000000643264833201000000003201000000110011
Plymouth0000501017511253710014711514062575500006221010072380050029240012831,220120000220300246346662,010800001116662,177150100144259322734309
Pocahontas2720000251005231665004013521362377100000201351841139300005320000532421000015147110430000003513817320000005118231874
Polk7,485131,105720931,02141458910,2787311,049201,912101804967487,2401921,34810128541,3318166460195,095257,47850823137716275322887,149319,24661877104529212575,664236,72044502561200813272,790574,214881,3752357031805711264,502227,33879
Pottawattamie00003510000351101100301002902421400005017022,445142,56517000000003035303500000020115031704501000000305135520000000010621062
Poweshiek00000000000000009030000903000029100448247739420012730028825097000035125100602000001003982398300006510010511702
Ringgold00003510000351411000000112115320000000000000000001513711386200000000441441000001000001000000000000
Sac5100003141149340100863251224337580000010011921193201006122525211586000000463341804600100000035529553901200001012819394
Scott0000000038223822000026840089235761241006820081881,01011000021320040736205632001812001,25651,50090000000017741774312180112111393211668213
Shelby0000000000000000003410034100008011511561251300000000115111511121001502002382500500000000821821000000310031
Sioux0000300300891389400001,84533919611,9805601001333113475341,05912872003463005303963850100251185324128461100001156245646000016510012322883
Story00402254277415356861349652,036233362001245253,51730563101,73654251015471,072133,95045385101,1377587125321,818123,9804320631,2983246622052,085104,0552744757835791232117659162,1815565451814317643363565672,636100
Tama00002203001612364772002612251003635401004932513611506375400733225383275612000090100421132212010000131103223645610013630050026926
Taylor0000451371008222060061247300128113030013531531211301102301001422127113366000050100781128225020000002822532471340053230298289410
Union00000000721721751002910000104220100401810068300000000000000000000431431000000002912910000000014611461
Van Buren0000129202001294174200103100002773912000011193128549810000001202218386100000017812642000000003624362448100000023432824
Wapello0000127400001274000025164213832276201000000831103200001103711,29231,4097000000004883488300000000358635860000001411,09931,1134
Warren5010000000050100000041174111526110000008511462000000007522752253100000058111120000000054154100000000231231
Washington000013022011001250414930013749132642641121294007424813856636136020020343732334533131102002365813623716110000452012814326717611002411418122214
Wayne0000000000000000000000000000000012411241441000000371812731000000531126200000000481481000000000000
Webster0000861004411302301001943251632312733830000211122148151472002064393378377012000090120153116330000000026032603200200000012323234
Winnebago0000004720047200002510012411492000030100003010000000099299262100000070237644000000006716715010000007111212
Winneshiek00004010011821583338300002013612719600005720069237495000040112513873552500001101175161759027010000013474347690200151138412023639
Woodbury00000000000018810018720096147140000000080528052201004510066213140000000053935393000000751918420000000047544754
Worth00000000000000000034100341000000000000000000000000000000008028020000000000000000000010511051
Wright510015960100164827300703810010577940014553011052359120000572141148221952510000161301713910000003185327600000000191191

 

Appendix C

Summary of BMP Adoption by HUC-8 Watershed.
HUC-8 NameHUC-8 IDNo-TillConservation TillageCover CropsBioreactors and Saturated BuffersWater Quality WetlandsStructural Erosion Control Practices
Blue Earth0702000994,1009,7605,020   
Root07040008720610160   
Coon-Yellow0706000143,30060,00013,800  5,560
Upper Iowa07060002122,00093,20027,000 22,460
Grant-Little Maquoketa0706000344,90043,40016,200  1,030
Turkey07060004304,000220,00063,3001 3,650
Apple-Plum0706000546,90054,60011,500  840
Maquoketa07060006333,000227,00052,900313,420
Copperas-Duck0708010168,10079,00013,1002 330
Upper Wapsipinicon07080102374,000172,00045,4003 980
Lower Wapsipinicon07080103182,000172,00025,8002 1,320
Flint-Henderson0708010483,80046,9008,9501 2,990
South Skunk07080105364,000250,00046,40035133,360
North Skunk07080106124,000188,00028,600 24,330
Skunk07080107259,000198,00052,8005123,000
Upper Cedar07080201210,00080,60033,7001012700
Shell Rock07080202180,00066,90023,900 6170
Winnebago07080203139,00023,5009,050 6 
West Fork Cedar07080204226,00076,00017,300 2110
Middle Cedar07080205562,000380,00099,40023131,610
Lower Cedar07080206220,000198,00040,8006 1,580
Upper Iowa07080207376,000110,00021,40027360
Middle Iowa07080208265,000348,00055,0004 2,300
Lower Iowa07080209234,000301,00068,600  14,600
Upper Des Moines07100002257,00032,90012,00019130
East Fork Des Moines07100003288,00032,50014,300 540
Middle Des Moines07100004366,00089,60025,6001711700
Boone07100005231,00029,70010,200214100
North Raccoon07100006502,000236,00049,00033201,630
South Raccoon07100007149,000222,00021,200362,600
Lake Red Rock07100008226,000359,00034,000103212,200
Lower Des Moines07100009208,000169,00036,9002 18,000
Bear-Wyaconda0711000124,80018,5005,360  8,580
North Fabius071100027,5105,9101,840  1,220
Lower Big Sioux10170203144,000104,00016,900  5,470
Rock10170204166,00091,00018,200213,640
Blackbird-Soldier10230001105,000188,00012,500  2,150
Floyd10230002208,000155,00022,5005 8,000
Little Sioux10230003460,000292,00026,500283,770
Monona-Harrison Ditch10230004146,000218,00015,000  2,240
Maple10230005132,000129,0009,130  2,200
Big Papillion-Mosquito1023000649,700205,00010,400  4,030
Boyer10230007155,000330,00020,300218,600
Keg-Weeping Water1024000134,200134,0009,200  2,710
West Nishnabotna10240002144,000585,00034,9004 13,800
East Nishnabotna1024000386,100388,00025,200  12,200
Nishnabotna1024000412,90024,5001,280  420
Tarkio-Wolf1024000528,300101,0006,540  7,490
West Nodaway1024000959,000240,00015,100  9,390
Nodaway1024001036,300112,0007,100  6,620
Platte1024001225,20084,3003,660  3,790
One Hundred and Two1024001328,60097,2004,120  3,570
Upper Grand1028010121,50088,2003,320  5,330
Thompson1028010258,100158,00015,000  13,700
Lower Grand1028010312,30023,1002,450  970
Upper Chariton1028020159,300107,00012,200  23,000

 

Appendix D

Surface Water Monitoring by HUC-12 Watershed and Scale of Monitored Watershed.
HUC-12 NameHUC-12 IDLarge WatershedMedium WatershedSmall Catchment or Field-ScaleVery Small WatershedSmall WatershedTile
Drainage Ditch No 21070200090401     1
Iowa Lake070200090601  1   
Upper South Creek070200090602    2 
Doe Creek-Volga River070600000000 42   
Town of New Albin-Mississippi River070600010505    1 
Village Creek070600010602  1   
Paint Creek070600010802    1 
Lower Yellow River070600010906 3    
Picatee Creek-Mississippi River070600011001    1 
Bloody Run070600011002  21  
City of Prairie du Chien-Mississippi River0706000110031     
Town of Granger-Upper Iowa River070600020107 1    
Daisy Valley-Upper Iowa River070600020203 1    
City of Decorah-Upper Iowa River070600020404 1    
Waterloo Creek070600020502  2   
Paint Creek-Upper Iowa River070600020602 3    
Upper Iowa River070600020606    1 
Middle Fork Little Maquoketa River070600030601  1   
Lock and Dam No 10-Mississippi River0706000307041     
Burr Oak Creek-Turkey River070600040308 1    
Brockamp Creek-Turkey River070600040309  1   
Frog Hollow070600040505  1   
Honey Creek-Volga River070600040606 1    
Carlan Creek-Turkey River0706000409022     
Catfish Creek070600050102  1   
Allison Creek-Maquoketa River070600060210 1    
Mineral Creek070600060409  1   
Johns Creek070600060502   1  
Buck Creek-North Fork Maquoketa River070600060803 1    
Cedar Creek-North Fork Maquoketa River070600060804 1    
Pumpkin Creek-Maquoketa River070600061001 1    
Hainer Creek-Maquoketa River0706000610052     
Prairie Creek-Iowa River07080000000051226 14 
Cattail Slough-Mississippi River0708010102042     
Upper Duck Creek070801010301     1
Crow Creek070801010405  1   
Kickapoo Slu-Mississippi River070801010601  1   
Watsons Creek-Wapsipinicon River070801020202  1   
Spring Creek-Little Wapsipinicon River070801020501    1 
Village of Oran-Little Wapsipinicon River070801020503  1   
Otterville Bridge State Access-Wapsipinicon River070801020801 1    
Malone Creek-Wapsipinicon River0708010208031     
Heatons Creek-Wapsipinicon River0708010210021     
Dutch Creek-Wapsipinicon River0708010302011     
Hickory Creek070801030301    12
Walnut Creek070801030408     2
Negro Creek-Silver Creek070801030601   1  
McDonald Creek-Wapsipinicon River0708010306052     
Lost Creek070801030606  1   
Big Hollow-Flint Creek070801041203  1   
West Branch Sugar Creek070801041601  11  
Picayune Creek-Sugar Creek070801041602  21  
Pitman Creek-Sugar Creek070801041604 12   
Drainage Ditch 71070801050102  1   
Worrell Creek-Squaw Creek070801050307 2    
Miller Creek-South Skunk River070801050402  1   
Keigley Branch070801050405  1   
City of Ames-South Skunk River070801050406 1    
Byers Branch-Indian Creek070801050804 1    
Walnut Creek070801050901   1 1
Santiago Creek-South Skunk River070801050906  1   
Sugar Creek-South Skunk River070801050908 1    
Elk Creek070801051002     15
Carson Creek-South Skunk River070801051104     1
Van Zante Creek-South Skunk River070801051106 1 4  
Buckley Creek070801051201   1  
Ballinger Creek-South Skunk River070801051202   2  
Spring Creek-South Skunk River0708010512032 131 
Snyder Creek-South Skunk River0708010512041 22 1
Matrix Branch-South Skunk River070801051206   1  
South Skunk River070801051208     2
Alloway Creek-North Skunk River070801060103  1   
Rock Creek-North Skunk River070801060104  1   
Sugar Creek070801060203  1   
Headwaters Middle Creek070801060301  1   
Moon Creek070801060402  1   
Pleasant Creek-North Skunk River070801060404  1   
Village of Delta-North Skunk River070801060601 1    
German Creek070801060603  1   
North Skunk River070801060604 1    
Upper West Fork Crooked Creek070801070101  1 13
Middle West Fork Crooked Creek070801070102  2 48
Clear Creek070801070301     2
Honey Creek070801070304  1   
Competine Creek070801070502   3  
Headwaters Cedar Creek070801070601  11 1
Spring Creek-Cedar Creek070801070602   1 4
Buckeye Creek070801070603   1  
Wolf Creek-Cedar Creek070801070604  13  
Church Creek-Cedar Creek070801070702 1    
Troy Creek070801070705    1 
Little Cedar Creek070801070707  11  
Summer Creek-Cedar Creek070801070708 2    
Wolf Creek070801070709  11  
Cedar Creek070801070710 4    
Headwaters Big Creek070801070901   1  
Brandywine Creek070801070902   3  
North Branch Big Creek-Big Creek070801070903  22  
Brush Creek-Big Creek070801070904   1  
Lynn Creek-Big Creek070801070905 121  
Skunk River0708010710063     
Deer Creek070802010403  1   
Spring Creek070802010602   2  
Rock Creek070802010604     2
Beaver Creek070802010901  11  
Little Cedar River070802010903 1    
Skunk Creek-Cedar River070802011001     2
Drainage Ditch 3070802011002  12  
Stewart Creek-Cedar River070802011003   5 3
Bloody Run-Cedar River0708020110052    5
Cedar Bend County Park-Cedar River0708020112041     
Village of Janesville-Cedar River0708020112053     
County Ditch No 55070802020106  1   
Peters Creek-Flood Creek070802020503     1
Beaver Creek070802020702     3
Shell Rock River0708020207053 1   
Buffalo Creek070802030105    1 
Headwaters Beaver Creek070802030107  1   
Clear Creek070802030201  2   
Cheslea Creek-Willow Creek070802030203  3   
Spring Creek070802030304  1   
City of Mason City-Winnebago River070802030306 1    
Mason Creek-Winnebago River070802030401  1   
Buffalo Creek070802040301     1
West Fork Cedar River070802040607 3    
Middle Fork South Beaver Creek070802050101  1   
Headwaters South Beaver Creek070802050102  1   
South Beaver Creek070802050103 1    
Headwaters Beaver Creek070802050201  1   
North Beaver Creek070802050202  1   
Drainage Ditch 148-Beaver Creek070802050203  1 1 
Gran Creek-Beaver Creek070802050204 1    
Johnson Creek070802050301  1   
Phelps Creek-Beaver Creek070802050302  1   
Max Creek-Beaver Creek070802050303  1   
South Fork Black Hawk Creek070802050401  1   
North Fork Black Hawk Creek070802050403 1    
Holland Creek070802050501  1   
Mosquito Creek070802050503 1    
Minnehaha Creek-Black Hawk Creek070802050504  1   
Village of Reinbeck-Black Hawk Creek070802050505  1   
Wilson Creek-Black Hawk Creek070802050601 1    
Prescotts Creek-Black Hawk Creek070802050602 21   
Dry Run070802050701  2   
Waterloo Municipal Airport

Waterloo Muncipal Airport

Airport.
070802050702  2   
Black Hawk Park-Cedar River0708020507031  1  
Little Wolf Creek070802050802  1   
Village of Conrad-Wolf Creek070802050803  2   
Rock Creek070802050806  21  
Twelvemile Creek070802050807  1   
Devils Run-Wolf Creek070802050808 1    
Wolf Creek070802050809 71 11
Indian Creek070802050903  1   
Headwaters Miller Creek070802050904  1343
Miller Creek070802050905  3317
Sink Creek-Cedar River0708020509061 2   
Rock Creek-Cedar River070802051001     1
Spring Creek070802051002  1   
Lime Creek070802051003  1   
McFarlane State Park-Cedar River070802051005     5
Pratt Creek070802051101  3   
Hinkle Creek070802051102  3   
Prairie Creek-Cedar River070802051103  1   
Mud Creek070802051104  44  
Dudgeon Lake State Wildlife Management Area-Cedar River0708020511051 1  1
Opossum Creek070802051201  2   
Wildcat Creek070802051202  21  
Little Bear Creek070802051203  1   
Bear Creek070802051204  1   
West Otter Creek070802051301  1   
East Otter Creek-Otter Creek070802051302  1   
Village of Van Horne-Prairie Creek070802051402   2  
Mud Creek-Prairie Creek070802051403  1   
Weasel Creek-Prairie Creek070802051404 2    
Prairie Creek070802051405 1    
East Branch Blue Creek070802051501  1   
Nelson Creek-Cedar River070802051504  1   
Dry Creek070802051505  1   
Morgan Creek0708020515061 1   
Silver Creek-Cedar River0708020515073 1   
Indian Creek070802060103  1   
Pleasant Run-Cedar River07080206040112    
Mill Creek-Cedar River0708020604051     
West Branch Wapsinonoc Creek070802060702   6  
Crane Creek-Cedar River0708020608063     
Headwaters West Branch Iowa River070802070101  1 2 
Drainage Ditch No 1070802070102  1   
Eagle Lake State Game Management Area-West Branch Iowa River070802070103  1   
West Branch Iowa River070802070104  2 11
Drainage Ditch No 9-East Branch Iowa River070802070204    14
East Branch Iowa River070802070205  1   
Elm Lake State Game Management Area-Iowa River070802070302 11  1
Headwaters Tipton Creek070802070401     2
Tipton Creek070802070402  1   
Headwaters South Fork Iowa River070802070601   1  
Middle South Fork Iowa River070802070603    3 
Lower South Fork Iowa River070802070604 2    
Pine Creek-Iowa River070802070902 22 1 
Brush Creek070802080202  1   
Timber Creek070802080206 1    
Headwaters Deer Creek070802080301  1   
Dry Branch-Iowa River0708020804031     
Davisons Creek-Iowa River070802080405 1    
Bennett Creek-Iowa River0708020804071     
Stein Creek070802080504  1  2
East Branch Salt Creek070802080505     2
Salt Creek070802080507 1    
Walnut Creek070802080603  1   
Richland Creek070802080701  1   
Big Bear Creek070802080806 1   1
Village of Belle Plaine-Iowa River0708020809031     
Price Creek070802081002  1   
Mill Race-Iowa River0708020810031     
Lake MacBride-Mill Creek070802081008  1   
Middle Clear Creek070802090102  3   
Old Womans Creek-Old Mans Creek070802090207 2    
Deep River070802090403  1   
Devils Run070802090405  1   
Outlet North English River070802090408 1    
Ramsey Creek-English River070802090605 2    
Rapid Creek070802090701  1   
Ralston Creek-Iowa River0708020907033  21 
Davis Creek070802090801     6
Short Creek070802090805     3
North Fork Long Creek070802090901    11
South Fork Long Creek070802090902     3
Johnny Creek-Long Creek070802090905  1   
Ditch No 25-Iowa River0708020911021     
Otter Creek-Iowa River0708020911044     
Kettle Creek-Des Moines River07100000000031427 16 
School Creek-Des Moines River0710000201061     
City of Emmetsburg-Des Moines River0710000204041     
Drainage Ditch 80071000020501  1   
Pilot Creek071000020703  1  5
Beaver Creek071000020803    12
Indian Creek071000020902    13
Drainage Ditch 35-Des Moines River0710000209032   11
Okamanpeedan Lake-East Fork Des Moines River071000030108    1 
Headwaters Buffalo Creek071000030402  1   
Drainage Ditch 51-East Fork Des Moines River071000030802 1    
Drainage Ditch 182071000030805    11
Drainage Ditch 94-East Fork Des Moines River071000030806 1    
East Fork Des Moines River0710000309031     
Upper North Branch Lizard Creek071000040102     1
Spring Creek071000040203     3
Lower South Branch Lizard Creek071000040204     1
Lower Lizard Creek071000040303 1    
Badger Creek071000040403  1   
Brushy Creek071000040504  1  3
Prairie Creek071000040603   233
Gypsum Creek-Des Moines River0710000406041     
Crooked Creek071000040605     1
Skillet Creek071000040701     1
Allen Creek-Des Moines River0710000407021     
Bluff Creek071000040703  2   
Bear Creek071000040705     1
Big Creek071000040803  1   
West Beaver Creek071000040902     1
Headwaters Beaver Creek071000040905     1
Slough Creek071000040907  1 14
Little Beaver Creek-Beaver Creek071000040908     2
City of Bouton-Beaver Creek071000040909     7
Royer Creek-Beaver Creek071000040910 1    
Beaver Creek071000040911 4    
Murphy Branch-Des Moines River071000041001     4
Rock Creek-Des Moines River0710000410022     
Saylor Creek-Des Moines River0710000410031     
Headwaters Prairie Creek071000050102  1   
Drainage Ditch 116-Prairie Creek071000050103     1
Drainage Ditch 18-Prairie Creek071000050104     2
Headwaters Boone River071000050201     1
Middle Branch Boone River071000050202  1   
East Branch Boone River071000050203  1  2
Drainage Ditch 44-Boone River071000050204 11   
Drainage Ditch 1-Boone River071000050205 1    
West Otter Creek071000050301  1   
Headwaters Otter Creek071000050302  1  3
Otter Creek071000050303 1    
Eagle Creek071000050403 1 2 4
Headwaters White Fox Creek071000050501  21  
Buck Creek071000050502  1   
White Fox Creek071000050503 1  14
Joint Drainage Ditch 3-Boone River071000050601 1    
Drainage Ditch 9071000050602  1   
Drainage Ditch 3071000050603  1  1
Drainage Ditch 4-Boone River071000050604 3   2
Lyons Creek071000050701  1   
Drainage Ditch 206071000050703  2  1
Prairie Creek-Boone River07100005070511 1  
Headwaters Little Cedar Creek071000060102  1   
Little Cedar Creek071000060103  2  1
Headwaters Cedar Creek071000060202  1  5
Prairie Creek071000060205  1   
Drainage Ditch 20-Cedar Creek071000060208 1    
Headwaters North Raccoon River071000060301    11
Lateral 6-North Raccoon River071000060303    11
Lateral 2071000060304  1  10
Poor Farm Creek071000060305  1   
Lateral 3-North Raccoon River071000060306  1   
Outlet Creek071000060307  3   
Drainage Ditch 101-North Raccoon River071000060308 11  4
Buck Run071000060309    12
Sac City-North Raccoon River071000060310 1    
Wall Lake Inlet071000060401  31  
Indian Creek-North Raccoon River071000060403  1   
Camp Creek071000060505  1   
Drainage Ditch 13-Lake Creek071000060603  1   
Lake Creek071000060605  1   
Purgatory Creek071000060702  1   
Drainage Ditch 73-North Raccoon River071000060801 2    
Drainage Ditch 25-North Raccoon River071000060802    11
Prairie Creek071000060803  1  1
Elk Run-North Raccoon River071000060804   3 9
Rainbow Bend County Park-North Raccoon River071000060805     3
Marrowbone Creek-North Raccoon River071000060806   121
East Cedar Creek071000060903     11
Cedar Creek071000060904 1    
Hardin Creek071000061005 1  12
East Buttrick Creek071000061102  1  1
Headwaters West Buttrick Creek071000061202     2
West Buttrick Creek071000061203  1   
Buttrick Creek071000061204  1   
Greenbrier Creek071000061302  1 11
Drainage Ditch 171-North Raccoon River0710000614051     
Fannys Branch-North Raccoon River071000061501     2
Swan Lake Branch071000061502   2  
Frog Creek-North Raccoon River071000061503 1   1
Hickory Creek-North Raccoon River0710000615051     
Walnut Creek071000061602  2   
Johnson Creek-Raccoon River0710000617021     
Jordan Creek-Raccoon River0710000617034 3   
Lower Willow Creek071000070104 1  1 
City of Carroll-Middle Raccoon River071000070203   1  
Spring Branch-Middle Raccoon River071000070204  1   
Willey Branch-Middle Raccoon River071000070205 1    
Upper Middle Raccoon River071000070206 1 21 
Middle Brushy Creek071000070302     3
Lower Brushy Creek071000070303 1  12
City of Guthrie Center-South Raccon River071000070404 1    
Lake Panorama-Middle Raccoon River071000070601 21  1
Bays Branch071000070602     1
City of Panora-Middle Raccoon River071000070603 4    
East Branch Panther Creek071000070802     1
Panther Creek071000070803 1    
Outlet South Raccoon River0710000709041     
Upper Fourmile Creek071000080101   131
Lower Fourmile Creek071000080103  2   
Cedar Creek071000080401  1   
Badger Creek071000080402  1   
North River071000080405 2    
South Turkey Creek071000080603  1   
Jefferson Cemetary-Middle River071000080605    1 
Lower Squaw Creek071000080804  1   
Short Creek-South River071000081201 2    
Headwaters White Breast Creek071000081302  1   
Little White Breast Creek071000081305  3   
Kirk Branch-White Breast Creek071000081403 2    
Mud Creek071000081502   1  
Yeader Creek-Des Moines River0710000815031 1   
Camp Creek071000081504   1  
Walnut Creek071000081505   1  
Wildcat Creek-Des Moines River0710000815071     
Wallingslock Creek-Des Moines River071000081509  1   
Cedar Creek071000090310 2    
Price Creek-Des Moines River0710000905012     
Middle Soap Creek071000090605  1   
Brown Creek-Des Moines River0710000907041     
Bear Creek School-Bear Creek071000090706  1   
Kettle Creek-Des Moines River071000090709  1   
Tug Fork-Big Indian Creek071000091001  1   
Birch Creek-Sugar Creek071000091102    11
Coppers Creek-Des Moines River0710000912063 1   
Rollins Creek-Des Moines River071000091209  1   
Bitter Creek-Little Sioux River1020000000001537776119
Dickerson Branch-Thompson River103000000000 811