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Iowa State University

Application of multi-state financial data for use with the USDA Agricultural Conservation Planning Framework

Abstract

dc:description.abstract

The degradation of water quality has been an increasing concern across much of the US Corn Belt region, specifically with regards to excess nutrient pollution. Agriculturally dominated landscapes are one of the major contributors to impairments in waterways at both local and regional scales. As Iowa and other US Corn Belt states continue to navigate water quality issues, spatially targeted conservation and watershed planning tools, such as the Agricultural Conservation Planning Framework (ACPF), can bring new and relevant information to conservation efforts. The main goal of this research was to develop and test datasets and methodologies to be used with the ACPF to quantify costs and nitrate reduction outcomes associated with best management practices (BMPs) and conservation scenarios in agriculturally dominated watersheds across the US Corn Belt. The ACPF is a GIS-based conservation planning tool that uses high-resolution geospatial data to spatially identify critical source areas for nutrient loss within agricultural watersheds and opportunities for BMPs in those locations. This research outlines an ACPF-compatible, multi-state financial dataset and a field-scale nitrogen reduction tool for use when analyzing different ACPF conservation scenarios. The incorporation of financial data and nitrate reduction estimates allows users to calculate total long-term cost and cost effectiveness of various conservation plans. The combination of these data will assist water quality stakeholders, technical service providers, Extension professionals, and landowners in determining where BMPs should be placed on the landscape to yield the most effective and lowest cost nitrate reduction at a watershed scale. Overall, the results will contribute to the conservation efforts of Iowa and other US Corn Belt states as they continue working to mitigate water quality issues in a cost-effective way.

Degree

thesis:*
Name thesis:degree_name
Master of Science
Level thesis:degree_level
thesis
Discipline thesis:degree_discipline
Agriculture economics
Department dc:contributor.department
Department of Natural Resource Ecology and Management
Grantor
Iowa State University
Year dc:date.issued
2021

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Bravard, Emma
Advisors dc:contributor.advisor
  • Tyndall, John C
  • Zimmerman, Emily K
  • Isenhart, Thomas M

Rights

Language dc:language.iso
en

Identifiers

dc:identifier.*
Repository record dc:identifier.uri
https://dr.lib.iastate.edu/handle/20.500.12876/7rKo0o1r
OAI identifier oai:identifier
oai:dr.lib.iastate.edu:20.500.12876/7rKo0o1r

Chain of custody

source
Harvested from
Iowa State University
Base URL
dr.lib.iastate.edu/server/oai/request
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
related terms
citation

Bravard, Emma. Application of multi-state financial data for use with the USDA Agricultural Conservation Planning Framework. thesis thesis, Iowa State University, 2021. https://dr.lib.iastate.edu/handle/20.500.12876/7rKo0o1r