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Excess agricultural nitrogen (N) in the environment is a persistent problem in the United States and other regions of the world, contributing to water and air pollution, as well as to climate change. Efforts to reduce N from agricultural sources largely rely on voluntary efforts by farmers to reduce inputs and improve uptake by crops. However, research has failed to comprehensively depict farmers' N decision-making processes, particularly when engaging with uncertainty. Through analysis of in-depth interviews with US corn (Zea mays L.) growers, this study reveals how farmers experience and process numerous uncertainties associated with N management, such as weather variability, crop and input price volatility, lack of knowledge about biophysical systems, and the possibility of underapplying or overapplying. Farmers used one of two general decision-making management strategies to address these uncertainties: heuristic-based or data-intensive decision-making. Heuristic-based decision-making involves minimizing sources of uncertainty and reliance on heuristics and personal previous experiences, while data-intensive decision-making is the increased use of field- and farm-scale data collection and management, as well as increased management effort within a given growing season.
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Does adopting a nitrogen best management practice reduce nitrogen fertilizer rates?
Technical best management practices are the dominant approach promoted to mitigate agriculture’s significant contributions to environmental degradation. Yet very few social science studies have examined how farmers actually use these practices. This study focuses on the outcomes of farmers’ technical best management practice adoption related to synthetic nitrogen fertilizer management in the context of Midwestern corn agriculture in the United States. Moving beyond predicting the adoption of nitrogen best management practices, I use structural equation modeling and data from a sample of over 2500 farmers to analyze how the number of growing season applications a farmer uses influences the rate at which synthetic nitrogen is applied at the field-level. I find that each additional application of N during the growing season is associated with an average increase of 2.4 kg/ha in farmers’ average N application rate. This result counters expectation for the outcome of this practice and may suggest that structural pressures are leading farmers to use additional growing season applications to ensure sufficiently high N rates, rather than allowing them to reduce rates. I conclude by discussing the implication of this study for future research and policy.
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- PAR ID:
- 10275763
- Date Published:
- Journal Name:
- Agriculture and Human Values
- ISSN:
- 0889-048X
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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Accepted Manuscript1.0
- Journal Article:
- https://doi.org/10.1007/s10460-021-10227-9
