An Inductive Model of Farmer Conservation Decision Making for Nitrogen Management
| Autor: | Bjorn Olson, Mae A. Davenport |
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| Rok vydání: | 2017 |
| Předmět: |
Descriptive statistics
business.industry media_common.quotation_subject Best practice 05 social sciences 0507 social and economic geography 010501 environmental sciences 01 natural sciences Resource (project management) Agriculture Multiple time dimensions Conceptual model business 050703 geography Environmental planning Autonomy 0105 earth and related environmental sciences Nature and Landscape Conservation media_common Qualitative research |
| Zdroj: | Landscape Journal. 36:59-73 |
| ISSN: | 1553-2704 0277-2426 |
| Popis: | This study explores the drivers of and constraints to conservation decision making and practice adoption among agricultural producers in two impaired Minnesota watersheds in the Upper Mississippi River Basin. Concerns about nutrient management and non-point source nitrogen loading in the region prompted the study. Data were gathered through in-depth interviews with 30 farmers operating in the watersheds. Qualitative data analysis revealed multiple interacting drivers and constraints to conservation decision making and supported an inductive conceptual model anchored in three spheres of decision making: farming ethic, conservation practice appraisal, and conservation action. Finer descriptive analysis focused on the first two spheres revealed varying beliefs, levels of focus, and saliency involving dynamic thought processes of conservation decision making. Farming ethic encompassed multiple dimensions of farmer identity and values, social norms of farm management, and personal norms of conservation action. Appraisal dimensions were tied to resources, practice efficacy, risk and uncertainty, and autonomy. The model will enable policy makers and resource managers to better plan, design and manage conservation policies and programs. Study findings can inform nutrient management and enable better alignment with farmer decision-making processes. |
| Databáze: | OpenAIRE |
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