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Exploring agricultural advice networks,beneficial management practices and water quality on the landscape: A geospatial social-ecological systems analysis
Institution:1. Environmental Sustainability Research Centre, Brock University, St. Catharines Ontario L2S 3A1, Canada;2. Department of Geography, Brock University, St. Catharines Ontario L2S 3A1, Canada;3. Stockholm Resilience Centre, Stockholm University, SE-106 91 Stockholm, Sweden;1. Dipartimento di Agraria, University of Sassari, Italy;2. LaSalle Investment Management, One Curzon Street, London, UK;3. Dipartimento di Scienze della Natura e del Territorio, University of Sassari, Italy;4. Dipartimento di Agraria, Mediterranea University of Reggio Calabria, Italy;1. Environmental Change Institute, University of Oxford, UK;2. CGIAR Research Program on Climate Change, Agriculture and Food Security (CCAFS), Denmark;3. Said Business School, University of Oxford, Wolfson College, UK;1. Department of Soil Science and Agricultural Engineering, Faculty of Agriculture, University of Zimbabwe, P.O. Box 167, Mt Pleasant, Harare, Zimbabwe;2. Department of Agricultural Economics, Faculty of Agriculture, University of Zimbabwe, P.O. Box 167, Mt Pleasant, Harare, Zimbabwe
Abstract:Agricultural practices have been linked to detrimental effects on ecosystems, with water quality of particular concern. Research has been devoted to understanding uptake of beneficial, or best, management practices (BMPs) in agriculture; however, sources of advice and subsequent effects on the landscape have not been elucidated. This study set out to understand (1) what sources of information agricultural producers rely on when making land-management decisions; (2) the characteristics of their advice networks; and (3) how the advice network linked spatially to water quality on the landscape. A watershed in Alberta was used as a case study and respondents identified that regional advisors were relied upon most often for advice and these advisors had the most influence on the adoption of BMPs. Results indicate that respondents with connections to regional actors implemented more BMPs that those without. Regional government actors had a greater effect than regional non-governmental actors. Local actors played a lesser role in advice networks related to BMP adoption. A 3D geovisualization was used to explore linkages among advisors, BMPs, and water quality. This technique may be useful for other scenarios and can contribute to policy development and enhanced practices.
Keywords:Agricultural practices  Social network analysis  Surface water quality  3D geovisualization
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