Evaluating management strategies for sustainable crop production under changing climate conditions: A system dynamics approach
| Autor: | Ravinesh C. Deo, Yen Pham, Kathryn Reardon-Smith |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Irrigation
Environmental Engineering Land use Natural resource economics Climate Climate Change 0208 environmental biotechnology Agriculture 02 engineering and technology General Medicine 010501 environmental sciences Management Monitoring Policy and Law Ecological systems theory 01 natural sciences Crop Production 020801 environmental engineering Water scarcity Water resources Vietnam Sustainability Environmental science Production (economics) Agricultural productivity Waste Management and Disposal 0105 earth and related environmental sciences |
| Zdroj: | Journal of environmental management. 292 |
| ISSN: | 1095-8630 |
| Popis: | The increasing frequency and severity of drought pose significant threats to sustainable agricultural production across the world. Managing drought risks is challenging given the complexity of the interdependencies and feedback between climate drivers and socio-economic and ecological systems. To better understand the dynamics that drive the impacts of drought and water scarcity on crop production, a system dynamics model has been developed to explore complex interactions between factors in associated with drought and agricultural production, and examine how these might impact agricultural sustainability, using a case study in a coffee production system in Viet Nam. The model shows that water- and land-use drivers and their interactions with ecological and socio-economic factors play a more significant role than drought in determining the sustainability of coffee production. Results of policy scenario analyses indicate that drought conditions might exacerbate problems related to water shortages for irrigation but their impacts could be substantially minimized through applying intervention strategies, including restriction of the total area of land available for coffee production (to ~ 190,000 ha) and a 25% reduction in the irrigation amount per hectare of coffee compared to the common practices. Overall, the model findings add significant insight into drought and water resources management for sustainable crop production and the developed model can serve as a decision-support tool to inform strategic policy-making. |
| Databáze: | OpenAIRE |
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