Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions
In arid regions, agricultural production and ecological health heavily depend on limited water resources, necessitating the implementation of additional water-saving measures to promote sustainable development. Crop spatial planting structure optimization, as an effective water-saving measure, has b...
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| Format: | Article |
| Language: | English |
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Elsevier
2025-03-01
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| Series: | Agricultural Water Management |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S0378377425000629 |
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| author | Longbin Hao Shouhong Zhang Fan Zhang Yufei Ren Xinyu Zhang Jing Yan |
| author_facet | Longbin Hao Shouhong Zhang Fan Zhang Yufei Ren Xinyu Zhang Jing Yan |
| author_sort | Longbin Hao |
| collection | DOAJ |
| description | In arid regions, agricultural production and ecological health heavily depend on limited water resources, necessitating the implementation of additional water-saving measures to promote sustainable development. Crop spatial planting structure optimization, as an effective water-saving measure, has been widely utilized to enhance water-use efficiency by aligning the supply and demand of different crops. Besides water-saving benefits, crop planting also offers advantages in terms of market proximity and pollution control. Therefore, this study endeavors to integrate the Von Thunen's agricultural location theory, an agricultural non-point source pollution model, and 0–1 integer multi-objective programming into a unified framework to optimize crop spatial planting structure in arid regions. This approach is applied to a case study in the middle reaches of the Heihe River in northwest China. Results indicate that: (1) The grid-based 0–1 integer multi-objective approach can effectively make tradeoff among market attractiveness, pollution control, and crop suitability for crop planting structure planning in arid regions. (2) Optimal crop planting structure can increase agricultural planting profits by 4.679 billion CNY, while reduces system agricultural non-point source pollution and total water allocation by 34.72 % and 10.19 %, respectively. (3) The multi-objective approach shows better performance than single-objective models by comparing the Synthetic Degree (SD), Sustainability Index (SI), and Approximation Degree (AD). The advantages and successful application of proposed approach indicate that it is universality and effectiveness in addressing agricultural resource management issues in arid regions. |
| format | Article |
| id | doaj-art-53b984b3e29146a7bbab7a82a08e8aa4 |
| institution | Kabale University |
| issn | 1873-2283 |
| language | English |
| publishDate | 2025-03-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Agricultural Water Management |
| spelling | doaj-art-53b984b3e29146a7bbab7a82a08e8aa42025-02-02T05:26:44ZengElsevierAgricultural Water Management1873-22832025-03-01309109348Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regionsLongbin Hao0Shouhong Zhang1Fan Zhang2Yufei Ren3Xinyu Zhang4Jing Yan5State Key Laboratory of Efficient Production of Forest Resources, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Jixian National Forest Ecosystem Observation and Research Station, CNERN, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Beijing Engineering Research Center of Soil and Water Conservation, Beijing 100083, ChinaState Key Laboratory of Efficient Production of Forest Resources, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Jixian National Forest Ecosystem Observation and Research Station, CNERN, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Beijing Engineering Research Center of Soil and Water Conservation, Beijing 100083, ChinaJixian National Forest Ecosystem Observation and Research Station, CNERN, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Corresponding author.Jixian National Forest Ecosystem Observation and Research Station, CNERN, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, ChinaState Key Laboratory of Efficient Production of Forest Resources, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Jixian National Forest Ecosystem Observation and Research Station, CNERN, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Beijing Engineering Research Center of Soil and Water Conservation, Beijing 100083, ChinaState Key Laboratory of Efficient Production of Forest Resources, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Jixian National Forest Ecosystem Observation and Research Station, CNERN, School of Soil and Water Conservation, Beijing Forestry University, Beijing 100083, China; Beijing Engineering Research Center of Soil and Water Conservation, Beijing 100083, ChinaIn arid regions, agricultural production and ecological health heavily depend on limited water resources, necessitating the implementation of additional water-saving measures to promote sustainable development. Crop spatial planting structure optimization, as an effective water-saving measure, has been widely utilized to enhance water-use efficiency by aligning the supply and demand of different crops. Besides water-saving benefits, crop planting also offers advantages in terms of market proximity and pollution control. Therefore, this study endeavors to integrate the Von Thunen's agricultural location theory, an agricultural non-point source pollution model, and 0–1 integer multi-objective programming into a unified framework to optimize crop spatial planting structure in arid regions. This approach is applied to a case study in the middle reaches of the Heihe River in northwest China. Results indicate that: (1) The grid-based 0–1 integer multi-objective approach can effectively make tradeoff among market attractiveness, pollution control, and crop suitability for crop planting structure planning in arid regions. (2) Optimal crop planting structure can increase agricultural planting profits by 4.679 billion CNY, while reduces system agricultural non-point source pollution and total water allocation by 34.72 % and 10.19 %, respectively. (3) The multi-objective approach shows better performance than single-objective models by comparing the Synthetic Degree (SD), Sustainability Index (SI), and Approximation Degree (AD). The advantages and successful application of proposed approach indicate that it is universality and effectiveness in addressing agricultural resource management issues in arid regions.http://www.sciencedirect.com/science/article/pii/S0378377425000629Crop spatial planting structure optimization0–1 integer multi-objective approachVon Thunen's theoryAgricultural non-point source pollutionArid agricultural regionsWater Resource Management |
| spellingShingle | Longbin Hao Shouhong Zhang Fan Zhang Yufei Ren Xinyu Zhang Jing Yan Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions Agricultural Water Management Crop spatial planting structure optimization 0–1 integer multi-objective approach Von Thunen's theory Agricultural non-point source pollution Arid agricultural regions Water Resource Management |
| title | Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions |
| title_full | Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions |
| title_fullStr | Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions |
| title_full_unstemmed | Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions |
| title_short | Balancing water saving, market attractiveness, and pollution control in crop spatial planting structure planning of arid regions |
| title_sort | balancing water saving market attractiveness and pollution control in crop spatial planting structure planning of arid regions |
| topic | Crop spatial planting structure optimization 0–1 integer multi-objective approach Von Thunen's theory Agricultural non-point source pollution Arid agricultural regions Water Resource Management |
| url | http://www.sciencedirect.com/science/article/pii/S0378377425000629 |
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