Optimizing Spatial Land Management to Balance Water Quality and Economic Returns in a Lake Erie Watershed
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DOI: 10.1016/j.ecolecon.2017.08.015
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Cited by:
- Wenyuan Jiang & Zhenxiang Zeng & Zhengyun Zhang & Yichen Zhao, 2022. "Regulation and Optimization of Urban Water and Land Resources Utilization for Low Carbon Development: A Case Study of Tianjin, China," Sustainability, MDPI, vol. 14(5), pages 1-22, February.
- Liu, Hongxing & Gopalakrishnan, Sathya & Browning, Drew & Sivandran, Gajan, 2019. "Valuing water quality change using a coupled economic-hydrological model," Ecological Economics, Elsevier, vol. 161(C), pages 32-40.
- Min Liu & Jianpeng Fan & Yuanzheng Li & Qizheng Mao, 2023. "Ecosystem Service Optimisation in the Central Plains Urban Agglomeration Based on Land Use Structure Adjustment," Land, MDPI, vol. 12(7), pages 1-27, July.
- Schönhart, Martin & Trautvetter, Helene & Parajka, Juraj & Blaschke, Alfred Paul & Hepp, Gerold & Kirchner, Mathias & Mitter, Hermine & Schmid, Erwin & Strenn, Birgit & Zessner, Matthias, 2018. "Modelled impacts of policies and climate change on land use and water quality in Austria," Land Use Policy, Elsevier, vol. 76(C), pages 500-514.
- Boddiford, Ashley N. & Kaufman, Daniel E. & Skipper, Daphne E. & Uhan, Nelson A., 2023. "Approximating a linear multiplicative objective in watershed management optimization," European Journal of Operational Research, Elsevier, vol. 305(2), pages 547-561.
- Hui Xu & Daniel G. Brown & Allison L. Steiner, 2018. "Sensitivity to climate change of land use and management patterns optimized for efficient mitigation of nutrient pollution," Climatic Change, Springer, vol. 147(3), pages 647-662, April.
- Kroetz, Kailin & Kuwayama, Yusuke & Vexler, Caroline, 2019. "What is a Fish Out of Water? The Economics Behind the Joint Management of Water Resources and Aquatic Species in the United States," RFF Working Paper Series 19-09, Resources for the Future.
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Keywords
Non-point source pollution; Land-use change; Spatial optimization; Economic returns;All these keywords.
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