Publisher | Elsevier |
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Volume / Issue | 107 |
Pages | 105-118 |
Total Pages | 13 pages |
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PDF Link | https://www.sciencedirect.com/science/article/pii/S1364815217311088 |
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DOI | doi.org/10.1016/j.envsoft.2018.06.006 |
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Tags | ecosystem services; environment impact assessment; ecosystem modeling; trade-off analysis; multi-objective optimization |
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Publication Date | June 14, 2018 |
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Abstract | Agricultural land management often involves trade-offs between ecosystem services (ES) and disservices (EDS). Balancing these trade-offs to achieve low-impact production of agricultural commodities requires rigorous approaches for quantifying and optimizing ES and EDS, reconciling biophysical constraints and different management objectives. In this study, we demonstrate a high-resolution spatially-explicit analysis of ES and EDS trade-offs for irrigated corn production systems in the South Platte River Basin, Colorado, USA, as a case study. The analysis integrated a biogeochemical model (DayCent) with optimization algorithms to assess trade-offs between multiple ES and EDS indicators, including net primary production, soil organic carbon, water use, nitrogen leaching, and greenhouse gas emissions. Our results show a large fraction of total potential system productivity (up to 21 Mg ha−1 year−1) can be realized at minimal ecosystem impacts through careful land management decisions. Our analysis also explores how different land management objectives imply different landscape configurations. |
Created: 9/25/2018 12:36 PM (ET)
Modified: 9/25/2018 12:36 PM (ET)