4.1 Article

Coupling trade-offs and supply-demand of ecosystem services (ES): A new opportunity for ES management

Journal

GEOGRAPHY AND SUSTAINABILITY
Volume 2, Issue 4, Pages 275-280

Publisher

ELSEVIER
DOI: 10.1016/j.geosus.2021.11.002

Keywords

Environmental management; Service conflicts; Supply-demand contradictions; Coupling analysis

Funding

  1. National Natural Science Foundation of China [41861134038, 41771197]
  2. Norwegian Research Council [286773]
  3. Fundamental Research Funds for the Central Universities
  4. Fundamental Research Program of Shanxi Province [20210302123481]

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The study proposes a new analytic framework that couples the trade-offs and supply-demand relations of ecosystem services (ES), aiming to minimize supply-demand risk areas and identify an optimal land use plan to simultaneously alleviate ES conflicts and supply-demand contradictions through scenario iterations. This offers new opportunities for improving sustainable ecosystem management.
The trade-offs and supply-demand relations of ecosystem services (ES) are at the frontier of geographical and ecological studies. However, previous studies have focused on either trade-offs or the supply-demand aspects, while ES conflicts and supply/demand contradictions have not been comprehensively examined. The relationship between ES trade-offs and supply-demand is logically valid and studying the coupling of both can provide approaches for simultaneously alleviating ES conflicts and supply-demand contradictions. This study, based on a review of previous analyses of ES trade-offs and supply-demand dynamics, proposes a new analytic framework to couple them. First, we define two types of trade-offs based on the directions of growth or decline of the two services. We also define the supply-demand balance area and the supply-demand risk area according to the ES flow characteristics. Second, the mechanisms driving ES trade-offs are clarified, and land-use scenarios are set based on the mechanisms. Third, the supply-demand spatial characteristics of ES are analyzed, and supply-demand risk areas are identified. Finally, scenario iterations are performed to minimize the supply-demand risk area at an acceptable trade-off intensity to identify an optimal land use plan, which simultaneously alleviates ES conflicts and supply-demand contradictions. This analytic framework offers new opportunities for improving sustainable ecosystem management.

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