4.7 Article

Targets-Plans-Decision: A framework to identify the size of protected areas based on the balance of ecological protection and economic development

期刊

JOURNAL OF ENVIRONMENTAL MANAGEMENT
卷 304, 期 -, 页码 -

出版社

ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.jenvman.2021.114302

关键词

Reserve selection; Tradeoff analysis; Conservation budget; Ecological protection efficiency; MaxEnt

资金

  1. National Natural Science Foundation of China [42071284]
  2. Beijing Key Laboratory of Spatial Development for Capital Region [20181091313]

向作者/读者索取更多资源

A framework called Targets-Plans-Decision (TPD) was established to identify the adequate size of Protected Areas (PAs) by combining species distribution probability prediction, Systematic Conservation Planning (SCP) theory, and protection efficiency analysis. The framework defines protection targets, plans PAs of different sizes, and determines the optimal size through ecological protection efficiency analysis. Empirical study in Nanchang showed that setting PAs size to 70% of important habitats and ecosystems was most beneficial for ecological protection, and the TPD framework can serve as a basis for PAs size identification worldwide.
A framework called Targets-Plans-Decision (TPD) was established for identifying the size of adequate protected areas (PAs) based on the combination of species distribution probability prediction method, systematic conservation planning (SCP) theory, and protection efficiency analysis, to achieve a balance between ecological protection and economic development. The first step of the framework is to determine the protection targets. In this study, the protection targets were defined as important habitats and important ecosystems. The second step is to identify the PAs plans of different sizes. We adopted a SCP method, which takes into account costeffectiveness while delineating the PAs. The third step is to determine the optimal size of the PAs through ecological protection efficiency analysis. We constructed the protection efficiency index (PEI), which is the protection cost per unit area. Then we used Kaya identity (a structural decomposition method) to decompose PEI. The decomposed PEI included value density (ecological value per unit area) and value cost (cost to realize unit ecological value). By analyzing the changes of the two, the optimal size of the PAs can be determined. We took Nanchang as an example to conduct an empirical study to verify the usability of the TPD framework. The result shows the TPD framework proposed in this study can effectively identify the optimal size of PAs and contribute to forming a cost-effective ecological protection plan. When the size of PAs was set to 70% of the important habitats and important ecosystems, it was most beneficial for ecological protection. Furthermore, the optimal protection efficiency plan recommended by the TPD framework improved the efficiency of ecological protection. The TPD framework can serve as a basis for the size identification of PAs and also support the delineation of PAs worldwide.

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