A Systematic Area Prioritization Process for Biodiversity Conservation in the DMZ and the CCZ
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초록
This study aims to propose an approach that systematically prioritize areas for biodiversity conservation in the DMZ and CCZ in Korea. Instead of using intuitive approaches for area prioritization, the study incorporates Maxent and ResNet in conjunction with Geographic Information System(GIS) to systematically select areas for biodiversity conservation. The study used Maxent to rapidly predict species' geographical distributions based on known occurrence data, as well as ResNet to identify sets of complementary sites needed to achieve quantitative targets for biodiversity features. In modeling species' distributions, Maxent mathematically computes the relationship between species occurrence data and environmental surrogates. Using well-constructed habitat distribution models, ResNet applies explicit area selection rules, such as complementarity and rarity to maximize biodiversity value. This combined application of algorithms is especially useful to establish conservation area networks in the CCZ and the DMZ, where access to data and resources is constrained significantly.
Abstract
This study aims to propose an approach that systematically prioritize areas for biodiversity conservation in the DMZ and CCZ in Korea. Instead of using intuitive approaches for area prioritization, the study incorporates Maxent and ResNet in conjunction with Geographic Information System(GIS) to systematically select areas for biodiversity conservation. The study used Maxent to rapidly predict species' geographical distributions based on known occurrence data, as well as ResNet to identify sets of complementary sites needed to achieve quantitative targets for biodiversity features. In modeling species' distributions, Maxent mathematically computes the relationship between species occurrence data and environmental surrogates. Using well-constructed habitat distribution models, ResNet applies explicit area selection rules, such as complementarity and rarity to maximize biodiversity value. This combined application of algorithms is especially useful to establish conservation area networks in the CCZ and the DMZ, where access to data and resources is constrained significantly.
참고문헌 (21)
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