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A Comparative Study on Species Richness and Land Suitability Assessment - Focused on city in Boryeong -

Man-Seok Shin 1 Jang, Raeik 2 서창완 3 Lee, Myung-Woo 4

1국립생태원
2전북대학교 대학원 조경학과
3서울대학교
4전북대학교

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ABSTRACT

The purposes of this study are to apply species distribution modeling in urbanmanagement planning for habitat conservation in non-urban area and to provide a detailedclassification method for management zone. To achieve these objectives, Species Distribution Modelwas used to generate species richness and then to compare with the results from land suitabilityassessment. 59 species distribution models were developed by Maxent. This study used 15 model variables (5 topographical variables, 4 vegetation variables, and 6 distance variables) for Maxentmodels. Then species richness was created by sum of predicted species distributions. Land suitabilityassessment was conducted with criteria from type Ⅰ of “Guidelines for land suitability assessment”. After acquiring evaluation values from species richness and land suitability assessment, the resultsfrom these two models were compared according to the five grades of classification. The areas withthe identical grade in Species richness and land suitability assessment are categorized and thencompared each other. The comparison results are Grade1 10.92%, Grade2 37.10%, Grade3 34.56%,Grade4 20.89% and Grade5 1.73%. Grade1 and Grade5 showed the lowest agreement rate. Namely,development or conservation grade showed high disagreement between two assessment system. Therefore, the areas located between urban, agriculture, forest, and reserve have a tendency tochange easily by development plans. Even though management areas are not the core area ofreserve, it is important to provide a venue for species habitat and eco-corridor to protect and improvebiodiversity in terms of landscape ecology. Consequently, adoption of species richness in three levelsof management area classification such as conservation, production, planning should be consideredin urban management plan.

Citation status

* References for papers published after 2023 are currently being built.