文章基本信息

标题：Protecting China Cedar (Cryptomeria fortunei) Habitat Using GIS-Based Simulation, Modeling of Existence Probability, and Function Zoning
其他标题：Protecting China Cedar (Cryptomeria fortunei) Habitat Using GIS-Based Simulation, Modeling of Existence Probability, and Function Zoning
本地全文：下载
作者：Wang Tie ; Li Mei ; Wang Naiang 等
期刊名称：Mountain Research and Development
印刷版ISSN：0276-4741
电子版ISSN：1994-7151
出版年度：2007
卷号：27
期号：4
页码：352-358
DOI：10.1659/mrd.0773
摘要：The Tianmu Mountain National Nature Reserve (TMNNR) preserves the only primeval forest of China cedar ( Cryptomeria fortunei ) in the world. In order to assist in planning the protection of China cedar habitat and propose a scientific zoning project for TMNNR, we established a nature reserve geographic information system (NRGIS) of TMNNR using a geographic information system (GIS) and remote sensing (RS). In support of NRGIS, we produced a 3-dimensional simulation of TMNNR and obtained a predictive model through a combination of logistic regression modeling and multivariate analysis. The results demonstrate that slope direction, soil type, and annual precipitation are the main factors affecting China cedar habitat. The existence probability of China cedar increases with (converted) slope direction and annual precipitation. Yellow soil (FAO classification) is more suitable for the growth of China cedar in comparison to red soil (FAO classification). Finally, we predicted suitable habitats for China cedar using a model and function zoning for TMNNR. We suggest that it is necessary to analyze key factors affecting China cedar habitat in order to ensure appropriate conservation measures. NRGIS has been found indispensable for studying, protecting, and managing China cedar forest and TMN-NR. NRGIS provides not only modeling information but also the means for monitoring this rare species, identifying suitable locations for reintroduction, and carrying out visible and dynamic management of the whole reserve.
关键词：Nature reserve GIS; Cryptomeria fortunei; habitat; simulation; predictive model; function zoning; China