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Using MaxEnt Model to Guide Marsh Conservation in the Nenjiang River Basin, Northeast China

文献类型：期刊论文

作者Wang Zhiliang1,2; Zhang Bai3; Zhang Xuezhen2; Tian Hongxu1
刊名CHINESE GEOGRAPHICAL SCIENCE
出版日期2019-12-01
卷号29期号:6页码:962-973
关键词MaxEnt model irreplaceability index marsh conservation Red-crowned crane (Grus japonensis) Nenjiang River Basin
ISSN号1002-0063
DOI10.1007/s11769-019-1082-7
通讯作者Zhang Bai(Zhangbai@neigae.ac.cn)
英文摘要Incorporating private and working lands into protected area networks could mitigate the isolation state of protected areas (PAs) and improve the efficiency of conservation. But how to select patches of land for conservation is still a troublesome issue. In this study, the MaxEnt model and irreplaceability index were applied to guide marsh conservation in the Nenjiang River Basin, Northeast China. According to the high accuracy of the MaxEnt model predictions (i.e., the average AUC value = 0.933), the Wuyuer River and Zhalong marshes in the downstream reaches of Wuyuer River are the optimal habitat for the Red-crowned crane and migratory waterfowls. There are 22 marsh patches selected by the patch irreplaceability index for conservation, of which 12 patches had been included in the current network of protected areas. The other 10 patches of marsh (amounting to 1096 km(2)) far from human disturbances with high NDVI (up to 0.8) and close distance to water (less than 100 m), which are excluded from the existing network of PAs, should be implemented conservation easement programs to improve the protection efficiency of conservation. Specifically, the marshes at Taha, Tangchi, and Lamadian should be given priority for conservation and restoration to reintroduce migratory waterfowls, as this would lessen the current isolation state of the Zhalong National Nature Reserve.
WOS关键词PROTECTED AREA NETWORK ; SPECIES DISTRIBUTIONS ; HABITAT SELECTION ; IRREPLACEABILITY ; EXTENSIONS ; MECHANISMS ; MANAGEMENT ; RESERVES ; WETLANDS ; TARGETS
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000501500500005
出版者SPRINGER
源URL[http://ir.igsnrr.ac.cn/handle/311030/130175]  
专题中国科学院地理科学与资源研究所
通讯作者Zhang Bai
作者单位1.Qiqihar Univ, Coll Sci, Qiqihar 161006, Peoples R China
2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Land Surface Pattern & Simulat, Beijing 100101, Peoples R China
3.Chinese Acad Sci, Northeast Inst Geog & Agroecol, Changchun 130102, Jilin, Peoples R China
推荐引用方式
GB/T 7714		 Wang Zhiliang,Zhang Bai,Zhang Xuezhen,et al. Using MaxEnt Model to Guide Marsh Conservation in the Nenjiang River Basin, Northeast China[J]. CHINESE GEOGRAPHICAL SCIENCE,2019,29(6):962-973.
APA Wang Zhiliang,Zhang Bai,Zhang Xuezhen,&Tian Hongxu.(2019).Using MaxEnt Model to Guide Marsh Conservation in the Nenjiang River Basin, Northeast China.CHINESE GEOGRAPHICAL SCIENCE,29(6),962-973.
MLA Wang Zhiliang,et al."Using MaxEnt Model to Guide Marsh Conservation in the Nenjiang River Basin, Northeast China".CHINESE GEOGRAPHICAL SCIENCE 29.6(2019):962-973.

入库方式： OAI收割

来源：地理科学与资源研究所

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