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  4. 中科院海岸带环境过程与生态修复重点实验室
Spatial efficiency of protected mangrove areas in Madagascar

文献类型：期刊论文

作者Fan, Chao1,2,3,4; Xu, He1,2,3,4; Hou, Xiyong1,2,4
刊名JOURNAL OF ENVIRONMENTAL MANAGEMENT
出版日期2023
卷号325页码:11
ISSN号0301-4797
关键词Coastal area Google earth engine Mangrove Madagascar Protected areas Vulnerability index
DOI10.1016/j.jenvman.2022.116568
通讯作者Hou, Xiyong(xyhou@yic.ac.cn)
英文摘要Protected Areas (PAs) are an important nature-based solution for mangrove conservation and rehabilitation. We evaluated spatial effectiveness of PAs for mangroves toward achieving Global Conservation Targets (GCTs). The hypothesis for this study was that PAs with different attributes have insignificant effects on mangrove conser-vation. We assessed the proportions of the most vulnerable mangroves inside PAs, and focused on a typical mangrove country (Madagascar). First, based on remote sensing technology and big data in Google Earth Engine (GEE), we identified the exposure location of mangroves, and determined the environmental factors significantly influencing mangrove distribution. Then, Vulnerability Assessment and Hot-Spot Analysis models were used to measure spatial vulnerability and hotspots of those values, respectively. Finally, we implemented the statistics for the most vulnerable mangroves inside PAs. It was found that: i. Mangroves were mainly abundant in west and east coasts with low latitudes, and the most typical environmental factor influencing mangrove distribution was elevation and; ii. PAs sheltered 486.18 km(2) (22.16%) of the most vulnerable mangroves in Madagascar. Overall, PAs in Madagascar failed to match 30% of spatial requirements proposed by GCTs (A key proportion of spatial requirements used to reverse trends in biodiversity loss). This study provides a quantitative paradigm for veri-fying the spatial efficiency of PAs, and will inform local decision-makers on places where mangroves are facing adaption loss to optimize mangrove conservation in future.
WOS关键词BIG DATA APPLICATIONS ; GOOGLE EARTH ENGINE ; BIODIVERSITY ; FORESTS ; MARINE ; CHALLENGES ; PATTERN ; REGION
WOS研究方向Environmental Sciences & Ecology
语种英语
WOS记录号WOS:000886558400006
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences
源URL[http://ir.yic.ac.cn/handle/133337/31918]  
专题烟台海岸带研究所_中科院海岸带环境过程与生态修复重点实验室
烟台海岸带研究所_海岸带信息集成与综合管理实验室
通讯作者Hou, Xiyong
作者单位1.Shandong Key Lab Coastal Environm Proc, Yantai 264003, Shandong, Peoples R China
2.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Key Lab Coastal Environm Proc & Ecol Remediat, Yantai 264003, Peoples R China
3.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
4.Chinese Acad Sci, Yantai Inst Coastal Zone Res, Yantai 264003, Peoples R China
推荐引用方式
GB/T 7714		 Fan, Chao,Xu, He,Hou, Xiyong. Spatial efficiency of protected mangrove areas in Madagascar[J]. JOURNAL OF ENVIRONMENTAL MANAGEMENT,2023,325:11.
APA Fan, Chao,Xu, He,&Hou, Xiyong.(2023).Spatial efficiency of protected mangrove areas in Madagascar.JOURNAL OF ENVIRONMENTAL MANAGEMENT,325,11.
MLA Fan, Chao,et al."Spatial efficiency of protected mangrove areas in Madagascar".JOURNAL OF ENVIRONMENTAL MANAGEMENT 325(2023):11.

入库方式： OAI收割

来源：烟台海岸带研究所

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