Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China
文献类型：期刊论文
| 作者 | Zhang, Guiming1; Zhu, A-Xing2,3,4,5,6 ; He, Yu-Chao7; Huang, Zhi-Pang; Ren, Guo-Peng8,9; Xiao, Wen8,9
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| 刊名 | ECOLOGICAL INDICATORS
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| 出版日期 | 2020-11-01 |
| 卷号 | 118页码:10 |
| 关键词 | Habitat suitability mapping Wildlife sightings Local villagers Patrol records Data integration Black-and-white snub-nosed monkey (Rhinopithecus bieti) |
| ISSN号 | 1470-160X |
| DOI | 10.1016/j.ecolind.2020.106735 |
| 通讯作者 | Zhang, Guiming(guiming.zhang@du.edu) |
| 英文摘要 | Wildlife habitat mapping is a widely used tool for supporting decision making in conservation. It requires data indicating wildlife habitat use to model and map habitat suitability. Collecting wildlife data, however, requires much effort, especially for species in remote mountainous regions of limited accessibility. Such circumstances often necessitate the integration of limited amounts of data available from multiple sources for habitat mapping. To that end, this study presents a framework for integrating multi-source wildlife data for habitat mapping. For evaluating the integration framework, a case study of mapping habitat suitability of the black-and-white snub-nosed monkey (Rhinopithecus bieti) by integrating sightings elicited from local volunteer villagers and obtained from official patrol records was conducted in Yunnan, China. The integration was explored at three levels: data-, knowledge- and model-level following disparate principles. The predicted habitat suitability maps were validated against monkey occurrence data independently collected though field-tracking. Results show the suitability maps predicted based on data integration were more accurate compared to maps predicted based on individual data sources. Data- and model-level integration achieved higher accuracy compared to knowledge-level integration. Further, data- and model-level integration following a conservative principle, i.e., the 'minimum' operator, led to higher mapping accuracy. The integration framework is generally applicable for integrating data from multiple sources for habitat mapping. It is also easy to implement and thus can be conveniently adopted by practitioners. Habitat suitability maps generated based on integrated data from multiple sources could better supporting decision making in biodiversity monitoring and conservation. |
| WOS关键词 | SPECIES DISTRIBUTIONS ; CITIZEN DATA |
| 资助项目 | Internationalization Grant at the University of Denver ; Faculty Research Fund at the University of Denver ; National Natural Science Foundation of China[41871300] ; National Natural Science Foundation of China[31860164] ; National Natural Science Foundation of China[31860168] ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison ; Second Tibetan Plateau Scientific Expedition and Research Program[2019QZKK0402] |
| WOS研究方向 | Biodiversity & Conservation ; Environmental Sciences & Ecology |
| 语种 | 英语 |
| WOS记录号 | WOS:000578967500032 |
| 出版者 | ELSEVIER |
| 资助机构 | Internationalization Grant at the University of Denver ; Faculty Research Fund at the University of Denver ; National Natural Science Foundation of China ; Vilas Associate Award ; Hammel Faculty Fellow Award ; Manasse Chair Professorship from the University of Wisconsin-Madison ; Second Tibetan Plateau Scientific Expedition and Research Program |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/157189]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Zhang, Guiming |
| 作者单位 | 1.Univ Denver, Dept Geog & Environm, Denver, CO 80208 USA 2.Univ Wisconsin Madison, Dept Geog, Madison, WI USA 3.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing, Peoples R China 4.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Peoples R China 5.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 6.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China 7.Adm Yunling Prov Nat Reserve, Lanping County, Peoples R China 8.Dali Univ, Inst Eastern Himalaya Biodivers Res, Dali, Peoples R China 9.Collaborat Innovat Ctr Biodivers & Conservat Thre, Dali, Peoples R China |
| 推荐引用方式 GB/T 7714 | Zhang, Guiming,Zhu, A-Xing,He, Yu-Chao,et al. Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China[J]. ECOLOGICAL INDICATORS,2020,118:10. |
| APA | Zhang, Guiming,Zhu, A-Xing,He, Yu-Chao,Huang, Zhi-Pang,Ren, Guo-Peng,&Xiao, Wen.(2020).Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China.ECOLOGICAL INDICATORS,118,10. |
| MLA | Zhang, Guiming,et al."Integrating multi-source data for wildlife habitat mapping: A case study of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China".ECOLOGICAL INDICATORS 118(2020):10. |
入库方式： OAI收割
来源：地理科学与资源研究所
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