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A heuristic-based approach to mitigating positional errors in patrol data for species distribution modeling

文献类型：期刊论文

作者Zhang, Guiming1; Zhu, A-Xing1,2,3,4,5; Huang, Zhi-Pang6,7; Xiao, Wen6,7
刊名TRANSACTIONS IN GIS
出版日期2018-02-01
卷号22期号:1页码:202-216
ISSN号1361-1682
DOI10.1111/tgis.12303
通讯作者Huang, Zhi-Pang(huangzp@eastern-himalaya.cn) ; Xiao, Wen(xiaow@eastern-himalaya.cn)
英文摘要Species distribution modeling (SDM) at fine spatial resolutions requires species occurrence data of high positional accuracy to achieve good model performance. However, wildlife occurrences recorded by patrols in ranger-based monitoring programs suffer from positional errors, because recorded locations represent the positions of the ranger and differ from the actual occurrence locations of wildlife (hereinafter referred to as positional errors in patrol data). This study presented an evaluation of the impact of such positional errors in patrol data on SDM and developed a heuristic-based approach to mitigating the positional errors. The approach derives probable wildlife occurrence locations from ranger positions, utilizing heuristics based on species preferred habitat and the observer's field of view. The evaluations were conducted through a case study of SDM using patrol records of the black-and-white snub-nosed monkey (Rhinopithecus bieti) in Yunnan, China. The performance of the approach was also compared against alternative sampling methods. The results showed that the positional errors in R. bieti patrol data had an adverse effect on SDM performance, and that the proposed approach can effectively mitigate the impact of the positional errors to greatly improve SDM performance.
WOS关键词MONKEY RHINOPITHECUS-BIETI ; PROTECTED AREAS ; BIODIVERSITY ; YUNNAN ; ENFORCEMENT ; PERFORMANCE ; POPULATION ; PREDICTION ; MANAGEMENT ; DECISIONS
资助项目National Natural Science Foundation of China[31560118] ; National Natural Science Foundation of China[30960085] ; National Natural Science Foundation of China[41431177] ; National Basic Research Program of China[2015CB954102] ; Natural Science Research Program of Jiangsu[14KJA170001] ; PAPD, National Key Technology Innovation Project for Water Pollution Control and Remediation[2013ZX07103006]
WOS研究方向Geography
语种英语
WOS记录号WOS:000425596600011
出版者WILEY
资助机构National Natural Science Foundation of China ; National Basic Research Program of China ; Natural Science Research Program of Jiangsu ; PAPD, National Key Technology Innovation Project for Water Pollution Control and Remediation
源URL[http://ir.igsnrr.ac.cn/handle/311030/57016]  
专题中国科学院地理科学与资源研究所
通讯作者Huang, Zhi-Pang; Xiao, Wen
作者单位1.Univ Wisconsin Madison, Dept Geog, Madison, WI USA
2.Nanjing Normal Univ, Key Lab Virtual Geog Environm, Nanjing, Jiangsu, Peoples R China
3.State Key Lab Cultivat Base Geog Environm Evolut, Nanjing, Jiangsu, Peoples R China
4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China
5.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Jiangsu, Peoples R China
6.Dali Univ, Inst Eastern Himalaya Biodivers Res, Dali 671003, Peoples R China
7.Collaborat Innovat Ctr Biodivers & Conservat Thre, Dali, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Guiming,Zhu, A-Xing,Huang, Zhi-Pang,et al. A heuristic-based approach to mitigating positional errors in patrol data for species distribution modeling[J]. TRANSACTIONS IN GIS,2018,22(1):202-216.
APA Zhang, Guiming,Zhu, A-Xing,Huang, Zhi-Pang,&Xiao, Wen.(2018).A heuristic-based approach to mitigating positional errors in patrol data for species distribution modeling.TRANSACTIONS IN GIS,22(1),202-216.
MLA Zhang, Guiming,et al."A heuristic-based approach to mitigating positional errors in patrol data for species distribution modeling".TRANSACTIONS IN GIS 22.1(2018):202-216.

入库方式： OAI收割

来源：地理科学与资源研究所

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