IGSNRR OpenIR
A heuristic-based approach to mitigating positional errors in patrol data for species distribution modeling
Zhang, Guiming1; Zhu, A-Xing1,2,3,4,5; Huang, Zhi-Pang6,7; Xiao, Wen6,7
2018-02-01
Source PublicationTRANSACTIONS IN GIS
ISSN1361-1682
Volume22Issue:1Pages:202-216
Corresponding AuthorHuang, Zhi-Pang(huangzp@eastern-himalaya.cn) ; Xiao, Wen(xiaow@eastern-himalaya.cn)
AbstractSpecies 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.
DOI10.1111/tgis.12303
WOS KeywordMONKEY RHINOPITHECUS-BIETI ; PROTECTED AREAS ; BIODIVERSITY ; YUNNAN ; ENFORCEMENT ; PERFORMANCE ; POPULATION ; PREDICTION ; MANAGEMENT ; DECISIONS
Indexed BySCI
Language英语
Funding ProjectNational 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]
Funding OrganizationNational 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
WOS Research AreaGeography
WOS SubjectGeography
WOS IDWOS:000425596600011
PublisherWILEY
Citation statistics
Document Type期刊论文
Identifierhttp://ir.igsnrr.ac.cn/handle/311030/57017
Collection中国科学院地理科学与资源研究所
Corresponding AuthorHuang, Zhi-Pang; Xiao, Wen
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Zhang, Guiming]'s Articles
[Zhu, A-Xing]'s Articles
[Huang, Zhi-Pang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Zhang, Guiming]'s Articles
[Zhu, A-Xing]'s Articles
[Huang, Zhi-Pang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Zhang, Guiming]'s Articles
[Zhu, A-Xing]'s Articles
[Huang, Zhi-Pang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.