KIB OpenIR  > 资源植物与生物技术所级重点实验室
Mapping non-wood forest product (matsutake mushrooms) using logistic regression and a GIS expert system
Yang, Xuefei; Skidmore, Andrew K.; Melick, David R.; Zhou, Zhekun; Xu, Jianchu
Corresponding Authorxujianchu@mail.kib.ac.cn
2006-09-15
Source PublicationECOLOGICAL MODELLING
ISSN0304-3800
Volume198Issue:1-2Pages:208-218
AbstractMatsutake (Tricholoma spp.) are a group of commercially important mushrooms that are increasingly threatened by over-collection. Ecologically sustainable management of matsutake has been hindered by the lack of essential information such as reliable distribution maps. Although a variety of spatial distribution models have been applied to map many different plants, this has rarely been attempted for mushrooms. In this study, we employed a logistic regression and a GIS expert system to model the fine-scale spatial distribution of matsutake in Yunnan southwest China Both models predicted mushroom habitat to an accuracy acceptable for resource management. The overall mapping accuracy of the GIS expert system was slightly better than the logistic regression model (70.37% versus 65.43%). Furthermore, unlike the logistic regression model, developing the GIS expert system required no field-based samples. This has important practical implications because it is very difficult to survey and sample mushrooms and other non-wood forest products (NWFP), which are usually inconspicuous species and/or lower plants. Therefore, when adequate samples are not available, incorporating local expert knowledge can help make better-informed management decisions and provide an affordable habitat identification tool. (c) 2006 Elsevier B.V. All rights reserved.
KeywordMatsutake Mushroom Non-wood Forest Products Spatial Distribution Logistic Regression Gis Expert System Northwest Yunnan China
Subject AreaEcology
DOI10.1016/j.ecolmodel.2006.04.011
Indexed BySCI
Language英语
WOS Research AreaEnvironmental Sciences & Ecology
WOS SubjectEcology
WOS IDWOS:000240823100016
Citation statistics
Cited Times:40[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.kib.ac.cn/handle/151853/2443
Collection资源植物与生物技术所级重点实验室
Affiliation1.Chinese Acad Sci, Kunming Inst Bot, Lab Biogeog & Biodivers, Kunming 650204, Peoples R China
2.Int Inst Geoenvironm Sci & Earth Observ, NL-7500 AA Enschede, Netherlands
Recommended Citation
GB/T 7714
Yang, Xuefei,Skidmore, Andrew K.,Melick, David R.,et al. Mapping non-wood forest product (matsutake mushrooms) using logistic regression and a GIS expert system[J]. ECOLOGICAL MODELLING,2006,198(1-2):208-218.
APA Yang, Xuefei,Skidmore, Andrew K.,Melick, David R.,Zhou, Zhekun,&Xu, Jianchu.(2006).Mapping non-wood forest product (matsutake mushrooms) using logistic regression and a GIS expert system.ECOLOGICAL MODELLING,198(1-2),208-218.
MLA Yang, Xuefei,et al."Mapping non-wood forest product (matsutake mushrooms) using logistic regression and a GIS expert system".ECOLOGICAL MODELLING 198.1-2(2006):208-218.
Files in This Item: Download All
File Name/Size DocType Version Access License
201111220011.pdf(468KB) 开放获取--View Download
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Xuefei]'s Articles
[Skidmore, Andrew K.]'s Articles
[Melick, David R.]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Xuefei]'s Articles
[Skidmore, Andrew K.]'s Articles
[Melick, David R.]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Xuefei]'s Articles
[Skidmore, Andrew K.]'s Articles
[Melick, David R.]'s Articles
Terms of Use
No data!
Social Bookmark/Share
File name: 201111220011.pdf
Format: Adobe PDF
This file does not support browsing at this time
All comments (0)
No comment.
 

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