Predicting suitable cultivation regions of medicinal plants with Maxent modeling and fuzzy logics: a...
Predicting suitable cultivation regions of medicinal plants with Maxent modeling and fuzzy logics: a case study of Scutellaria baicalensis in China
About this item
Full title
Author / Creator
Zhang, Linlin , Cao, Bo , Bai, Chengke , Li, Guishuang and Mao, Mingce
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Journal title
Language
English
Formats
Publication information
Publisher
Berlin/Heidelberg: Springer Berlin Heidelberg
Subjects
More information
Scope and Contents
Contents
Scientific prediction of suitable cultivation regions is an effective way for the assessment of habitat suitability and resource conservation to protect endangered medicinal plants. In recent years, the natural habitat of
Scutellaria baicalensis
Georgi has been degenerating and disappearing in China owing to excessive market demand of medicin...
Alternative Titles
Full title
Predicting suitable cultivation regions of medicinal plants with Maxent modeling and fuzzy logics: a case study of Scutellaria baicalensis in China
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_proquest_miscellaneous_1776654800
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_miscellaneous_1776654800
Other Identifiers
ISSN
1866-6280
E-ISSN
1866-6299
DOI
10.1007/s12665-015-5133-9
