Predicting the distribution of poorly-documented species, Northern black widow
Predicting the distribution of poorly-documented species, Northern black widow
About this item
Full title
Author / Creator
Publisher
Public Library of Science
Journal title
Language
English
Formats
Publication information
Publisher
Public Library of Science
Subjects
More information
Scope and Contents
Contents
Predicting species distributions requires substantial numbers of georeferenced occurrences and access to remotely sensed climate and land cover data. Reliable estimates of the distribution of most species are unavailable, either because digitized georeferenced distributional data are rare or not digitized. The emergence of online biodiversity infor...
Alternative Titles
Full title
Predicting the distribution of poorly-documented species, Northern black widow
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_gale_incontextgauss_ISR_A549443723
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_gale_incontextgauss_ISR_A549443723
Other Identifiers
ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0201094
