Predicting global population connectivity and targeting conservation action for snow leopard across its rangeAuthor(s): Philip Riordan; Samuel A. Cushman; David Mallon; Kun Shi; Joelene Hughes
Source: Ecography. 39: 419-426.
Publication Series: Scientific Journal (JRNL)
Station: Rocky Mountain Research Station
View PDF (947.0 KB)
Movements of individuals within and among populations help to maintain genetic variability and population viability. Therefore, understanding landscape connectivity is vital for effective species conservation. The snow leopard is endemic to mountainous areas of central Asia and occurs within 12 countries. We assess potential connectivity across the species’ range to highlight corridors for dispersal and genetic flow between populations, prioritizing research and conservation action for this wide-ranging, endangered top-predator.
- You may send email to email@example.com to request a hard copy of this publication.
- (Please specify exactly which publication you are requesting and your mailing address.)
- We recommend that you also print this page and attach it to the printout of the article, to retain the full citation information.
- This article was written and prepared by U.S. Government employees on official time, and is therefore in the public domain.
Riordan, Philip; Cushman, Samuel A.; Mallon, David; Shi, Kun; Hughes, Joelene. 2016. Predicting global population connectivity and targeting conservation action for snow leopard across its range. Ecography. 39: 419-426.
Keywordspopulations, genetic variability, landscape connectivity, species conservation, snow leopard
- The genetic network of greater sage-grouse: Range-wide identification of keystone hubs of connectivity
- Hierarchical population structure in greater sage-grouse provides insight into management boundary delineation
- Inferring geographic isolation of wolverines in California using historical DNA
XML: View XML