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Title: Predicting global population connectivity and targeting conservation action for snow leopard across its range

Author: Riordan, Philip; Cushman, Samuel A.; Mallon, David; Shi, Kun; Hughes, Joelene;

Date: 2016

Source: Ecography. 39: 419-426.

Publication Series: Scientific Journal (JRNL)

Description:

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.

Keywords: populations, genetic variability, landscape connectivity, species conservation, snow leopard

Publication Notes:

  • 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.

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Citation:


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.

 


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