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

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

doi:10.1111/ecog.01691

Treesearch

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

Formally Refereed

Authors:

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

Year:

2016

Type:

Scientific Journal

Station:

Rocky Mountain Research Station

DOI:

https://doi.org/10.1111/ecog.01691

Source:

Ecography. 39: 419-426.

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Abstract

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

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.