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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;
Source: Ecography. 39: 419-426.
Publication Series: Scientific Journal (JRNL)
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
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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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