Figure 3C from Cushman & Landguth 2012

Figure 3C from Cushman & Landguth 2012

An ideal in conservation planning is to create connected habitat that will simultaneously benefit as many species as possible. However, little is known about whether it is effective to plan for connectivity using a multi-species approach, and if so, which species might be the best indicator species to use. Cushman and Landguth (2012) have taken a unique approach to identify hypothetical species that are most at-risk due to limited population connectivity, and then used resistant kernel connectivity modeling to determine whether connectivity for multiple species can be maintained by focusing on one or few umbrella species. Their approach is focused at a larger landscape scale and models connectivity as a gradient rather than discreet, narrow patches of habitat. As an example, they use three large carnivores to test whether wide-ranging species with large area requirements can be used as indicators for connectivity to protect several other species with varying degrees of dispersal ability.

Their findings provide spatially explicit predictions of connectivity that can be used to determine high priority regions that would protect the total connectivity of the population. Their results also support the strong role of dispersal ability in affecting the degree of connectivity across landscapes. Since multiple focal species might have differing dispersal abilities, it is critical to assess how landscape linkages might support or hinder individual movement. They also show that large carnivores, despite being wide-ranging species that rely on highly connected habitat, may not be good umbrella species for connectivity due to elevational restraints or sensitivity to human encroachment. Their study provides a framework for creating conservation strategies to protect species that are most vulnerable to habitat fragmentation.

Resources

Cushman SA, EL Landguth. 2012. Multi-taxa connectivity in the Northern Rocky Mountains. Ecological Modelling 231:101-112.