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Open AccessJournal ArticleDOI

Prioritization of habitat patches for landscape connectivity conservation differs between least-cost and resistance distances

Catherine Avon, +1 more
- 13 Jan 2016 - 
- Vol. 31, Iss: 7, pp 1551-1565
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TLDR
Compared the prioritization of habitat patches according to least-cost distance (LCD) and resistance distance (RD), using common binary and probabilistic connectivity metrics, found that habitat patch prioritization did not depend on distance type when considering the role of patch as contributing to dispersal fluxes.
Abstract
Methods quantifying habitat patch importance for maintaining habitat network connectivity have been emphasized in helping to prioritize conservation actions. Functional connectivity is accepted as depending on landscape resistance, and several measures of functional inter-patch distance have been designed. However, how the inter-patch distance, i.e., based on least-cost path or multiple paths, influences the identification of key habitat patches has not been explored. We compared the prioritization of habitat patches according to least-cost distance (LCD) and resistance distance (RD), using common binary and probabilistic connectivity metrics. Our comparison was based on a generic functional group of forest mammals with different dispersal distances, and was applied to two landscapes differing in their spatial extent and fragmentation level. We found that habitat patch prioritization did not depend on distance type when considering the role of patch as contributing to dispersal fluxes. However, the role of patch as a connector facilitating dispersal might be overestimated by LCD-based indices compared with RD for short- and medium-distance dispersal. In particular, when prioritization was based on dispersal probability, the consideration of alternatives routes identified the connectors that probably provided functional connectivity for species in the long term. However, the use of LCD might help identify landscape areas that need critical restoration to improve individual dispersal. Our results provide new insights about the way that inter-patch distance is viewed changes the evaluation of functional connectivity. Accordingly, prioritization methods should be carefully selected according to assumptions about population functioning and conservation aims.

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References
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Journal ArticleDOI

Using circuit theory to model connectivity in ecology, evolution, and conservation.

TL;DR: A new class of ecological connectivity models based in electrical circuit theory, which offer distinct advantages over common analytic connectivity models, including a theoretical basis in random walk theory and an ability to evaluate contributions of multiple dispersal pathways are introduced.
Journal ArticleDOI

Landscape connectivity: a graph‐theoretic perspective

TL;DR: In this paper, a set of analyses using a hypothetical landscape mosaic of habitat patches in a nonhabitat matrix is developed. And the results suggest that a simple graph construct, the minimum spanning tree, can serve as a powerful guide to decisions about the relative importance of individual patches to overall landscape con- nectivity.
Journal ArticleDOI

The application of 'least-cost' modelling as a functional landscape model

TL;DR: The model is shown to be a flexible tool to model functional connectivity in the study of the relation between landscape and mobility of organisms as well as in scenario building and evaluation in wild life protection projects and applied land management projects.
Journal ArticleDOI

A new habitat availability index to integrate connectivity in landscape conservation planning : Comparison with existing indices and application to a case study

TL;DR: A new index (probability of connectivity, PC) that is based on the habitat availability concept, dispersal probabilities between habitat patches and graph structures is presented and found that PC is the only index that systematically accomplished all the requirements, overcoming some serious limitations of other available indices.
Journal ArticleDOI

Circuit theory predicts gene flow in plant and animal populations

TL;DR: An ecological connectivity model is tested that overcomes an obstacle by borrowing from electrical circuit theory and vastly improves gene flow predictions, revealing that barriers were less important in structuring populations than previously thought.
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