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Context
Landscape graphs are widely used to model connectivity and to support decision-making in conservation planning. Compartmentalization methods applied to such graphs aim to define clusters of highly interconnected patches. Recent studies show that compartmentalization based on modularity is suitable, but it applies to non-weighted graphs whereas most landscape graphs involve weighted nodes and links.Objectives
We propose to adapt modularity computation to weighted landscape graphs and to validate the relevance of the resulting compartments using demographic or genetic data about the patches.Methods
A weighted adjacency matrix was designed to express potential fluxes, associating patch capacities and inter-patch distances. Eight weighting scenarios were compared. The statistical evaluation of each compartmentalization was based on Wilks’ Lambda. These methods were performed on a grassland network where patches are documented by annual densities of water voles in the Jura massif (France).Results
The scenarios in which patch capacity is assigned a small weight led to the more relevant results, giving high modularity values and low Wilks’ Lambda values. When considering a fixed number of compartments, we found a significant negative correlation between these two criteria. Comparison showed that compartments are ecologically more valid than graph components.Conclusions
The method proposed is suitable for designing ecologically functional areas from weighted landscape graphs. Maximum modularity values can serve as a guide for setting the parameters of the adjacency matrix.2.
Foltête Jean-Christophe Savary Paul Clauzel Céline Bourgeois Marc Girardet Xavier Sahraoui Yohan Vuidel Gilles Garnier Stéphane 《Landscape Ecology》2020,35(5):1053-1053
Landscape Ecology - In the original publication of the article, the sixth author name has been misspelt. The correct name is given in this Correction. The original article has been corrected. 相似文献
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Foltête Jean-Christophe Savary Paul Clauzel Céline Bourgeois Marc Girardet Xavier Sahraoui Yohan Vuidel Gilles Garnier Stéphane 《Landscape Ecology》2020,35(5):1035-1052
Landscape Ecology - Landscape graphs are widely used to model networks of habitat patches. As they require little input data, they are particularly suitable for supporting conservation decisions... 相似文献
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Jean-Christophe Foltête Céline Clauzel Gilles Vuidel Pierline Tournant 《Landscape Ecology》2012,27(4):557-569
Species distribution models (SDMs) are commonly used in ecology to map the probability of species occurrence on the basis
of predictive factors describing the physical environment. We propose an improvement on SDMs by using graph methods to quantify
landscape connectivity. After (1) mapping the habitat suitable for a given species, this approach consists in (2) building
a landscape graph, (3) computing patch-based connectivity metrics, (4) extrapolating the values of those metrics to any point
of space, and (5) integrating those connectivity metrics into a predictive model of presence. For a given species, this method
can be used to interpret the significance of the metrics in the models in terms of population structure. The method is illustrated
here by the construction of an SDM for the European tree frog in the region of Franche-Comté (France). The results show that
the connectivity metrics improve the explanatory power of the SDM and emphasize the important role of the habitat network. 相似文献
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