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Designing a graph-based approach to landscape ecological assessment of linear infrastructures

Abstract : The development of major linear infrastructures contributes to landscape fragmentation and impacts natural habitats and biodiversity in various ways. To anticipate and minimize such impacts, landscape planning needs to be capable of effective strategic environmental assessment (SEA) and of supporting environmental impact assessment (EIA) decisions. To this end, species distribution models (SDMs) are an effective way of making predictive maps of the presence of a given species. In this paper, we propose to combine SDMs and graph-based representation of landscape networks to integrate the potential long-distance effect of infra- structures on species distribution. A diachronic approach, comparing distribution before and after the linear infrastructure is constructed, leads to the design of a species distribution assessment (SDA), taking into ac- count population isolation. The SDA makes it possible (1) to estimate the local variation in probability of presence and (2) to characterize the impact of the infrastructure in terms of global variation in presence and of distance of disturbance. The method is illustrated by assessing the impact of the construction of a high-speed railway line on the distribution of several virtual species in Franche-Comté (France). The study shows the capacity of the SDA to characterize the impact of a linear infrastructure either as a research con- cern or as a spatial planning challenge. SDAs could be helpful in deciding among several scenarios for linear infrastructure routes or for the location of mitigation measures
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Contributor : Théoriser Et Modéliser Pour Aménager (umr 6049) Université de Bourgogne Franche-Comté <>
Submitted on : Wednesday, April 17, 2013 - 11:01:17 AM
Last modification on : Friday, December 20, 2019 - 12:34:02 PM




Xavier Girardet, Jean-Christophe Foltête, Céline Clauzel. Designing a graph-based approach to landscape ecological assessment of linear infrastructures. Environmental Impact Assessment Review, Elsevier, 2013, 42, pp.10-17. ⟨10.1016/j.eiar.2013.03.004⟩. ⟨hal-00814453⟩



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