A software tool dedicated to the modelling of landscape networks

Foltête, Jean-Christophe; Clauzel, Céline; Vuidel, Gilles

doi:10.1016/j.envsoft.2012.07.002

Cited by 229 publications

(161 citation statements)

References 37 publications

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“…The indicators were computed using Conefor 2.6 (Saura and Torné 2009) based on the data charts exported from the Graphab 1.1 software package (Foltête, Clauzel and Vuidel 2012). Computations were made for inter-patch distances ranging from 100 to 20,000 m at 100 m intervals.…”

Section: Habitat Connectivity and Availabilitymentioning

confidence: 99%

“…This software computes the least-cost distances by using Dijkstra's algorithm (Foltête, Clauzel and Vuidel 2012). The movement cost was computed by adding up all of the cell costs within a connection.…”

Section: Computing Forest Patch Connectivitymentioning

confidence: 99%

“…The edge-to-edge inter-patch connections were computed using the Graphab 1.1 software package (Foltête, Clauzel and Vuidel 2012), which makes possible calculations across larger areas with a high raster resolution. This software computes the least-cost distances by using Dijkstra's algorithm (Foltête, Clauzel and Vuidel 2012).…”

Section: Computing Forest Patch Connectivitymentioning

confidence: 99%

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Forest Patch Connectivity: The Case of the Kranj–Sora Basin, Slovenia

Polenšek¹,

Pirnat²

2018

AGS

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This article features a spatial analysis of forest patches, trees, and shrubs outside forests in part of the Kranj–Sora Basin in central Slovenia. Forest patch connectivity is explored using methods derived from graph theory. The graph nodes represent the forest patches and the edges between them represent the shortest connections calculated using a raster layer containing data on the resistance of individual land-use types. The contribution of an individual forest patch to habitat connectivity and availability is calculated using selected indicators. The findings show that the largest forest patches complemented by smaller patches constitute the basic connectivity tool. Thus, habitat size and close-to-nature structure are vital for the conservation of species over short distances. In conclusion, guidelines are presented for managing and mitigating the effects of further clearing the remaining natural vegetation.

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Section: Habitat Connectivity and Availabilitymentioning

confidence: 99%

Section: Computing Forest Patch Connectivitymentioning

confidence: 99%

Section: Computing Forest Patch Connectivitymentioning

confidence: 99%

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Forest Patch Connectivity: The Case of the Kranj–Sora Basin, Slovenia

Polenšek¹,

Pirnat²

2018

AGS

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“…This interpretation advocates for a functional approach of landscape connectivity assessments rather than using connectivity measures that obviate species dispersal capabilities and/ or matrix permeability (i.e., structural connectivity; Taylor et al 2006, Kindlmann andBurel 2008). Hence, new improved connectivity methods have been recently developed that allow landscape connectivity pattern to be analyzed through graph theory indices, as well as from a species-specific (more functional) perspective by considering the dispersal capacity of species , Saura and Torné 2009, Saura and Rubio 2010, Foltête et al 2012. In addi-.…”

Section: Introductionmentioning

confidence: 99%

Woodland bird response to landscape connectivity in an agriculture-dominated landscape: a functional community approach

Gil‐Tena¹,

Nabucet²,

Mony³

et al. 2014

Community Ecology

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Over the last 30 years, ecological networks have been deployed to reduce global biodiversity loss by enhancing landscape connectivity. Bird species dwelling in woodland habitats that are embedded in agriculture-dominated landscapes are expected to be particularly sensitive to the loss of connectivity. This study aimed to determine the role of landscape connectivity in woodland bird species richness, abundance, and community similarity in north-east Brittany (north-west France). An exhaustive woodland selection protocol was carried out to minimize the effects of woodland size on the response variables. Connectivity of the woodland and forest network in the study area was evaluated using graph-theory, accounting for matrix permeability, and a characteristic median natal dispersal distance at the community level based on the bird species pool recorded in the sampled woodlands. Information-theoretic model selection, controlling for woodland size in all the cases, depicted the response of woodland birds at the community level to the connectivity of agriculture-dominated landscapes. On average, the sampled woodlands (n = 25) contained 15.5 ± 2.4 bird species, with an abundance of 25.1 ± 3.9, and had highly similar bird communities (species composition and proportion); eight species represented 57% of total abundance and were present in at least 22 woodlands. The performance of models improved when using effective, rather than Euclidean, interpatch distances in the connectivity assessment. Landscape connectivity was only significantly related to similarity of proportional species composition. Large woodlands contained communities with more similar species proportions in an inhospitable agricultural landscape matrix than in a more permeable one. Woodland size was the most relevant factor determining species abundance, indicating that the bird population sizes are primarily proportional to the local habitat availability. Connectivity in relation to landscape matrix permeability did not seem to induce the flow of woodland-dependent bird species that are dominant in the community but rather of matrix-dwelling bird species that are less dependent on woodland patch area. In conclusion, both habitat conservation and restoration (i.e., amount and quality), in combination with permeable landscape structures (such as heterogeneous land cover mosaics), are advocated for community level conservation strategies.

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“…Just as the role of the open software FRAGSTAT in the widespread (sometimes too much) applications of spatial pattern indices in landscape studies, many tools for the graph-based landscape analysis and simulation have emerged recently, such as Conefor Sensinode 2.2 (Saura andTorne, 2009), Circuitscape (McRae andShah, 2011), UNICOR (Landguth et al, 2011) and Graphab1.0 (Foltête et al, 2012). Along with the discussion on the methodology issues regarding the consistency, redundancy and complementation between different graph-based network indices (Saura, 2010), the uncertainty, bias, and data availability for the graphbased connectivity estimates (Kindlmann and Burel, 2008;Kupfer, 2012), and the mechanistic link between the network features and ecological functions, the studies of ′post-FRAGSTAT landscape′ are probably experiencing a paradigm shift to the framework of ′network-dispersal-connectivity′, and the consciousness and catching up with this paradigm shift is critical to the development of Chinese landscape ecology.…”

mentioning

confidence: 99%