A methodological framework for the use of landscape graphs in land-use planning

Foltête, Jean-Christophe; Girardet, Xavier; Clauzel, Céline

doi:10.1016/j.landurbplan.2013.12.012

Cited by 129 publications

(87 citation statements)

References 62 publications

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“…At the local scale, the analysis provides a more accurate assessment by identifying the most strategic cropland patches in the corridors for improving connectivity, which is based on the patch addition process developed by Foltête et al (2014) that identifies the best locations for new habitat patches. The process begins by computing a global metric that quantifies the connectivity of the initial network and then each cropland patch in the corridors is considered a new habitat patch, and the metric is computed again.…”

Section: Protocol For Evaluating the Effect Of Potential Reforestatiomentioning

confidence: 99%

Improving landscape connectivity for the Yunnan snub-nosed monkey through cropland reforestation using graph theory

Clauzel

Dai

et al. 2017

Journal for Nature Conservation

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, et al.. Improving landscape connectivity for the Yunnan snub-nosed monkey through cropland reforestation using graph theory. Journal for Nature Conservation, Elsevier, 2017Elsevier, , 38, pp.46 -55. 10.1016Elsevier, /j.jnc.2017 Journal for Nature Conservation 38 (2017) 46-55 http://dx.doi.org/10.1016/j.jnc.2017.06.002 Improving landscape connectivity for the Yunnan snub-nosed monkey through cropland reforestation using graph theory Abstract: Habitat fragmentation is a threat to biodiversity because it restricts the ability of animals to move. Maintaining landscape connectivity could promote connections between habitat patches, which is extremely important for the preservation of gene flow and population viability. This paper aims to evaluate the landscape connectivity of forest areas as it relates to the conservation of the Yunnan snub-nosed monkey (Rhinopithecus bieti), an emblematic and endemic endangered primate species. Specifically, this study seeks to model ways to improve connectivity via cropland reforestation scenarios which incorporate graph theory and genetic distances. The connectivity improvement assessment is performed at two nested scales.At the regional scale, the aim is to quantitatively assess the gain in connectivity from different reforestation scenarios, in which croplands are replaced by different kinds of forest habitats. At the local scale, the goal is to prioritize and to locate croplands based on the gain in connectivity that they would provide if they were reforested. The results indicate that the four reforestation scenarios have different impacts on connectivity; the fourth scenario, in which reforestation is accomplished with plant species that provide optimal monkey habitat, yields the greatest increase in connectivity (+24% versus less than +2% for the others). Prioritization of the 1482 cropland patches shows that the 10 best patches increase connectivity from 0.04% to 9.1% as the isolation threshold distance increases. This kind of graph theoretic approach appears to be a useful tool for connectivity assessment and the development of conservation measures for species impacted by human activities.

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Section: Protocol For Evaluating the Effect Of Potential Reforestatiomentioning

confidence: 99%

Improving landscape connectivity for the Yunnan snub-nosed monkey through cropland reforestation using graph theory

Clauzel

Dai

et al. 2017

Journal for Nature Conservation

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“…3c) (Table 3). The magnitude and percentage difference between these metrics can be used to assess the sensitivity of connectivity to the different scenarios (J.-C. Foltête et al, 2014;García-Feced, Saura, & Elena-Rosselló, 2011). Least-cost path analysis provides no indication of redundancy or potential alternative routes.…”

Section: Connectivity Modelling Scenario Assessment Methodsmentioning

confidence: 99%

“…1). The impact of different scenarios can be visualised qualitatively, as well as quantified using metrics such as patch-scale graph metrics, and landscape scale graph metrics (Clauzel, Girardet, & Foltête, 2013;J.-C. Foltête, Girardet, & Clauzel, 2014;Zetterberg, Mörtberg, & Balfors, 2010). The scale of impact assessment for land use planning ranges from regional assessments that identify critical wildlife corridors linking a region to local scale assessments such as for an environmental impact assessment that identify whether remnant vegetation found as paddock trees are critical for connecting two habitat patches.…”

Section: Introductionmentioning

confidence: 99%

From static connectivity modelling to scenario-based planning at local and regional scales

Lechner

Harris

Doerr

et al. 2015

Journal for Nature Conservation

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Despite the proliferation of connectivity modelling approaches, static models have limited usefulness for decision-making by policy-makers and land managers, particularly where significant changes in land uses might be expected into the future. This study presents a flexible, scenario-based approach for modelling fine-scaled connectivity using graph-theory with least-cost paths for modelling connectivity at the regional scale and Circuit theory at the local scale. The method allows for the assessment of a range of scenarios based on varying land use practices. Using the Lower Hunter region, Australia as a case study we tested five scenarios that describe the impact of different development choices on connectivity, ranging from high rates of urbanisation to revegetation of a designated green corridor. The changes in connectivity from the current state were assessed by visualising component boundaries and link locations and calculating patch-and landscape-scale graph metrics. In the Lower Hunter we found the green corridor scenario increased connectivity both visually and quantitatively as shown by a 105% increase in the integral index of connectivity (IIC) which measures habitat availability (reachability) at the landscape scale. While the urbanisation scenario resulted in a decrease in connectivity, with a 39% decrease in the IIC. The approach outlined in this paper is flexible, enabling a range of interests to be included, depending on the datasets available and the issues that need to be addressed. Such methods can be readily and rapidly applied by consultants or government agencies, in this region and elsewhere, to incorporate connectivity modelling into development plans.

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“…The identification of the best locations for potential wildlife crossings was based on a cumulative method developed by Foltête et al (2014) and Girardet et al (2016). The method consisted of testing each graph link crossed by the HSR line and to validate the one maximizing the global connectivity of the tree frog network.…”

Section: Landscape Graph Analysismentioning

confidence: 99%

“…From the global metric PC, a patch-based metric was derived, the PC flux (Foltête et al 2014), which is the contribution of each patch to the global PC index. For a given patch j, PC flux(j) is given by:…”

Section: Landscape Graph Analysismentioning

confidence: 99%

Evaluating and Mitigating the Impact of a High-Speed Railway on Connectivity: A Case Study with an Amphibian Species in France

Clauzel

2017

Railway Ecology

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The aim of this study is to evaluate and mitigate the impact of a high-speed railway (HSR) line on functional connectivity for the European tree frog (Hyla arborea), an amphibian species highly sensitive to habitat fragmentation. The method consists of modeling its ecological network using graph theory before and after the implementation of the infrastructure and of evaluating changes in connectivity. This diachronic analysis helps visualize the potential impact of the HSR line and to identify areas likely to be most affected by the infrastructure.

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A methodological framework for the use of landscape graphs in land-use planning

Cited by 129 publications

References 62 publications

Improving landscape connectivity for the Yunnan snub-nosed monkey through cropland reforestation using graph theory

Improving landscape connectivity for the Yunnan snub-nosed monkey through cropland reforestation using graph theory

From static connectivity modelling to scenario-based planning at local and regional scales

Evaluating and Mitigating the Impact of a High-Speed Railway on Connectivity: A Case Study with an Amphibian Species in France

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