Graphab: An application for modeling and managing ecological habitat networks

Foltête, Jean-Christophe; Vuidel, Gilles; Savary, Paul; Clauzel, Céline; Sahraoui, Yohan; Girardet, Xavier; Bourgeois, Marc

doi:10.1016/j.simpa.2021.100065

Cited by 41 publications

(18 citation statements)

References 69 publications

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“…The resistance values for each factor were weighted according to their relative importance and combined to produce a movement resistance surface. The path cost between habitat patches for species is the resistance distance weighted by the cumulative resistance value of all crossed cells 32 . LCP analysis identifies paths that minimize the cumulative cost between habitat patches, and that minimize the cumulative resistance of movement 68 .…”

Section: Landscape Resistance Surfacementioning

confidence: 99%

Current national nature reserves are insufficient to safeguard the long-term survival of wildlife in China

Bai,

Sun,

Zhao

et al. 2023

Preprint

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Enhancing the connectivity of protected areas (PAs) is a global consensus for conserving biodiversity. Yet, it is unclear whether habitats are sufficiently connected within PAs to efficiently protect wildlife populations for long-term survival. Using the perspective of functional connectivity, we evaluated the capacity and limiting factors of the 474 national nature reserves (NNRs) in China in protecting the long-term survival of wildlife populations in their internal habitats. We show that, in general, China's NNRs can effectively protect about one-half of the wildlife populations within PAs for long-term survival. However, they can only protect 25% bird and 13% terrestrial mammal populations with high motility. Areas of low conservation effectiveness are highly overlapped with PAs of small size and high intensity of human activity. Artificial landscapes such as roads and settlements, which account less than 2% area of the PAs, disproportionately cause nearly 40% of the connectivity loss. The results suggest that maintaining high levels of functional connectivity within PAs is as important as maintaining high connectivity in the national or global PA networks. Our findings have important implications for improving the management of PAs in China and beyond.

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Section: Landscape Resistance Surfacementioning

confidence: 99%

Current national nature reserves are insufficient to safeguard the long-term survival of wildlife in China

Bai,

Sun,

Zhao

et al. 2023

Preprint

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“…The non-empty vertex set contains vertices/vertex/node {V1, V2,V3,…Vn} E = The set of edges/lines/edges denoted by vertices {e1, e2, e3,…en} Graphic analysis was carried out to design a habitat connectivity model to make it easier to describe how landscapes can have an impact on living species and to support land use-related designs where biodiversity is an important consideration (Foltête, et al 2021). In this study, graphic analysis was carried out to analyze the connectivity network of forest ecosystems in Tesso Nilo National Park.…”

Section: Graphab Analysismentioning

confidence: 99%

<strong>The Influence of Land Cover Change Towards Connectivity Networks of Forest Ecosystem in Tesso Nilo National Park</strong>

Nasution,

Yunitasari,

Fauzan

et al. 2023

Preprint

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Tesso Nilo National Park is one of the protected areas designated as KPA by the Decree of the Minister of Forestry No.225/Menhut-II/2004 dated July 19, 2004 covering an area of 38,576 ha, then expanded again through the Decree of the Minister of Forestry No.663/Menhut/2009 dated 19 October 2009 with an area of ± 83,068 ha. The Tesso Nilo National Park area is experiencing the dynamics of land cover changes, namely the conversion of forest land which causes the forest area to become increasingly narrow in this area. With the reduction in forest area in this area, it causes a decrease in ecosystem network connectivity due to forest fragmentation that occurs, so that forests are separated and further apart. This study aims to analyze changes in land cover in the Tesso Nilo National Park area to find out information on changes in habitat ecosystems in the last 20 years. the observations were made using satellite images in 1999, 2010 and 2019. so that it can be seen the effect of forest fragmentation on ecosystems in the Tesso Nilo National Park area. From the results of the analysis, it was found that the area of forest cover in the Tesso Nilo National Park decreased from 1999 to 2019 and caused changes in the connectivity network of forest ecosystems, which was found in the study, the weakest connectivity separated forest fragments as far as 17394.47 meters due to forest cover fragmentation.

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“…High-priority control areas were identified as those within the top 5% of CFBC derived at the most significant scale relating nutria genetic diversity with habitat connectivity. Habitat network analyses were conducted using Graphab v2.6.1 software [65]. ArcGIS v10.4.1 software was used for mapping [66] and IBM SPSS Statistics 25 [67] to perform correlation tests.…”

Section: Plos Onementioning

confidence: 99%

Habitat suitability and connectivity modeling predict genetic population structure and priority control areas for invasive nutria (Myocastor coypus) in a temperate river basin

2022

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The nutria (Myocastor coypus), also known as the coypu, is a semi-aquatic, invasive rodent native to South America that causes damage to natural riverine and wetland habitats in many parts of the world, including South Korea. Understanding habitat use, connectivity, and gene flow of nutria populations is critical for the sound management of local and regional ecosystems. Here, we assessed habitat suitability and connectivity in relation to the genetic structure of nutria populations in the Nakdong River Basin of South Korea. A total of 321 nutria occurrence sites and seven environmental variables were used to perform ensemble habitat suitability modeling using five species distribution models (SDMs), including boosted regression trees, maximum entropy model, random forest, generalized linear model, and multivariate adaptive regression splines. Using graph and circuit theory approaches, we assessed the population gene flow and current flow betweenness centrality (CFBC) of suitable habitats derived from the ensemble SDM. All SDMs performed well with a range of test AUC values from 0.962 to 0.970 (mean = 0.966) with true skill statistic values over 0.8. The minimum temperature of the coldest month, mean temperature of the warmest quarter, precipitation of the driest quarter, and distance from water bodies were important predictors in nutria habitat modeling. Nutria population gene flow was significantly correlated with the least-cost path distance on a cost resistance surface based on ensemble habitat suitability modeling and roads (Mantel’s r = 0.60, p < 0.05). Finally, the CFBC positively correlated with the genetic diversity of nutria populations was used to identify priority control areas. Habitat suitability and connectivity modeling not only revealed environmental conditions and areas that support the survival and spread of nutrias, but also improved our understanding of the animals’ genetic population structure, thereby indicating priority areas to target for eradication.

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Graphab: An application for modeling and managing ecological habitat networks

Cited by 41 publications

References 69 publications

Current national nature reserves are insufficient to safeguard the long-term survival of wildlife in China

Current national nature reserves are insufficient to safeguard the long-term survival of wildlife in China

<strong>The Influence of Land Cover Change Towards Connectivity Networks of Forest Ecosystem in Tesso Nilo National Park</strong>

Habitat suitability and connectivity modeling predict genetic population structure and priority control areas for invasive nutria (Myocastor coypus) in a temperate river basin

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