An ex-post evaluation approach to assess the impacts of accomplished urban structure shift on landscape connectivity

Huang, Junlong; He, Jifeng; Liu, Dianfeng; Chun, Li; Qian, Jing

doi:10.1016/j.scitotenv.2017.12.094

Cited by 30 publications

(12 citation statements)

References 51 publications

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“…Sometimes, losses in biodiversity are also observed. Secondly, since Huang et al (2018b) demonstrated that connectivity decline due to the urban structure shift is not inevitable provided that the ecological network is considered in land-use planning, our approach defines the most suitable location for the reduction measures required to improve the overall amount of reachable habitat.…”

Section: Discussionmentioning

confidence: 99%

Maximizing habitat connectivity in the mitigation hierarchy. A case study on three terrestrial mammals in an urban environment

Tarabon

Bergès

Dutoit

et al. 2019

Journal of Environmental Management

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Environmental policies and the objective of no net loss highlight the importance of preserving ecological networks to limit the fragmentation of natural habitats and biodiversity loss, especially due to urbanization. In the environmental impact assessment context, habitat connectivity and the spatio-temporal dynamics of biodiversity are crucial to obtaining reliable predictions that can support decision-making. We propose a methodological framework 1) to quantify the overall impact of a development project on the functioning of an ecological network, and 2) to select the best locations for implanting new habitat patches intended to enhance landscape connectivity. The amount of reachable habitat concept was applied to three representative terrestrial mammal species: the red squirrel, the Eurasian badger and the European hedgehog. All three species are recognized as vulnerable to human pressures and potentially affected by the construction of a new stadium in our study site, Lyon (Southern France). The method combines the species distribution model Maxent with the landscape functional connectivity model Graphab. The results showed that using any one of the avoidance and reduction measures on its own was unsuccessful in achieving the objective of no net loss when habitat connectivity is considered. However, the combination of new habitat patches and corridors offered a higher gain than distinct measures. This is especially important in the short term, when new hedgerow plantations have not yet developed enough to be used by the target species. Our findings indicate, first, the need to take the temporal scale into account in environmental impact assessment. We also show that applying the optimal scenario, constructed using a cumulative patch addition followed by a similar process testing a set of potential land-use changes, maximizes habitat connectivity. Our methodology provides a useful tool to increase target species' habitat connectivity within the mitigation hierarchy and to enhance development project design for increased environmental efficiency.

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Section: Discussionmentioning

confidence: 99%

Maximizing habitat connectivity in the mitigation hierarchy. A case study on three terrestrial mammals in an urban environment

Tarabon

Bergès

Dutoit

et al. 2019

Journal of Environmental Management

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“…Among these 7 studies, two studies were focused on mammal and reptile-amphibian species(Chaput-Bardy et al, 2017; Drake et al, 2017), two studies on mammal and bird species(J. Huang et al, 2018;Martensen et al, 2017), one study on mammal and plant species (Ruppert et al, 2016), one study on reptile-amphibian and bird species (Pietsch, 2018), and one study on plant and insect species (Corro et al, 2019). Of all the studies reviewed, 4.38% were focused on 3 species.…”

Section: Indexes Employed Indexesmentioning

confidence: 99%

The Review of Ecological Network Indicators in Graph Theory Context: 2014-2019

Darabi¹,

Hashemi²,

Lotfi³

2021

Preprint

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Ecological Network Analysis (ENA) capability has led to develop a set of indicators. Ecological Network Indicators (ENIs) investigates a range of subject in different context “e.g. Graph theory”, which is the origin of variety of questions such as following: What is the geographical distribution of studies and their relationship with each other? On what fields these studies are focused? What graph-based index or indexes have been used in the studies of ecological networks? What are the most widely used indexes in ecological studies? Accordingly, this study is to investigate the related literature between 2014 and 2019 in the framework of graph theory. To answer the mentioned question, we conducted systematic literature review. To find as many potentially eligible articles as possible, the search was performed multiple times using diverse related keywords. We identified 456 related records. After the screening process, 114 articles were left as the basis of further analysis. The results indicate that ENA applied mainly in China, USA, France. ENIs is studied more frequently among plants and mammals. We identified about 58 ENIs. But the Probability of Connectivity (PC), Integral index of connectivity (IIC) have been consistently used in most studies. Also, these two indices are used in combination with others ENIs. The outcomes show researchers introduce new indexes every year. The increasing trend of introducing new indicators shows the usability and applicability ENIs. But so far, PC, IIC, and LCP seem to be the most credible graph-based indexes for use in ecological network research. The overall results imply that graph theory as base of ecological network is developing, presents new indicators and opening new dimensions in the study and analysis of connections and communications in ecological networks. It has adequate flexibility to answer questions that may arise in the future in the field of ecological network analysis.

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“…(1,240 km²), we restricted our connectivity analysis according to the spatial configuration of the landscape graph and to the dispersal capacity of the focal species (Huang et al, 2018), i.e. to 6 km either side of the development project (144 km²), a scale that is beyond the maximum dispersal distance of both studied species (2 km and 5 km).…”

Section: Step 2: Connectivity Analysis and Assessment Of Node And Linmentioning

confidence: 99%

“…Ensuring functional connectivity within landscapes has been identified as a key component for biodiversity conservation (Newbold et al, 2015). Huang et al (2018) demonstrated that urban development will not necessarily cause a connectivity decline, provided the ecological network is incorporated into land-use planning.…”

Section: Introductionmentioning

confidence: 99%

Environmental impact assessment of development projects improved by merging species distribution and habitat connectivity modelling

Tarabon

Bergès

Dutoit

et al. 2019

Journal of Environmental Management

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Francis Isselin-Nondedeu. Environmental impact assessment of development projects improved by merging species distribution and habitat connectivity modelling. Journal of Environmental Management, Elsevier, 2019, 241, pp. AbstractEnvironmental impact assessment (EIA) is performed to limit potential impacts of development projects on species and ecosystem functions. However, the methods related to EIA actually pay little attention to the landscape-scale effects of development projects on biodiversity. In this study we proposed a methodological framework to more properly address the landscape-scale impacts of a new stadium project in Lyon (France) on two representative mammal species exemplary for the endemic fauna, the red squirrel and the Eurasian badger. Our approach combined species distribution model using Maxent and landscape functional connectivity model using Graphab at two spatial scales to assess habitat connectivity before and after development project implementation. The development project had a negative impact on landscape connectivity: overall habitat connectivity (PC index) decreased by -6.8% and -1.8% and the number of graph components increased by +60.0% and +17.6% for the red squirrel and the European badger respectively, because some links that formerly connected habitat patches were cut by the development project. Changes affecting landscape structure and composition emphasized the need to implement appropriate avoidance and reduction measures. Our methodology provides a useful tool both for EIA studies at each step of the way to support decision-making in landscape conservation planning. The method could be also developed in the design phase to compare the effectiveness of different avoidance or mitigation measures and resize them if necessary to maximize habitat connectivity.

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An ex-post evaluation approach to assess the impacts of accomplished urban structure shift on landscape connectivity

Cited by 30 publications

References 51 publications

Maximizing habitat connectivity in the mitigation hierarchy. A case study on three terrestrial mammals in an urban environment

Maximizing habitat connectivity in the mitigation hierarchy. A case study on three terrestrial mammals in an urban environment

The Review of Ecological Network Indicators in Graph Theory Context: 2014-2019

Environmental impact assessment of development projects improved by merging species distribution and habitat connectivity modelling

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