Landscape connectivity analysis: new metrics that account for patch quality, neighbors’ attributes and robust connections

Petsas, Panagiotis; Almpanidou, Vasiliki; Mazaris, Antonios D.

doi:10.1007/s10980-021-01319-2

Cited by 16 publications

(8 citation statements)

References 50 publications

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“…As for a given patch p, the complexity weighted patch area always verifies CWA p ≤ A p , MESH CWA conserves the mathematical properties of MESH described by Jaeger (2000), such as low sensitivity to very small patches, or area-proportional additivity. Note that our approach is, to a certain extent, comparable to Petsas et al (2021) who transformed MESH into the weighted effective mesh size by weighting the area component of MESH with D, the component density. Nevertheless, because they used MESH as a connectivity index instead of a fragmentation index, the integration of D concerns patch components (i.e.…”

Section: Complexity Weighted Patch Area (Cwa) As a Measure Of Intrapa...mentioning

confidence: 91%

Refining intra-patch connectivity measures in landscape fragmentation and connectivity indices

Justeau‐Allaire

Ibanez

Vieilledent

et al. 2023

Preprint

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Context. Measuring intra-patch connectivity, i.e. the connectivity within a habitat patch, is important to evaluate landscape fragmentation and connectivity. However, intra-patch connectivity is mainly measured with patch size, which can conceal diverse intra-patch connectivity patterns for similar patch size distributions. Objectives. We suggest a method to refine the intra-patch connectivity component of fragmentation and connectivity indices. This method allows for distinguishing different intra-patch connectivity patterns for similar patch size distributions. Methods. We used normalized patch complexity indices to weight patch size in common fragmentation and connectivity indices. Patch complexity indices included two existing geometrical indices (SHAPE and FRAC), and a new index derived from spatial network analysis, the mean detour index (MDI). We analyzed the behaviours of adjusted fragmentation and connectivity indices theoretically and empirically on both artificial and real landscapes. Results. While maintaining the mathematical properties of fragmentation and connectivity indices, our method could distinguish landscapes with identical patch size distributions but different spatial configurations. The mean detour index had a different response than geometrical indices. This result indicates that, at the patch level, topological complexity can exhibit different patterns from geometrical complexity. Conclusions. Measuring intra-patch connectivity with patch size in fragmentation and connectivity indices cannot distinguish landscapes having similar patch sizes distribution but different spatial configurations. This paper introduces a method to distinguish such patterns relying on geometrical and topological indices and shows to which extent it can impact conservation planning.

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Section: Complexity Weighted Patch Area (Cwa) As a Measure Of Intrapa...mentioning

confidence: 91%

Refining intra-patch connectivity measures in landscape fragmentation and connectivity indices

Justeau‐Allaire

Ibanez

Vieilledent

et al. 2023

Preprint

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“…To identify the location of the future analogs of broader marine areas, we partitioned the ocean realm based on the Major Fishing Areas (MFAs) of the Food and Agriculture Organization (FAO) categorization. We used graph theory 63,64 to describe the properties of the climate connectivity among the MFA network. A graph consists of a set of nodes (here the MFAs), with links between them depicting the strength of their connection 63,64 .…”

Section: Methodsmentioning

confidence: 99%

“…We used graph theory 63,64 to describe the properties of the climate connectivity among the MFA network. A graph consists of a set of nodes (here the MFAs), with links between them depicting the strength of their connection 63,64 . This graph is directed, which means that considering two areas, namely A and B, the link from A to B is not necessarily equal to the link from B to A, depending on which area is considered as the present climate and which one is considered as its future analog.…”

Section: Methodsmentioning

confidence: 99%

Global patterns of sea surface climate connectivity for marine species

Petsas

Doxa

Almpanidou

et al. 2022

Commun Earth Environ

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A potential strategy for marine species to cope with warming oceans is to track areas with optimal thermal conditions and shift their spatial distributions. However, the ability of species to successfully reach these areas in the future depends on the length of the paths and their exposure to extreme climatic conditions. Here, we use model predictions of sea surface temperature changes to explore climate connectivity and potential trajectories of marine species to reach their optimal surface thermal analogs by the end of the century. We find that longer trajectories may be required for marine species of the northern than the southern oceans and that the former may be more exposed to extreme conditions than the latter. At key biodiversity hotspots, most future surface thermal analogs may be located in very remote areas, posing a significant challenge for local species to reach them. The new marine connectivity approach presented here could be used to inform future conservation policies.

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“…Landscape connectivity is a measure of the spatial continuity between ecological structural units [27,35]. In this research, the LCP index (Equation (1)) was selected to reflect the overall coherence between ecological components, the IIC (Equation ( 2)) was used to express the overall stability of the habitat, and the PC index (Equation ( 3)) was used to reflect the overall connectivity between blocks.…”

Section: Landscape Connectivity Assessmentmentioning

confidence: 99%

“…Research methods include the percentage of importance of omitted patches (PIOP) [23], the landscape mechanism model [24], the integrated valuation of ecosystem services and tradeoffs tools (InVEST) [25], morphological spatial pattern analysis (MSPA) [26], spatial priority [27] and minimum cumulative resistance (MCR) [28]. In certain areas, cross-ecosystem research has been carried out on mountains [29,30], urban agglomerations [31,32], watersheds [33,34], provincial areas [35,36], urban areas [37][38][39] and county areas [40,41] on the basis of landscape ecological construction theory centered on human social activities. Ecological planning theories focusing on maximizing multiple ecological values were adopted for research into land and marine planning [42,43], forest landscapes [44,45], ecosystem services change in an oasis [46], evaluation of ecologically sensitive areas [47], river bank buffering areas [48] and urban ecological landscapes [49][50][51].…”

Section: Introductionmentioning

confidence: 99%

Construction and Optimization of an Ecological Network in Zhengzhou Metropolitan Area, China

Huo

Shi

Zhu

et al. 2022

IJERPH

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Rapid urbanization aggravates issues related to protection and optimization of the ecological environment. Constructing an ecological network system, including ecological values in planning, and using landscape effects efficiently are important for adjusting regional ecological space and promoting local sustainable development. Land use data from eight time points between 1980 and 2020 in the Zhengzhou Metropolitan Area were used to identify the local ecological sources, corridors and nodes and to identify an ecological network with high structural integrity. The study used the FLUS, MSPA, MCR, and gravity models, hydrological analysis, and network structure evaluation by applying tools such as ArcGIS, Guidos Toolbox and Conefor. The results indicated that: (1) among the nine major ecological sources, those in the Yellow River Basin connected the large−scale sources in the east and west of the network, and the rest were located in the northeast, southeast and southwest of the research area, semi−enclosing the main urban area of Zhengzhou. (2) There were 163 least−cost paths and 58 ecological corridors, mainly distributed along the Yellow River Basin. (3) There were 70 ecological nodes, divided into 10 strategic, 27 natural ecological and 33 artificial environment nodes, distributed in key locations such as the core of each source and the intersection of corridors. (4) The ecological network included all the landscape elements in the research area and connected the main ecological substrates in a semi−enclosing network structure with one horizontal and two vertical corridors and four clusters.

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Landscape connectivity analysis: new metrics that account for patch quality, neighbors’ attributes and robust connections

Cited by 16 publications

References 50 publications

Refining intra-patch connectivity measures in landscape fragmentation and connectivity indices

Refining intra-patch connectivity measures in landscape fragmentation and connectivity indices

Global patterns of sea surface climate connectivity for marine species

Construction and Optimization of an Ecological Network in Zhengzhou Metropolitan Area, China

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