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Selecting Graph Metrics with Ecological Significance for Deepening Landscape Characterization: Review and Applications

Author

Listed:
  • Felipe de la Barra

    (Faculty of Agronomy and Forest Engineering, Pontificia Universidad Católica de Chile, Santiago 7830436, Chile
    Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago 7830436, Chile)

  • Audrey Alignier

    (Unité Mixte de Recherche 0980 Biodiversité, Agroécologie et Aménagement du Paysage INRAE-ESA-Institut Agro, CEDEX, 35042 Rennes, France
    LTSER “Zone Atelier Armorique”, CEDEX, 35042 Rennes, France)

  • Sonia Reyes-Paecke

    (Faculty of Agronomy and Forest Engineering, Pontificia Universidad Católica de Chile, Santiago 7830436, Chile
    Center for Sustainable Urban Development, Pontificia Universidad Católica de Chile, Santiago 7830436, Chile)

  • Andrea Duane

    (Forest Science Centre of Catalonia (CTFC), 25280 Solsona-Lleida, Spain)

  • Marcelo D. Miranda

    (Faculty of Agronomy and Forest Engineering, Pontificia Universidad Católica de Chile, Santiago 7830436, Chile
    Center of Applied Ecology and Sustainability (CAPES), Pontificia Universidad Católica de Chile, Santiago 7830436, Chile)

Abstract

The usual approaches to describing and understanding ecological processes in a landscape use patch-mosaic models based on traditional landscape metrics. However, they do not consider that many of these processes cannot be observed without considering the multiple interactions between different land-use patches in the landscape. The objective of this research was to provide a synthetic overview of graph metrics that characterize landscapes based on patch-mosaic models and to analyze the ecological meaning of the metrics to propose a relevant selection explaining biodiversity patterns and ecological processes. First, we conducted a literature review of graph metrics applied in ecology. Second, a case study was used to explore the behavior of a group of selected graph metrics in actual differentiated landscapes located in a long-term socioecological research site in Brittany, France. Thirteen landscape-scale metrics and 10 local-scale metrics with ecological significance were analyzed. Metrics were grouped for landscape-scale and local-scale analysis. Many of the metrics were able to identify differences between the landscapes studied. Lastly, we discuss how graph metrics offer a new perspective for landscape analysis, describe the main characteristics related to their calculation and the type of information provided, and discuss their potential applications in different ecological contexts.

Suggested Citation

  • Felipe de la Barra & Audrey Alignier & Sonia Reyes-Paecke & Andrea Duane & Marcelo D. Miranda, 2022. "Selecting Graph Metrics with Ecological Significance for Deepening Landscape Characterization: Review and Applications," Land, MDPI, vol. 11(3), pages 1-21, February.
    • Handle: RePEc:gam:jlands:v:11:y:2022:i:3:p:338-:d:758128
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    References listed on IDEAS

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    1. Khosla, Nidhi & Marsteller, Jill Ann & Hsu, Yea Jen & Elliott, David L., 2016. "Analysing collaboration among HIV agencies through combining network theory and relational coordination," Social Science & Medicine, Elsevier, vol. 150(C), pages 85-94.
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