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Habitat Suitability and Landscape Structure: A Maximum Entropy Approach in a Mediterranean Area

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  • Valerio Amici
  • Britta Eggers
  • Francesco Geri
  • Corrado Battisti

Abstract

Species distribution models have recently become important tools in ecological research. Prediction of suitable habitats for threatened and endangered species is essential for the conservation and management of their native habitats. A landscape scale approach is relevant for biodiversity conservation since landscape planning and management are generally conducted at wide spatial scales, focusing on areas with complex landscape configuration as a consequence of human activities. The aims of this study were to test a maximum entropy approach (Maxent) to the development of a niche-based model for species of conservation interest and to relate this model to landscape structure metrics. The results obtained here showed a good predictive power of Maxent for the three target species and highlighted the importance of landscape structure analysis for the detection of patterns of habitat suitability. Moreover, this work stressed that combining classical environmental information with landscape structure in analysing habitat suitability for species of conservation interest may be used to guide conservation efforts and landscape management practices .

Suggested Citation

  • Valerio Amici & Britta Eggers & Francesco Geri & Corrado Battisti, 2015. "Habitat Suitability and Landscape Structure: A Maximum Entropy Approach in a Mediterranean Area," Landscape Research, Taylor & Francis Journals, vol. 40(2), pages 208-225, February.
    • Handle: RePEc:taf:clarxx:v:40:y:2015:i:2:p:208-225
    DOI: 10.1080/01426397.2013.774329
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    1. Maurizio Biondi & Giovanna Corridore & Bernardino Romano & Giulio Tamburini & Pierantonio Tetè, 2003. "Evaluation and Planning Control of the Ecosystem Fragmentation Due to Urban Development," ERSA conference papers ersa03p15, European Regional Science Association.
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    Cited by:

    1. Ortner, Olivia & Wallentin, Gudrun, 2020. "Integration of landscape metric surfaces derived from vector data improves species distribution models," Ecological Modelling, Elsevier, vol. 431(C).

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