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Living on the edge—Modelling habitat suitability for species at the edge of their fundamental niche

Author

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  • Braunisch, Veronika
  • Bollmann, Kurt
  • Graf, Roland F.
  • Hirzel, Alexandre H.

Abstract

Predictive species distribution models have become increasingly common in conservation management. Among them, envelope-based approaches like the Ecological Niche Factor Analysis (ENFA) are particularly advantageous, as they require only presence data. Based on the assumption that the absolute frequency of species presence is a direct indicator of habitat suitability (HS), habitat suitability indices (HSI) are computed. However, this assumption may be misleading when the scarcity of optimal habitat forces most of the individuals to live in suboptimal conditions. This often happens when the environmental conditions in the study area represent only a marginal part of the species fundamental niche.

Suggested Citation

  • Braunisch, Veronika & Bollmann, Kurt & Graf, Roland F. & Hirzel, Alexandre H., 2008. "Living on the edge—Modelling habitat suitability for species at the edge of their fundamental niche," Ecological Modelling, Elsevier, vol. 214(2), pages 153-167.
    • Handle: RePEc:eee:ecomod:v:214:y:2008:i:2:p:153-167
    DOI: 10.1016/j.ecolmodel.2008.02.001
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    1. Unknown, 2003. "Die Lage der Weltwirtschaft und der deutschen Wirtschaft im Fruhjahr 2003," Report Series 26058, Hamburg Institute of International Economics.
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    1. Galparsoro, Ibon & Borja, Ángel & Bald, Juan & Liria, Pedro & Chust, Guillem, 2009. "Predicting suitable habitat for the European lobster (Homarus gammarus), on the Basque continental shelf (Bay of Biscay), using Ecological-Niche Factor Analysis," Ecological Modelling, Elsevier, vol. 220(4), pages 556-567.
    2. Imam, Ekwal & Kushwaha, S.P.S. & Singh, Aditya, 2009. "Evaluation of suitable tiger habitat in Chandoli National Park, India, using spatial modelling of environmental variables," Ecological Modelling, Elsevier, vol. 220(24), pages 3621-3629.

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