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Predicting suitable habitat for the European lobster (Homarus gammarus), on the Basque continental shelf (Bay of Biscay), using Ecological-Niche Factor Analysis

Author

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  • Galparsoro, Ibon
  • Borja, Ángel
  • Bald, Juan
  • Liria, Pedro
  • Chust, Guillem

Abstract

Predicting species distribution and habitat suitability (HS) modelling, across broad spatial scales, is now a major challenge in marine ecology. The resulting knowledge is of considerable use in supporting the implementation of environmental legislation, integrated coastal zone management and ecosystem-based fisheries management. This contribution considers the identification of seafloor morphological characteristics, together with wave energy conditions, that determine the presence of European lobster (Homarus gammarus); and it predicts suitable habitats over the Basque continental shelf (Bay of Biscay), in summer. The results obtained, by applying Ecological-Niche Factor Analysis (ENFA), indicate that lobster habitat differs considerably from the mean environmental condition over the study area; likewise, that it is restrictive in terms of the range of conditions in which they dwell. The best of the environmental predictors found to be: distance to the rock substrate; Benthic Position Index; wave flux over the seafloor; and the underlying bathymetry. A habitat suitability map was produced, with a high model quality (Boyce index: 0.98±0.06). The most suitable habitat for European lobster are locations at the boundary between sedimentary- and rocky-bottoms, coincident with seafloor depressions with a steep slope, with medium to high wave energy conditions, and located within a range of water depths of 35–40m. This approach demonstrates the applicability of the method in case studies where only presence data are available, together with the inclusion of environmental variables obtained from different sources.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:ecomod:v:220:y:2009:i:4:p:556-567
    DOI: 10.1016/j.ecolmodel.2008.11.003
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    1. Pittman, S.J. & Christensen, J.D. & Caldow, C. & Menza, C. & Monaco, M.E., 2007. "Predictive mapping of fish species richness across shallow-water seascapes in the Caribbean," Ecological Modelling, Elsevier, vol. 204(1), pages 9-21.
    2. 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.
    3. Skov, Henrik & Humphreys, Elizabeth & Garthe, Stefan & Geitner, Kerstin & Grémillet, David & Hamer, Keith C. & Hennicke, Janos & Parner, Hjalte & Wanless, Sarah, 2008. "Application of habitat suitability modelling to tracking data of marine animals as a means of analyzing their feeding habitats," Ecological Modelling, Elsevier, vol. 212(3), pages 504-512.
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    2. Watts, Michael J. & Li, Yuxiao & Russell, Bayden D. & Mellin, Camille & Connell, Sean D. & Fordham, Damien A., 2011. "A novel method for mapping reefs and subtidal rocky habitats using artificial neural networks," Ecological Modelling, Elsevier, vol. 222(15), pages 2606-2614.
    3. Melo-Merino, Sara M. & Reyes-Bonilla, Héctor & Lira-Noriega, Andrés, 2020. "Ecological niche models and species distribution models in marine environments: A literature review and spatial analysis of evidence," Ecological Modelling, Elsevier, vol. 415(C).
    4. Martín-García, Laura & González-Lorenzo, Gustavo & Brito-Izquierdo, Isabel T. & Barquín-Diez, Jacinto, 2013. "Use of topographic predictors for macrobenthic community mapping in the Marine Reserve of La Palma (Canary Islands, Spain)," Ecological Modelling, Elsevier, vol. 263(C), pages 19-31.
    5. Choi, Jong-Kuk & Oh, Hyun-Joo & Koo, Bon Joo & Ryu, Joo-Hyung & Lee, Saro, 2011. "Crustacean habitat potential mapping in a tidal flat using remote sensing and GIS," Ecological Modelling, Elsevier, vol. 222(8), pages 1522-1533.
    6. Caruso, N. & Guerisoli, M. & Luengos Vidal, E.M. & Castillo, D. & Casanave, E.B. & Lucherini, M., 2015. "Modelling the ecological niche of an endangered population of Puma concolor: First application of the GNESFA method to an elusive carnivore," Ecological Modelling, Elsevier, vol. 297(C), pages 11-19.

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