Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept

Gutt, Julian; Zurell, Damaris; Bracegirdle, Thomas J. ORCID: https://orcid.org/0000-0002-8868-4739; Cheung, William; Clark, Melody S. ORCID: https://orcid.org/0000-0002-3442-3824; Convey, Peter ORCID: https://orcid.org/0000-0001-8497-9903; Danis, Bruno; David, Bruno; De Broyer, Claude; Di Prisco, Guido; Griffiths, Huw ORCID: https://orcid.org/0000-0003-1764-223X; Laffont, Rémi; Peck, Lloyd S. ORCID: https://orcid.org/0000-0003-3479-6791; Pierrat, Benjamin; Riddle, Martin J.; Saucède, Thomas; Turner, John ORCID: https://orcid.org/0000-0002-6111-5122; Verde, Cinzia; Wang, Zhaomin ORCID: https://orcid.org/0000-0001-7103-6025; Grimm, Volker. 2012 Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. Polar Research, 31. 23, pp. https://doi.org/10.3402/polar.v31i0.11091

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Abstract/Summary

Developments of future scenarios of Antarctic ecosystems are still in their infancy, whilst predictions of the physical environment are recognized as being of global relevance and corresponding models are under continuous development. However, in the context of environmental change simulations of the future of the Antarctic biosphere are increasingly demanded by decision makers and the public, and are of fundamental scientific interest. This paper briefly reviews existing predictive models applied to Antarctic ecosystems before providing a conceptual framework for the further development of spatially and temporally explicit ecosystem models. The concept suggests how to improve approaches to relating species’ habitat description to the physical environment, for which a case study on sea urchins is presented. In addition, the concept integrates existing and new ideas to consider dynamic components, particularly information on the natural history of key species, from physiological experiments and biomolecular analyses. Thereby, we identify and critically discuss gaps in knowledge and methodological limitations. These refer to process understanding of biological complexity, the need for high spatial resolution oceanographic data from the entire water column, and the use of data from biomolecular analyses in support of such ecological approaches. Our goal is to motivate the research community to contribute data and knowledge to a holistic, Antarctic-specific, macroecological framework. Such a framework will facilitate the integration of theoretical and empirical work in Antarctica, improving our mechanistic understanding of this globally influential ecoregion, and supporting actions to secure this biodiversity hotspot and its ecosystem services.

Item Type:	Publication - Article
Digital Object Identifier (DOI):	https://doi.org/10.3402/polar.v31i0.11091
Programmes:	BAS Programmes > Polar Science for Planet Earth (2009 - ) > Climate BAS Programmes > Polar Science for Planet Earth (2009 - ) > Ecosystems BAS Programmes > Polar Science for Planet Earth (2009 - ) > Environmental Change and Evolution
ISSN:	0800-0395
Additional Keywords:	Environmental change, Integrative modelling framework, Biodiversity, Habitat suitability models
Date made live:	01 Jun 2012 08:43 +0 (UTC)
URI:	https://nora.nerc.ac.uk/id/eprint/18239

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