Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept.
International audience 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 c...
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Online Access: | https://doi.org/10.3402/polar.v31i0.11091 https://hal.archives-ouvertes.fr/hal-00694905 |
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fttriple:oai:gotriple.eu:10670/1.j4t2fp 2023-05-15T13:57:43+02:00 Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. Gutt, Julian Zurell, Damaris Bracegridle, Thomas J. Cheung, William Clark, Melody S. Convey, Peter Danis, Bruno DAVID, Bruno De Broyer, Claude Di Prisco, Guido Griffiths, Huw J. Laffont, Rémi Peck, Lloyd S. Pierrat, Benjamin Riddle, Martin J. Saucède, Thomas Turner, John Verde, Cinzia Wang, Zhaomin Grimm, Volker Department of Bentho-pelagic processes Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) Institute of Earth and Environmental Science Potsdam University of Potsdam British Antarctic Survey (BAS) Natural Environment Research Council (NERC) Fisheries Centre University of British Columbia (UBC) Antarctic biodiversity information facility Royal Belgian Institute of Natural Sciences (RBINS) Biogéosciences UMR 6282 Dijon (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Department of Invertebrates Institute of Protein Biochemistry National Research Council Italy (CNR) Australian Antarctic Division (AAD) Australian Government, Department of the Environment and Energy Department of Ecological Modelling UFZ Leipzig Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ) 2012-05-04 https://doi.org/10.3402/polar.v31i0.11091 https://hal.archives-ouvertes.fr/hal-00694905 en eng HAL CCSD Co-Action Publishing hal-00694905 doi:10.3402/polar.v31i0.11091 10670/1.j4t2fp https://hal.archives-ouvertes.fr/hal-00694905 undefined Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0800-0395 EISSN: 1751-8369 Polar Research Polar Research, Co-Action Publishing, 2012, 31, pp.11091. ⟨10.3402/polar.v31i0.11091⟩ Environmental change integrative modelling framework spatially and temporally explicit modelling macroecology biodiversity habitat suitability models geo envir Journal Article https://vocabularies.coar-repositories.org/resource_types/c_6501/ 2012 fttriple https://doi.org/10.3402/polar.v31i0.11091 2023-01-22T16:42:45Z International audience 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. 27 pages Article in Journal/Newspaper Antarc* Antarctic Antarctica Polar Research Unknown Antarctic The Antarctic Polar Research 31 1 11091 |
institution |
Open Polar |
collection |
Unknown |
op_collection_id |
fttriple |
language |
English |
topic |
Environmental change integrative modelling framework spatially and temporally explicit modelling macroecology biodiversity habitat suitability models geo envir |
spellingShingle |
Environmental change integrative modelling framework spatially and temporally explicit modelling macroecology biodiversity habitat suitability models geo envir Gutt, Julian Zurell, Damaris Bracegridle, Thomas J. Cheung, William Clark, Melody S. Convey, Peter Danis, Bruno DAVID, Bruno De Broyer, Claude Di Prisco, Guido Griffiths, Huw J. Laffont, Rémi Peck, Lloyd S. Pierrat, Benjamin Riddle, Martin J. Saucède, Thomas Turner, John Verde, Cinzia Wang, Zhaomin Grimm, Volker Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. |
topic_facet |
Environmental change integrative modelling framework spatially and temporally explicit modelling macroecology biodiversity habitat suitability models geo envir |
description |
International audience 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. 27 pages |
author2 |
Department of Bentho-pelagic processes Alfred-Wegener-Institut, Helmholtz-Zentrum für Polar- und Meeresforschung (AWI) Institute of Earth and Environmental Science Potsdam University of Potsdam British Antarctic Survey (BAS) Natural Environment Research Council (NERC) Fisheries Centre University of British Columbia (UBC) Antarctic biodiversity information facility Royal Belgian Institute of Natural Sciences (RBINS) Biogéosciences UMR 6282 Dijon (BGS) Université de Bourgogne (UB)-Centre National de la Recherche Scientifique (CNRS) Department of Invertebrates Institute of Protein Biochemistry National Research Council Italy (CNR) Australian Antarctic Division (AAD) Australian Government, Department of the Environment and Energy Department of Ecological Modelling UFZ Leipzig Helmholtz Zentrum für Umweltforschung = Helmholtz Centre for Environmental Research (UFZ) |
format |
Article in Journal/Newspaper |
author |
Gutt, Julian Zurell, Damaris Bracegridle, Thomas J. Cheung, William Clark, Melody S. Convey, Peter Danis, Bruno DAVID, Bruno De Broyer, Claude Di Prisco, Guido Griffiths, Huw J. Laffont, Rémi Peck, Lloyd S. Pierrat, Benjamin Riddle, Martin J. Saucède, Thomas Turner, John Verde, Cinzia Wang, Zhaomin Grimm, Volker |
author_facet |
Gutt, Julian Zurell, Damaris Bracegridle, Thomas J. Cheung, William Clark, Melody S. Convey, Peter Danis, Bruno DAVID, Bruno De Broyer, Claude Di Prisco, Guido Griffiths, Huw J. Laffont, Rémi Peck, Lloyd S. Pierrat, Benjamin Riddle, Martin J. Saucède, Thomas Turner, John Verde, Cinzia Wang, Zhaomin Grimm, Volker |
author_sort |
Gutt, Julian |
title |
Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. |
title_short |
Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. |
title_full |
Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. |
title_fullStr |
Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. |
title_full_unstemmed |
Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. |
title_sort |
correlative and dynamic species distribution modelling for ecological predictions in the antarctic: a cross-disciplinary concept. |
publisher |
HAL CCSD |
publishDate |
2012 |
url |
https://doi.org/10.3402/polar.v31i0.11091 https://hal.archives-ouvertes.fr/hal-00694905 |
geographic |
Antarctic The Antarctic |
geographic_facet |
Antarctic The Antarctic |
genre |
Antarc* Antarctic Antarctica Polar Research |
genre_facet |
Antarc* Antarctic Antarctica Polar Research |
op_source |
Hyper Article en Ligne - Sciences de l'Homme et de la Société ISSN: 0800-0395 EISSN: 1751-8369 Polar Research Polar Research, Co-Action Publishing, 2012, 31, pp.11091. ⟨10.3402/polar.v31i0.11091⟩ |
op_relation |
hal-00694905 doi:10.3402/polar.v31i0.11091 10670/1.j4t2fp https://hal.archives-ouvertes.fr/hal-00694905 |
op_rights |
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op_doi |
https://doi.org/10.3402/polar.v31i0.11091 |
container_title |
Polar Research |
container_volume |
31 |
container_issue |
1 |
container_start_page |
11091 |
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1766265544695087104 |