Marine Biodiversity and Ecosystem Functioning
EU Network of Excellence

 
Main Menu

· Home
· Contacts
· Data Systems
· Documents
· FAQ
· Links
· MarBEF Open Archive
· Network Description
· Outreach
· Photo Gallery
· Quality Assurance
· Register of Resources
· Research Projects
· Rules and Guidelines
· Training
· Wiki
· Worldconference

 

Register of Resources (RoR)

 People  |  Datasets  |  Literature  |  Institutes  |  Projects 

[ report an error in this record ]basket (0): add | show Print this page

Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept
Gutt, J.; Zurell, D.; Bracegridle, T.J.; Cheung, W.; Clark, M.S.; Convey, P.; Danis, B.; David, B.; De Broyer, C.; di Prisco, G.; Griffiths, H.; Laffont, R.; Peck, L.S.; Pierrat, B.; Riddle, M.J.; Saucede, T.; Turner, J.; Verde, C.; Wang, Z.M.; Grimm, V. (2012). Correlative and dynamic species distribution modelling for ecological predictions in the Antarctic: a cross-disciplinary concept. Pol. Res. 31: 1-23. dx.doi.org/10.3402/polar.v31i0.11091
In: Polar Research. Norsk Polarinstitutt = Norwegian Polar Institute: Oslo. ISSN 0800-0395; e-ISSN 1751-8369
Peer reviewed article  

Available in  Authors 

Author keywords
    Environmental change; integrative modelling framework; spatially andtemporally explicit modelling macroecology; biodiversity; habitatsuitability models

Authors  Top 
  • Gutt, J.
  • Zurell, D.
  • Bracegridle, T.J.
  • Cheung, W.
  • Clark, M.S.
  • Convey, P.
  • Danis, B., more
  • David, B.
  • De Broyer, C.
  • di Prisco, G.
  • Griffiths, H.
  • Laffont, R.
  • Peck, L.S.
  • Pierrat, B.
  • Riddle, M.J.
  • Saucede, T.
  • Turner, J.
  • Verde, C.
  • Wang, Z.M.
  • Grimm, V.

Abstract
    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.

All data in the Integrated Marine Information System (IMIS) is subject to the VLIZ privacy policy Top | Authors 


If any information here appears to be incorrect, please contact us
Back to Register of Resources
 
Quick links

MarBEF WIKI

Erasmus Mundus Master of Science in Marine Biodiversity and Conservation (EMBC)
Outreach

Science
Responsive Mode Programme (RMP) - Marie Nordstrom, copyright Aspden Rebecca

WoRMS
part of WoRMS logo

ERMS 2.0
Epinephelus marginatus Picture: JG Harmelin

EurOBIS

Geographic System

Datasets

 


Web site hosted and maintained by Flanders Marine Institute (VLIZ) - Contact data-at-marbef.org