Medical Journals

Modelling Species' Range Shifts in a Changing Climate: the Impacts of Biotic Interactions, Dispersal Distance and the Rate of Climate Change.

Authors:
  • Brooker Rob W
  • Travis Justin M J
  • Clark Ewen J
  • Dytham Calvin

From: The Macaulay Institute, Craigiebuckler, Aberdeen AB15 8QH, UK. r.brooker@macaulay.ac.uk

Journal of theoretical biology

  • Publish Date: Mar 2007
  • ISSN: 0022-5193
  • Volume: 245
  • Issue: 1
  • Pages: 59-65
  • Medium: Print
  • Language: English
  • Citation (JAMA): Brooker Rob W, Travis Justin M J, Clark Ewen J, et al. Modelling Species' Range Shifts in a Changing Climate: the Impacts of Biotic Interactions, Dispersal Distance and the Rate of Climate Change.. J. Theor. Biol. Mar 2007;245:59-65

Abstract

There is an urgent need for accurate prediction of climate change impacts on species ranges. Current reliance on bioclimatic envelope approaches ignores important biological processes such as interactions and dispersal. Although much debated, it is unclear how such processes might influence range shifting. Using individual-based modelling we show that interspecific interactions and dispersal ability interact with the rate of climate change to determine range-shifting dynamics in a simulated community with two growth forms — mutualists and competitors. Interactions determine spatial arrangements of species prior to the onset of rapid climate change. These lead to space-occupancy effects that limit the rate of expansion of the fast-growing competitors but which can be overcome by increased long-distance dispersal. As the rate of climate change increases, lower levels of long-distance dispersal can drive the mutualists to extinction, demonstrating the potential for subtle process balances, non-linear dynamics and abrupt changes from species coexistence to species loss during climate change.

Mesh Headings (Keywords): Animals, Behavior, Animal, Biodiversity, Climate, Competitive Behavior, Ecosystem, Environment, Models, Biological, Population Dynamics


Check for Full Text / PubMed Unique Identifier (PMID): 17087974


This abstract is part of PubMed, a service of the U.S. National Library of Medicine. PubMed includes more than 17 million citations from MEDLINE and other life science journals for biomedical articles. See Copyright and Disclaimers.

Linked medical terms appearing on this page are added by Healia to help readers find more information and are not part of the original PubMed document.

The data herein was last updated on July 8th, 2008 and may not reflect the most current and accurate data available from NLM.


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