Access

You are not currently logged in.

Access your personal account or get JSTOR access through your library or other institution:

login

Log in to your personal account or through your institution.

If You Use a Screen Reader

This content is available through Read Online (Free) program, which relies on page scans. Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.

Modeling the Determinants of Species Distributions in Antarctica

Andrew D. Kennedy
Arctic, Antarctic, and Alpine Research
Vol. 31, No. 3 (Aug., 1999), pp. 230-241
DOI: 10.2307/1552251
Stable URL: http://www.jstor.org/stable/1552251
Page Count: 12
  • Read Online (Free)
  • Subscribe ($19.50)
  • Cite this Item
Since scans are not currently available to screen readers, please contact JSTOR User Support for access. We'll provide a PDF copy for your screen reader.
Modeling the Determinants of Species Distributions in Antarctica
Preview not available

Abstract

Considered from a functional ecological perspective, Antarctica's present-day terrestrial biota is the product of two sets of limiting factors: the continent's isolation from sources of immigrant propagules and the severe environmental stresses to which successful immigrants are exposed. The result is a low-diversity community composed almost entirely of stress-tolerant cryptogams, microarthropods, meiofauna, and microbes. In this paper a conceptual model is proposed that reduces the action of geographical isolation and environmental factors into a series of selection filters. It is argued that the low number of parameterizations needed to represent organism-environment interactions in Antarctica renders the simulation of macroscale patterns of species distributions a tractable proposition. Significantly, biotic interactions of the type that determine community structure at lower latitudes may be discounted. However, stochastic factors represent a source of "noise" that potentially reduce the model's predictive capability.

Page Thumbnails

  • Thumbnail: Page 
230
    230
  • Thumbnail: Page 
231
    231
  • Thumbnail: Page 
232
    232
  • Thumbnail: Page 
233
    233
  • Thumbnail: Page 
234
    234
  • Thumbnail: Page 
235
    235
  • Thumbnail: Page 
236
    236
  • Thumbnail: Page 
237
    237
  • Thumbnail: Page 
238
    238
  • Thumbnail: Page 
239
    239
  • Thumbnail: Page 
240
    240
  • Thumbnail: Page 
241
    241