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Biodiversity and species interactions: extending Lotka-Volterra community theory

Wilson, W G ; Lundberg, Per LU ; Vazquez, D P ; Shurin, J B ; Smith, M D ; Langford, W ; Gross, K L and Mittelbach, G G (2003) In Ecology Letters 6(10). p.944-952
Abstract
A new analysis of the nearly century-old Lotka-Volterra theory allows us to link species interactions to biodiversity patterns, including: species abundance distributions, estimates of total community size, patterns of community invasibility, and predicted responses to disturbance. Based on a few restrictive assumptions about species interactions, our calculations require only that the community is sufficiently large to allow a mean-field approximation. We develop this analysis to show how an initial assemblage of species with varying interaction strengths is predicted to sort out into the final community based on the species' predicted target densities. The sorting process yields predictions of covarying patterns of species abundance,... (More)
A new analysis of the nearly century-old Lotka-Volterra theory allows us to link species interactions to biodiversity patterns, including: species abundance distributions, estimates of total community size, patterns of community invasibility, and predicted responses to disturbance. Based on a few restrictive assumptions about species interactions, our calculations require only that the community is sufficiently large to allow a mean-field approximation. We develop this analysis to show how an initial assemblage of species with varying interaction strengths is predicted to sort out into the final community based on the species' predicted target densities. The sorting process yields predictions of covarying patterns of species abundance, community size, and species interaction strengths. These predictions can be tested using enrichment experiments, examination of latitudinal and productivity gradients, and features of community assembly. (Less)
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author
; ; ; ; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Ecology Letters
volume
6
issue
10
pages
944 - 952
publisher
Wiley-Blackwell
external identifiers
  • wos:000185347800010
  • scopus:0141818183
ISSN
1461-023X
DOI
10.1046/j.1461-0248.2003.00521.x
language
English
LU publication?
yes
id
8a4f80de-4f68-4f1f-a98a-6766d8e85769 (old id 135446)
date added to LUP
2016-04-01 12:04:57
date last changed
2022-02-03 17:17:17
@article{8a4f80de-4f68-4f1f-a98a-6766d8e85769,
  abstract     = {{A new analysis of the nearly century-old Lotka-Volterra theory allows us to link species interactions to biodiversity patterns, including: species abundance distributions, estimates of total community size, patterns of community invasibility, and predicted responses to disturbance. Based on a few restrictive assumptions about species interactions, our calculations require only that the community is sufficiently large to allow a mean-field approximation. We develop this analysis to show how an initial assemblage of species with varying interaction strengths is predicted to sort out into the final community based on the species' predicted target densities. The sorting process yields predictions of covarying patterns of species abundance, community size, and species interaction strengths. These predictions can be tested using enrichment experiments, examination of latitudinal and productivity gradients, and features of community assembly.}},
  author       = {{Wilson, W G and Lundberg, Per and Vazquez, D P and Shurin, J B and Smith, M D and Langford, W and Gross, K L and Mittelbach, G G}},
  issn         = {{1461-023X}},
  language     = {{eng}},
  number       = {{10}},
  pages        = {{944--952}},
  publisher    = {{Wiley-Blackwell}},
  series       = {{Ecology Letters}},
  title        = {{Biodiversity and species interactions: extending Lotka-Volterra community theory}},
  url          = {{https://lup.lub.lu.se/search/files/2773486/624547.pdf}},
  doi          = {{10.1046/j.1461-0248.2003.00521.x}},
  volume       = {{6}},
  year         = {{2003}},
}