Header

UZH-Logo

Maintenance Infos

Testing for local species saturation with nonindependent regional species pools


Fox, Jeremy W; McGrady-Steed, Jill; Petchey, Owen L (2000). Testing for local species saturation with nonindependent regional species pools. Ecology Letters, 3(3):198-206.

Abstract

Identifying the factors controlling local community structure is a central problem in ecology. Ecologists frequently use regression to test fur a nonlinear saturating relationship between local community richness and regional species pool richness, suggesting that species interactions limit the number of locally coexisting species. However, communities in different regions are not independent if regions share species. We present a Monte Carlo test for whether an observed local-regional richness relationship is significantly different from that expected when regions are nonindependent and species interactions do not limit community membership. We illustrate this test with data from experimental microcosm communities. A conventional F-test suggests a significant saturating relationship between realized community richness and species pool richness. However, the Monte Carlo test fails to reject the null hypothesis that species interactions do not affect community richness. Strong species interactions do not necessarily set an absolute upper limit to the number of locally coexisting species.

Abstract

Identifying the factors controlling local community structure is a central problem in ecology. Ecologists frequently use regression to test fur a nonlinear saturating relationship between local community richness and regional species pool richness, suggesting that species interactions limit the number of locally coexisting species. However, communities in different regions are not independent if regions share species. We present a Monte Carlo test for whether an observed local-regional richness relationship is significantly different from that expected when regions are nonindependent and species interactions do not limit community membership. We illustrate this test with data from experimental microcosm communities. A conventional F-test suggests a significant saturating relationship between realized community richness and species pool richness. However, the Monte Carlo test fails to reject the null hypothesis that species interactions do not affect community richness. Strong species interactions do not necessarily set an absolute upper limit to the number of locally coexisting species.

Statistics

Citations

28 citations in Web of Science®
31 citations in Scopus®
Google Scholar™

Altmetrics

Downloads

3 downloads since deposited on 10 Jul 2012
0 downloads since 12 months
Detailed statistics

Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:07 Faculty of Science > Institute of Evolutionary Biology and Environmental Studies
Dewey Decimal Classification:570 Life sciences; biology
590 Animals (Zoology)
Language:English
Date:2000
Deposited On:10 Jul 2012 13:43
Last Modified:07 Dec 2017 14:32
Publisher:Wiley-Blackwell
ISSN:1461-023X
Publisher DOI:https://doi.org/10.1046/j.1461-0248.2000.00147.x

Download