Community Ecology
Volume/Issue:
Volume 1: Issue 1
Is the number of tree species in small tropical forest plots nonrandom?
Authors:
M. W. Palmer Department of Botany, Oklahoma State University Stillwater, Oklahoma, USA 74078

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D. B. Clark University of Missouri-St. Louis St. Louis, Missouri, USA, and La Selva Biological Station, Costa Rica

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D. A. Clark University of Missouri-St. Louis St. Louis, Missouri, USA, and La Selva Biological Station, Costa Rica

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Pages:
95–101
Online Publication Date:
26 Jan 2006
Publication Date:
01 Jul 2000
Article Category:
Journal Article
DOI:
https://doi.org/10.1556/comec.1.2000.1.13
Keywords:
Species richness; Species richness; Species richness; Randomization test; Costa Rica; Generalized linear models; La Selva Biological Station; Rarefaction effect; Tropical rainforest
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Tree species richness is remarkably high in many tropical forests, even at very fine spatial scales. However, the study of fine-scale richness is complicated by the rarefaction effect: that is, a trivial correlation between the number of individuals and the number of species. We developed null models to test whether fine-scale species richness differs from random expectation, and applied these models to a dataset of 1170 100 m2circular plots in the old-growth portion of La Selva Biological Station in the Atlantic Lowlands of Costa Rica. Although species richness in these plots was close to its theoretical maximum, we found that it was frequently lower than null expectation. This was a result of slightly clumped distributions within species. We found no relationships between species richness at the 100 m2scale and soil type or topography, after accounting for the effects of density

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Cover Community Ecology
Community Ecology An Interdisciplinary Journal Reporting Progress in Community and Population Studies
Print ISSN:
1585-8553
Online ISSN:
1588-2756

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Community Ecology
Language English
Size A4
Year of
Foundation		 2000
Volumes
per Year		 1
Issues
per Year		 3
Founder Akadémiai Kiadó
Founder's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245
Publisher Akadémiai Kiadó
Springer Nature Switzerland AG
Publisher's
Address		 H-1117 Budapest, Hungary 1516 Budapest, PO Box 245.
CH-6330 Cham, Switzerland Gewerbestrasse 11.
Responsible
Publisher		 Chief Executive Officer, Akadémiai Kiadó
ISSN 1585-8553 (Print)
ISSN 1588-2756 (Online)

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