Artigo Revisado por pares

PLANT COMPETITION VARIES WITH COMMUNITY COMPOSITION IN AN EDAPHICALLY COMPLEX LANDSCAPE

2007; Wiley; Volume: 88; Issue: 10 Linguagem: Inglês

10.1890/06-1155.1

ISSN

1939-9170

Autores

Sarah C. Elmendorf, Kara A. Moore,

Tópico(s)

Plant Parasitism and Resistance

Resumo

EcologyVolume 88, Issue 10 p. 2640-2650 Article PLANT COMPETITION VARIES WITH COMMUNITY COMPOSITION IN AN EDAPHICALLY COMPLEX LANDSCAPE Sarah C. Elmendorf, Corresponding Author Sarah C. Elmendorf [email protected] Graduate Group in Ecology, Department of Environmental Science and Policy, University of California, One Shields Avenue, Davis, California 95616 USA E-mail: [email protected]Search for more papers by this authorKara A. Moore, Kara A. Moore Graduate Group in Ecology, Department of Environmental Science and Policy, University of California, One Shields Avenue, Davis, California 95616 USASearch for more papers by this author Sarah C. Elmendorf, Corresponding Author Sarah C. Elmendorf [email protected] Graduate Group in Ecology, Department of Environmental Science and Policy, University of California, One Shields Avenue, Davis, California 95616 USA E-mail: [email protected]Search for more papers by this authorKara A. Moore, Kara A. Moore Graduate Group in Ecology, Department of Environmental Science and Policy, University of California, One Shields Avenue, Davis, California 95616 USASearch for more papers by this author First published: 01 October 2007 https://doi.org/10.1890/06-1155.1Citations: 25Read the full textAboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onEmailFacebookTwitterLinkedInRedditWechat Abstract There is currently no consensus on how physical and biological factors affect competitive intensity. Tests of whether competitive intensity varies along axes of environmental change have commonly been conducted in systems with a single strong environmental gradient, such as productivity, a soil resource, or an environmental stress. Frequently, these same axes are associated with changes in species composition, yet few studies have asked whether shifts in the identity of competitors affect competitive intensity. We ask whether resources (nutrients, water), stressors (heavy metals, Ca:Mg ratio), productivity (aboveground biomass), or species identity (an ordination axis of plant community composition) were the best predictors of the intensity of competition in a heterogeneous grassland landscape that included multiple independent environmental gradients. The reproductive fitness of six annual plant species was measured in the presence and absence of competitors and used to calculate relative interaction intensity (RII). We found that RII was best predicted by community composition. Nutrient availability was also important, and a post hoc test showed that competitive intensity was best explained by the combined effects of community composition and nutrient availability. We argue that community composition may be the most effective metric for predicting competitive intensity in many ecosystems because it includes both the competitive effects of the local community and information about covarying environmental characteristics. Supporting Information Filename Description https://dx.doi.org/10.6084/m9.figshare.c.3299984 Research data pertaining to this article is located at figshare.com: Please note: The publisher is not responsible for the content or functionality of any supporting information supplied by the authors. Any queries (other than missing content) should be directed to the corresponding author for the article. Literature Cited Anderson, D. R., K. P. Burnham, and W. L. Thompson . 2000. Null hypothesis testing: problems, prevalence, and an alternative. 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