Which is a better predictor of plant traits: temperature or precipitation?
QUESTION: Are plant traits more closely correlated with mean annual temperature, or with mean annual precipitation? LOCATION: Global. METHODS: We quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species‐site combinations worldwide. W...
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Published in | Journal of vegetation science Vol. 25; no. 5; pp. 1167 - 1180 |
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Main Authors | , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
Oxford
Opulus Press
01.09.2014
Blackwell Publishing Ltd Blackwell |
Subjects | |
Online Access | Get full text |
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Summary: | QUESTION: Are plant traits more closely correlated with mean annual temperature, or with mean annual precipitation? LOCATION: Global. METHODS: We quantified the strength of the relationships between temperature and precipitation and 21 plant traits from 447,961 species‐site combinations worldwide. We used meta‐analysis to provide an overall answer to our question. RESULTS: Mean annual temperature was significantly more strongly correlated with plant traits than was mean annual precipitation. CONCLUSIONS: Our study provides support for some of the assumptions of classical vegetation theory, and points to many interesting directions for future research. The relatively low R² values for precipitation might reflect the weak link between mean annual precipitation and the availability of water to plants. |
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Bibliography: | http://dx.doi.org/10.1111/jvs.12190 istex:F11CE08C051895564679CF2819B17AE7ABEF1E82 Australian Research Council - No. DP0984222; No. DP140102861; No. CE110001028 NSF-DEB - No. 0415383 CNPq - No. 479083/2008-8; No. 306573/2009-1 UK Department of Environment, Food and Rural Affairs Consolider-Ingenio Montes - No. CSD2008-00040 European Commission through the European Regional Fund UWEC-ORSP European Regional Development Fund - No. IUT 20-28 ArticleID:JVS12190 Estonian Ministry of Science and Education - No. IUT-8-3 Marie Curie IEF - No. FORECOFUN-SSA PIEF-GA-2010-274798; No. CONICYT-PAI-82130046 US National Science Foundation Long-Term Ecological Research Program Appendix S1. List of TRY data sets used.Appendix S2. Error checking procedures.Appendix S3. Figures showing raw data and relationships between each trait and each climate variable. ark:/67375/WNG-M4JBFRQ3-D Catalan Government - No. SGR 2009-458 Spanish Government - No. CGL2010-17172/BOS DEB - No. 1234162 ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23 ObjectType-Article-1 ObjectType-Feature-2 |
ISSN: | 1100-9233 1654-1103 |
DOI: | 10.1111/jvs.12190 |