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Global species–energy relationship in forest plots: role of abundance,temperature and species climatic tolerances
Authors:Irena Šímová  David Storch  Petr Keil  Brad Boyle  Oliver L. Phillips  Brian J. Enquist
Affiliation:1. Department of Botany, Faculty of Science, Charles University, Benátská 2, 128 01 Praha 2, Czech Republic;2. Department of Ecology, Faculty of Science, Charles University, Vini?ná 7, 128 44 Praha 2, Czech Republic;3. Center for Theoretical Study, Charles University in Prague and Academy of Sciences of the Czech Republic, Jilská 1, 110 00 Praha 1, Czech Republic;4. Department of Ecology and Evolutionary Biology, University of Arizona, Biosciences West 310, Tucson, AZ 85721, USA;5. School of Geography, University of Leeds, Leeds LS2 9JT, UK;6. The Santa Fe Institute, 1399 Hyde Park Road, Santa Fe, NM 87501, USA;7. Center for Applied Biodiversity Science, Conservation International, 2011 Crystal Drive, Suite 500, Arlington, VA 22202, USA
Abstract:Aim To evaluate the strength of evidence for hypotheses explaining the relationship between climate and species richness in forest plots. We focused on the effect of energy availability which has been hypothesized to influence species richness: (1) via the effect of productivity on the total number of individuals (the more individuals hypothesis, MIH); (2) through the effect of temperature on metabolic rate (metabolic theory of biodiversity, MTB); or (3) by imposing climatic limits on species distributions. Location Global. Methods We utilized a unique ‘Gentry‐style’ 370 forest plots data set comprising tree counts and individual stem measurements, covering tropical and temperate forests across all six forested continents. We analysed variation in plot species richness and species richness controlled for the number of individuals by using rarefaction. Ordinary least squares (OLS) regression and spatial regressions were used to explore the relative performance of different sets of environmental variables. Results Species richness patterns do not differ whether we use raw number of species or number of species controlled for number of individuals, indicating that number of individuals is not the proximate driver of species richness. Productivity‐related variables (actual evapotranspiration, net primary productivity, normalized difference vegetation index) perform relatively poorly as correlates of tree species richness. The best predictors of species richness consistently include the minimum temperature and precipitation values together with the annual means of these variables. Main conclusion Across the world's forests there is no evidence to support the MIH, and a very limited evidence for a prominent role of productivity as a driver of species richness patterns. The role of temperature is much more important, although this effect is more complex than originally assumed by the MTB. Variation in forest plot diversity appears to be mostly affected by variation in the minimum climatic values. This is consistent with the ‘climatic tolerance hypothesis’ that climatic extremes have acted as a strong constraint on species distribution and diversity.
Keywords:Biodiversity patterns  forests  latitudinal diversity gradient  metabolic theory  more‐individuals hypothesis  productivity–  diversity relationship
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