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Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression
Water and energy have emerged as the best contemporary environmental correlates of broad-scale species richness patterns. A corollary hypothesis of water–energy dynamics theory is that the influence of water decreases and the influence of energy increases with absolute latitude. We report the first...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207816/ https://www.ncbi.nlm.nih.gov/pubmed/22073244 http://dx.doi.org/10.1371/journal.pone.0027027 |
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author | Eiserhardt, Wolf L. Bjorholm, Stine Svenning, Jens-Christian Rangel, Thiago F. Balslev, Henrik |
author_facet | Eiserhardt, Wolf L. Bjorholm, Stine Svenning, Jens-Christian Rangel, Thiago F. Balslev, Henrik |
author_sort | Eiserhardt, Wolf L. |
collection | PubMed |
description | Water and energy have emerged as the best contemporary environmental correlates of broad-scale species richness patterns. A corollary hypothesis of water–energy dynamics theory is that the influence of water decreases and the influence of energy increases with absolute latitude. We report the first use of geographically weighted regression for testing this hypothesis on a continuous species richness gradient that is entirely located within the tropics and subtropics. The dataset was divided into northern and southern hemispheric portions to test whether predictor shifts are more pronounced in the less oceanic northern hemisphere. American palms (Arecaceae, n = 547 spp.), whose species richness and distributions are known to respond strongly to water and energy, were used as a model group. The ability of water and energy to explain palm species richness was quantified locally at different spatial scales and regressed on latitude. Clear latitudinal trends in agreement with water–energy dynamics theory were found, but the results did not differ qualitatively between hemispheres. Strong inherent spatial autocorrelation in local modeling results and collinearity of water and energy variables were identified as important methodological challenges. We overcame these problems by using simultaneous autoregressive models and variation partitioning. Our results show that the ability of water and energy to explain species richness changes not only across large climatic gradients spanning tropical to temperate or arctic zones but also within megathermal climates, at least for strictly tropical taxa such as palms. This finding suggests that the predictor shifts are related to gradual latitudinal changes in ambient energy (related to solar flux input) rather than to abrupt transitions at specific latitudes, such as the occurrence of frost. |
format | Online Article Text |
id | pubmed-3207816 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2011 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-32078162011-11-09 Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression Eiserhardt, Wolf L. Bjorholm, Stine Svenning, Jens-Christian Rangel, Thiago F. Balslev, Henrik PLoS One Research Article Water and energy have emerged as the best contemporary environmental correlates of broad-scale species richness patterns. A corollary hypothesis of water–energy dynamics theory is that the influence of water decreases and the influence of energy increases with absolute latitude. We report the first use of geographically weighted regression for testing this hypothesis on a continuous species richness gradient that is entirely located within the tropics and subtropics. The dataset was divided into northern and southern hemispheric portions to test whether predictor shifts are more pronounced in the less oceanic northern hemisphere. American palms (Arecaceae, n = 547 spp.), whose species richness and distributions are known to respond strongly to water and energy, were used as a model group. The ability of water and energy to explain palm species richness was quantified locally at different spatial scales and regressed on latitude. Clear latitudinal trends in agreement with water–energy dynamics theory were found, but the results did not differ qualitatively between hemispheres. Strong inherent spatial autocorrelation in local modeling results and collinearity of water and energy variables were identified as important methodological challenges. We overcame these problems by using simultaneous autoregressive models and variation partitioning. Our results show that the ability of water and energy to explain species richness changes not only across large climatic gradients spanning tropical to temperate or arctic zones but also within megathermal climates, at least for strictly tropical taxa such as palms. This finding suggests that the predictor shifts are related to gradual latitudinal changes in ambient energy (related to solar flux input) rather than to abrupt transitions at specific latitudes, such as the occurrence of frost. Public Library of Science 2011-11-03 /pmc/articles/PMC3207816/ /pubmed/22073244 http://dx.doi.org/10.1371/journal.pone.0027027 Text en Eiserhardt et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Eiserhardt, Wolf L. Bjorholm, Stine Svenning, Jens-Christian Rangel, Thiago F. Balslev, Henrik Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression |
title | Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression |
title_full | Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression |
title_fullStr | Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression |
title_full_unstemmed | Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression |
title_short | Testing the Water–Energy Theory on American Palms (Arecaceae) Using Geographically Weighted Regression |
title_sort | testing the water–energy theory on american palms (arecaceae) using geographically weighted regression |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3207816/ https://www.ncbi.nlm.nih.gov/pubmed/22073244 http://dx.doi.org/10.1371/journal.pone.0027027 |
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