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Midpoint attractors and species richness: Modelling the interaction between environmental drivers and geometric constraints
RK. Colwell, NJ. Gotelli, LA. Ashton, J. Beck, G. Brehm, TM. Fayle, K. Fiedler, ML. Forister, M. Kessler, RL. Kitching, P. Klimes, J. Kluge, JT. Longino, SC. Maunsell, CM. McCain, J. Moses, S. Noben, K. Sam, L. Sam, AM. Shapiro, X. Wang, V. Novotny,
Language English Country Great Britain
Document type Journal Article, Research Support, U.S. Gov't, Non-P.H.S., Research Support, Non-U.S. Gov't
PubMed
27358193
DOI
10.1111/ele.12640
Knihovny.cz E-resources
- MeSH
- Bayes Theorem MeSH
- Biodiversity * MeSH
- Models, Biological * MeSH
- Ecosystem * MeSH
- Plant Physiological Phenomena MeSH
- Insecta physiology MeSH
- Vertebrates physiology MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Research Support, U.S. Gov't, Non-P.H.S. MeSH
We introduce a novel framework for conceptualising, quantifying and unifying discordant patterns of species richness along geographical gradients. While not itself explicitly mechanistic, this approach offers a path towards understanding mechanisms. In this study, we focused on the diverse patterns of species richness on mountainsides. We conjectured that elevational range midpoints of species may be drawn towards a single midpoint attractor - a unimodal gradient of environmental favourability. The midpoint attractor interacts with geometric constraints imposed by sea level and the mountaintop to produce taxon-specific patterns of species richness. We developed a Bayesian simulation model to estimate the location and strength of the midpoint attractor from species occurrence data sampled along mountainsides. We also constructed midpoint predictor models to test whether environmental variables could directly account for the observed patterns of species range midpoints. We challenged these models with 16 elevational data sets, comprising 4500 species of insects, vertebrates and plants. The midpoint predictor models generally failed to predict the pattern of species midpoints. In contrast, the midpoint attractor model closely reproduced empirical spatial patterns of species richness and range midpoints. Gradients of environmental favourability, subject to geometric constraints, may parsimoniously account for elevational and other patterns of species richness.
Center for Population Biology University of California Davis CA 95616 USA
College of Forestry Beijing Forestry University Beijing 100083 China
Department of Biology University of Utah Salt Lake City UT 84112 USA
Department of Biology University of Vermont Burlington VT 05405 USA
Department of Botany and Biodiversity Research University of Vienna Rennweg 14 1030 Vienna Austria
Department of Geography University of Marburg 35032 Marburg Germany
Environmental Futures Research Institute Griffith University Nathan Qld 4111 Australia
Institute of Systematic Botany University of Zurich 8008 Zurich Switzerland
Phyletisches Museum Friedrich Schiller Universität Jena 07743 Germany
References provided by Crossref.org
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- $a Colwell, Robert K $u Department of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, 06269, USA. Departmento de Ecologia, Universidade Federal de Goiás, CP 131, Goiânia, GO, 74.001-970, Brasil. University of Colorado Museum of Natural History, Boulder, CO, 80309, USA.
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