Midpoint attractors and species richness: Modelling the interaction between environmental drivers and geometric constraints
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60076658%3A12310%2F16%3A43890964" target="_blank" >RIV/60076658:12310/16:43890964 - isvavai.cz</a>
Alternative codes found
RIV/60077344:_____/16:00461662
Result on the web
<a href="http://onlinelibrary.wiley.com/doi/10.1111/ele.12640/abstract;jsessionid=B1DE85568C7D857F688DA2703D40FDEB.f04t02" target="_blank" >http://onlinelibrary.wiley.com/doi/10.1111/ele.12640/abstract;jsessionid=B1DE85568C7D857F688DA2703D40FDEB.f04t02</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1111/ele.12640" target="_blank" >10.1111/ele.12640</a>
Alternative languages
Result language
angličtina
Original language name
Midpoint attractors and species richness: Modelling the interaction between environmental drivers and geometric constraints
Original language description
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.
Czech name
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Czech description
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Classification
Type
J<sub>x</sub> - Unclassified - Peer-reviewed scientific article (Jimp, Jsc and Jost)
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Ecology Letters
ISSN
1461-023X
e-ISSN
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Volume of the periodical
19
Issue of the periodical within the volume
9
Country of publishing house
US - UNITED STATES
Number of pages
14
Pages from-to
1009-1022
UT code for WoS article
000382542500001
EID of the result in the Scopus database
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