Please use this identifier to cite or link to this item: http://hdl.handle.net/1893/21982
Appears in Collections:Biological and Environmental Sciences Journal Articles
Peer Review Status: Refereed
Title: Revealing patterns of local species richness along environmental gradients with a novel network tool
Authors: Baudena, Mara
Sánchez, Angel
Georg, Co-Pierre
Ruiz-Benito, Paloma
Rodriguez, Miguel A
Zavala, Miguel A
Rietkerk, Max
Contact Email: paloma.ruizbenito@stir.ac.uk
Issue Date: 25-Jun-2015
Publisher: Nature
Citation: Baudena M, Sánchez A, Georg C, Ruiz-Benito P, Rodriguez MA, Zavala MA & Rietkerk M Revealing patterns of local species richness along environmental gradients with a novel network tool, Scientific Reports, 5, Art. No.: 11561.
Abstract: How species richness relates to environmental gradients at large extents is commonly investigated aggregating local site data to coarser grains. However, such relationships often change with the grain of analysis, potentially hiding the local signal. Here we show that a novel network technique, the “method of reflections”, could unveil the relationships between species richness and climate without such drawbacks. We introduced a new index related to potential species richness, which revealed large scale patterns by including at the local community level information about species distribution throughout the dataset (i.e., the network). The method effectively removed noise, identifying how far site richness was from potential. When applying it to study woody species richness patterns in Spain, we observed that annual precipitation and mean annual temperature explained large parts of the variance of the newly defined species richness, highlighting that, at the local scale, communities in drier and warmer areas were potentially the species richest. Our method went far beyond what geographical upscaling of the data could unfold, and the insights obtained strongly suggested that it is a powerful instrument to detect key factors underlying species richness patterns, and that it could have numerous applications in ecology and other fields.
Type: Journal Article
URI: http://hdl.handle.net/1893/21982
DOI Link: http://dx.doi.org/10.1038/srep11561
Rights: This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
Affiliation: Utrecht University
Carlos III University of Madrid
University of Cape Town
Biological and Environmental Sciences
University of Alcala
University of Alcala
Utrecht University

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