Get 20M+ Full-Text Papers For Less Than $1.50/day. Start a 14-Day Trial for You or Your Team.

Learn More →

The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots

The importance of biotic interactions in species distribution models: a test of the Eltonian... ABSTRACT Aim To test the Eltonian noise hypothesis (ENH), that biotic interactions do not affect species distributions at large geographical scales. Location The Brazilian cerrado, a central South American savanna and biodiversity hotspot. Methods We modelled the distributions of 11 species of cerrado parrots using the software Maxent at four different spatial resolutions. We built models using abiotic variables, biotic variables (distribution of diet resources) and models combining abiotic and biotic variables. We compared model performance using the area under the curve of the receiver operating characteristic (AUC), retrieved from test data. We partitioned the variance between sets of predictors using a generalized linear model (GLM). Finally, we evaluated whether improvement in model performance (higher AUC values) in models with both abiotic and biotic variables, was related to the species' dietary niche breadth and/or spatial resolution of the models. Results We found that model performance was improved in most cases by the addition of biotic variables. Our variance‐partitioning approach revealed that abiotic and biotic variables contribute independently to the final model. We found no relationship between model improvement and spatial resolution. We also found no relationship between dietary niche breadth and model improvement, indicating that dietary generalist and specialist species were not differently affected by the inclusion of biotic variables in the models. Main conclusions Our results did not support the ENH. In this study, we explicitly incorporated a biotic variable (diet resource distribution) into species distribution models (SDMs), and we showed that these variables generally improve models and have independent contributions. These results agree with previous studies that incorporated biotic variables into SDMs. Ultimately, our results indicate that SDMs performed with abiotic variables only may depict only a partial representation of the geographical distribution of a species. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Journal of Biogeography Wiley

The importance of biotic interactions in species distribution models: a test of the Eltonian noise hypothesis using parrots

Loading next page...
 
/lp/wiley/the-importance-of-biotic-interactions-in-species-distribution-models-a-Bs1KDsijMI

References (76)

Publisher
Wiley
Copyright
Copyright © 2014 John Wiley & Sons Ltd
ISSN
0305-0270
eISSN
1365-2699
DOI
10.1111/jbi.12234
Publisher site
See Article on Publisher Site

Abstract

ABSTRACT Aim To test the Eltonian noise hypothesis (ENH), that biotic interactions do not affect species distributions at large geographical scales. Location The Brazilian cerrado, a central South American savanna and biodiversity hotspot. Methods We modelled the distributions of 11 species of cerrado parrots using the software Maxent at four different spatial resolutions. We built models using abiotic variables, biotic variables (distribution of diet resources) and models combining abiotic and biotic variables. We compared model performance using the area under the curve of the receiver operating characteristic (AUC), retrieved from test data. We partitioned the variance between sets of predictors using a generalized linear model (GLM). Finally, we evaluated whether improvement in model performance (higher AUC values) in models with both abiotic and biotic variables, was related to the species' dietary niche breadth and/or spatial resolution of the models. Results We found that model performance was improved in most cases by the addition of biotic variables. Our variance‐partitioning approach revealed that abiotic and biotic variables contribute independently to the final model. We found no relationship between model improvement and spatial resolution. We also found no relationship between dietary niche breadth and model improvement, indicating that dietary generalist and specialist species were not differently affected by the inclusion of biotic variables in the models. Main conclusions Our results did not support the ENH. In this study, we explicitly incorporated a biotic variable (diet resource distribution) into species distribution models (SDMs), and we showed that these variables generally improve models and have independent contributions. These results agree with previous studies that incorporated biotic variables into SDMs. Ultimately, our results indicate that SDMs performed with abiotic variables only may depict only a partial representation of the geographical distribution of a species.

Journal

Journal of BiogeographyWiley

Published: Jan 1, 2014

Keywords: ; ; ; ; ; ; ; ; ;

There are no references for this article.