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Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?

AIM: It has been recently suggested that different ‘unified theories of biodiversity and biogeography’ can be characterized by three common ‘minimal sufficient rules’: (1) species abundance distributions follow a hollow curve, (2) species show intraspecific aggregation, and (3) species are independe...

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Autores principales: May, Felix, Wiegand, Thorsten, Lehmann, Sebastian, Huth, Andreas, Fortin, Marie‐Josée
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024350/
https://www.ncbi.nlm.nih.gov/pubmed/27667967
http://dx.doi.org/10.1111/geb.12438
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author May, Felix
Wiegand, Thorsten
Lehmann, Sebastian
Huth, Andreas
Fortin, Marie‐Josée
author_facet May, Felix
Wiegand, Thorsten
Lehmann, Sebastian
Huth, Andreas
Fortin, Marie‐Josée
author_sort May, Felix
collection PubMed
description AIM: It has been recently suggested that different ‘unified theories of biodiversity and biogeography’ can be characterized by three common ‘minimal sufficient rules’: (1) species abundance distributions follow a hollow curve, (2) species show intraspecific aggregation, and (3) species are independently placed with respect to other species. Here, we translate these qualitative rules into a quantitative framework and assess if these minimal rules are indeed sufficient to predict multiple macroecological biodiversity patterns simultaneously. LOCATION: Tropical forest plots in Barro Colorado Island (BCI), Panama, and in Sinharaja, Sri Lanka. METHODS: We assess the predictive power of the three rules using dynamic and spatial simulation models in combination with census data from the two forest plots. We use two different versions of the model: (1) a neutral model and (2) an extended model that allowed for species differences in dispersal distances. In a first step we derive model parameterizations that correctly represent the three minimal rules (i.e. the model quantitatively matches the observed species abundance distribution and the distribution of intraspecific aggregation). In a second step we applied the parameterized models to predict four additional spatial biodiversity patterns. RESULTS: Species‐specific dispersal was needed to quantitatively fulfil the three minimal rules. The model with species‐specific dispersal correctly predicted the species–area relationship, but failed to predict the distance decay, the relationship between species abundances and aggregations, and the distribution of a spatial co‐occurrence index of all abundant species pairs. These results were consistent over the two forest plots. MAIN CONCLUSIONS: The three ‘minimal sufficient’ rules only provide an incomplete approximation of the stochastic spatial geometry of biodiversity in tropical forests. The assumption of independent interspecific placements is most likely violated in many forests due to shared or distinct habitat preferences. Furthermore, our results highlight missing knowledge about the relationship between species abundances and their aggregation.
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spelling pubmed-50243502016-09-23 Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests? May, Felix Wiegand, Thorsten Lehmann, Sebastian Huth, Andreas Fortin, Marie‐Josée Glob Ecol Biogeogr Research Papers AIM: It has been recently suggested that different ‘unified theories of biodiversity and biogeography’ can be characterized by three common ‘minimal sufficient rules’: (1) species abundance distributions follow a hollow curve, (2) species show intraspecific aggregation, and (3) species are independently placed with respect to other species. Here, we translate these qualitative rules into a quantitative framework and assess if these minimal rules are indeed sufficient to predict multiple macroecological biodiversity patterns simultaneously. LOCATION: Tropical forest plots in Barro Colorado Island (BCI), Panama, and in Sinharaja, Sri Lanka. METHODS: We assess the predictive power of the three rules using dynamic and spatial simulation models in combination with census data from the two forest plots. We use two different versions of the model: (1) a neutral model and (2) an extended model that allowed for species differences in dispersal distances. In a first step we derive model parameterizations that correctly represent the three minimal rules (i.e. the model quantitatively matches the observed species abundance distribution and the distribution of intraspecific aggregation). In a second step we applied the parameterized models to predict four additional spatial biodiversity patterns. RESULTS: Species‐specific dispersal was needed to quantitatively fulfil the three minimal rules. The model with species‐specific dispersal correctly predicted the species–area relationship, but failed to predict the distance decay, the relationship between species abundances and aggregations, and the distribution of a spatial co‐occurrence index of all abundant species pairs. These results were consistent over the two forest plots. MAIN CONCLUSIONS: The three ‘minimal sufficient’ rules only provide an incomplete approximation of the stochastic spatial geometry of biodiversity in tropical forests. The assumption of independent interspecific placements is most likely violated in many forests due to shared or distinct habitat preferences. Furthermore, our results highlight missing knowledge about the relationship between species abundances and their aggregation. John Wiley and Sons Inc. 2016-02-01 2016-05 /pmc/articles/PMC5024350/ /pubmed/27667967 http://dx.doi.org/10.1111/geb.12438 Text en © 2016 The Authors. Global Ecology and Biogeography published by John Wiley & Sons Ltd This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial (http://creativecommons.org/licenses/by-nc/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes.
spellingShingle Research Papers
May, Felix
Wiegand, Thorsten
Lehmann, Sebastian
Huth, Andreas
Fortin, Marie‐Josée
Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?
title Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?
title_full Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?
title_fullStr Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?
title_full_unstemmed Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?
title_short Do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?
title_sort do abundance distributions and species aggregation correctly predict macroecological biodiversity patterns in tropical forests?
topic Research Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5024350/
https://www.ncbi.nlm.nih.gov/pubmed/27667967
http://dx.doi.org/10.1111/geb.12438
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