A generalized approach to the modeling of the species-area relationship.
This paper proposes a statistical generalized species-area model (GSAM) to represent various patterns of species-area relationship (SAR), which is one of the fundamental patterns in ecology. The approach enables the generalization of many preliminary models, as power-curve model, which is commonly u...
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doaj-3eec801fc4cb48c09aac1b34b4f5b2852020-11-25T02:22:09ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0198e10513210.1371/journal.pone.0105132A generalized approach to the modeling of the species-area relationship.Katiane Silva ConceiçãoWerner UlrichCarlos Alberto Ribeiro DinizFrancisco Aparecido RodriguesMarinho Gomes de AndradeThis paper proposes a statistical generalized species-area model (GSAM) to represent various patterns of species-area relationship (SAR), which is one of the fundamental patterns in ecology. The approach enables the generalization of many preliminary models, as power-curve model, which is commonly used to mathematically describe the SAR. The GSAM is applied to simulated data set of species diversity in areas of different sizes and a real-world data of insects of Hymenoptera order has been modeled. We show that the GSAM enables the identification of the best statistical model and estimates the number of species according to the area.http://europepmc.org/articles/PMC4149369?pdf=render |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Katiane Silva Conceição Werner Ulrich Carlos Alberto Ribeiro Diniz Francisco Aparecido Rodrigues Marinho Gomes de Andrade |
spellingShingle |
Katiane Silva Conceição Werner Ulrich Carlos Alberto Ribeiro Diniz Francisco Aparecido Rodrigues Marinho Gomes de Andrade A generalized approach to the modeling of the species-area relationship. PLoS ONE |
author_facet |
Katiane Silva Conceição Werner Ulrich Carlos Alberto Ribeiro Diniz Francisco Aparecido Rodrigues Marinho Gomes de Andrade |
author_sort |
Katiane Silva Conceição |
title |
A generalized approach to the modeling of the species-area relationship. |
title_short |
A generalized approach to the modeling of the species-area relationship. |
title_full |
A generalized approach to the modeling of the species-area relationship. |
title_fullStr |
A generalized approach to the modeling of the species-area relationship. |
title_full_unstemmed |
A generalized approach to the modeling of the species-area relationship. |
title_sort |
generalized approach to the modeling of the species-area relationship. |
publisher |
Public Library of Science (PLoS) |
series |
PLoS ONE |
issn |
1932-6203 |
publishDate |
2014-01-01 |
description |
This paper proposes a statistical generalized species-area model (GSAM) to represent various patterns of species-area relationship (SAR), which is one of the fundamental patterns in ecology. The approach enables the generalization of many preliminary models, as power-curve model, which is commonly used to mathematically describe the SAR. The GSAM is applied to simulated data set of species diversity in areas of different sizes and a real-world data of insects of Hymenoptera order has been modeled. We show that the GSAM enables the identification of the best statistical model and estimates the number of species according to the area. |
url |
http://europepmc.org/articles/PMC4149369?pdf=render |
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