Please use this identifier to cite or link to this item:
Title: A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities
Authors: Vieira, Thiago Bernardi
Pavanelli, C. S.
Casatti, Lilian
Smith, Welber Senteio
Benedito, Evanilde
Mazzoni, Rosana
Sánchez-Botero, Jorge Iván
Garcez, Danielle Sequeira
Lima, Sergio Maia Queiroz
dos Santos Pompeu, Paulo
Agostinho, Carlos Sérgio
Montag, Luciano F.A.
Zuanon, Jansen
Aquino, Pedro Podestà Uchôa de
Cetra, Maurício
Tejerina-Garro, Francisco Leonardo
Duboc, Luiz Fernando
Corrêa, Ruanny Casarim
Pérez-Mayorga, María Angélica
Brej?o, Gabriel Louren?o
Mateussi, Nadayca Thayane Bonani
Castro, Míriam Aparecida de
Leitão, Rafael Pereira
Mendonça, Fernando Pereira de
Silva, Leandra Rose Palheta da
Frederico, Renata Guimarães
Marco Júnior, Paulo de
Keywords: Animals Community
Ecosystem Monitoring
Environmental Parameters
Neotropical Stream Dweller Fish
Spatial Analysis
Species Distribution
Species Richness
Regression Analysis
Species Difference
Theoretical Model
Tropic Climate
Models, Theoretical
Regression Analysis
Species Specificity
Statistics As Topic
Tropical Climate
Issue Date: 2018
metadata.dc.publisher.journal: PLoS ONE
metadata.dc.relation.ispartof: Volume 13, Número 9
Abstract: Several hypotheses are used to explain species richness patterns. Some of them (e.g. species-area, species-energy, environment-energy, water-energy, terrestrial primary productivity, environmental spatial heterogeneity, and climatic heterogeneity) are known to explain species richness patterns of terrestrial organisms, especially when they are combined. For aquatic organisms, however, it is unclear if these hypotheses can be useful to explain for these purposes. Therefore, we used a selection model approach to assess the predictive capacity of such hypotheses, and to determine which of them (combined or not) would be the most appropriate to explain the fish species distribution in small Brazilian streams. We perform the Akaike’s information criteria for models selections and the eigenvector analysis to control the special autocorrelation. The spatial structure was equal to 0.453, Moran’s I, and require 11 spatial filters. All models were significant and had adjustments ranging from 0.370 to 0.416 with strong spatial component (ranging from 0.226 to 0.369) and low adjustments for environmental data (ranging from 0.001 to 0.119) We obtained two groups of hypothesis are able to explain the richness pattern (1) water-energy, temporal productivity-heterogeneity (AIC = 4498.800) and (2) water-energy, temporal productivity-heterogeneity and area (AIC = 4500.400). We conclude that the fish richness patterns in small Brazilian streams are better explained by a combination of Water-Energy + Productivity + Temporal Heterogeneity hypotheses and not by just one. © 2018 Vieira et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
metadata.dc.identifier.doi: 10.1371/journal.pone.0204114
Appears in Collections:Artigos

Files in This Item:
File Description SizeFormat 
artigo-inpa.pdf6,4 MBAdobe PDFThumbnail

This item is licensed under a Creative Commons License Creative Commons