A multiple hypothesis approach to explain species richness patterns in neotropical stream-dweller fish communities

• Autor(a) principal: Vieira, Thiago Bernardi
• Data de Publicação: 2018
• Outros Autores: Pavanelli, Carla Simone, Casatti, Lilian, Smith, Welber Senteio, Benedito, Evanilde, Mazzoni, Rosana, Botero, Jorge Ivan Sanchez, Garcez, Danielle Sequeira, Lima, Sergio Maia Queiroz, Pompeu, Paulo Santos, Agostinho, Carlos Sergio, Montag, Luciano Fogaça de Assis, Zuanon, Jansen, Aquino, Pedro de Podesta Uchoa de, Cetra, Mauricio, Garro, Francisco Leonardo Tejerina, Duboc, Luiz Fernando, Corrêa, Ruanny Casarim, Mayorga, Marıa Angelica Perez, Brejão, Gabriel Lourenço, Mateuss, Nadayca Thayane Bonani, Castro, Mıriam Aparecida de, Leitão, Rafael Pereira, Mendonça, Fernando Pereira de, Silva, Leandra Rose Palheta da, Frederico, Renata, Marco, Paulo De
• Tipo de documento: Artigo
• Idioma: por
• Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
• Texto Completo: http://www.repositorio.ufc.br/handle/riufc/63613

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. Weperform 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 productivityheterogeneity (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.