Stream fish metacommunity organisation across a Neotropical ecoregion: the role of environment, anthropogenic impact and dispersal-based processes

• Autor(a) principal: Borges, Pedro Paulino
• Data de Publicação: 2020
• Outros Autores: Dias, Murilo Sversut, Carvalho, Fernando Rogério, Casatti, Lilian, Pompeu, Paulo Santos, Cetra, Mauricio, Tejerina-Garro, Francisco Leonardo, Suárez, Yzel Rondon, Nabout, João Carlos, Teresa, Fabrício Barreto
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Institucional da UFLA
• Texto Completo: http://repositorio.ufla.br/jspui/handle/1/43277
• topic: Stream fish metacommunity; Freshwater fish; Fish diversity; Biodiversity distribution; Metacomunidade de peixes de fluxo; Peixe de água doce; Diversidade de peixes; Distribuição da biodiversidade

Understanding how assemblages are structured in space and the factors promoting their distributions is one of the main goals in Ecology, however, studies regarding the distribution of organisms at larger scales remain biased towards terrestrial groups. We attempt to understand if the structure of stream fish metacommunities across a Neotropical ecoregion (Upper Paraná—drainage area of 820,000 km2) are affected by environmental variables, describing natural environmental gradient, anthropogenic impacts and spatial predictors. For this, we obtained 586 sampling points of fish assemblages in the ecoregion and data on environmental and spatial predictors that potentially affect fish assemblages. We calculated the local beta diversity (Local Contribution to Beta Diversity, LCBD) and alpha diversity from the species list, to be used as response variables in the partial regression models, while the anthropogenic impacts, environmental gradient and spatial factors were used as predictors. We found a high total beta diversity for the ecoregion (0.41) where the greatest values for each site sampled were located at the edges of the ecoregion, while richer communities were found more centrally. All sets of predictors explained the LCBD and alpha diversity, but the most important was dispersal variables, followed by the natural environmental gradient and anthropogenic impact. However, we found an increase in the models’ prediction power through the shared effect. Results suggest that environmental filters (i.e. environmental variables such as climate, hydrology and anthropogenic impact) and dispersal limitation together shape fish assemblages of the Upper Paraná ecoregion, showing the importance of using multiple sets of predictors to understand the processes structuring biodiversity distribution.