dc.contributorUniversidade Estadual de Goiás
dc.contributorUniversidade de Brasília (UnB)
dc.contributorUniversidade Federal de Mato Grosso do Sul (UFMS)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de Lavras (UFLA)
dc.contributorUniversidade Federal de São Carlos (UFSCar)
dc.contributorPontificia Universidade Católica de Goiás
dc.contributorUniEVANGÉLICA
dc.contributorUniversidade Estadual Do Mato Grosso Do sul
dc.date.accessioned2020-12-12T02:42:33Z
dc.date.accessioned2022-12-19T21:21:04Z
dc.date.available2020-12-12T02:42:33Z
dc.date.available2022-12-19T21:21:04Z
dc.date.created2020-12-12T02:42:33Z
dc.date.issued2020-05-01
dc.identifierPLoS ONE, v. 15, n. 5, 2020.
dc.identifier1932-6203
dc.identifierhttp://hdl.handle.net/11449/201814
dc.identifier10.1371/journal.pone.0233733
dc.identifier2-s2.0-85085538929
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/5382448
dc.description.abstractUnderstanding 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 Paranáecoregion, showing the importance of using multiple sets of predictors to understand the processes structuring biodiversity distribution.
dc.languageeng
dc.relationPLoS ONE
dc.sourceScopus
dc.titleStream fish metacommunity organisation across a Neotropical ecoregion: The role of environment, anthropogenic impact and dispersal-based processes
dc.typeArtículos de revistas


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