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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Deconstructing richness patterns by commonness and rarity reveals bioclimatic and spatial effects in black fly metacommunities

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Autor(es):
Roque, Fabio De O. [1, 2] ; Zampiva, Nayara K. [3] ; Valente-Neto, Francisco [4] ; Menezes, Jorge F. S. [5] ; Hamada, Neusa [6] ; Pepinelli, Mateus [7, 8] ; Siqueira, Tadeu [9] ; Swan, Christopher [10]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] Univ Fed Mato Grosso do Sul, Ctr Ciencias Biol & Saude, BR-79070900 Campo Grande, MS - Brazil
[2] James Cook Univ, Ctr Trop Environm & Sustainabil Sci TESS, Cairns - Australia
[3] Fundacao Univ Fed Grande Dourados, Programa Posgrad Entomol & Conservacao Biodiversi, Dourados, MS - Brazil
[4] Univ Fed Mato Grosso do Sul, Programa Posgrad Ecol & Conservacao, BR-79070900 Campo Grande, MS - Brazil
[5] Ben Gurion Univ Negev, Swiss Inst Dryland Environm & Energy Res, Marco & Louise Mitrani Dept Desert Ecol, IL-84105 Beer Sheva - Israel
[6] Inst Nacl de Pesquisas da Amazonia, Manaus, Amazonas - Brazil
[7] Royal Ontario Museum, Dept Nat Hist, Toronto, ON M5S 2C6 - Canada
[8] Univ Toronto, Dept Ecol & Evolutionary Biol, Toronto, ON - Canada
[9] Univ Estadual Paulista, Inst Biociencias, Dept Ecol, Rio Claro, SP - Brazil
[10] Univ Maryland Baltimore Cty, Baltimore, MD 21228 - USA
Número total de Afiliações: 10
Tipo de documento: Artigo Científico
Fonte: Freshwater Biology; v. 61, n. 6, p. 923-932, JUN 2016.
Citações Web of Science: 8
Resumo

Deconstructing biological communities by grouping species according to their commonness or rarity might improve our understanding about the processes driving variation in biological communities. Such an approach considers differences among organisms and emergent ecological patterns. In this study, we addressed the relative role of spatial and large-scale bioclimatic variables along a commonness and rarity gradient using Simuliidae (Diptera) species richness. A database of species occurrences at 459 locations in Brazil was used to estimate the distribution of 58 simuliid species. Total species richness at each location was estimated first using all occurrences and then by removing one species at a time, following a commonest to rarest gradient (CtR) and vice-versa (RtC). Partial regression analysis was used to test the influence of sets of bioclimatic (E) and spatial (S) variables for Simuliidae species richness across both CtR and RtC gradients. In the CtR gradient, the pure spatial component alone explained between 40% and 60% of the variation in simuliid richness when the total number of species was greater than 35. After removal of the 35th most common species, the model fit decreased sharply reaching nearly zero when only rare species were present. Variation explained by the shared component E+S decreased continuously along the CtR gradient. The relative role of predictor variables on the RtC gradient was similar to CtR gradient. However, removing the rare species first did not change which components best explained species richness. Our gradual deconstructive approach revealed that common species contribute more to species richness variation than rare species, and that the role of predictors in explaining this pattern cannot be untangled by analysing richness of rare and common species in a categorical way. (AU)

Processo FAPESP: 13/50424-1 - Scaling biodiversity in tropical and boreal streams: implications for diversity mapping and environmental assessment (ScaleBio)
Beneficiário:Tadeu de Siqueira Barros
Linha de fomento: Auxílio à Pesquisa - Regular