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Title: A comparative analysis reveals weak relationships between ecological factors and beta diversity of stream insect metacommunities at two spatial levels.
Author: Heino, Jani
Melo, Adriano S.
Bini, Luis Mauricio
Altermatt, Florian
Al-Shami, Salman A.
Angeler, David G.
Bonada i Caparrós, Núria
Brand, Cecilia
Callisto, Marcos
Cottenie, Karl
Dangles, Olivier
Dudgeon, David
Encalada, Andrea
Göthe, Emma
Grönroos, Mira
Hamada, Neusa
Jacobsen, Dean
Landeiro, Victor L.
Ligeiro, Raphael
Martins, Renarto T.
Miserendino, María Laura
Md Rawi, Che Salmah
Rodrigues, Marciel E.
Roque, Fabio de Oliveira
Sandin, Leonard
Schmera, Denes
Sgarbi, Luciano F.
Simaika, John P.
Siqueira, Tadeu
Thompson, Ross M.
Townsend, Colin R.
Keywords: Insectes
Ecologia espacial
Medi ambient
Influència de l'altitud
Biologia de poblacions
Spatial ecology
Influence of altitude
Population biology
Issue Date: 23-Feb-2015
Publisher: John Wiley & Sons
Abstract: The hypotheses that beta diversity should increase with decreasing latitude and increase with spatial extent of a region have rarely been tested based on a comparative analysis of multiple datasets, and no such study has focused on stream insects. We first assessed how well variability in beta diversity of stream insect metacommunities is predicted by insect group, latitude, spatial extent, altitudinal range, and dataset properties across multiple drainage basins throughout the world. Second, we assessed the relative roles of environmental and spatial factors in driving variation in assemblage composition within each drainage basin. Our analyses were based on a dataset of 95 stream insect metacommunities from 31 drainage basins distributed around the world. We used dissimilarity-based indices to quantify beta diversity for each metacommunity and, subsequently, regressed beta diversity on insect group, latitude, spatial extent, altitudinal range, and dataset properties (e.g., number of sites and percentage of presences). Within each metacommunity, we used a combination of spatial eigenfunction analyses and partial redundancy analysis to partition variation in assemblage structure into environmental, shared, spatial, and unexplained fractions. We found that dataset properties were more important predictors of beta diversity than ecological and geographical factors across multiple drainage basins. In the within-basin analyses, environmental and spatial variables were generally poor predictors of variation in assemblage composition. Our results revealed deviation from general biodiversity patterns because beta diversity did not show the expected decreasing trend with latitude. Our results also call for reconsideration of just how predictable stream assemblages are along ecological gradients, with implications for environmental assessment and conservation decisions. Our findings may also be applicable to other dynamic systems where predictability is low.
Note: Reproducció del document publicat a:
It is part of: Ecology and Evolution, 2015, vol. 5, num. 6, p. 1235-1248
Related resource:
ISSN: 2045-7758
Appears in Collections:Articles publicats en revistes (Biologia Evolutiva, Ecologia i Ciències Ambientals)

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