TY - JOUR
T1 - A comparative analysis reveals weak relationships between ecological factors and beta diversity of stream insect metacommunities at two spatial levels
AU - Heino, Jani
AU - Melo, Adriano
AU - Bini, Luis
AU - Altermatt, Florian
AU - Al-Shami, Salman
AU - Angeler, David
AU - Bonada, NURIA
AU - Brand, Cecilia
AU - Callisto, Marcos
AU - Cottenie, Karl
AU - Dangles, Olivier
AU - Dudgeon, David
AU - Encalada, Andrea
AU - Gothe, Emma
AU - Gronroos, Mira
AU - Hamada, Neusa
AU - Jacobsen, Dean
AU - Landeiro, Victor
AU - Ligeiro, Raphael
AU - Martins, Renato
AU - Miserendino, Mar¿a
AU - Md Rawi, Che Salmah
AU - Rodrigues, Marciel
AU - Roque, Fabio de Oliveira
AU - Sandin, Leonard
AU - Schmera, Denes
AU - Sgarbi, Luciano
AU - Simaika, John
AU - Siqueira, Tadeu
AU - THOMPSON, Ross
AU - Townsend, Colin
PY - 2015
Y1 - 2015
N2 - 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. Beta diversity should vary along major ecological gradients. We used data for 95 stream insect metacommunities to examine if beta diversity showed general patterns over the world. We did not find clear patterns along latitudinal, altitudinal or environmental gradients, suggesting that stochasticity typical of frequently-disturbed stream ecosystems may hinder finding clear patterns in stream insect beta diversity.
AB - 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. Beta diversity should vary along major ecological gradients. We used data for 95 stream insect metacommunities to examine if beta diversity showed general patterns over the world. We did not find clear patterns along latitudinal, altitudinal or environmental gradients, suggesting that stochasticity typical of frequently-disturbed stream ecosystems may hinder finding clear patterns in stream insect beta diversity.
KW - Altitude range
KW - Comparative analysis
KW - Environmental filtering
KW - Insects
KW - Latitude
KW - Spatial extent
KW - Variance partitioning
UR - http://www.scopus.com/inward/record.url?scp=84924857504&partnerID=8YFLogxK
UR - http://www.mendeley.com/research/comparative-analysis-reveals-weak-relationships-between-ecological-factors-beta-diversity-stream-ins
U2 - 10.1002/ece3.1439
DO - 10.1002/ece3.1439
M3 - Article
SN - 2045-7758
VL - 5
SP - 1235
EP - 1248
JO - Ecology and Evolution
JF - Ecology and Evolution
IS - 6
ER -