A comparative analysis reveals weak relationships between ecological factors and beta diversity of stream insect metacommunities at two spatial levels

• Autores: Heino, Jani; Melo, Adriano S.; Bini, Luis Mauricio; Altermatt, Florian; Al-Shami, Salman A.; Angeler, David G.; Bonada, 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, Renato T.; Miserendino, Maria Laura; Md Rawi, Che Salmah; Rodrigues, Marciel E.; de Oliveira Roque, Fabio; Sandin, Leonard; Schmera, Denes; Sgarbi, Luciano F.; Simaika, John P.; Siqueira, Tadeu; Thompson, Ross M.; Townsend, Colin R.
• Año de publicación: 2015
• Idioma: inglés
• Tipo de recurso: artículo
• Materia: Altitude Range; Comparative Analysis; Environmental Filtering; Insects; Latitude; Spatial Extent; Variance Partitioning
• Institución: Consejo Nacional de Investigaciones Científicas y Técnicas

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.
Fil: Heino, Jani. Natural Environment Centre; Finlandia
Fil: Melo, Adriano S.. Universidade Federal de Goias; Brasil
Fil: Bini, Luis Mauricio. Universidade Federal de Goias; Brasil
Fil: Altermatt, Florian. Eawag: Swiss Federal Institute of Aquatic Science and Technology; Suiza. Institute of Evolutionary Biology and Environmental Studies; Suiza
Fil: Al-Shami, Salman A.. Universiti Sains Malaysia; Malasia. University of Tabuk; Arabia Saudita
Fil: Angeler, David G.. Swedish University of Agricultural Sciences; Suecia
Fil: Bonada, Núria. Universidad de Barcelona; España
Fil: Brand, Cecilia. Universidad Nacional de la Patagonia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Callisto, Marcos. Universidade Federal de Minas Gerais; Brasil
Fil: Cottenie, Karl. University of Guelph; Canadá
Fil: Dangles, Olivier. Pontifical Catholic University of Ecuador; Ecuador. Laboratoire Evolution, Génomes et Spéciation; Francia
Fil: Dudgeon, David. The University of Hong Kong; China
Fil: Encalada, Andrea. Universidad San Francisco de Quito; Ecuador
Fil: Göthe, Emma. Aarhus University; Dinamarca
Fil: Grönroos, Mira. Natural Environment Centre; Finlandia
Fil: Hamada, Neusa. Instituto Nacional de Pesquisas da Amazónia; Brasil
Fil: Jacobsen, Dean. University of Copenhagen; Dinamarca
Fil: Landeiro, Victor L.. Universidade Federal do Mato Grosso; Brasil
Fil: Ligeiro, Raphael. Universidade Federal de Minas Gerais; Brasil
Fil: Martins, Renato T.. Instituto Nacional de Pesquisas da Amazónia; Brasil
Fil: Miserendino, Maria Laura. Universidad Nacional de la Patagonia; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Md Rawi, Che Salmah. Universiti Sains Malaysia; Malasia
Fil: Rodrigues, Marciel E.. Universidade Federal do Mato Grosso Do Sul; Brasil
Fil: de Oliveira Roque, Fabio. Universidade Federal do Mato Grosso Do Sul; Brasil
Fil: Sandin, Leonard. Swedish University of Agricultural Sciences; Suecia
Fil: Schmera, Denes. University of Basel; Suiza. Hungarian Academy of Sciences; Hungría
Fil: Sgarbi, Luciano F.. Universidade Federal de Goias; Brasil
Fil: Simaika, John P.. Stellenbosch University; Sudáfrica
Fil: Siqueira, Tadeu. Universidade Estadual Paulista Julio de Mesquita Filho; Brasil
Fil: Thompson, Ross M.. University of Canberra; Australia
Fil: Townsend, Colin R.. University Of Otago; Nueva Zelanda