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

Ecology and Evolution

Jani Heino¹³  Adriano S. Melo¹  Luis Mauricio Bini¹  Florian Altermatt²¹  Salman A. Al-Shami⁹  David G. Angeler⁸  Núria Bonada¹¹  Cecilia Brand⁴  Marcos Callisto¹⁸  Karl Cottenie¹⁵  Olivier Dangles^6,13  David Dudgeon^13,17  Andrea Encalada^13,14  Emma Göthe^13,19  Mira Grönroos¹³  Neusa Hamada^7,13  Dean Jacobsen^10,13  Victor L. Landeiro^13,16  Raphael Ligeiro¹⁸  Renato T. Martins^7,13  María Laura Miserendino⁴  Che Salmah Md Rawi⁹  Marciel E. Rodrigues^13,20  Fabio de Oliveira Roque^13,20  Leonard Sandin⁸  Denes Schmera^5,13  Luciano F. Sgarbi¹  John P. Simaika^3,13  Tadeu Siqueira^1,2  Ross M. Thompson^1,12 

[1] Departamento de Ecologia, Universidade Federal de Goiás, Goiânia, GO, Brazil;ORCID:orcid.org/0000-0001-5069-2904;Department of Conservation Ecology and Entomology, Stellenbosch University, Stellenbosch, South Africa;LIESA-CONICET-Universidad Nacional de la Patagonia SJB, Chubut, Argentina;Section of Conservation Biology, Department of Environmental Sciences, University of Basel, Basel, Switzerland;Laboratory of Entomology, School of Biological Sciences, Pontifical Catholic University of Ecuador, Quito, Ecuador;Instituto Nacional de Pesquisas da Amazônia, Coordenação de Biodiversidade, Manaus, AM, Brazil;Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, Uppsala, Sweden;School of Biological Sciences, Universiti Sains Malaysia, Penang, Malaysia;Department of Biology, University of Copenhagen, Copenhagen, Denmark;Departament d'Ecologia, Grup de Recerca Freshwater Ecology and Management (FEM), Universitat de Barcelona, Barcelona, Catalonia, Spain;Institute for Applied Ecology, University of Canberra, Canberra, ACT, Australia;Finnish Environment Institute, Natural Environment Centre, Biodiversity, Oulu, Finland;Laboratorio de Ecología Acuática Colegio de Ciencias Biológicas y Ambientales Universidad San Francisco de Quito, Quito, Ecuador;Department of Integrative Biology, University of Guelph, Guelph, ON, Canada;ORCID:orcid.org/0000-0002-9341-6050;School of Biological Sciences, The University of Hong Kong, Hong Kong SAR, China;Departamento de Biologia Geral, Instituto de Biologia Geral, Universidade Federal de Minas Gerais, Belo Horizonte, Minas Gerais, Brazil;Department of Bioscience, Aarhus University, Silkeborg, Denmark;Departamento de Ciências Biológicas e da Saúde, Universidade Federal de Mato Grosso do Sul, Campo Grande, Mato Grosso do Sul, Brazil;Department of Aquatic Ecology, Eawag: Swiss Federal Institute of Aquatic Science and Technology, Dübendorf, Switzerland

关键词: Altitude range;    comparative analysis;    environmental filtering;    insects;    latitude;    spatial extent;    variance partitioning;   

DOI  :  10.1002/ece3.1439

来源: Wiley

【 摘 要 】

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.

【 授权许可】

CC BY   
© 2015 The Authors. Ecology and Evolution published by John Wiley & Sons Ltd.

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