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Structural and functional measures of leaf-associated invertebrates and fungi as predictors of stream eutrophication
Institution:1. Department of Evolutionary Biology, Ecology and Environmental Sciences, Universitat de Barcelona, Av. Diagonal, 643, 08028 Barcelona, Spain;2. Department of Geography, Universitat Autònoma de Barcelona, 08193 Cerdanyola del Vallès, Spain;1. MARE-Marine and Environmental Sciences Centre, Department of Life Sciences, University of Coimbra, 3004-517 Coimbra, Portugal;2. Centre of Molecular and Environmental Biology (CBMA), Department of Biology, University of Minho, Campus de Gualtar, 4710-057 Braga, Portugal;3. Department of Biology, Mt. Allison University, Sackville, NB E4L 1G7, Canada;4. Department of Experimental Limnology, Leibniz-Institute of Freshwater Ecology and Inland Fisheries (IGB), Alte Fischerhütte 2, 16775 Stechlin, Germany;5. Department of Ecology, Berlin Institute of Technology (TU Berlin), Ernst-Reuter-Platz 1, 10587 Berlin, Germany;6. Berlin Brandenburg Institute of Advanced Biodiversity Research (BBIB), Altensteinstraße 34, 14195 Berlin, Germany;7. School of Biological Sciences, The University of Hong Kong, Pokfulam, Hong Kong;8. Department of Aquatic Sciences and Assessment, Swedish University of Agricultural Sciences, P.O. Box 7050, SE-75007 Uppsala, Sweden;9. EcoLab, Université de Toulouse, CNRS, INPT, UPS, Toulouse, France;10. Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Spain;11. IKERBASQUE, Basque Foundation for Science, Bilbao, Spain;12. College of Science and Engineering, James Cook University, Townsville, Qld, Australia;13. Department of Life Sciences, University of Coimbra, 3004-517 Coimbra, Portugal;14. Norwegian College of Fishery Science, UiT The Arctic University of Norway, 9037 Tromsø, Norway;15. Department of Arctic and Marine Biology, UiT The Arctic University of Norway, 9037 Tromsø, Norway;p. Department of Zoology, University of Otago, PO Box 56, Dunedin 9054, New Zealand;q. Department of Science and Technological Innovation, University of Piemonte Orientale, Alessandria I-15121, Italy;r. Department of Biosciences, Mangalore University, Mangalagangotri, Mangalore 574 199, Karnataka, India;s. Fotobiology Lab, INIBIOMA (UNComahue-CONICET), Bariloche, Argentina;t. School of Earth and Environment, University of Western Australia, Perth, WA 6009, Australia;u. Research Institute for the Environment and Livelihoods, Charles Darwin University, Darwin, NT 0909, Australia;v. Laboratorio de Ecología Acuática, Colegio de Ciencias Biológicas y Ambientales, Universidad San Francisco de Quito, Diego de Robles y Vía Interoceánica, 17-1200-841 Quito, Ecuador;w. Yenepoya Research Center, Yenepoya (Deemed to Be University), Deralakatte, Mangalore 575018, Karnataka, India;x. Institute of Ecology and Evolution, Friedrich-Schiller University Jena, Dornburger Str. 15, 07743 Jena, Germany;y. Centro de Investigação em Biodiversidade e Recursos Genéticos, CIBIO, InBIO Laboratório Associado, Pólo dos Açores & Departamento de Biologia da, Universidade dos Açores, Ponta Delgada, Açores, Portugal;z. Faculty of Life and Environmental Sciences, University of Yamanashi, Takeda, Kofu 400-8510, Japan;11. Laboratório de Microbiologia Ambiental Departamento de Botânica, Instituto de Biologia, Universidade Federal da Bahia, Campus Ondina, 40170-115 Salvador, BA, Brazil;12. School of Science, Monash University Malaysia, Bandar Sunway, Selangor 47500, Malaysia;13. Department of Geography & Environmental Systems, University of Maryland, Baltimore County, 211 Sondheim Hall, 1000 Hilltop Circle, Baltimore, MD 21250, USA;14. Université Julius N''Yerere de Kankan, Kankan, Guinea;15. School of Science and Engineering, University of the Sunshine Coast, Queensland, Australia
Abstract:Eutrophication is a major threat to freshwater ecosystems worldwide that affects aquatic biota and compromises ecosystem functioning. In this study, we assessed the potential use of leaf decomposition and associated decomposer communities to predict stream eutrophication. Because leaf quality is expected to affect leaf decomposition, we used five leaf species, differing in their initial nitrogen concentration. Leaves of alder, chestnut, plane, oak and eucalyptus were placed in coarse-mesh bags and immersed in six streams along an eutrophication gradient to assess leaf decomposition and the structure of associated decomposer communities. A hump-shaped relationship was established between leaf decomposition and the eutrophication gradient for all leaf species, except for eucalyptus. Invertebrate biomass and density as well as fungal biomass and sporulation were lowest at the extremes of the gradient. Leaf-associated invertebrate and fungal assemblages were mainly structured by stream eutrophication. The percentage of shredders on leaves decreased, whereas the percentage of oligochaeta increased along the eutrophication gradient. The Iberian Biological Monitoring Working Party Index (IBMWP) applied to benthic invertebrates increased from oligotrophic to moderately eutrophic streams and then dropped sharply at highly and hypertrophic streams. Overall, leaf decomposition was a valuable tool to assess changes in stream water quality, and it allowed the discrimination of sites classified by the IBMWP within class I and class IV. Moreover, decomposition of most leaf species responded in a similar way to eutrophication when decomposition was normalized by the quality of leaves.
Keywords:Leaf decomposition  Fungi  Invertebrates  Leaf quality  Stream eutrophication
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