Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes? | Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?: Linking microbes to ecosystem processes
2016
Graham, E.B. | Knelman, J.E. | Schindlbacher, A. | Siciliano, S. | Breulmann, M. | Yannarell, A. | Beman, J.M. | Abell, G. | Philippot, L. | Prosser, J. | Foulquier, A. | Yuste, J.C. | Glanville, H.C. | Jones, D.L. | Angel, R. | Salminen, J. | Newton, R.J. | Burgmann, H. | Ingram, L.J. | Hamer, U. | Siljanen, H.M. | Peltoniemi, K. | Potthast, K. | Baneras, L. | Hartmann, M. | Banerjee, S. | Yu, R.Q. | Nogaro, G. | Richter, A. | Koranda, M. | Castle, S.C. | Goberna, M. | Song, B. | Chatterjee, A. | Nunes, O.C. | Lopes, A.R. | Cao, Y. | Kaisermann, A. | Hallin, S. | Strickland, M.S. | Garcia Pausas, J. | Barba, J. | Kang, H. | Isobe, K. | Papaspyrou, S. | Pastorelli, R. | Lagomarsino, A. | Lindstrom, E.S. | Basiliko, N. | Nemergut, D.R. | Institute of Arctic Alpine Research [University of Colorado Boulder] (INSTAAR) ; University of Colorado [Boulder] | Bundesforschungs- und Ausbildungszentrum für Wald | Department of Soil Science ; University of Saskatchewan [Saskatoon, Canada] (U of S) | Helmholtz-Zentrum Geesthacht (GKSS) | University of Illinois at Urbana-Champaign [Urbana] (UIUC) ; University of Illinois System | Sierra Nevada Research Institute ; University of California (UC) | Flinders University [Adelaide, Australia] | Agroécologie [Dijon] ; Institut National de la Recherche Agronomique (INRA)-Université de Bourgogne (UB)-AgroSup Dijon - Institut National Supérieur des Sciences Agronomiques, de l'Alimentation et de l'Environnement | University of Aberdeen | Milieux aquatiques, écologie et pollutions (UR MALY) ; Institut national de recherche en sciences et technologies pour l'environnement et l'agriculture (IRSTEA) | Museo Nacional de Ciencias Naturales [Madrid] (MNCN) ; Consejo Superior de Investigaciones Cientificas [España] = Spanish National Research Council [Spain] (CSIC) | Bangor University | Universität Wien = University of Vienna | Häme University of Applied Sciences (HAMK) | University of Wisconsin–Milwaukee | Swiss Federal Institute of Aquatic Science and Technology [Dübendorf] (EAWAG) | Centre for Carbon, Water and Food ; University of Sydney | Westfälische Wilhelms-Universität Münster = University of Münster = Université de Münster [Münster, Allemagne] (WWU) | Natural Resources Institute | Technische Universität Dresden = Dresden University of Technology (TU Dresden) | Universitat de Girona = University of Girona (UdG) | Agroscope | CSIRO Agriculture Flagship ; Commonwealth Scientific and Industrial Research Organisation [Australia] (CSIRO) | University of Texas at Tyler [Tyler] ; University of Texas at Tyler | Simulation et Traitement de l'information pour l'Exploitation des systèmes de Production (EDF R&D STEP) ; EDF R&D (EDF R&D) ; EDF (EDF)-EDF (EDF) | Department of Microbiology and Ecosystem Science [Vienna] ; Universität Wien = University of Vienna | Montana State University (MSU) | Fundació per a la Investigació i la Docència Maria Angustias Giménez [Barcelone] (FIDMAG) ; FIDMAG Germanes Hospitalaries | Department of Biological Science ; Virginia Institute of Marine Science (VIMS) | North Dakota State University (NDSU) | Faculdade de Engenharia da Universidade do Porto (FEUP) ; Universidade do Porto = University of Porto | Center for Coastal and Watershed Studies ; United States Geological Survey [Reston] (USGS) | Interactions Sol Plante Atmosphère (UMR ISPA) ; Institut National de la Recherche Agronomique (INRA)-Ecole Nationale Supérieure des Sciences Agronomiques de Bordeaux-Aquitaine (Bordeaux Sciences Agro) | Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet (SLU) | Virginia Polytechnic Institute and State University [Blacksburg] | Centre de Ciència i Tecnologia Forestal de Catalunya (CTFC) | Centre de Recerca Ecològica i Aplicacions Forestals ; Universitat Autònoma de Barcelona = Autonomous University of Barcelona = Universidad Autónoma de Barcelona (UAB) | Yonsei University | University of Tokyo [Tokyo] = Tōkyō teikoku daigaku (UTokyo) | Universidad de Cádiz = University of Cádiz (UCA) | Centro di Ricerca per l'Agrobiologia e la Pedologia | Uppsala University | Department of Biology ; Laurentian University
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Afficher plus [+] Moins [-]anglais. Microorganisms are vital in mediating the earth's biogeochemical cycles; yet, despite our rapidly increasing ability to explore complex environmental microbial communities, the relationship between microbial community structure and ecosystem processes remains poorly understood. Here, we address a fundamental and unanswered question in microbial ecology: 'When do we need to understand microbial community structure to accurately predict function?' We present a statistical analysis investigating the value of environmental data and microbial community structure independently and in combination for explaining rates of carbon and nitrogen cycling processes within 82 global datasets. Environmental variables were the strongest predictors of process rates but left 44% of variation unexplained on average, suggesting the potential for microbial data to increase model accuracy. Although only 29% of our datasets were significantly improved by adding information on microbial community structure, we observed improvement in models of processes mediated by narrow phylogenetic guilds via functional gene data, and conversely, improvement in models of facultative microbial processes via community diversity metrics. Our results also suggest that microbial diversity can strengthen predictions of respiration rates beyond microbial biomass parameters, as 53% of models were improved by incorporating both sets of predictors compared to 35% by microbial biomass alone. Our analysis represents the first comprehensive analysis of research examining links between microbial community structure and ecosystem function. Taken together, our results indicate that a greater understanding of microbial communities informed by ecological principles may enhance our ability to predict ecosystem process rates relative to assessments based on environmental variables and microbial physiology.
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