Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes? - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Frontiers in Microbiology Année : 2016

Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?

1 INSTAAR - Institute of Arctic Alpine Research [University of Colorado Boulder]
2 Bundesforschungs- und Ausbildungszentrum für Wald
3 Department of Soil Science
4 GKSS - Helmholtz-Zentrum Geesthacht
5 UIUC - University of Illinois at Urbana-Champaign [Urbana]
6 Sierra Nevada Research Institute
7 Flinders University [Adelaide, Australia]
8 Agroécologie [Dijon]
9 University of Aberdeen
10 UR MALY - Milieux aquatiques, écologie et pollutions
11 MNCN - Museo Nacional de Ciencias Naturales [Madrid]
12 Bangor University
13 University of Vienna [Vienna]
14 Häme University of Applied Sciences
15 University of Wisconsin - Milwaukee
16 EAWAG - Swiss Federal Insitute of Aquatic Science and Technology [Dübendorf]
17 Centre for Carbon, Water and Food
18 WWU - Westfälische Wilhelms-Universität Münster = University of Münster
19 Natural Resources Institute
20 TU Dresden - Technische Universität Dresden = Dresden University of Technology
21 UdG - Universitat de Girona
22 Agroscope
23 CSIRO Agriculture Flagship
24 University of Texas at Tyler [Tyler]
25 EDF R&D STEP - Simulation et Traitement de l'information pour l'Exploitation des systèmes de Production
26 Department of Microbiology and Ecosystem Science [Vienna]
27 MSU - Montana State University
28 FIDMAG - Fundació per a la Investigació i la Docència Maria Angustias Giménez [Barcelone]
29 Department of Biological Science
30 NDSU - North Dakota State University
31 FEUP - Faculdade de Engenharia da Universidade do Porto
32 Center for Coastal and Watershed Studies
33 UMR ISPA - Interactions Sol Plante Atmosphère
34 SLU - Swedish University of Agricultural Sciences = Sveriges lantbruksuniversitet
35 Virginia Polytechnic Institute and State University [Blacksburg]
36 CTFC - Centre de Ciència i Tecnologia Forestal de Catalunya
37 Centre de Recerca Ecològica i Aplicacions Forestals
38 Yonsei University
39 UTokyo - The University of Tokyo
40 UCA - Universidad de Cádiz = University of Cádiz
41 Centro di Ricerca per l'Agrobiologia e la Pedologia
42 Uppsala University
43 Department of Biology
L. Philippot
H.C. Glanville
  • Fonction : Auteur
D.L. Jones
  • Fonction : Auteur
L. Baneras
  • Fonction : Auteur
M. Hartmann
  • Fonction : Auteur
H. Kang
  • Fonction : Auteur
K. Isobe
  • Fonction : Auteur

Résumé

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.
Fichier principal
Vignette du fichier
ly2016-pub00052492.pdf (524.64 Ko) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte
Loading...

Dates et versions

hal-01588095 , version 1 (15-09-2017)

Licence

Paternité

Identifiants

Citer

E.B. Graham, J.E. Knelman, A. Schindlbacher, S. Siciliano, M. Breulmann, et al.. Microbes as engines of ecosystem function: When does community structure enhance predictions of ecosystem processes?: Linking microbes to ecosystem processes. Frontiers in Microbiology, 2016, 7, pp.214. ⟨10.3389/fmicb.2016.00214⟩. ⟨hal-01588095⟩
396 Consultations
113 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More