Predicting ecosystem stability from community composition and biodiversity

Ecology Letters

Volumn 16, Issue 5, 2013, Pages 617-625

  de Mazancourt, Claire ^a,k   Isbell, Forest ^a,b   Larocque, Allen ^a   Berendse, Frank ^c   De Luca, Enrica ^d   Grace, James B ^e   Haegeman, Bart ^f,k   Wayne Polley, H ^g   Roscher, Christiane ^h   Schmid, Bernhard ^d   Tilman, David ^b   van Ruijven, Jasper ^c   Weigelt, Alexandra ⁱ   Wilsey, Brian J ^j   Loreau, Michel ^a,k  

^a MCGILL UNIVERSITY   (Canada)

^b UNIVERSITY OF MINNESOTA   (United States)

^c WAGENINGEN UNIVERSITY   (Netherlands)

^d UNIVERSITY OF ZURICH   (Switzerland)

^e U S GEOLOGICAL SURVEY   (United States)

^f UMR 729 MISTEA   (France)

^g AGRICULTURAL RESEARCH SERVICE   (United States)

^h HELMHOLTZ CENTRE FOR ENVIRONMENTAL RESEARCH UFZ   (Germany)

ⁱ UNIVERSITY OF LEIPZIG   (Germany)

^j IOWA STATE UNIVERSITY   (United States)

^k Centre National de la Recherche Scientifique and Paul Sabatier University   (France)

more..

Author keywords

Biodiversity; Demographic stochasticity; Environmental stochasticity; Overyielding; Prediction; Stability

Indexed keywords

BIOMASS; COMMUNITY RESPONSE; DEMOGRAPHIC TREND; ECOSYSTEM STRUCTURE; ENVIRONMENTAL CHANGE; ERROR CORRECTION; MONOCULTURE; PARAMETERIZATION; PREDICTION; SAMPLING; SPECIES DIVERSITY; SPECIES RICHNESS; STOCHASTICITY; TEMPORAL VARIATION;

ARTICLE; BIODIVERSITY; BIOLOGICAL MODEL; BIOMASS; COMPUTER SIMULATION; ECOSYSTEM; GERMANY; NETHERLANDS; POACEAE; POPULATION DYNAMICS; STATISTICS; THEORETICAL MODEL; UNITED STATES;

BIODIVERSITY; BIOMASS; COMPUTER SIMULATION; ECOSYSTEM; GERMANY; MINNESOTA; MODELS, BIOLOGICAL; MODELS, THEORETICAL; NETHERLANDS; POACEAE; POPULATION DYNAMICS; STOCHASTIC PROCESSES; TEXAS;

EID: 84876722643     PISSN: 1461023X     EISSN: 14610248     Source Type: Journal    
DOI: 10.1111/ele.12088     Document Type: Article

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