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Community ecology theory predicts the effects of agrochemical mixtures on aquatic biodiversity and ecosystem properties.
Halstead, Neal T; McMahon, Taegan A; Johnson, Steve A; Raffel, Thomas R; Romansic, John M; Crumrine, Patrick W; Rohr, Jason R.
Affiliation
  • Halstead NT; Department of Integrative Biology, University of South Florida, Tampa, FL, 33620.
Ecol Lett ; 17(8): 932-41, 2014 Aug.
Article de En | MEDLINE | ID: mdl-24811760
ABSTRACT
Ecosystems are often exposed to mixtures of chemical contaminants, but the scientific community lacks a theoretical framework to predict the effects of mixtures on biodiversity and ecosystem properties. We conducted a freshwater mesocosm experiment to examine the effects of pairwise agrochemical mixtures [fertiliser, herbicide (atrazine), insecticide (malathion) and fungicide (chlorothalonil)] on 24 species- and seven ecosystem-level responses. As postulated, the responses of biodiversity and ecosystem properties to agrochemicals alone and in mixtures was predictable by integrating information on each functional group's (1) sensitivity to the chemicals (direct effects), (2) reproductive rates (recovery rates), (3) interaction strength with other functional groups (indirect effects) and (4) links to ecosystem properties. These results show that community ecology theory holds promise for predicting the effects of contaminant mixtures on biodiversity and ecosystem services and yields recommendations on which types of agrochemicals to apply together and separately to reduce their impacts on aquatic ecosystems.
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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Agrochimie / Écosystème / Biodiversité / Biote / Modèles biologiques Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Animals Langue: En Journal: Ecol Lett Année: 2014 Type de document: Article

Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Sujet principal: Agrochimie / Écosystème / Biodiversité / Biote / Modèles biologiques Type d'étude: Prognostic_studies / Risk_factors_studies Limites: Animals Langue: En Journal: Ecol Lett Année: 2014 Type de document: Article