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Ecology Letters
Article . 2014 . Peer-reviewed
License: Wiley Online Library User Agreement
Data sources: Crossref
Ecology Letters
Article . 2014
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Community ecology theory predicts the effects of agrochemical mixtures on aquatic biodiversity and ecosystem properties

Authors: Neal T, Halstead; Taegan A, McMahon; Steve A, Johnson; Thomas R, Raffel; John M, Romansic; Patrick W, Crumrine; Jason R, Rohr;

Community ecology theory predicts the effects of agrochemical mixtures on aquatic biodiversity and ecosystem properties

Abstract

AbstractEcosystems 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.

Keywords

Population Density, Fresh Water, Biodiversity, Biota, Invertebrates, Models, Biological, Phytoplankton, Animals, Agrochemicals, Ecosystem

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
119
Top 1%
Top 10%
Top 1%
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