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Article Dans Une Revue Science of the Total Environment Année : 2016

Experimental evidence of population differences in reproductive investment conditional on environmental stochasticity

Résumé

Environmental stochasticity is expected to shape life histories of species, wherein organisms subjected to strong environmental variation should display adaptive response by being able to tune their reproductive investment. For riverine ecosystems, climate models forecast an increase in the frequency and intensity of extreme events such as floods and droughts. The speed and the mechanisms by which organisms may adapt their reproductive investment are therefore of primary importance to understand how species will cope with such radical environmental changes. In the present study, we sampled spawners fromtwo different populations of wild brown trout, originating from two environments with contrasting levels of flow stochasticity. We placed them in sympatry within an experimental channel during reproductive season. In one modality, water flow was maintained constant, whereas in another modality, water flow was highly variable. Reproductive investment of all individuals was monitored usingweight and energetic plasma metabolite variation throughout the reproductive season. Only the populations originating fromthe most variable environment showed a plastic response to experimental manipulation of water flow, the females being able to reduce their weight variation (from 19.2% to 13.1%) and metabolites variations (from 84.2% to 18.6% for triglycerides for instance) under variable flow conditions. These results imply that mechanisms to cope with environmental stochasticity can differ between populations of the same species, where some populations can be plastic whereas other cannot
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Dates et versions

hal-01901365 , version 1 (22-10-2018)

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Zoé Gauthey, Stéphane Panserat, Arturo Elosegi, Alexandre Herman, Cédric Tentelier, et al.. Experimental evidence of population differences in reproductive investment conditional on environmental stochasticity. Science of the Total Environment, 2016, 541, pp.143-148. ⟨10.1016/j.scitotenv.2015.09.69⟩. ⟨hal-01901365⟩
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