2021
DOI: 10.1038/s41598-021-83533-1
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Environmental stressors, complex interactions and marine benthic communities’ responses

Abstract: The increasing number and diversity of anthropogenic stressors in marine habitats have multiple negative impacts on biological systems, biodiversity and ecosystem functions. Methods to assess cumulative effects include experimental manipulations, which may identify non-linear responses (i.e. synergies, antagonisms). However, experiments designed to test these ideas are uncommon, generally focusing on single biological responses. We conducted a manipulative experiment to investigate the isolated and combined ef… Show more

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Cited by 58 publications
(33 citation statements)
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“…Instead, OW and OA had synergistic deleterious effects on fitness on generation 0, but antagonistic effects on generation that counterbalance the individual effects of OW and OA (Supplementary Table 4). We suggest that the limited evolutionary rescue under OWA conditions in our study must have arisen from an antagonistic interaction between warming and acidification, as has been hypothesized earlier in polychaetes 19,20,48 or for other co-occurring environmental stressors in bivalves 49 . Thus, since OW and OA are occurring simultaneously, even crude predictions of population performance under climate change should consider nonadditive effects of temperature and CO2 interactions on population fitness.…”
Section: Discussionsupporting
confidence: 59%
“…Instead, OW and OA had synergistic deleterious effects on fitness on generation 0, but antagonistic effects on generation that counterbalance the individual effects of OW and OA (Supplementary Table 4). We suggest that the limited evolutionary rescue under OWA conditions in our study must have arisen from an antagonistic interaction between warming and acidification, as has been hypothesized earlier in polychaetes 19,20,48 or for other co-occurring environmental stressors in bivalves 49 . Thus, since OW and OA are occurring simultaneously, even crude predictions of population performance under climate change should consider nonadditive effects of temperature and CO2 interactions on population fitness.…”
Section: Discussionsupporting
confidence: 59%
“…The "additive null model" (A+B) is derived by building the sum of the interactions. This null model can easily be used for continuous response variables such as growth, Chlorophyll a concentration, or shell mineralization, but can cause problems when being applied to limited response variables such as mortality (Piggott et al, 2015;Côté et al, 2016;Carrier-Belleau et al, 2021). For such variables using a "multiplicative null model" (A+B-A * B) can correct over-estimations exceeding 100%.…”
Section: Multiple Driver Interactions Under Climate Change and Their Influence On Rocky Intertidal Systemsmentioning
confidence: 99%
“…For a better understanding of how rocky shores will be affected, the inclusion of both fluctuations and mean values of temperature, CO 2 level, and pH in experiments is, therefore, essential (Wernberg et al, 2013). As these parameters won't change uniformly over the globe we propose to use a combination of globalized and localized climate models in order to set realistic experimental variables for the location you want to apply your investigations to Allendorf et al (2001) and Carrier-Belleau et al (2021).…”
Section: Realistic Climate Change Scenarios-inclusion Of Driver Fluctuationsmentioning
confidence: 99%
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