Meta-analysis of three-stressor combinations on population-level fitness reveal substantial higher-order interactions

Diamant, Eleanor S.; Boyd, Sada; Lozano‐Huntelman, Natalie Ann; Enriquez, Vivien; Kim, Alexis R; Savage, Van M.; Yeh, Pamela J.

doi:10.1016/j.scitotenv.2022.161163

Cited by 4 publications

(4 citation statements)

References 81 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Conversely, we found fewer emergent (higher-order) interactions in more complex mixtures, but these were increasingly more likely to be antagonistic in higher chemical complexity mixtures. These results are consistent with recent work which has found elevated instances of emergent antagonisms in mixtures with higher numbers of stressors, but also increased frequencies of net synergies (Beppler et al, 2016; Diamant et al, 2023; Tekin et al, 2020; Tekin, White, et al, 2018). Our experiments go far beyond the scope of these previous studies, which have tended to focus on the effects of fewer chemicals on model strains of bacteria (Beppler et al, 2016; Tekin et al, 2016).…”

Section: Discussionsupporting

confidence: 92%

Bacterial responses to complex mixtures of chemical pollutants

Smith

Clegg

Ransome

et al. 2023

Preprint

View full text Add to dashboard Cite

Our understanding of how microbes respond to pollutants is almost wholly based on single-species responses to individual chemicals. However, in natural environments, microbes experience the effects of multiple pollutants simultaneously, and their responses to these mixtures of chemicals may not be readily predictable based on their responses to each pollutant in isolation. Here we extended the scope and complexity of previous multi-stressor experiments by assaying the growth of model and non-model strains of bacteria in all 255 combinations of 8 chemical stressors. This approach allowed us to identify fitness effects arising from potential high-order interactions among stressor responses. We found that the bacterial strains responded in different ways to stressor mixtures, which could not be predicted simply from their phylogenetic relatedness. Responses to increasingly complex chemical mixtures were more likely to show a significant deviation from a null model based on the responses to each chemical alone. However, these net responses were mainly driven by lower-order interactions among a small number of chemicals, suggesting a limited role for complex high-order interactions. These results simplify the predictability of microbial populations and communities responding to multiple stressors, paving the way for the development of efficient next-generation eco-toxicological assays.

show abstract

Section: Discussionsupporting

confidence: 92%

Bacterial responses to complex mixtures of chemical pollutants

Smith

Clegg

Ransome

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…(3) Higher‐order interactions occur when multiple intensity interactions and/or effect interactions combine. In other words, the interactions between two stressors can be influenced by a third (Diamant et al., 2023). Examples of these high‐order interactions are rare in the literature—e.g., temperature‐dependent interactions between pesticides (Delnat et al., 2019) and complex suppressive interactions in three‐drug combinations (Beppler et al., 2017)—but they could be more prevalent in natural systems.…”

Section: Are Multiple‐stressor Experiments Observing Stressor Interac...mentioning

confidence: 99%

“…Even for three stressors, each tested at just two levels (i.e., presence vs. absence), the number of treatments increases from four to eight. Partial factorial designs (i.e., not testing all possible combinations) can be used to increase the feasibility of a study, but then only the net higher‐order interactions (encompassing unmeasured lower‐order interactions) can be quantified (Diamant et al., 2023). Indeed, 432 of the 672 experiments in our dataset that tested more than two stressors were partially factorial.…”

Section: Is There An ‘Ideal’ Multiple‐stressor Experiment?mentioning

confidence: 99%

Studying interactions among anthropogenic stressors in freshwater ecosystems: A systematic review of 2396 multiple‐stressor experiments

Orr,

Macaulay,

Mordente

et al. 2024

Ecology Letters

View full text Add to dashboard Cite

Understanding the interactions among anthropogenic stressors is critical for effective conservation and management of ecosystems. Freshwater scientists have invested considerable resources in conducting factorial experiments to disentangle stressor interactions by testing their individual and combined effects. However, the diversity of stressors and systems studied has hindered previous syntheses of this body of research. To overcome this challenge, we used a novel machine learning framework to identify relevant studies from over 235,000 publications. Our synthesis resulted in a new dataset of 2396 multiple‐stressor experiments in freshwater systems. By summarizing the methods used in these studies, quantifying trends in the popularity of the investigated stressors, and performing co‐occurrence analysis, we produce the most comprehensive overview of this diverse field of research to date. We provide both a taxonomy grouping the 909 investigated stressors into 31 classes and an open‐source and interactive version of the dataset (https://jamesaorr.shinyapps.io/freshwater‐multiple‐stressors/). Inspired by our results, we provide a framework to help clarify whether statistical interactions detected by factorial experiments align with stressor interactions of interest, and we outline general guidelines for the design of multiple‐stressor experiments relevant to any system. We conclude by highlighting the research directions required to better understand freshwater ecosystems facing multiple stressors.

show abstract

“…Thus, multiple drivers of global change typically act together under natural conditions and their effects may be more acute in combination than in isolation (Boyd & Brown, 2015;Griffen et al, 2016;Boyd et al, 2016b). The cumulative effects of multiple drivers though might be species-specific and may be more pronounced in populations exposed to multiple stressors (Diamant et al, 2023). Marine macroalgae are a key functional group in coastal ecosystems worldwide.…”

Section: Discussionmentioning

confidence: 99%

The combined effects of ocean acidification, warming and light on Caulerpa spp.: The role of inorganic carbon physiology and species’ ranges

taise

View full text Add to dashboard Cite

Caulerpa is a widely distributed genus of chlorophytes (green macroalgae) that is important for its dietary, social, and coastal ecosystem value. Ocean acidification (OA) and ocean warming (OW) both threaten to change the distribution of macroalgae in New Zealand and globally. Two of the most common Caulerpa species in Te Whanganui a Tara Wellington, Aotearoa New Zealand, Caulerpa brownii and C. geminata, could have vastly different responses to both OA and OW because of their divergent dissolved inorganic carbon (DIC) uptake strategies and distance from range edge. However, responses to both stressors of OA and OW could be heavily mediated by light. To address these concerns, I conducted four manipulative laboratory experiments to test the effects of OA, OW and marine heatwaves (MHWs), and light and interactive effects of two or more stressors on Caulerpa species.Responses in physiology and photo-physiology of both Caulerpa species to OA suggest that those macroalgae without a CO2 concentrating mechanism (CCM) and relying solely on diffusive CO2 for DIC will benefit more from OA due to the benefits of alleviation of current DIC limitation than those species which possess a CCM that are not currently DIC limited. Physiological and photo-physiological responses to OA were significantly impacted by irradiance, demonstrating the role of irradiance in mediating DIC physiology in Caulerpa species tested. I found that any benefits received from elevated CO2 under OA may be dependent on energy limitations which in turn affects photo-physiology differentially depending on the DIC uptake strategy operating. Growth and photosynthesis responses of Caulerpa spp., demonstrated that the species with a warm edge distribution in Wellington was more negatively impacted by OW than the species with a cold edge in Wellington, which was more tolerant to OW and MHWs. Exposure to multiple stressors (OA, OW, reduced irradiance) of a future ocean exhibited less severe responses to a combined stressors effect than the singular stressor effects. Overall, my research contributed new knowledge to add to literature about the effects of ocean change on macroalgae with various DIC uptake mechanism and distribution edge positions. The findings here provide evidence that for chlorophytes, especially Caulerpa spp., some species will likely survive under OA in future OW and reduced irradiance conditions in Wellington unless irradiance is further limited. These results suggest a shift in distribution range of Caulerpa spp. in New Zealand can be expected that could potentially change the community structure in these locations.

show abstract

Meta-analysis of three-stressor combinations on population-level fitness reveal substantial higher-order interactions

Cited by 4 publications

References 81 publications

Bacterial responses to complex mixtures of chemical pollutants

Bacterial responses to complex mixtures of chemical pollutants

Studying interactions among anthropogenic stressors in freshwater ecosystems: A systematic review of 2396 multiple‐stressor experiments

The combined effects of ocean acidification, warming and light on Caulerpa spp.: The role of inorganic carbon physiology and species’ ranges

Contact Info

Product

Resources

About