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Freshwater systems in the Anthropocene: why we need to evaluate microplastics in the context of multiple stressors

F1000Research 2024 2 citations ? Citation count from OpenAlex, updated daily. May differ slightly from the publisher's own count. Score: 40 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Rachel K. Giles, Bonnie M. Hamilton

Summary

Real-world organisms are exposed to microplastics alongside many other environmental stressors — temperature change, chemical pollutants, habitat degradation — yet most lab studies test microplastics in isolation. This review argues that ecotoxicology needs to adopt a multi-stressor approach to truly understand how microplastics affect freshwater life at every level, from individual cells to whole ecosystems. Without this broader context, risk assessments will consistently underestimate the actual harm microplastics cause in nature.

Study Type Environmental

Microplastics are a diverse contaminant with complex physical and chemical properties. While microplastics have varying effects, most studies to date have focused on evaluating microplastics as a single stressor under stable environmental conditions. In reality, organisms are exposed to more than microplastics, and thus, it will be increasingly important to evaluate the effects of microplastics in the context of multiple anthropogenic stressors. Here, we highlight the need to assess the physical and chemical effects of microplastics, as well as their interactions with other anthropogenic stressors, at multiple levels of biological organization (i.e., sub-organismal, individual, population, community, ecosystem). We also outline research priorities and recommendations that will facilitate ecotoxicological assessments to better encompass the multidimensionality of microplastics as environmental conditions continue to change. By taking a multi-stressor ecotoxicological approach, we can work toward a better understanding of microplastic and other stressor effects at multiple levels of biological organization to help inform robust, evidenced-based policy and management decisions.

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