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Record W4416767016 · doi:10.3389/fsci.2025.1734228

Plastic pollution and climate change: insights from a One Health perspective

2025· article· en· W4416767016 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueFrontiers in Science · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicMicroplastics and Plastic Pollution
Canadian institutionsEnvironment and Climate Change Canada
Fundersnot available
KeywordsClimate changeFraming (construction)Plastic pollutionBiodiversityHazardGlobal warmingPerspective (graphical)Environmental issueWildlife

Abstract

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Both plastic pollution and climate change have been the focus of international negotiations, large, targeted science programs, and ongoing debate over the best solutions. The policy spaces for these two issues have developed separately but in parallel for decades (Borrelle et al. 2017;Kumar et al. 2021). While biodiversity loss is another environmental concern, recent conventions and targets now recognize both climate change and plastic pollution as central global threats to biodiversity under the recent Kunming-Montreal Global Biodiversity Framework (targets 7 and 8; https://www.cbd.int/gbf).Plastic pollution and climate change have shaped environmental priorities and policy agendas for over two decades. In their Frontiers in Science lead article, Kelly et al. (2025) outline several interactions between these stressors-some well-established, others less studied-and discuss potential solutions. Notably, they emphasize the hazards that both plastic pollution and climate change pose to the environment. It is this hazard framing that is important to note and perhaps warrants more critical evaluation.Beyond their interconnected sources and policy development, these two challenges share key similarities relevant to both hazards and solutions. Each threatens environmental and human health, and neither spares any region. Both are long-term global problems: even if solutions were implemented immediately, legacy emissions would continue to affect ecosystems and people for years to come. Therefore, while solutions are critical, we must also ask how environmental scientists can best advance research that supports evidence-based decisionmaking for improved outcomes?Working within a research group that is mandated to study wildlife health, including plastic pollution, contaminants, parasites, and pathogens through the lens of climate change, I often find concepts and tools that bridge ecotoxicology and disease ecology useful. Our group One Health, introduced more than two decades ago, has re-emerged as a global priority since the COVID-19 pandemic. While the One Health (or EcoHealth) approach is often interpreted as human-centered and pathogen-focused, there is growing momentum to broaden its scope beyond the gravitation pull of public health (Stephen et al. 2023). Historically, public health framing casts animals and the environment mainly as sources of harm (e.g. pathogens). Stephen et al. (2023), however, argues for re-centering One Health principles to consider harms to biodiversity and promote health equity across human groups and animal populations alike, an approach that can strengthen conservation outcomes. Health equity is particularly important when prioritizing solutions for climate change and plastic pollution.These challenges do not have universal solutions: actions effective in one region may fail in another. Solutions are best developed within a settings-based approach that accounts for local drivers of health and targets context-specific interventions to reduce hazards from these dual threats. While connecting plastic pollution and One Health is not a new concept (Prata et al. 2021), the continued escalation of these global environment threats demands further exploration of this integrated approach.One Health also emphasizes the link between research, policy and action through wholesystems thinking (Parkes 2021;Pepin et al. 2024). This approach is particularly important for climate change and plastic pollution science. Both discovery and applied research are critical, yet policy-driven science is essential during this era of policy formulation and implementation. No single policy can solve these issues; instead, a mosaic of municipal, regional, national and international policies is emerging. Whole-systems thinking helps identify policy gaps and understand the barriers and enablers that shape real-world solutions.Recognizing the policy landscape and its drivers are critical for designing research that reflects complex, interacting systems.Within the One Health framework, another useful concept for addressing multiple stressors is the Harm Reduction Approach, long used in public health sectors and now increasingly applied to environmental studies (Stephen et al. 2018;Gallagher et al. 2021). Harm reduction acknowledges that not all harm can be eliminated, focusing instead on actions that minimize it (Stephen et al. 2018). Both plastic pollution and climate change are omnipresent, arising as by-products of industrial advances that have improved health metrics of billions of people across the globe. The improvement in global health care systems due to plastic personal protection equipment and tools, and fossil fuels in powering health infrastructure illustrates this tension: technologies that enhance human health can simultaneously harm ecosystems.The challenge now is to reduce environmental damage without undermining human wellbeing -a goal aligned with harm reduction principles.As Stephen (2021) notes, harm reduction is both a goal and a process. Applying this approach to climate change and plastic pollution collectively encourages action and solutions where harm is greatest and prevention where systems remain intact. It directs attention to localized, collaborative solutions that minimize harm and enhance outcomes. The case of plastic straws illustrates this balance: campaigns to 'ban the straw'-motivated by images of a plastic straw being removed from the nose of a turtle-aimed to reduce harm to wildlife but inadvertently affected people with disabilities who rely on straws to consume fluids. The confusion between banning straws altogether and banning plastic straws exemplifies the importance of inclusive harm reduction thinking (Wong 2018). inform policy on both fronts-an approach that reflects One Health thinking. I urge researchers to take this further: design studies that examine how these threats interact and explore solutions that yield co-benefits. What kinds of research can reveal synergies between mitigation strategies? How can we prioritize regions or ecosystems most vulnerable to compounded harm? Granting agencies should support integrated research that advances solutions to these "wicked" problems.Lastly, we must consider how results are communicated and used by policymakers. We cannot rely on a "Field of Dreams" mentality-if we write it, they will use it. As researchers we must be active players in two-way exchanges with decision-makers to connect complex issues and co-develop harm reduction strategies that improve environmental health.Integrating One Health and Harm Reduction approaches is essential for shaping both science and policy around these dual threats and must be embedded throughout the full researchpolicy cycle.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.295
Threshold uncertainty score0.404

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.010
GPT teacher head0.240
Teacher spread0.229 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it