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openalexFrontiers in Marine Science2026-07-24Cited by 0

Cold seeps: climate relevance and anthropogenic impacts

Daniel M. Labbé, Heidi Gartner, Anya Dunham, Sophia Johannessen, Cherisse Du Preez

Cold seeps are deep-sea benthic features which emit hydrocarbon-rich fluids (primarily methane), representing notable conduits for carbon from long-term geologic stores to the hydrosphere. Methane is a potent greenhouse gas with substantial implications for earth’s climate. Due to their global distribution, cold seeps and their associated ecosystems have a potentially significant, and often overlooked, role in global carbon cycling. Cold seeps host extensive chemosynthetic communities with cascading ecological impacts to nearby deep-sea ecosystems and provide carbon-regulating (“blue carbon”) services. Herein, we view cold seeps through the blue carbon lens, highlighting their climate-regulating services, which include: 1) geologic carbon reservoirs in methane hydrates and carbonate minerals; 2) natural carbon emission reduction through chemoautotrophic methane oxidation and the physical blockage of vents; and 3) carbon recycling and sequestration mediated by diverse biological communities which store carbon as biomass, recycle methane-derived carbon, and enhance carbon burial. Our perspective also considers anthropogenic stressors, such as bottom contact fishing, ecosystem engineering projects, and climate-driven changes (warming, deoxygenation, acidification), that may threaten these services. These activities can destroy cold seep ecosystems, alter fluid emissions, disturb benthic sediments, damage vulnerable benthic habitats, and destabilize carbon reservoirs, consequently impairing carbon storage, natural emission reduction, and recycling processes at cold seeps. This new perspective discusses the carbon-cycling services of cold seeps and their ecosystems and underscores their potential liability as climate-relevant methane sources, if they are damaged by human activities. For these reasons, future research is needed to better quantify the blue carbon services of cold seeps, to advance management and conservation.

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openalexFrontiers in Marine Science2026-07-24

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Long-term coastal monitoring networks provide the opportunity to evaluate how water-quality predictability varies across contrasting coastal bays. However, most machine learning studies focused on individual stations, optically active variables or short validation periods. We ana…

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openalexFrontiers in Marine Science2026-07-24

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openalexFrontiers in Marine Science2026-07-24

Corridor-scale sea-ice navigability and its interannual volatility: a multi-model assessment of the Arctic Europe–Pacific route

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openalexFrontiers in Marine Science2026-07-23

Machine learning predictions for microbial eukaryotic plankton: implications from unevenly structured data

Christian Marchese, María Laura Zoffoli, Pierre Ramond, Timotej Turk Dermastia, Tinkara Tinta, Ramiro Logares, et al.

Machine learning models provide a scalable approach for predicting the diversity of eukaryotic microbial plankton from environmental predictors. However, the extent to which these models generalize to data outside the training set remains poorly quantified. In this study, XGBoost…

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openalexFrontiers in Marine Science2026-07-23

Effects of ultraviolet-B radiation on the reproduction, germling growth, and physio-biochemical characteristics of green alga Ulva pertusa (Chlorophyta)

Jie Zhang, Hengjiang Cai, Siqi Hu, Wenjing Xie, Weiyao Zhao, Wenfei Gu, et al.

Introduction Enhanced ultraviolet-B (UV-B, 280-320nm) radiation caused by ozone depletion is a global environmental issue. Ulva pertusa Kjellman (Chlorophyta) is often found in shallow intertidal environments exposed to ambient solar radiation. Therefore, the effects of UV-B radi…

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