The numbers behind the review are striking. Mangroves can hold up to 1,023 megagrams of carbon per hectare below ground, supported by anoxic, sulfate-reducing sediments and vertical accretion rates of 3 to 10 millimetres per year. Salt marshes sequester between 150 and 250 grams of carbon per square metre annually, while seagrass meadows bury 30 to 218 grams per square metre each year. Per unit area, these figures rival or exceed the sequestration rates of tropical rainforests, and salt marshes have been reported to store up to ten times more carbon per hectare than many terrestrial ecosystems. Because roughly half of all photosynthesis on Earth occurs in the ocean, the marine carbon cycle exerts a profound influence on atmospheric chemistry, and vegetated coastal habitats sit at the sharp end of that cycle.

The secret to mangrove carbon storage lies largely underground. Between 50 and 70 percent of the carbon in a mangrove forest resides in roots and soils, where prop roots, pneumatophores and fine root networks continuously deliver organic matter to the sediment. Waterlogged, oxygen-poor conditions suppress aerobic decomposition, forcing microbes down slower metabolic pathways such as fermentation and sulfate reduction. As a result, organic matter in mangrove soils breaks down three to ten times more slowly than in upland soils. The leaves and woody tissue of mangroves add another layer of defence, containing high concentrations of lignin, tannins and other polyphenolic compounds that resist microbial attack, extending the residence time of carbon in the sediment for centuries or even millennia.

Physical processes reinforce the biological ones. Dense canopies and root mats slow water flow, trapping fine mineral and organic particles delivered by rivers, tides and waves. This promotes vertical accretion, allowing mangroves in sediment-rich regions to accumulate surface elevation at rates exceeding 10 millimetres per year, which helps them keep pace with moderate sea-level rise while continuously burying carbon. Salt marshes operate on similar principles, trapping suspended sediments and building elevation under favourable tidal conditions. Seagrass meadows, descended from land plants that returned to the sea roughly 100 million years ago, stabilise sediments with dense root and rhizome mats, and global syntheses indicate they can store roughly twice as much carbon per hectare as terrestrial forests. Nutrient supply through their roots allows seagrasses to keep accumulating carbon even in otherwise nutrient-poor waters.

Microbes and algae add further dimensions to the story. The review highlights the microbial carbon pump, a process by which marine bacteria convert labile organic matter into refractory dissolved organic carbon that resists degradation and persists in the ocean for long periods. Alongside the biological pump, which transports roughly 10 to 15 percent of ocean primary production into the deep sea, and microbially induced carbonate precipitation, these mechanisms extend carbon storage far beyond the coastal zone. Macroalgae contribute as well, with an estimated 90 percent of algal carbon sequestration exported to the deep sea and the remainder buried in coastal sediments. Microalgae, which fix carbon dioxide at rates up to ten times more efficient per unit of solar energy than terrestrial plants, are attracting attention as candidates for engineered carbon removal.

Yet the review is equally clear about the fragility of these systems. Disturbance can flip a blue carbon sink into a carbon source with alarming speed. Converting mangrove forests to aquaculture ponds can release carbon at rates up to 50 times higher than the sequestration achieved by intact forests, while deforestation and hydrological alteration raise emissions to levels 10 to 40 times above normal sequestration. Drainage and aeration of organic-rich soils accelerate decomposition, and sediment erosion exposes long-buried carbon to oxidation. Methane generation under shifting hydrological regimes adds another greenhouse gas pathway. The authors also flag bioturbation as a double-edged factor: crabs remove an average of 87 percent of daily mangrove litter fall in some Thai forests, and burrowing animals in marshes and seagrass beds alter sediment mixing, burial depth and porewater exchange in ways that can either aid or undermine carbon retention.

Environmental drivers complicate the picture further. Moderate sea-level rise can actually enhance carbon burial by encouraging sediment trapping and peat formation, but rapid rise can drown marshes and mangroves, releasing stored carbon and, in some conditions, promoting methane and nitrous oxide emissions. Elevated temperatures accelerate decomposition of tropical wetland soils, stronger storms erode seagrass meadows and their carbon reserves, and Mediterranean droughts have reduced primary production in Posidonia oceanica meadows. Hydrology matters enormously: tidal connection in mangroves raises sediment deposition from less than 2 millimetres per year in restricted systems to more than 10 millimetres per year in open tidal habitats, and carbon accumulation in salt marshes correlates strongly with tidal amplitude. Nutrients cut both ways, since moderate nitrogen and phosphorus inputs stimulate productivity while excessive loading from agriculture and wastewater drives algal blooms, reduces water clarity and accelerates greenhouse gas emissions.

The pollution control function of blue carbon ecosystems is one of the review’s most intriguing threads. Mangrove and salt marsh root systems slow water flow and promote deposition of suspended particles, immobilising heavy metals such as lead, cadmium and zinc, along with hydrocarbons and persistent organic pollutants, in anoxic soils. Seagrass canopies trap fine particles and microplastics, reducing their transport into coastal waters, while plant uptake and microbial denitrification remove excess nitrogen and improve water quality. Mangrove sediments have even been identified as major sinks for plastic burial. However, the authors caution that accumulating plastics impose physical stress on organisms, risk ingestion by invertebrates and fish, and may alter sediment structure and microbial activity in ways that could affect organic carbon burial and greenhouse gas fluxes, making the interaction between pollution and carbon storage a priority research area.

Restoration offers genuine grounds for optimism. Meta-analyses and long-term field studies indicate that restored mangroves, salt marshes and seagrass beds can recover 50 to 90 percent of depleted carbon stocks over several decades, with some planted mangroves regaining significant portions of ecosystem carbon in under 20 years. Restored seagrass meadows have achieved carbon accumulation rates of roughly 20 to 40 grams per square metre per year within a decade, and managed realignment of salt marshes has produced rapid carbon accumulation in its early years. Measurement techniques are advancing in parallel, with lidar remote sensing enabling precise biomass estimates in inaccessible terrain, sediment coring paired with radiometric dating revealing long-term storage, and GIS-based carbon budgeting scaling local measurements to regional estimates.

The policy implications are substantial. Mangroves alone are estimated to capture up to 42 million tons of carbon annually worldwide, and blue carbon offsetting is emerging as a mechanism for channelling finance into coastal conservation, with co-benefits spanning storm protection, fisheries support and biodiversity. The authors argue that realising this potential requires marine protected areas, hydrological restoration, catchment-level management of nutrient inputs, standardised monitoring protocols and integration of blue carbon into national climate strategies and carbon markets. The IPCC’s Sixth Assessment Report recognises ecosystem restoration as a significant natural option for boosting carbon burial and coastal resilience. As the review concludes, protecting intact mangroves, marshes and meadows is not merely a carbon accounting exercise; it is an investment in living infrastructure that filters pollutants, buffers storms and quietly performs one of the most valuable services on the planet, one gram of buried carbon at a time.

Subject of Research: Blue carbon sequestration mechanisms and pollution control in coastal ecosystems for climate change mitigation

Article Title: Mechanisms, processes, and implications of blue carbon sequestration and pollution control for climate change mitigation

Article References: Dinakarkumar, Y., Selvam, M. M., Inayathullah, N., Pavithra, K. S., Mallikarjuna, H. N., Indhusuvitha, S., Jebacani, M. J., Romauld, S. I., & Muthezhilan, R. (2026). Mechanisms, processes, and implications of blue carbon sequestration and pollution control for climate change mitigation. Discover Oceans, 3(1), Article 5. https://doi.org/10.1007/s44289-026-00118-4

Image Credits: AI Generated

DOI: 10.1007/s44289-026-00118-4

Keywords: blue carbon, mangroves, salt marshes, seagrass meadows, carbon sequestration, climate change mitigation, coastal ecosystems, sediment carbon burial, pollution control, sea-level rise, ecosystem restoration, microbial carbon pump

The authors’ diagnosis begins with a problem that anyone who has browsed recent environmental chemistry literature will recognize: research homogenization. Across thousands of laboratories worldwide, similar catalytic materials are synthesized, tested against similar model pollutants such as dyes and antibiotics under similar idealized conditions, and published with only incremental variations. This conformity, the researchers contend, produces an illusion of productivity while draining the field of the originality that historically drove its most transformative breakthroughs. When every study optimizes the same few variables, genuinely novel hypotheses about pollutant transformation, toxicity, and environmental persistence are crowded out. The perspective calls for a deliberate return to the discipline’s mechanistic roots, arguing that fundamental studies of interfacial reaction kinetics, the behavior of reactive radical species at catalyst surfaces, and the principles of molecular recognition that govern how pollutants bind to and react with environmental materials must be strengthened rather than displaced by fashionable applications.

This emphasis on mechanism is not nostalgia, the authors insist, but a prerequisite for the cross-disciplinary innovations that the field increasingly demands. Interfacial reaction kinetics, the study of how quickly and by what pathways chemical reactions proceed at the boundary between a solid catalyst and a contaminated liquid or gas, determines whether a promising water-treatment technology can ever achieve the throughput and stability required outside the laboratory. Radical pathways, which involve highly reactive intermediate species capable of degrading otherwise recalcitrant contaminants such as per- and polyfluoroalkyl substances, remain incompletely understood even in systems that have been studied for years. Without an interpretable physicochemical foundation, the researchers argue, scientists cannot reliably predict when a treatment will work, when it will produce harmful byproducts, or how it will behave in the complicated matrices of actual wastewater, groundwater, or industrial effluent. Mechanism, in their framing, is the common language that allows environmental chemists to collaborate credibly with materials scientists, engineers, and computational specialists.

The second pillar of the roadmap addresses what the authors describe as the “last mile” problem: the persistent failure of high-performance laboratory materials to translate into practical environmental technologies. Countless papers report catalysts or sorbents that achieve near-complete removal of target pollutants in deionized water and idealized batch reactors, yet relatively few of these advances ever reach an operating treatment plant or remediation site. The perspective attributes this gap to a lack of engineering thinking at the research design stage. Real water matrices contain natural organic matter, competing ions, suspended solids, and fluctuating pH, all of which can poison catalysts, compete for adsorption sites, or generate unintended reaction products. Fouling, pressure drop, energy consumption, reagent cost, and catalyst regeneration over thousands of operational cycles are rarely considered until long after a material’s molecular design has been fixed, at which point redesign is expensive and often impossible.

To close this gap, the authors advocate embedding engineering considerations from the very beginning of a research project. Life-cycle assessment, a systematic method for quantifying the environmental impacts of a technology from raw material extraction through manufacturing, use, and disposal, should be integrated into early-stage development so that a treatment that removes one pollutant does not simply shift environmental burdens elsewhere, for example by consuming scarce metals or generating toxic sludge. Testing must move from synthetic solutions to authentic or realistically simulated water matrices, and performance metrics should include operational durability and cost, not only removal efficiency in a single experiment. The researchers argue that this shift requires cultural change as much as technical change: graduate training, funding criteria, and publication norms all currently reward novelty at small scale over the unglamorous but essential work of demonstrating that a technology survives contact with reality.

The third and perhaps most timely pillar concerns artificial intelligence. Machine learning has swept into environmental chemistry with remarkable speed, with algorithms now used to screen candidate catalysts, predict degradation products, optimize advanced oxidation processes, and mine the growing torrent of environmental monitoring data for patterns no human analyst could detect. The perspective embraces these capabilities but issues a clear warning: AI should be positioned as an auxiliary tool, not a universal solution. Pattern-recognition models excel at identifying correlations in large datasets and accelerating hypothesis generation and process optimization, but they do not, by themselves, establish causation or reveal mechanism. A neural network can predict that a certain combination of catalyst composition and oxidant dose yields high pollutant removal, yet remain silent on why, leaving researchers unable to anticipate when the prediction will fail under new conditions.

The authors therefore call for mechanistic validation and causality scrutiny to accompany every AI-assisted claim. Predictions should be treated as hypotheses to be tested through carefully designed experiments, not as conclusions in their own right. Interpretable models, physical constraints embedded in learning algorithms, and experimental verification of predicted intermediates are among the safeguards the researchers propose. In their vision, artificial intelligence and classical environmental chemistry form a mutually reinforcing loop rather than a replacement relationship: machine learning proposes, experiments validate, and validated mechanisms feed back into better models. This closed-loop paradigm, which the authors summarize as hypothesis, prediction, and validation, integrates empirical research, AI-assisted analytics, and collaborative platforms spanning academia, industry, and government, ensuring that computational power amplifies rather than substitutes for chemical insight.

The collaboration component deserves particular attention. Environmental problems such as emerging contaminants, microplastics, and diffuse nutrient pollution cross administrative and disciplinary boundaries, and no single laboratory can address them alone. The perspective envisions academia-industry-government platforms in which companies supply real-world performance data and deployment challenges, universities contribute mechanistic expertise and early-stage innovation, and regulators define the risk benchmarks that technologies must ultimately satisfy. Such platforms, the authors suggest, would help align research agendas with genuine societal needs, reducing the incentive to chase publishable but practically irrelevant results. They would also create channels for the long-term field data that environmental chemistry critically lacks, since most laboratory studies capture minutes to weeks of behavior while treatment systems must perform reliably for years.

The article’s authors, drawn from institutions including Nanjing University, Zhejiang University, Nankai University, Michigan State University, the Research Center for Eco-Environmental Sciences, and East China University of Science and Technology, represent exactly the cross-disciplinary coalition they advocate, spanning catalysis, soil science, sensing technology, and environmental engineering. Their collective message is ultimately an optimistic one. The tools available to environmental chemists, from operando spectroscopy that watches reactions unfold on catalyst surfaces to foundation models trained on chemical literature, are more powerful than at any point in the discipline’s history. What is needed, the researchers conclude, is the discipline to use them deliberately: strengthening mechanism as its scientific foundation, adopting engineering thinking as its practical compass, and treating artificial intelligence as a capable assistant whose outputs always face experimental scrutiny. If the field can evolve from homogenized competition toward original, deployment-ready breakthroughs, environmental chemistry will be positioned to deliver the tangible environmental benefits, cleaner water, safer soils, and healthier ecosystems, that motivated its founding in the first place.

Subject of Research: Future directions of environmental chemistry including mechanistic research, engineering translation, and AI-enabled research pathways

Article Title: Environmental chemistry for the future: challenges, applications, and new AI-enabled pathways

Article References: Weng, B., Zheng, M., Wu, L., Chen, W., Gu, C., Mao, L., Li, H., Chu, C., Sui, Q., Zhang, W., Shi, W., Xia, Q., Zhang, S., & Pan, Y. (2026). Environmental chemistry for the future: challenges, applications, and new AI-enabled pathways. ENGINEERING Environment, 20(12), Article 193. https://doi.org/10.1007/s11783-026-2293-7

Image Credits: AI Generated

DOI: 10.1007/s11783-026-2293-7

Keywords: environmental chemistry, artificial intelligence, machine learning, mechanism investigation, engineering thinking, life-cycle assessment, interfacial reaction kinetics, radical pathways, molecular recognition, water treatment, research homogenization, practical implementation