The issue of plastic in the marine environment is a growing concern. Images of floating plastic island are often found in mainstream press publications. In this study, we focus on such an episode that occurred in October 2017 near the island of Roatan in the Gulf of Honduras. Our objective is to find out if Lyapunov Exponents, a type of Lagrangian Coherent Structure diagnostic can characterize such plastic accumulations. We use routinely available weather and ocean model data as inputs to a Lagrangian drift model. With the drift simulation outputs we compute the Lyapunov exponents. We perform sensitivity studies by varying the separation ratio value, the wind coefficient, the start date and the simulation duration to investigate the ability of the Lyapunov exponents to provide useful information. We find that with the right settings, Lyapunov Exponents can indeed highlight areas of plastic accumulation and their transient nature in coastal seas.

Eleven organophosphate esters (OPEs) in air and seawater were investigated from the Northwestern Pacific to the Arctic Ocean. The concentration of Σ₁₁OPEs in air and seawater ranged from 231.56 to 1884.25 pg/m³ and from 8.47 to 143.45 ng/L, respectively. Halogenated OPEs dominated in both two media. The slight decreasing trend was observed for OPEs in gaseous air, no obvious trend for particle-bound OPEs and in seawater. The net air-seawater exchange flux ranged from −792.68 to 590.29 pg/m²/day. The dry deposition flux ranged from 16.4 to 185 ng/m²/day with high value observed at the Bering Strait (64.70 ng/m²/day). The relationship between temperature and OPEs particle-bound fractions suggests that temperature might be a driving factor of OPEs long-range atmospheric transport (LRAT). This research highlighted that OPEs are subject to LRAT from the Asian continent to the northwestern Pacific and Arctic Oceans and demonstrated the “sink” in polar regions of OPEs atmospheric transportation.

We report here for the first time the effectiveness of Reteporella bryozoan genus in the early stage of coralligenous reefs recolonization through the analysis of the settlement and the population size structure over a two-years period at two impacted and two control sites. Results highlighted how Reteporella spp. colonies strongly recolonized, from 2017 to 2019, the bare coralligenous reefs subjected to the Costa Concordia shipwreck and its related anthropogenic disturbances, notably increasing both their density and percentage coverage. We recorded differences in colony size among impacted and control sites. Overall, large-sized colonies were reported at impacted sites exclusively, where Reteporella settlement and growth patterns differed if compared to control areas. This study highlights implications for the maintenance of the ecological functions, for the recovery processes, and for the future ecological shifts affecting one of the most important Mediterranean coastal ecosystems, the coralligenous reefs.

With the increase in human activities, dissolved organic nitrogen (DON) has been the major nitrogen pool, which might impact on eutrophication of coastal water. We studied the bioavailability of different molecular size DON from the major sources of agricultural, domestic, industrial, and urban non-point source, respectively, in Jiaozhou bay, China. By clarifying the relationship between the source and molecular size, the bioavailability of terrestrial DON can be further understood based on the aspects of bioavailability proportion (BDON%) and kinetics with the help of ultraviolet radiation. The bioavailability proportion of high molecular size DON (HDON; >1000 Da) was higher than that of low molecular size DON (LDON; <1000 Da), with values of 58.0% to 35.1% for the HDON and values of 47.2% to 29.5% for the LDON, respectively. There were significant differences in the degradation rate constants (p < 0.05), which varied from 0.30 to 0.67 d⁻¹ for HDON and from 0.13 to 0.75 d⁻¹ for LDON. The SUVA₂₅₄ values were significantly and negatively correlated with the bioavailabilities of DON, which can reflect to some extent the structure and molecular size. In order to study the influences of the different terrestrial DON inputs on the eutrophication of Jiaozhou bay, a modified 3D coupled biogeochemical model was used based on the survey data in August 2012. Two scenarios of DON loads from Haibo river and Dagu river were modeled. The impact on eutrophication of Jiaozhou bay is higher for the agricultural source of DON from Dagu river than for the domestic source from Haibo river.

At the end of March 2020, ivermectin was confirmed as a drug for COVID-19 treatment. A significant amount of ivermectin could deposit into sediments of the semi-closed Mediterranean Sea, where three European COVID-19 epicenters are located: Italy, Spain, and France. Meiobenthic nematodes were exposed to three ivermectin doses (1.8 ng.g⁻¹, 9 ng.g⁻¹, and 18 ng.g⁻¹) for 10 days. Ivermectin caused a great reduction in abundance. However, the diversity indices decreased only at high doses. Ivermectin disadvantaged the 1B-Cr-Id functional type (non-selective deposit feeders and nematodes with circular or indistinct amphids) and benefited the 2A-REL-Sp type (epistrate feeders and nematodes with rounded or elongated loop amphids). Thus, Trophic Diversity and Amphideal Diversity index values increased with sedimentary ivermectin enrichment. Large amphideal foveas were more efficient for 2A-REL-Sp nematodes to avoid ivermectin. The responses of the functional type 2A-REL-Sp and corresponding taxa predict post-COVID-19 environmental concerns and the bioaccumulation of ivermectin in seafoods.

River and coastal sediments were collected at 17 stations in Ulsan, the largest industrial city in South Korea, to evaluate the levels, profiles, emission sources, and spatial distribution of polycyclic aromatic hydrocarbons (PAHs). The mean concentration of Σ₁₆ PAHs was 722 ng/g, and fluoranthene was a predominant compound. PAHs with 4–6 rings showed higher proportions than PAHs with 2–3 rings. The stations located near industrial complexes showed elevated levels of indicator compounds for petroleum, coal, coke, and fuel combustion. Therefore, petrochemical industries, coal pier, non-ferrous industries, and vehicles were identified as the emission sources. As industrialization and urbanization progressed, an increase in PAH levels and profile changes were observed as a result of the increasing industrial fuel consumption and the increasing number of vehicles. This is the first study that confirmed the change of PAHs in sediment caused by the change of emission sources over time in Ulsan.

Arsenic (As) is a toxic metalloid associated with various negative human health impacts including cancer, skin lesions, cardiovascular diseases, and diabetes. Arsenic contamination of groundwater and soil is a major human health issue, particularly in South and Southeast Asia. Use of As-contaminated groundwater from shallow tube wells for irrigation of paddy rice, the staple food for people in this region, is one of the causes of As-related health impacts. The anaerobic growing conditions of flooded rice paddies and the unique physiology of the rice plants lead to increased As levels in rice. The World Health Organization (WHO) has set advisory levels of As in polished (i.e., white) rice grain at 0.2 mg/kg, but the EU and USA are yet to set legal standards for As in rice and rice-based products. Strategies for lowering As accumulation in rice revolve around two approaches—agronomic and biotechnological. Agronomic approaches, such as mineral supplementation of soil using iron, phosphorus, sulfur, silicon, water management, soil aeration practices, and the use of biological agents, are designed to lower As solubility, and uptake by rice. Rotation of the rice crop with As accumulating plants could also result in lowering soil As. Biotechnological approaches involve producing transgenic rice varieties by altering the expression of genes involved in As uptake, translocation, and sequestration in the plant. These approaches, combined with proper diet management and creating public awareness on potential health risks resulting from chronic exposure to As in rice, could play a key role in risk reduction.

As an important ecological process, litter production is generally recognized as being directly relevant to net primary productivity and carbon storage of mangrove ecosystems. In the present study, we made continuous, monthly assessment of litter production from 2010 to 2016 for five mangrove sites in Shenzhen Futian Mangrove Nature Reserve. Results showed that all mangrove locations displayed distinct seasonality in litter production, and that the alien species produced significantly more litters than the native species. Carbon isotope analysis revealed an interesting, strongly negative relationship between litter production and δ¹³C of leaf litter (δ¹³CLL) among the five studied sites. Although it has long been known that δ¹³C of plant leaves correlates with water use efficiency and some components of plant productivity, the observed δ¹³CLL-litter production linkage is novel, justifying future exploration of δ¹³CLL as an potential indicator of litter production and net primary productivity in mangrove ecosystems.

Oil spill risk assessments are important tools for the offshore oil and gas industries to minimize the consequences of deep spills. The stochastic modeling required in this kind of studies, is generally centered on surface transport and based on a Monte Carlo selection of hundreds or thousands of met-ocean scenarios from reanalysis databases, to create an ensemble of spill simulations. We propose a new integrated stochastic modeling methodology including both surface and subsurface transport, based on the specific selection of the most relevant environmental conditions through data-mining techniques. The methodology was applied to evaluate oil contamination probability as a consequence of a simulated deep release in the North Sea. Our results show the effectiveness of the proposed methodology to select representative evolutions of met-ocean conditions and to obtain pollution probabilities from an integrated subsurface and surface oil spill stochastic modeling, while assuring a manageable computational effort.