Environmental Sciences Europe最新文献

Eco-labels are market tools that provide consumers with relevant information, enabling more informed and sustainable purchasing decisions. As fisheries operate on a high production scale, it is possible to dilute the costs of implementing and maintaining these initiatives. However, as the production scale decreases, small producing communities may need help participating in product certification processes. In global contexts, where consumer markets become increasingly demanding, the need for certification can translate into a barrier to selling such products. In this context, the present article aims to investigate existing certifications in the literature for large- and small-scale fisheries and their benefits and challenges for the fisheries. The systematic literature review was conducted to achieve the research objectives. A total of 38 articles were analyzed for this study. The Marine Stewardship Council emerged as the most recognizable certification body worldwide. Market access was the benefit of this certification scheme. On the other hand, small-scale fisheries face barriers in obtaining this market access tool, with costs being the primary challenge cited. Certification schemes can significantly enhance the fisheries value chain by fostering better interactions between fisheries stakeholders and reshaping the structure of small-scale fisheries.

Background

Microplastics, polymer-based particles < 5 mm, affect plant–soil systems positively or negatively, suggesting there are different modes of action. Microplastics, as particles, have physical effects but the leaching of additives likely contributes chemical mechanisms, both of which may be dependent on microplastic size. To disentangle such mechanisms, we established a controlled experiment involving polypropylene and polyethylene films of small, medium and large size, and we evaluated the individual and combined effect of plastic particles and additives (leachates from plastic particles) on soil properties and plant performance of the phytometer Daucus carota and on bare soils.

Results

We find that additives better explained variation in soil properties (e.g., 44.6% vs 1.3%). Soil respiration and aggregation were negatively affected for additives, likely due to the presence of toxic substances. Overall, such effects increased as plastic size decreased. By contrast, plastic particles better explained plant biomass responses. The positive effect of particles on aeration which may promote root penetration and nutrient uptake, and microplastics itself as a source of carbon potentially promoting soil microbial activity, help explain the positive effect of particles on plant biomass. Plants mitigated the negative effects of additives on bare soils while enhancing the positive effects of particles. This improvement was likely linked to an increase in root activity and rhizodeposition, as plastic particles improved soil aeration. The combined effect of additives and particles, which mimics the microplastic found in the soil, mitigated their individual negative effects on plant–soil systems. As the negative effect of additives could have been masked by the positive effects of particles, simply reporting net positive effects would capture only part of the response.

Conclusions

Additives and plastic particles differently affect soil properties and plant biomass. Additives primarily negatively affect soil properties due to toxic substances, while plastic particles enhance plant biomass likely by improving soil aeration. When examining microplastics effects on terrestrial systems (i.e., the combined effect of additives and particles), the negative effect of additives may be masked by the positive effects of plastic particles. Reporting only net positive effects risks overlooking these underlying negative effects. Plants can mitigate the negative impacts of additives and amplify the positive effects of plastic particles. Our study emphasizes the importance of investigating both the individual and combined effects of additives and particles to fully understand and address the impacts of microplastics on terrestrial ecosystems.

Background

Recycling nutrients and organic matter available as waste in urban areas may close nutrient gaps and improve soil quality, but the concentrations of potentially toxic elements (PTEs) are commonly higher than in mineral fertilisers. How quickly may the limits for soil quality be exceeded, and for which elements, if such materials are applied intensively? For a rough answer to this question, we used soil data from ten case farms near Oslo and Bergen (Norway) to estimate how PTE concentrations increased when the demand for nitrogen (N), phosphorus (P) and potassium (K) in a theoretical carrot crop produced every year was covered by compost or digestate from source-separated food waste, or composted garden waste, compared with manure from horses and poultry which are often kept in peri-urban areas.

Results

With the intensive fertilisation assumed here, the Norwegian soil quality limits for PTEs were reached within 20–85 years, and faster for soil with more organic matter since regulatory limits set by weight discriminate soils with low bulk density. The limits were reached first for Cu and Zn, which are both essential micronutrients for crop plants. The concentrations of macronutrients in the urban waste-based fertilisers were not well balanced. Rates covering the K demand would lead to high surpluses of P and N. In peri-urban vegetable growing, high applications of compost are not unusual, but more balanced fertilisation is required.

Conclusions

The Norwegian regulations for PTEs in organic soil amendments and agricultural soil are stricter than in the EU, and do not support recycling of organic matter and nutrients from urban waste. Many materials which can only be applied with restricted amounts to Norwegian agricultural soil, may be applied according to crop demand in the EU. Growers utilising urban waste-based fertilisers intensively should monitor the soil regularly, including PTE analyses. Soil sampling should occur on fixed sampling points to reveal changes in concentrations over time. Norwegian authorities should consider a revision of the organic fertiliser regulation to support recycling of valuable organic materials. There is a need for more data on the PTE concentrations in agricultural soil and organic fertiliser materials.

This study evaluates the efficacy of discrete bacterial consortia in bioremediating sandy loamy soil deliberately contaminated with 20 mg/kg of chlorantraniliprole (CAP). It monitors alterations in total bacterial populations and CO₂ emissions, tracking residual CAP levels through UV scanning and HPLC analysis. Six active bacterial degraders (four Bacillus strains (B. subtilis subsp. subtilis AZFS3, B. pumilus AZFS5, B. mojavensis AZFS15, and B. paramycoides AZFS18), one Alcaligenes strain (A. aquatilis KZFS11), and one Pseudomonas strain (P. aeruginosa KZFS4)) were used in single or combined preparations and grown on trypticase soy broth for 24 h at 30 °C before preparing the inoculants and adjusting the bacterial cell count to 10⁷ CFU/dwt g soil. The bacterial consortia were added to the CAP-contaminated soil and incubated for 20 days at 30 °C. The di-, tetra-, and hexa-bacterial consortia recorded the highest levels of viable bacteria, reaching their peak after 3 to 11 days of incubation. Then, they declined to the minimum levels at the end of the 20 days, which coincided with their complete removal of CAP from the soil. At the end of the incubation period (20 days), the CAP was mainly biodegraded, scoring biodegradation rates of 90.05%, 93.65%, and 98.65% for T3, T4, and T5, respectively. This concurred with the highest average CO₂ production. Based on the results of the HPLC analysis, the hexa-bacterial consortium T5 demonstrated the highest rate of CAP biodegradation (99.33%) after a 20-day incubation period, resulting in the lowest residual level of CAP in the soil (0.67%). Bioinformatic analysis predicted that the CAP biodegradation pathway reached CO₂ and H₂O. Under optimized conditions, the hexa-bacteria consortium is the most effective CAP biodegraded and is recommended as an eco-friendly treatment for eliminating CAP pollution in the field.

Persistent and toxic chemicals remain a significant pollution concern, underscored by the European Union's Zero Pollution Action Plan. Daily exposure to complex chemical mixtures starts early and continues throughout life, for instance for consumer products such as toys, plasticware, furniture, and synthetic fibres. EU-funded research projects like COPHES/DEMOCOPHES, HBM4EU, and PARC have documented population exposure to these substances. The outcomes of such research initiatives have contributed to highlighting the adverse health impacts of Substances of Concern (SoCs), leading to several regulatory actions within the EU. SoCs include hazardous chemicals such as carcinogens, mutagens, endocrine disruptors, and “persistent, bioaccumulative, and mobile” (PBM) chemicals. The digital transformation in chemicals management has resulted in policies that mandate electronic submissions of chemical risk assessment-relevant data, and the creation of industry-specific databases like the Substances of Concern in Products (SCIP) database, established by the European Chemicals Agency (ECHA) under the revised Waste Framework Directive (WstFD). These databases describe SoCs and their link with products, offering a comprehensive view of chemical quantities, emission sources, exposure pathways, and other relevant data, contingent on robust data governance. Effective chemical risk assessment requires characterizing hazards, exposure sources and levels, and drawing conclusions concluding on potential risks, supported by a well-defined problem formulation and monitoring. This includes setting objectives and defining the scope of the risk assessment and decision-making, particularly regarding early warning signal detection for the purpose of public health protection. Successful risk assessment hinges on access to robust, traceable, accessible, and interoperable data across scientific disciplines and regulatory frameworks. This paper discusses the challenges of aggregating human health risk assessment-relevant chemical information from multiple sources, especially from the perspective of data fusion and reuse. It presents findings from a research project focused on utilizing chemicals datasets from various governmental and scientific sources. The study highlights the need for improved data presentation and availability to enhance usability for all stakeholders. Recommendations are made for the EU Commission, ECHA, industry, and academia to support harmonized data practices, increased transparency, and the development of sustainable chemical applications fostering safer market introductions. These recommendations can also be useful to other data providers that care about the reusability of the data they publish or manage.

Rotational shifting cultivation (RSC) is commonly practiced in northern Thailand for upland rice cultivation, primarily for household consumption. However, the potential health risks from heavy metal contamination in these soils have not been thoroughly explored. This study aimed to evaluate the contamination of six heavy metals (Arsenic (As), Mercury (Hg), Cadmium (Cd), Lead (Pb), Copper (Cu), and Chromium (Cr)) in upland rice across RSC fields with varying fallow periods and assess the associated health risks from rice consumption. Four RSC fields with 5, 6, 10, and 12-year fallow periods were examined. The RSC-6Y and RSC-12Y fields were used for upland rice cultivation in 2022, while the RSC-5Y and RSC-10Y fields were cultivated in 2023. The geo-accumulation index (I_geo) was calculated, and translocation factors (TF) were assessed for the transfer of heavy metals from soil to straw (TF_Straw/Soil), straw to grain (TF_Grain/Straw), and soil to grain (TF_Grain/Soil). The results indicated that after burning vegetation in the RSC fields, the highest concentrations of Pb, Cr, and Hg were found in the ash. In RSC soils, Cu, Cr, As, Pb, and Hg levels were below reference standards, with Cd undetected. In rice grains, the order of concentration was Pb > Cu > Cr > As, with Hg and Cd undetected. Pb levels in rice grains exceeded the safety threshold. I_geo values indicated no contamination to moderate contamination across sites, with negative I_geo values for Cr and Cu, and zero values for Cd. The TF results showed limited transfer of As, Hg, and Cd from soil to rice plants (TF_Straw/Soil < 0.1), but notable transfer for Pb, Cr, and Cu. Pb was readily transferred from soil to grain (TF_Grain/Soil), posing a potential health risk. The study highlights potential non-carcinogenic and carcinogenic risks from heavy metal exposure, particularly Pb, and underscores the need for further research to determine contamination sources and mitigation strategies.

The interest in and use of biological materials in crop production is increasing globally at a rapid pace. In many cases, testing methods for conventional chemicals are applied to microbial-based biopesticides because specific microbial test methods are lacking. However, not all methods are easily transferred to microbial-based products. An evaluation was conducted to determine if OECD (Organization for Economic Co-operation and Development) Guidance Document No. 239 on honey bee larval toxicity could be adapted to microbial pesticides. In our study, five microbes, including B. pumilus, B. thuringiensis, B. velezensis, Paenibacillus larvae, and Ascophaera apis were grown on agar media and spotted with either honey bee in vitro larval diet or royal jelly. We observed that the honey bee larval bee diet and royal jelly did not inhibit the fungal honey bee pathogen Ascophaera apis, yet inhibited the growth of bacteria, including a known honey bee larval pathogen. This finding may make the test unreliable for certain biopesticides. The OECD is considering biopesticide-specific testing guidelines, and the EPA has indicated it to update itsbiopesticide bee test guidelines. However, additional research is needed to determine which options may be feasible and provide the best improvements.

Background

Microplastic pollution is a pressing issue with far-reaching environmental and public health consequences. This study delves into the intricacies of predicting microplastic pollution during the COVID-19 pandemic in Tehran, Iran.

Methods

The research introduces a rigorous comparative analysis that evaluates the predictive prowess of the Deep Random Forest algorithm and established benchmarks, such as Random Forest, Decision Trees, Gradient Boosting, AdaBoost, and Support Vector Machine. The evaluation process encompasses a meticulous 70–30 training–testing split of the main data set. Performance is assessed by analysis metrics, including ROC and statistical errors. The primary data set encompasses distinct categories, including household wastes, hospital wastes, clinics wastes, and unknown-originated susceptible waste which is categorized in Infected items, PPEs, SUPs, Test kits, Medical packages, Unknown-originated pandemic mircoplastic waste. Deliberately, this data set was partitioned into training and testing subsets, ensuring the robustness and reliability of subsequent analyses. Approximately 70% of the main database was allocated to the training data set, with the remaining 30% constituting the testing data set.

Results

The findings underscore the proposed algorithm’s supremacy, boasting an impressive AUC = 0.941. This exceptional score reflects the model’s precision in categorizing microplastics. These results have profound implications for environmental management and public health during pandemics.

Conclusions

The study positions the proposed model as a potent tool for microplastic pollution prediction, encouraging further research to refine predictive models and tap into new data sources for a more comprehensive understanding of microplastic dynamics in urban settings.

Background

Acute fish toxicity test (AFT) is one of the cornerstones of environmental risk assessment (ERA) of chemicals for the aquatic environment. Despite many efforts to find an alternative able to fully replace the test, there is still lasting pressure from stakeholders for AFT results.

Results

Here, we present the results of a case study with eight pharmaceuticals from various pharmaceutical groups with different levels of expected toxicity to fish. Selected compounds were tested in two validated alternative tests—fish embryo toxicity test with zebrafish (Danio rerio) (zFET) and in vitro RTgill-W1 assay according to their corresponding OECD guidelines TG 236 and TG 249, respectively. Data for AFT were collected from PubMed and ECOTOX knowledgebase databases, and acute toxicity to fish was further predicted in silico by the ECOSAR program. Predicted environmental risks (risk quotients, RQ, calculated using the exposure data from NORMAN) from both zFET and RTgill-W1 well correlated with the average RQs based on AFT LC50s. The strongest and most significant correlation was observed while comparing the AFT results with the median of combined alternative methods (zFET, RTgill-W1, ECOSAR).

Conclusions

This proposed approach combining experimental data with modeling could serve as a reliable tool for predictions of environmental risks promoting the 3R alternatives to acute fish toxicity testing.

Vitamin C, also referred to as ascorbic acid (AsA), is recognized for its capacity to cure and avert scurvy, and it is crucial for regular human growth and development. In various crops, AsA participates in stress response mechanisms mediated by abscisic acid and has been discovered to have a crucial function in the morphogenesis, growth, development, and production of male gametes in plants. GDP-D-mannose 3′,5′-epimerase (GME) is essential in the synthesis of vitamin C. Our research identified 91, 83, 51, and 46 genes, respectively, found in G. barbadense (GbGMEs), G. hirsutum (GhGMEs), G. arboretum (GaGMEs), and G. raimondii (GrGMEs). Plants resulting from VIGS infection with GhGME31D clearly showed yellowing, water loss and wilting of leaves and black spots on stems. Measurement of MDA and AsA levels indicated that the plants were more damaged. This indicates that AsA has a substantial impact on plant growth and development.