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Soil erosion is a complex process involving multiple natural and anthropic agents, causing the deterioration of multiple components comprising soil health. Here, we provide an estimate of the spatial patterns of cropland susceptibility to erosion by sheet and rill, gully, wind, tillage, and root crops harvesting and report the co-occurrence of these processes using a multi-model approach. In addition, to give a global overview of potential future changes, we identify the locations where these multiple concurrent soil erosion processes may be expected to intersect with projected dry/wet climate changes by 2070. Of a modelled 1.48 billion hectares (B ha) of global cropland, our results indicate that 0.56 B ha (∼36% of the total area) are highly susceptible (classes 4 and 5) to a single erosion process, 0.27 B ha (∼18% of the total area) to two processes and 0.02 B ha (1.4% of the total area) to three or more processes. An estimated 0.82 B ha of croplands are susceptible to possible increases in water (0.68 B ha) and wind (0.14 B ha) erosion. We contend that the presented set of estimates represents a basis for enhancing our foundational knowledge on the geography of soil erosion at the global scale. The generated insight on multiple erosion processes can be a useful starting point for decision-makers working with ex-post and ex-ante policy evaluation of the UN Sustainable Development Goal 15 (Life on Land) activities. Scientifically, this work provides the hitherto most comprehensive assessment of soil erosion risks at the global scale, based on state-of-the-art models.

Groundwater Charge was introduced in 2005 as one of the sustainable resource management measures in South Korea. The implementation rate, however, stagnated around 37 %, indicating that most local governments chose not to adopt this ‘optional’ regulation. While previous Stakeholder Analysis studies mainly blamed exclusion – or limited involvement – of stakeholders in the designing and structuring stage of policy-making process for policy failures, this study focused on the interest conflicts and dynamics hindered implementation process. This is because the issue with the subject policy, i.e., Groundwater Charge in South Korea, is low ‘implementation rate’ not the ‘collection rate’ or ‘tax deficit.’ If it was simply design or structural issue, the Charge should suffer from tax deficit problem due to lower tax income than operational costs. Thus, in order to investigate the reasons of low Charge adoption rate at the local government level, the Stakeholder Analysis Theory was applied to examine each stakeholder of the Charge to distinguish the interaction among supportive and opposing groups. The analysis revealed that there are only strong opponents of the policy without clearly identifiable supporters. Having agricultural & fishery industry and small independent businesses in spas, hotels, and swimming pool as strong Players, the Context setters (local governments) are not motivated to enforce Groundwater charge. Furthermore, today's social norm governed by economic efficiency is preventing the environmentalists and other Subjects to counteract Players. Under these circumstances, this study recommends the Subject to transform the Crowds (general public) into policy supporters through education. Environmental education is the only viable means to encourage necessary paradigm shift to enable effective implementation of environmental policies like Groundwater charge.

Here, we present and release the Global Rainfall Erosivity Database (GloREDa), a multi-source platform containing rainfall erosivity values for almost 4000 stations globally. The database was compiled through a global collaboration between a network of researchers, meteorological services and environmental organisations from 65 countries. GloREDa is the first open access database of rainfall erosivity (R-factor) based on hourly and sub-hourly rainfall records at a global scale. This database is now stored and accessible for download in the long-term European Soil Data Centre (ESDAC) repository of the European Commission's Joint Research Centre. This will ensure the further development of the database with insertions of new records, maintenance of the data and provision of a helpdesk.In addition to the annual erosivity data, this release also includes the mean monthly erosivity data for 94% of the GloREDa stations. Based on these mean monthly R-factor values, we predict the global monthly erosivity datasets at 1 km resolution using the ensemble machine learning approach (ML) as implemented in the mlr package for R. The produced monthly raster data (GeoTIFF format) may be useful for soil erosion prediction modelling, sediment distribution analysis, climate change predictions, flood, and natural disaster assessments and can be valuable inputs for Land and Earth Systems modelling.

Measurement(s) Soil displacement by water erosion (t/ha/year) Technology Type(s) Grid-based GIS modelling Sample Characteristic - Environment Soil system Sample Characteristic - Location Global

This study aimed to monitor the changes in the content and types of nitrogen (N) and phosphorus (P) in swine slurry (SS) across three aerobic digestion processes in public livestock recycling centers. In total, 148 swine slurry samples, including raw swine slurry from the three digestion cells, were collected from 37 livestock recycling centers around Korea from early April to mid-July 2020. The physical and chemical characteristics including the total N and P and various types of N and P of the samples were determined. The contents of organic N and P were calculated as the difference between the total and mineral components of N and P. The results showed that solid separation and aerobic digestion of SS significantly reduced the amount of the total N in the effluent by almost 70.1%, but only reduced the total P by 0.17%, resulting in a significant reduction of available N and a very high P:N ratio. This study confirmed that continuous application of composted liquid swine slurry based on N content may lead to the overapplication of P. Therefore, further research is needed to improve the N content and lower the high P:N ratios.

Anionic surfactants (AS) are becoming a major emerging contaminant of waters due to their widespread use in household and industrial products. The standard chloroform method for analysis of AS in water relies on chloroform extraction of a methylene blue active substance (MBAS), which contains ion pairs between methylene blue (MB) molecules (positively charged) and AS. Due to the poor extractability of chloroform, the procedure is complicated, time-consuming, and subject to anionic interferences. A mixture of methyl isobutyl ketone (MIBK)–1,2-dichloroethane (DCE) at a 3:1 ratio of MIBK:DCE proved to be a robust solvent for AS extraction for a wide range of samples under various chemical conditions. The objectives of this research were to set the washing protocol to eliminate the anionic interferences in the MIBK-DCE extraction and to develop a new simplified analytical method for AS analysis using the MIBK-DCE (3:1) extractant. The suitability of the proposed MIBK-DCE method was validated based on quality control and assurance criteria, such as selectivity, accuracy, precision, method detection limit (MDL), limit of quantification (LOQ), and sensitivity. Various water samples, such as freshwater, wastewater, and seawater, were used for the method development and validation. Interferences by inorganic and organic anions were evident in the reference chloroform method but were eliminated in the MIBK-DCE procedure with a two-step process that consisted of washing with a carbonate/bicarbonate solution at pH 9.2 and a mixture of silver sulfate (Ag2SO4) and potassium alum (AlK(SO4)2). The simplified MIBK-DCE method for sodium dodecyl sulfate (SDS) analysis consisted of (i) sample pre-treatment, (ii) MIBK-DCE extraction, (iii) washing and filtration, and (iv) absorbance measurement. The MIBK-DCE method was accurate, precise, selective, and sensitive for AS analysis and showed MDL of 0.0001 mg/L, LOQ of 0.0005 mg/L, relative standard deviation (RSD) of 0.1%, and recovery of 99.0%. All these criteria were superior to those of the chloroform method. Sensitivity analysis showed highly significant correlations in AS analyses between the MIBK-DCE and chloroform methods for domestic wastewater, industrial wastewater, and seawater. The MIBK-DCE method is simple, rapid, robust, reproducible, and convenient, when compared to the chloroform method. Results demonstrate that the simplified MIBK-DCE method can be employed for AS analysis in a wide range of environmental waters including seawater.

The discovery of biomarkers for assessing soil health requires the exploration of organisms that can explain the core functions of soil and identification of species with major roles in these functions. However, identifying specific keystone markers within the soil microbiota is challenging. Next-generation sequencing (NGS)-based molecular-biological methods have revealed information on soil biodiversity; however, whether this biodiversity is related to soil health remains unclear. In this study, we performed NGS on grassland surface soil to compare the prokaryotic and eukaryotic genetic diversity to determine the chemical soil quality and examined markers associated with soil health. Microorganisms associated with the nitrogen cycle, bioremediation, plant pathogenicity, antibiotic production, and material degradation showed potential for use as markers. To propose a framework for soil health assessment, we not only used traditional indicators, such as chemical and physical measures, but also assessed metagenomics data of soil by land use to identify the major factors influencing the microbial structure in soil. Moreover, major keystone species were identified. Furthermore, the microbial genetic diversity of generally healthy surface soil, such as forests, farmland, and parks, was determined. These findings provide basic data for exploring soil health-related biomarkers.

Anionic surfactants (AS) are detrimental aquatic pollutants due to their well-characterized toxicity to aquatic organisms. The concentration of AS in aquatic environments is increasing because of their extensive use in many industries and households. The standard reference method for AS analysis is to determine a methylene blue active substance (MBAS) complex formed between AS and the methylene blue (MB) cation by using chloroform. However, chloroform has a low AS extraction efficiency and other limiting properties, such as a high density and volatility, which make the conventional AS analytical method time-consuming and labor-intensive. In an effort to replace the use of chloroform, this study was carried out to screen novel solvents for their ability to extract AS in water samples. Criteria were based on AS extraction efficiency, physicochemical properties, and the stability of the solvent under different environmental conditions. Organic solvents, such as methyl isobutyl ketone (MIBK), 1,2-dichloroethane (DCE), dichloromethane, benzene, and n-hexane, were assessed. In extraction of the anionic surfactant sodium dodecyl sulfate (SDS), the mixture of MIBK-DCE (3:1) proved to be an optimum solvent as an alternative to chloroform. It not only enhanced SDS extractability but also improved properties, such as having a lower volatility, a lower density than water, and a quicker phase separation. Among solvents screened, no one single solvent in SDS extraction could meet such criteria. The performance of the MIBK-DCE (3:1) mixture in SDS extraction was stable, irrespective of pH and ionic strength of the SDS solution, washing process, and presence of cations. Anionic interference from halogen and polyatomic and organic anions in SDS extraction by MIBK-DCE (3:1) existed only at an elevated concentration, which is not occurring in the natural aquatic environment. Results demonstrated that a MIBK-DCE (3:1) mixture solvent could be used in AS analysis for a wide range of aquatic samples and it could be the basis for the development of a new analytical method to replace conventional chloroform.

Improved knowledge and a better understanding of the functions of bacterial communities are vital for effective crop disease management. This study was conducted to study a bacterial community’s relationship with the common scab in four different potato varieties (Dejima, DJ; Atlantic, DS; Seohong, SH; Haryeong, HY) at two different locations (Gangneung and Chuncheon) and spatial locations (rhizosphere and furrow) at two different times (preharvest and postharvest). In addition, metagenomic sequencing was performed by extracting genomic DNA from soil samples to observe the dominant bacterial microbes and disease severity of the common scab in all the tested varieties in spatial location and time. The results suggest that the most dominant bacterial phyla in all the soil samples were Proteobacteria, Acidobacteria, and Bacteroidetes. Additionally, Streptomyces spp. were found to be more abundant in the susceptible variety (DJ) than in other varieties (DS, SH, and HY). Interestingly, bacterial communities were found to be more diverse across the two different geographical locations, spatial locations, and harvesting times, rather than the variety of potato, according to PCoA analysis. There were no interlinked changes in bacterial communities among the varieties. Moreover, the 14 most dominant bacterial genus correlation networks with Streptomyces spp. suggested that there was a significant positive and negative correlation to some extent. Alpha and beta diversity results clearly indicated that the possible reason for differences in bacterial communities might have been due to the different spatial locations, in comparison with varieties, which suggests that there was no significant correlation between bacterial community richness and diversity among the varieties.

A significant quantity of biologically produced sulfur (BPS) is generated as a by-product of chemical and biological desulfurization processes applied to landfill gas treatment. The beneficial upcycling of BPS has seen limited use in the environmental context. The effectiveness and underlying mechanism of BPS as an adsorbent for removing Hg2+ from both solution and wastewater were elucidated based on experiments encompassing surface characterization, adsorption isotherms, kinetics, and thermodynamics. The BPS exhibited remarkable efficacy in removing Hg2+ from solution, with the Langmuir model accurately describing the adsorption process and showing a maximum adsorption capacity of 244 mg g−1. Surface analysis through X-ray photoelectron spectroscopy and scanning electron microscopy revealed that Hg2+ complexed with sulfide on BPS surfaces, forming stable HgS. The adsorbed Hg was strongly retained in BPS, with less than 0.2% of the adsorbed Hg desorbed by strong acids. Adsorption kinetics followed the double-exponential first-order model, showing an initial rapid adsorption phase wherein 75% of the initial Hg2+ was removed within 5 min, followed by a slower adsorption rate. The thermodynamic parameters suggested that adsorption of Hg2+ by BPS was a spontaneous and endothermic process. Additionally, BPS effectively removed Hg2+ from wastewater, showing preference for Hg over other co-existing metals. These findings underscore the potential of BPS as an effective adsorbent for Hg2+ removal from wastewater.

Saline intrusion is increasingly threatening the rice farming system in The Mekong River Delta (MRD). Identifying the impact of this disaster on rice farming and providing promptly adaptable solutions is an urgent issue. This study evaluates the influence of saline intrusion on rice productivity of households in the MRD. We utilize the quasi-experimental method, the difference-in-difference (DID) method, with farm level panel data on rice farming extracted from the Vietnam Household Living Standards Survey (VHLSS) in 2014 and 2016. The empirical results indicate that households affected by saline intrusion have lower total production and lower productivity compared to the unaffected group. The affected group has lower total revenue of approximately 4969.8 thousand VND per ha and lower net revenue, on an average of 4679.3 thousand VND per ha, compared to the comparable unaffected group. Among the subsamples of different regions, the damage magnitude of households in severely affected regions by salinity intrusion is higher than in less severely affected areas. Some policy implications that can be proposed from this research are that the management agency should continue to update information on weather and climate change scenarios for forecasting and timely information for rice farmers. The agency comprehensively evaluates the effectiveness of transformed models of sustainable agricultural production adapted to salinity intrusion and replicates high-effective production models; restructure rice cultivation following the salinity intrusion level of each locality.

The nitrogen cycle is a biogeochemical cycle primarily associated with the microbial activity that occurs in various environments, including soil. Various genes related to the nitrogen cycle have been studied for different purposes by many researchers; therefore, the polymerase chain reaction (PCR) conditions and gene compositions differ among reports, making comparisons difficult. In this study, we compare the PCR methods to amplify 13 nitrogen cycle-related genes (amo (amoA and amoB), norB (cnorB and qnorB), hzs, napA, narG, nifH, nirK, nirS, nosZ, nrfA, and nxrA) in the soil samples collected from four land use types and selected a method with excellent applicability. However, the PCR method for five nitrogen cycle-related genes (amoC, hao, hzo, nirB, and nxrB) could not be presented. In addition, the nitrogen cycle-related genes from the four land use types (field, forest, bare land, and grassland) and the seasonally collected samples were analyzed and discussed. In the grassland samples, all the nitrogen cycle-related genes reviewed were amplified. These results vary from those of the field, forest, and bare land samples, and it was estimated that grassland, among the land use types, could play an important role in the nitrogen cycle in soil. However, an association between the seasons and the rainy season was not confirmed. Thus, this study may be used for future research in various fields related to the nitrogen cycle.