Articles

Elsevier,

Geoderma, Volume 443, March 2024

Artificial grassland restoration can be an effective method when applied to severely degraded grassland in alpine areas, however, their effects on slope runoff and sediment yield are still unclear. Qian et al., 2024 studied the effects of artificial restoration and degradation on the runoff sediment process in three areas and found that artificial grassland can significantly reduce runoff and sediment yield compared to alpine meadows and severely degraded alpine meadows. The study underscores the importance of plant and soil characteristics in erosion processes, highlighting the effectiveness of artificial grassland in mitigating soil erosion through improved soil conditions and enhanced vegetation coverage, with implications for restoration efforts in alpine regions.
Elsevier,

Soil Security, Volume 14, March 2024

Soil systems play a key role in the fight against climate change. A paper, produced by Rubio et al., 2024, highlights the importance of soil management and land conservation for sustainable use of resources. It calls for a comprehensive vision recognizing soil's socio-economic benefits and ecological functions, urging for radical environmental, social, and economic shifts to address climate change responsibly for present and future generations, in alignment with initiatives like the European Green Deal and the United Nations Sustainable Development Goals.
Elsevier,

Soil Security, Volume 14, March 2024

Ginzky 2024 discusses the ongoing legislative process in Germany to amend the soil protection act, addressing climate change, biodiversity maintenance, and other challenges, with the support of the current government. The paper outlines the societal importance of soils, challenges, current legislation shortfalls, proposed regulatory approaches including ongoing EU deliberations, and strategies for gaining political support considering ecological and social services, as well as competing interests.
Elsevier,

Geoderma Regional, Volume 36, March 2024

A study by Snoussi et al., 2024 proposes a methodology for evaluating excavated material's environmental, geotechnical, and agronomical properties to determine its ecological reuse potential, particularly for constructing soil in urban green infrastructure. Through the SWOFI framework (Safety, Workability, Fertility, Infiltrability), the authors characterised a non-cohesive sedimentary parent rock with a sandy loam texture from Bou Argoub in Tunisia. The method successfully assessed the material’s pollution hazard, compaction sensitivity, and fertility showcasing a novel integrated approach for sustainable soil construction in urban landscapes.
Elsevier,

Geoderma Regional, Volume 36, March 2024

Areas prone to drought and land degradation need effective water management plans to secure food production. Methods such as hydrological modelling and digital soil mapping can aid in evaluating water availability (water content and water stress). A study by Horta et al., 2023 examined the use of a global and local soil hydraulic properties (SHP) dataset to simulate soil-water balance at a regional scale in Portugal and found that the SHP dataset is a key factor to consider. The results showed that the choice between global and local SHP datasets significantly impacts the accuracy of soil-water balance simulations, influencing irrigation schedules and potentially jeopardizing crop production and soil quality, particularly in Mediterranean conditions.
Elsevier,

Geoderma Regional, Volume 36, March 2024

Grazing pressure in savannah rangelands increases the possibility of desertification and woody plant encroachment under different land management. As such, early warning shift indicators of degraded rangelands are required. Zimmer et al., 2024 conducted a study on the arid savanna rangelands on Arenosols in Namibia and focussed on soil organic carbon (SOC) and carbon isotopes (δ13C) as indicators. Results show lower SOC stocks on communal rangelands compared to freehold farms, with correlations between SOC stocks and vegetation cover types. The findings emphasize the importance of considering soil properties such as SOC in land management practices to assess and mitigate soil degradation risks in savanna ecosystems
Elsevier,

Soil Security, Volume 14, March 2024

Mulwafua and Kamchedzera 2024 found that Malawi's soil laws lack strong priorities for Avoid, Reduce, and Reverse strategies regarding land degradation neutrality, contrasting with Uganda and Germany which incorporate these strategies in their soil-dedicated legal frameworks. By using Roscoe Pound's theory of social engineering, the authors suggest that Malawi's human-centred approach to soil conservation neglects eco-centric and deep ecology perspectives.
Elsevier,

One Earth, Volume 7, 16 February 2024

This study emphasizes the importance of adopting nexus approaches in Arctic governance to address the complex interactions between climate change, biodiversity loss, land use pressures, and local livelihoods. While Arctic policies often incorporate nexus elements, there is a need to better recognize the agency and impact of local communities and traditional livelihoods in decision-making processes. This aligns with the goals of the International Day of Indigenous Peoples by highlighting the significance of involving indigenous communities in environmental governance and promoting cross-sectoral policies that consider their perspectives and contributions.
Elsevier,

One Earth, Volume 7, 16 February 2024

This research highlights the potential environmental and social impacts of scaling renewable energy technologies that rely on transition minerals, emphasizing the need to study resource frontiers to understand the local consequences of global climate policies. This topic is relevant to the International Day of Indigenous Peoples as it underscores the importance of considering the impacts on indigenous communities and their lands in the pursuit of sustainable energy solutions.
Elsevier,

The Lancet Regional Health - Europe, Volume 37, February 2024

The results from this study indicate that the AI-based risk assessment predicts later stage breast cancers as high risk among women who currently are sent at home with a negative mammogram.

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