This study examines how political career incentives drive city leaders to strategically lease land to the service and industrial sectors within their terms of office and trigger political circles in land supply. Drawing on a comprehensive panel dataset covering 284 cities in China from 2006 to 2020, the results of panel regressions reveal a U-shaped correlation between mayors’ tenure in office and the quantity and proportion of land leased to the service sector for the 2006–2013 period, when economic growth was the overwhelming indicator of political performance.

Global environmental governance (GEG) is one of the world’s major attempts to address climate change issues through mitigation and adaptation strategies. Despite a significant improvement in GEG’s structural, human, and financial capital, the global commons are decaying at an unprecedented pace. Among the global commons, land has the largest share in GEG. Land use change, which is rooted in increasing populations and urbanization, has a significant role in greenhouse gas (GHG) emissions.

Land transfers play a vital role in determining the level of farm machinery service and variety selection by scattered land reduction and contiguous land enhancement, which are also conducive to poverty alleviation and welfare utilization. Based on the micro-survey data of 898 kiwifruit growers in Shaanxi Province, this paper analyzed the effect of land transfers on the adoption of new varieties by propensity score matching (PSM) technology. A stepwise regression method was used to test the mediating role of land scale and the moderating role of unmanned aerial vehicles (UAVs).

Land administration (LA) is concerned with processes. Simply put, LA cannot be understood, built, or improved unless the processes associated with it are understood. When it comes to the processes involved in LA, two general processes can be identified, namely registration and dissemination. Nowadays, processes are implemented electronically; however, paper-based thinking is still present, and the performance of processes is impeded by siloed data management. These issues could be addressed through the employment of standards such as the Land Administration Domain Model.

In this paper, we explore the complex entanglements between ongoing land conflicts and climate shocks, and their implications for risk governance paths and evolution. We focus on ways in which concepts of shock and conflict can be incorporated into social–ecological systems thinking and applied to risk governance practice in a southern cities context.

Over the last 10 to 15 years, bioeconomy (BE) has evolved to a widely accepted alternative to the dominant use of finite raw materials around the globe. One of the essential prerequisites for the sustainable implementation of this future-oriented economic system is the consideration of spatial framework conditions. This review assesses whether spatial aspects are addressed in the scientific discourse on the bioeconomy. Between 2010 to 2021, 8812 articles were published dealing with the thematic field of bioeconomy.

Drought impacts on food security, land degradation and rates of biodiversity loss. Here, we aimed to investigate selenium nanoparticles (Se NPs) influenced plant resilience to drought using the morphological, physiological, and essential oil (EO) quantity and quality of basil (Ocimum basilicum L.) as drought proxies. Treatments included irrigation at 100% field capacity (FC100) as no stress, 80% FC as moderate water stress (FC80) and 60% FC as severe water stress (FC60), together with application of Se NPs at either 0 mg L−1 (control), 50 mg L−1, or 100 mg L−1.

Land degradation and climate change are among the main threats to the sustainability of ecosystems worldwide. As a result, the restoration of degraded landscapes is essential to maintaining the functionality of ecosystems, especially those with greater social, economic, and environmental vulnerability. Nevertheless, policymakers are frequently challenged by deciding where to prioritize restoration actions, which usually includes dealing with multiple and complex needs under an always limited budget.

Soil erosion is an important environmental problem that can have various negative consequences, such as land degradation, which affects sustainable development and agricultural production, especially in developing countries like Tunisia. Moreover, soil erosion is a major problem around the world because of its effects on soil fertility by nutriment loss and siltation in water bodies. Apart from this, soil erosion by water is the most serious type of land loss in several regions both locally and globally.

Soil erosion is a global environmental problem and a pervasive form of land degradation that threatens land productivity and food and water security. Some of the biggest sources of sediment in catchments are cultivated and abandoned lands. However, the abandonment of cultivated fields is not well-researched. Our study assesses the level of degradation in cultivated and abandoned lands using a case study in South Africa. We answer three main questions: (1) What is the extent of crop field degradation on used, partly used, and abandoned fields?

This study examines the effects of land use and slope aspect on soil erodibility (K-factor) and the fractal dimension (D) of soil particle size distribution (PSD) in calcareous soils at the watershed scale in western Iran. The study analyzed 113 soil samples collected from four land uses (slope-farmland, farmland, pasture, and woodland) at a depth of 0–20 cm, measuring common soil properties such as soil texture, soil organic matter (SOM), calcium carbonate (CaCO3), pH, and cation exchange capacity (CEC).

Soil erosion often leads to land degradation, agricultural production reduction, and environmental deterioration, which seriously restricts the sustainable development of regions. Clarifying the driving factors of soil erosion is the premise of preventing soil erosion. Given the lack of current research on the driving factors/force changes of soil erosion in different regions or under different erosion intensity grades, this paper pioneered to use machine learning methods to address this problem.