Policy Implications (Support the proper sectoral integration of SLM efforts by mainstreaming SLM strategies into national and subnational strategies, plans, and programs; Stimulate public/private funding for SLM interventions and their sustainability, generating multiple environmental and development benefits; Encourage the design and implementation of studies to assess SLM interventions’ cost-effectiveness, social benefits, and trade-offs; Encourage the design and implementation of socioeconomic and livelihood impact studies to understand social acceptance and direct/indirect benefits; a

Anthropogenic activities profoundly impact soil organic carbon (SOC), affecting its contribution to ecosystem services such as climate regulation. Here, we conducted a thorough review of the impacts of land-use change, land management, and climate change on SOC. Using second-order meta-analysis, we synthesized findings from 230 first-order meta-analyses comprising over 25,000 primary studies.

An IPCC Special Report on climate change, desertification, land degradation, sustainable land management, food security, and greenhouse gas fluxes in terrestrial ecosystems.

Informe especial del IPCC sobre el cambio climático, la desertificación, la degradación de las tierras, la gestión sostenible de las tierras, la seguridad alimentaria y los flujos de gases de efecto invernadero en los ecosistemas terrestres.

The Global Programme 'Responsible Land Policy' (GPRLP) is part of the Special Initiative 'One World, No Hunger' of the German Federal Ministry for Economic Cooperation and Development (BMZ), which aims to reduce extreme poverty and hunger.

The “Responsible Governance of Investments in Land” (RGIL) project in Lao PDR fosters investment quality promotion to ensure that agriculture and forestry investments in land are productive, contribute to sustainable land management and respect the rights and needs of local populations.

The second edition of the Global Land Outlook (GLO2), Land Restoration for Recovery and Resilience, sets out the rationale, enabling factors, and diverse pathways by which countries and communities can reduce and reverse land degradation by designing and implementing their bespoke land restoration agenda. Land restoration for recovery and resilience is about creating livelihood and development opportunities for people simply by changing the way we use and manage our land resources.

According to the World Bank, approximately 55% of the population lives in cities and a growing trend is expected in the future. Cities generate more than 80% of the world’s GDP, so accurate urban land management would favor sustainable growth, increasing productivity and facilitating innovation and the emergence of new ideas. The use and management of public resources and the concern for cities to become increasingly smart are, therefore, of particular importance.

The Qinghai-Tibetan Plateau (QTP), known as the “Third Pole of the Earth”, contains fragile ecosystems and is sensitive to global environmental changes. With the intensification of climate change and human activities, the land cover of the QTP is changing significantly, which affects its function as an ecological security barrier.

Knowledge of hydrologic connectivity is important to grasp the hydrological response at a basin scale, particularly as changes in connectivity can have a negative effect on the environment. In the context of a changing climate, being able to predict how changes in connectivity will affect runoff and sediment transport is particularly relevant for land-use planning. Many studies on hydrology, geomorphology and climatology have been conducted in the Lake Tana Basin in Ethiopia, which is undergoing rapid development and significant environmental changes.

This investigation aims to assess the changes of Land Use/Land Cover (LULC) and its impact on ecosystem services value in Damietta Governorate, Egypt. To fulfill this aim, Landsat data of TM5 in 2001, ETM in 2011 and OLI in 2021 were used. The Maximum Likelihood Classifier was employed to track the changes in LULC of the study area. Cellular automata (CA) and Markov model adopted from IDRISI software were used for accurate prediction of the LULC in 2031. The VALIDATE model in TerrSet was used to compare the predicted 2031 LULC with actual 2021 LULC to assess the accuracy of the model.