Despite a growing recognition of the importance of social learning in governing and managing land use, the understanding and practice of learning has received limited attention from researchers. In global environmental programs and projects aimed at supporting sustainable land use in developing countries, learning is often promoted but without explicit learning goals. The focus may be on capacity building and community participation, and on testing policy tools, rather than on collaborative social learning.

Brazil has become an agricultural powerhouse, producing roughly 30 % of the world’s soy and 15 % of its beef by 2013 – yet historically much of that growth has come at the expense of its native ecosystems. Since 1985, pastures and croplands have replaced nearly 65 Mha of forests and savannas in the legal Amazon. A growing body of work suggests that this paradigm of horizontal expansion of agriculture over ecosystems is outdated and brings negative social and environmental outcomes.

Understanding stakeholder power relations—such as between land sellers, land buyers, and local governments—is crucial to understanding Land Value Capture (LVC). While scholars have focused on stakeholder relationships through approaches such as stakeholder salience, stakeholder interaction, stakeholder value network, and stakeholder multiplicity, much research either places insufficient focus on power or only stresses partial attributes of power. As a result, the role of power relations among key stakeholders in LVC remains insufficiently explored.

Land use and land cover change (LULCC) affects the climate through both biogeochemical (BGC) and biophysical (BPH) mechanisms. While BGC effects are assessed at global scale and are at the heart of climate treaties such as the Paris Agreement, BPH effects are totally absent despite their increasingly recognized impact, especially at local scale. This stems from the complexity in characterizing their climate impacts both at local and global scale, which makes it impractical to offer clear advices for the development of climate policies.

Concerns over food insecurity in developing countries are reflected in the Sustainable Development Goals (SDGs) to end hunger, achieve food security and improved nutrition, and promote sustainable agriculture by 2030. Given that land plays an important role in the livelihoods of most people in developing countries, food security and poverty reduction cannot be achieved unless issues of access to land, security of tenure, and the capacity to use land productively and in a sustainable manner are addressed.

Land use and land cover change (LULCC) are dynamic over time and space due to human and biophysical factors. Accurate and up-to-date LULCC information is a mandatory part of environmental change analysis and natural resource management. In Sri Lanka, there is a significant temporal gap in the existing LULCC information due to the civil war that took place from 1983 to 2009. In order to fill this gap, this study presents a whole-country LULCC map for Sri Lanka over a 25-year period using Landsat time-series imagery from 1993 to 2018.

Following the massive expansion of rubber plantations in China, considerable research has been conducted on the impact of these landscape changes. The general consensus is that there have been negative impacts on the environment and positive impacts on local economies. However, since rubber prices dropped after 2011, the economic benefit to the local people is challenged and the impact on the local people and communities remains unclear.

The change in land use during the process of urbanization affects surface runoff and increases flood risk in big cities. This study investigated the impact of land use change on surface runoff in Beijing’s central area during the period of rapid urbanization from 1984 to 2019. Land use maps of 1984, 1999, 2009, and 2019 were generated by image classification of Landsat images. Surface runoffs were calculated with the Soil Conservation Service curve number (SCS-CN) model. Correlation analysis was used to identify the dominant factor of land use change affecting surface runoff.

Growing domestic and international ethanol demand is expected to result in increased sugarcane cultivation in Brazil. Sugarcane expansion currently results in land-use changes mainly in the Cerrado and Atlantic Forest biomes, two severely threatened biodiversity hotspots. This study quantifies potential biodiversity impacts of increased ethanol demand in Brazil in a spatially explicit manner. We project changes in potential total, threatened, endemic, and range-restricted mammals’ species richness up to 2030.

Bays are some of the core areas for marine economic development. The South China Sea coast is one of the most developed and dynamic places in the Asia-Pacific. In this study, we focused on the large bays surrounding the South China Sea. The techniques of image segmentation and supervised classification as well as image interpretation were used to acquire land-use data of 41 bays from 1988 to 2018. Then, we quantified the intensity and pattern of land-use and land-cover change during the two periods.

Arid and semi-arid regions are particularly vulnerable to global environmental change because of their fragile climatic conditions. The rapid development of land use is expected to affect aquatic ecosystems in these regions. In this study, we focused on how land use change affects the stream flow and inflow to Urmia Lake in the Mordagh Chay basin, Iran. This case-study exemplifies dynamics found across a much larger region. We mapped changes in land use between 1993–2015 using satellite imagery and modeled future changes using the Dyna-CLUE model.

The move towards sustainable agriculture requires a more detailed understanding of farmers’ knowledge(s) and knowledge practices. Increasingly, it is important to understand not only what farmers understand, but how their knowledge practices incorporate others – especially given the emerging call for environmentally-orientated policy measures to move beyond an individual farmer focus. This paper considers how farmers engage with, utilise and share knowledge through a focus on the Catchment Sensitive Farming (CSF) initiative in the UK.