Understanding the evolution of land use/land cover change (LULCC) and how it shapes current and future ecosystem services (ES) supply potential remains critical in sustainable natural resource management. Community perception of historic LULCC was reconciled with previous study via remote sensing/geographical information systems using recall data in the Budongo–Bugoma landscape in Uganda. Then, a CA-Markovian prediction model of a LULC situation in 2040 under business as usual (BAU) and forest restoration scenarios was constructed.

Globally, nations are targeting to achieve the “Green Deal 2030” and “Biodiversity Strategy 2030” to protect and conserve forest ecosystems. Forest land rights that define the nature of forest use have been rendered useless in many developing countries. Uganda is an African country endowed with tropical rainforests. Forests and other protected areas continue to decline due to deforestation and forest degradation in Uganda. Moreover, Uganda is an example of a country with a high allocation of virgin forest land to investors for development projects including agriculture.

The agricultural sector is facing the challenge of climate change, which is increasing difficulties to the activity and the economic sustainability of the primary sector, also affecting farmers’ revenues. There is a growing need to support policy makers’ decisions and help them develop cross-sectional strategies to support farmers. To this aim and to collect useful information for policy makers and stakeholders for the development of efficient strategies for the management of dryland farming, the paper examines how this issue has been analysed in the literature.

Green belts are an urban planning approach meant to address urban sprawl and enhance resilience. Many Latin American cities located in arid lands would benefit from the green belt; however, little is known about the factors that determine green belt implementation in these regions. The purpose of this study is to fill this gap by examining the case of Hermosillo, Mexico, a rapidly growing city located in a desert environment with an envisioned green belt.

Urban expansion is a form of land cover and land use change (LCLUC) that occurs globally, and population growth can be a driver of and be driven by LCLUC. Determining the cause–effect relationship is challenging because the temporal resolution of population data is limited by decadal censuses for most countries. The purpose of this study is to explore the relationship and relative timing between population change and land use change based on a case study of northern Taiwan from 1990 to 2015.

Land use, land resource demands, and landscape management practices are linked to many of the environmental, climatic, and socio-economic challenges faced by contemporary society. The study focuses on a comparative analysis of the experience of the land resource management (LRM); thus, the study aims respond to how the land-related resources are managed, what policy instruments support it, and what improvements would promote the sustainable management of these resources.

Most land consolidation projects envisage reducing fragmentation and aim at increasing productivity, land use efficiency, and competitiveness of rural areas. However, recent insights suggest that social aspects are crucial as well. Hence, a critical assessment of the conditions under which land consolidation can be socially beneficial is necessary. This article aims to identify values and qualitative indicators to measure social preferences and to assess whether one can optimize decision support tools for land consolidation projects with such indicators.

Tigers play a crucial role in maintaining healthy ecosystems. Unfortunately, tigers are threatened by poaching, human–wildlife conflict, habitat loss, and more. In response to these threats, the conservation community pledged to double the worldwide wild tiger population by 2022 (known as TX2) at the “Tiger Summit” in St. Petersburg in 2010, and to track the progress of Tiger Range Countries. Between 2010 and 2022, the Global Tiger Recovery Programme was implemented. To accomplish this TX2 goal, each Tiger Range Country developed a National Tiger Action Plan (NTAP).

Disputes over farmland constitute an important challenge for tenure security, economic growth and social stability. Land titling is a theoretically promising policy instrument that can enhance tenure security and reduce the occurrence of farmland disputes in the developing world. However, the impact of land titling on the occurrence of disputes has been found to be highly conditional. Empirical evidence on this issue has been surprisingly limited and has often lacked the consideration of a specific context.

The level of service-industry development has become an important symbol of the competitiveness and influence of cities. The study of the dynamic evolution characteristics and patterns of urban service-industry land use, the driving factors and their interactions is helpful to provide a basis for decision making in policy design and land use planning for the development of service economies. In this study we have conducted an empirical study of China, based on the methods of spatial cold- and hot-spot analysis, Tapio’s decoupling model, and GeoDetector.

Urban growth triggers massive changes in land use cover, exacerbating extreme natural and technological events. In order for land use planning to be efficient, it requires the integration of comprehensive risk and vulnerability assessment. This paper aims to create a bridge between the existing vulnerability theories and their implementation in land use planning policies and proposes an innovative approach to determine whether the changes in the territorial dynamics of cities draw considerable changes in communities’ social vulnerability.

Since urban areas with high air pollution are known to have higher mortality rates compared to areas with less air pollution, accurately understanding and predicting the distribution of particulate matter (PM) in cities is important for urban planning policies that seek to emphasize the health of citizens. Therefore, this study aims to investigate the relationship between PM and land use in metropolitan cities in South Korea using the land-use regression model. We use daily data from the air quality monitoring stations (AQMS) in seven cities in South Korea for the year 2018.