Spatial planning systems and institutions have a significant role in managing non-agricultural land growth in Europe and the assessment of how their implementation impacts on agricultural land consumption is of great significance for policy and institutional improvement. Reducing the area of agricultural land taken for urban development, or eliminating such conversion, is an international policy priority aiming to maintain the amount and quality of land resources currently available for food production and sustainable development.

Spatial conservation prioritization does not necessarily lead to effective conservation plans, and good plans do not necessarily lead to action. These “science-action” gaps are pernicious and need to be narrowed, especially if the international goal of conserving 30% of the planet by 2030 is to be realized. We present the Earthwise Framework, a flexible and customizable spatial decision support system (SDSS) architecture and social process to address the challenges of these science-action gaps.

Urban forms are human-made systems that display a close connection with fractal objects, following organisation patterns that are not as random as believed. In this context, fractal theory can be seriously considered as a powerful tool for characterizing land-use planning. By applying the box-counting method and image-processing methods, the morphology and fractal metrics of urban networks of Chilean cities were measured.

Brownfields are a real problem which affects the urban appearance of cities and the quality of life of their inhabitants. In Romania, industrial areas were mainly concentrated on the outskirts of large cities, in the immediate vicinity of residential areas. With the closing of factories and the additional population of the big cities, there was a need for expansion of residential areas with a social-economic function.

Ecological security pattern (ESP) can bridge the paradox between ecological conservation and socioeconomic development. Although various methods have been applied to establish ESP successfully, improving its scientificity and reliability for regional sustainability are still great challenges.

The urban and rural areas of the Metropolitan District of Quito (DMQ) have experienced an aggressive urbanization process in the last two decades, which in many cases has changed the most appropriate land use as determined by the local government. This problem is exacerbated by poor land use planning in a city that is growing in an uncontrolled and disorderly manner toward rural areas, as well as by the accelerated growth of rural localities.

This study’s objective is to assess the socioeconomic effects of good governance practices in urban land management in two particular Ethiopian towns. Both qualitative and quantitative research methods were employed to achieve this objective. Questionnaires, interviews, and focus group discussions were used to collect data, and the collected data were analyzed descriptively. According to the study’s findings, the poor were hit particularly hard by weak governance in urban land management, since they could not afford to bribe authorities to acquire services or legal protection.

Identification of spatiotemporal changes in ecosystem service value and their drivers is the basis for ecosystem services management and decision making. This research selects Fujiang River Basin (FJRB) as the area of study, using the equivalent factor method to estimate the ecosystem service value (ESV) variation and characteristics of its spatial distribution. The contributions of the drivers of ecosystem service value and their interactions were also explored using the optimal parameters-based geographical detectors (OPGD) model.

The active participation of stakeholders is a crucial requirement for effective land-use planning (LUP). Involving stakeholders in LUP is a way of redistributing the decision-making power and ensuring social justice in land-management interventions. However, owing to the growing intricacy of sociopolitical and economic relations and the increasing number of competing claims on land, the choice of dynamic land use has become more complex, and the need to find balances between social, economic, and environmental claims and interests has become less urgent.

By 2030, around 194,000 new dwellings will be built in Berlin, including almost 52,000 in 16 new urban districts. These and other interventions will impact the city’s nature and landscape. An important means of compensating for these losses is a land-use planning eco-account adapted to Berlin’s needs. It relies on a whole-city compensation concept consisting of three pillars: flagship projects, thematic programmes, and the integrated enhancement of existing land uses. Impacts can be offset in advance via the eco-account.

Landslides are one of the most significant natural hazards worldwide. They can have far-reaching negative impacts on societies in different socio-economic sectors as well as on the landscape. Among the different types and processes that can also affect infrastructure and land use planning, slow-moving landslides are often underestimated. Therefore, studying areas affected by slow movements provide an opportunity to better understand the spatial and temporal patterns of these processes, their forcings, mechanisms, and potential risks.

Is digitalization conducive to promoting carbon reduction in cultivated land use while empowering high-quality socio-economic development and intelligent territorial spatial planning? Derived from China’s provincial panel data from the period 2011 to 2019, in this paper, we employ a fixed-effect model to study the impact of the digital economy on carbon emissions from cultivated land use and apply an intermediary-effect model to estimate the impact that the structure of the digital economy has on carbon emissions from cultivated land use.