Kegiatan Global Comparative Study (GCS) Tenure didorong oleh perkembangan reformasi tenurial di Afrika, Asia, dan Amerika Latin yang telah memberikan ruang pengakuan hukum untuk masyarakat lokal sekitar hutan. Melalui pendekatan komparatif global dan metodologi yang terstandarisasi untuk semua negara lokasi penelitian, program ini menganalisis berbagai faktor yang mempengaruhi keberhasilan dan kegagalan program tenurial hutan di masing-masing negara.

Controlled Environment Agriculture (CEA) is the production of plants, fish, insects or animals inside structures, such as greenhouses and buildings, in controlled conditions. In a rapidly urbanizing world, CEA can contribute to sustainable development, e.g. through reduced use of land, water and inputs. There is a need for innovation in policy, technology and business practices to scale up CEA in the Global South sustainably and equitably.

County Climate Risk Profiles are a key tool to guide climate smart agriculture (CSA) investments and priorities at the county level in Kenya. These documents provide analyses of the underlying causes of vulnerability and on-going and potential climate change adaptation strategies. They also provide a snapshot of the enabling environment for building resilience by providing a synthesis of the policy, institutional and governance context.

By fostering and coordinating multi-stakeholder platforms such as the Academic Dialogue Platform on Food and Nutritional Safety, the International Centre for Tropical Agriculture (CIAT) aims to generate knowledge and articulate work on the city’s food system by bringing together key actors from the public sector, research groups and academia, NGOs and civil society.

County Climate Risk Profiles are a key tool to guide climate smart agriculture (CSA) investments and priorities at the county level in Kenya. These documents provide analyses of the underlying causes of vulnerability and on-going and potential climate change adaptation strategies. They also provide a snapshot of the enabling environment for building resilience by providing a synthesis of the policy, institutional and governance context.

County Climate Risk Profiles are a key tool to guide climate smart agriculture (CSA) investments and priorities at the county level in Kenya. These documents provide analyses of the underlying causes of vulnerability and on-going and potential climate change adaptation strategies. They also provide a snapshot of the enabling environment for building resilience by providing a synthesis of the policy, institutional and governance context.

County Climate Risk Profiles are a key tool to guide climate smart agriculture (CSA) investments and priorities at the county level in Kenya. These documents provide analyses of the underlying causes of vulnerability and on-going and potential climate change adaptation strategies. They also provide a snapshot of the enabling environment for building resilience by providing a synthesis of the policy, institutional and governance context.

Environmental regulation is an important means of restraining enterprises and protecting the environment. Rationalization of environmental regulatory policies can promote high-quality regional economic development. The optimization and upgrading of the industrial structure has an intermediary effect on the impact of environmental regulations on the high-quality development of the regional economy.

Human activities and environmental deterioration have resulted in land use transition (LUT), which seriously affects the ecosystem service value (ESV) of its region. Therefore, relevant policy measures are urgently needed. Nevertheless, research on the relationships between LUTs and ESVs from the overall watershed scale is lacking. Thus, the geo-information Tupu method was applied to analyze the dynamic patterns of LUT based on land use data from 1990, 2000, 2010, and 2018 of the Yellow River Basin (YRB).

The amount of habitat in a landscape is an important metric for evaluating the effects of land cover on biodiversity, yet it fails to capture complex temporal dimensions of resource availability that could be consequential for species population dynamics. Here, we use a spatially-explicit predator–prey metapopulation model to test the effect of different spatiotemporal resource patterns on insect predators and their prey. We examined population responses in model landscapes that varied in both the amount and temporal variability of basal vegetation.

Soil organic carbon (SOC) is an important indicator of soil quality and directly determines soil fertility. Hence, understanding its spatial distribution and controlling factors is necessary for efficient and sustainable soil nutrient management. In this study, machine learning algorithms including artificial neural network (ANN), support vector machine (SVM), cubist regression, random forests (RF), and multiple linear regression (MLR) were chosen for advancing the prediction of SOC.

By signing the Sustainable Development Goals (SDGs) in 2015, the Netherlands also envisions a sustainably managed Netherlands in 2030. This requires sustainable transitions in the fields of agriculture, energy production and climate policy. We describe how the soil plays an essential role in these transitions. If we use the soil more sustainably, the soil can be the key to achieving many of the social challenges such as climate change (SDG 13), food security (SDG 2), energy (SDG 7) and biodiversity restoration (SDG 15).