BackgroundStudies which have been conducted so far have focused on the processes of land use/cover changes in different areas at regional and global scale. Little is known about factors that influence land use/ cover dynamics at finer scales such as Melela ward in Mvomero district, Morogoro, Tanzania. Goals and ObjectivesThe overall objective of the study therefore was to evaluate the land use land cover dynamics and their impacts on pastoralism in Melela.

Context and backgroundIn 2017 Mali developed a law recognizing the customary land rights of local populations called the "Loi sur le Foncier Agricole" (LFA, Farmland Land Law). This law was celebrated by rural populations, particularly farmers, who saw their family farms protected from state monopolization through incorporation into the private real estate domain of the state by means of registration. It was in this euphoria that the Land Law (LDF) was passed in 2020 by ordinance.

Context and Background:Women represent close to 51% of the Cameroonian population and they are more than 70% active in food and market gardening  activities (INS, 2010). To this end, they need land and  capital to carry out their activities in order to make agriculture profitable and ensure food security for their families.

Background and Context :Land is a key element for the practice of economic activities such as agriculture. In rural areas, its equitable access is an essential condition for sustainable development and the improvement of the living conditions of populations.

Vulnerability And Access To Land In The Commune Of Diama

Contexte et justification :Les écosystèmes de la Forêt classée de la fosse de Doungh (FCFD) au Togo ont subi une dégradation très alarmante menaçant la survie de cet écosystème vitale. Disposer des connaissances sur diversité floristique et la structure des formations végétales contribuerait à la mise en œuvre d’un plan de gestion et de restauration de cette forêt classée.But et objectifs :Cette étude est une contribution à la gestion et à la restauration des écosystèmes forestiers de la FCFD, dans la Préfecture de Tandjouaré au Togo.

This application is a customized version of the Global Agriculture Monitoring System (GLAM), made in partnership with data4MOZ with a focus on Mozambique, the Limpopo River Basin, and its watersheds.

Vietnam is both at risk from and contributing to climate change. The country is the 17th largest emitter of greenhouse gas (GHG) emissions globally, with emissions reaching around 300.4 MtCO2eq in 2020, increasing to 344 MtCO2eq in 2022, and is projected to further increase to 515.8 MtCO2eq in 2030. This report provides an overview of GHG emissions, assessment methods, data sources, and reporting processes in Vietnam with a focus on the agriculture, forestry, and other land use (AFOLU) sectors.

The Initiative for Climate Action Transparency (ICAT) project is a collaborative effort between the Alliance of Bioversity International and CIAT, and the Ministry of Agriculture and Livestock Development in Kenya. The project aims to strengthen the capacity of the agriculture sector to implement, monitor, and report adaptation actions in a transparent manner at both national and county levels. To achieve this, the project has developed three training modules that will help to operationalize the CSA reporting tool for the agriculture sector.

A major challenge is how to create authentic information and innovations for agricultural extension in the digital age. It can be challenging for extension agents and agriculture extension workers to provide farmers with the knowledge and innovations they need given the limited resources available. Many development projects that were planned outside of the village turned out to be unfamiliar with its issues and needs, making them less effective in resolving the farmers' agricultural concerns, particularly those related to agricultural operations.

The 2019 Malawi Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles.

The 2019 Ghana Social Accounting Matrix (SAM) follows IFPRI's Standard Nexus SAM approach, by focusing on consistency, comparability, and transparency of data. The Nexus SAMs available on IFPRI's website separates domestic production into 42 activities. Factors are disaggregated into labor, agricultural land, and capital, with labor further disaggregated across three education-based categories. The household account is divided into 10 representative household groups: Rural and urban households across per capita consumption quintiles.