This is a summary of the deliberations, emerging issues and action points from the high-level regional conference on land and conflict in the East and Horn of Africa. The objective of the Conference was to facilitate the development of a regional agenda and national policy priorities in land conflict and governance in the region. The Conference facilitated discussion and understanding of the Sustainable Development Goal (SDG) Number 16 on peaceful and inclusive societies, access to justice and the building of effective institutions.

This is one of three country studies on Innovation Pathways in Agri-food Systems, managed by the Commission for Sustainable Agriculture Intensification (CoSAI). The three studies use a common analytical framework to generate lessons on factors leading to successful innovation pathways, to guide future investment.

Climate change is influencing the transformation of agriculture and food systems across the globe in unprecedented ways. A large number of smallholder farmers in low- and middle-income countries (LMICs) who depend on these systems for their food and nutrition security, and incomes are experiencing increasing vulnerability. Women are at a particular disadvantage, given their lower adaptive capacity due to unequal access to productive resources and services, driven by deeply entrenched social and gender norms and other structural barriers.

The 2021 Zambia 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.

Sixteen participants (M=15; F=1) have represented the community in this discussion. The objective of the discussion was to introduce the concepts of Si-MFS initiative to the participants and discuss on possible areas of intervention under this initiative. Furthermore, the role of WTL to link crowdsourcing winner varieties of durum wheat and faba bean to the surrounding farmers. Besides, the project team has discussed with Meket woreda administration and office of Agriculture about the initiative, main agricultural sector problems and designed possible alleviation solutions.

Water scarcity and pollution are major threats for human development in the Middle East and North Africa (MENA) region, and Lebanon is no exception. Wastewater treatment and reuse in agriculture can contribute to addressing the increasing water crisis in the MENA region. However, what is the actual potential of water reuse as a solution for agriculture in Lebanon? This report addresses this question and provides the most comprehensive assessment of water reuse potential up to now.

Living customary water tenure is the most accepted socio-legal system among the large majority of rural people in sub-Saharan Africa. Based on literature, this report seeks to develop a grounded understanding of the ways in which rural people meet their domestic and productive water needs on homesteads, distant fields or other sites of use, largely outside the ambits of the state. Taking the rural farming or pastoralist community as the unit of analysis, three components are distinguished.

Despite the progress made in conceptualizing and advocating for secure community-based land and forest tenure rights, there is a critical lacuna in advocacy and policymaking processes pertaining to community-based freshwater tenure rights. Moreover, water tenure as a concept has only recently gained significant traction in global policy circles. This report analyzes national and international legal pathways for recognizing customary forms of community-based freshwater tenure rights held by Indigenous Peoples and Local Communities (IPLCs) in sub-Saharan Africa.

This study maps out Ghana’s multi-hazard risk of flood and drought by using machine learning (ML) models for susceptibility analysis, socioeconomic survey for vulnerability analysis and population density for exposure analysis. The ML models used were Logistic Regression (LR), Random Forest (RF) and Support Vector Machine (SVM) with inputs of location and features of natural hazards. Topographic, precipitation, temperature, hydrology, land cover and soil cover raster images were also used in these models.

Work Package 1 (WP1) is responsible for the transdisciplinary co-creation of innovations in ALLs. Key activities implemented included stakeholder mapping, assessment of existing multistakeholder

This paper analyzes the complex relationships of factors influencing rangeland governance in the arid areas. A Bayesian Belief Network (BBN) model was developed in a participatory way to illustrate and assess the weight of a combination of environmental, social and institutional factors enabling the achievement of strengthened rangeland governance at a local level. The Bayesian model was applied in Tataouine situated in south of Tunisia. A complex diagram was built in a participatory way to illustrate the most important interactions between rangeland socioecological system components.