For the 1.5 billion people living in fragile and conflict-affected situations, livelihood challenges are compounded by climate change, unsustainable resource consumption, poor governance, and weak social cohesion. Disaster risk reduction (DRR) and preparedness are critical components of a comprehensive approach to managing and mitigating the impact of disasters.

The key components for achieving long-lasting resistance to wheat rust disease and effectively managing the wheat rust disease relies on constantly tracking the movement of the pathogens and studying their pathogenic variabilities. Despite the severe drought conditions in wheat-growing regions of CWANA in 2023, the Regional Cereal Rust Research Center-Turkey in collaboration with national rust surveillance teams conducted rust surveillance in Lebanon, Morocco, and Tunisia, following to the BGRI rust surveillance procedures.

Through action research across six anchored countries in Africa, AICCRA aims at scaling access and use of enhanced climate information services (CIS) and evidence-based climate-smart agriculture (CSA) technologies and innovations for effective climate risk management and sustainable productivity improvement in various agricultural value chains and sub-sectors.

INNOVATION PROFILE of Sustainable rangeland management toolkit with a holistic and multidisciplinary approach for addressing the biophysical and sociocultural aspects under changing climate and land use leading towards more resilient pastoral systems.

The Foresight Monitoring Tool for Adaptive Management and Learning was designed to support planning, reporting, managing, and learning along the Foresight Initiative Theory of Change (ToC) which is populated by a number of knowledge products, capacity sharing activities and innovations generated by the synergistic collaboration of a multidisciplinary team of scientists from 11 CGIAR Centers and external partners. The Foresight Monitoring Tool was reported as an Innovation in 2022.

Do individuals’ perceptions of their relative economic status affect their attitudes regarding gender roles in patriarchal societies? What role does hearing messages designed to increase support for women’s empowerment play in moderating these effects?

Rangelands in Tunisia, play a vital role in providing essential services such as clean water, air, forage, and habitat for diverse ecosystems. However, decades of degradation due to socioeconomic changes, abandonment of traditional grazing practices, and recurrent droughts have led to soil degradation and loss of plant species. Overgrazing, exacerbated by climatic aridity, has significantly reduced rangeland productivity. In response, the traditional rest technique (G'del) has been applied, but its sustainability remains a challenge.

This study was conducted through the CGIAR Asian Mega -Deltas (AMD) initiative, a multi -year research program to secure food systems of the Mekong Delta, Irrawaddy Delta, and the Ganges Delta for climate and livelihood resilience. The study contributes to Work Package 3 (WP 3) on derisking delta orientated value chains through bundled digital climate advisory services (DCAS+), and focuses on Vietnam, Cambodia, Myanmar, and Bangladesh. DCAS comprise mobile phones, digital platforms, radio, and TV, as well as digitally enabled services such as extension services and printed bulletins.

Seasonal climate forecasts are crucial inputs for effective planning of adaptation to climate variability in the climate-sensitive development sectors. In West Africa, recommendations associated with seasonal forecasts are often based on expert judgment and assessment of the forecasts. This approach can be subjective and misleading, thus limiting the effectiveness of adaptation planning decision. This Info Note proposes a novel approach for translating seasonal forecasts into actionable sector-specific information.

AGRHYMET has recently proposed a novel approach for translating seasonal climate forecasts into actionable information for adaptation planning for agriculture and water sectors using sectoral biophysical and process-based models. The aim is to finetune and generate forecast-based recommendations for these two sectors to better support effective adaptation planning and reduce risks associated with biases and subjective recommendations.