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Here you can find publications on the subject of climate change adaptation in different languages. Please use the filter option to select your preferred language.
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This good practice summary report offers guidance on identifying and analysing national-level water-related hazards, building on experiences from Georgia, Kazakhstan and Mongolia.
This technical report presents the methodology for analysing the probability of occurrence and severity of Dzuds in Mongolia. It also presents findings for the period 2024-2100.
This report presents the most pressing water-related climate hazards in Mongolia together with their probability of occurrence and severity until 2100 as well as possible adaptation measures.
This report presents the most pressing water-related climate hazards in Kazakhstan together with their probability of occurrence and severity until 2100 as well as possible adaptation measures.
This report presents the most pressing water-related climate hazards in Georgia together with their probability of occurrence and severity until 2100 as well as possible adaptation measures.
CRISP aide les professionnels et les décideurs politiques du secteur agroalimentaire à comprendre les risques liés au climat et à identifier des options d'adaptation pertinentes pour leurs systèmes agricoles spécifiques. Cette publication illustre l'application pratique de l'outil CRISP en Bolivie et en Zambie. Pour montrer ce que l'outil peut accomplir et quels impacts il a déjà générés, deux projets présentent leurs résultats dans cette fiche d'information. Le premier exemple, provenant de Bolivie, illustre à quel point l'application de l'outil CRISP peut être précieuse lors de la phase de planification d'un projet. Le deuxième cas, issu de Zambie, met en évidence les avantages des résultats de l'outil pour la vérification des activités déjà mises en œuvre.
CRISP ayuda a los profesionales y responsables de políticas en el sector agroalimentario a comprender los riesgos relacionados con el clima y a identificar opciones de adaptación relevantes para sus sistemas agrícolas específicos. Esta publicación ilustra la aplicación práctica de la herramienta CRISP en Bolivia y Zambia. Para mostrar lo que la herramienta puede hacer y qué impactos ya ha generado, dos proyectos presentan sus hallazgos en esta ficha informativa. El primer ejemplo, de Bolivia, ilustra cuán valiosa puede ser la aplicación de la herramienta CRISP en la fase de planificación de un proyecto. El segundo caso, de Zambia, resalta los beneficios de los resultados de la herramienta para la verificación de actividades que ya se están implementando.
This brochure presents insights from pilot applications in Bundelkhand (Uttar Pradesh) and Shivalik (Himachal Pradesh), offering recommendations to enhance climate risk assessments at the agroclimatic zone level and strengthen local adaptation strategies for effective implementation of plans.
Under the CAFRI II project, GIZ India collaborated with the Centre of Excellence on Disaster Mitigation and Management (CoEDMM) at Indian Institute of Technology Roorkee, to develop the Climate-Risk Informed Adaptation Action Assessment (CRIAAA) framework for evaluating the evidence-based approach of sub-national climate plans.
Climate change significantly impacts rural areas, affecting both their ecosystems and the livelihoods of residents. Fortunately, there are numerous solutions to promote climate-resilient and low-emission rural landscapes, ensuring food security within planetary boundaries. But how can we realize climate-sensitive rural development, and how does it contribute to transforming our agricultural and food systems? This factsheet explores these interconnections, presents strategic solutions, and illustrates them with practical examples. It underlines that climate-sensitive rural development should advocate for systemic approaches that reduce risks for vulnerable groups and take into account structural factors within the political framework, highlighting that such methods greatly aid in the transformation of agricultural and food systems.