Comment concilier un développement agricole durable avec la lutte contre le changement climatique et la préservation de la biodiversité ? Pour relever un tel défi, les décideurs politiques, techniques et socio-économiques ont désormais accès à des informations environnementales précises et précieuses. Il s’agit notamment des images satellitaires et des données environnementales produites à partir de ces images.
Women in agriculture are far from the end of poverty, zero hunger, quality education, and gender equality — some of the sustainable development goals that can be significantly improved if we achieve greater participation and better working conditions for women in agriculture.
This document is part of the project “Strengthening the adaptive capacity to climate change in the fisheries and aquaculture sector of Chile”, executed by the Undersecretariat of Fisheries and Aquaculture and the Ministry of the Environment, and implemented by the Food and Agriculture Organization of the United Nations, with funding from the Global Environment Facility. The work was implemented in four pilot coves: Caleta Riquelme (Tarapacá); Caleta Tongoy (Coquimbo); Caleta Coliumo (Biobío); and Caleta El Manzano-Hualaihué (Los Lagos).
Women play a key role in agriculture and food security, making up around 48 percent of the agricultural labour force in low-income countries. Despite this, their important contribution is hardly visible and largely unrecognized. Gender equality regards human rights but gender-based constraints in the sector cause also major inefficiencies in value chains, and are a key impediment for rural development, food security, and social and environmental sustainability. Moreover, the severe and multidimensional constraints faced by women hamper their productive potential and livelihoods.
The overall objective of the technical workshop was to present the guidelines on AIS and EAS assessments, the results at country level and to design and develop a framework of indicators to complement those assessments. Specific objectives were to:
The national assessment of the agricultural innovation system (AIS) in Malawi was conducted using a framework of four types of analyses: functional, structural, capacity and enabling environment analysis. The approach included five case studies that addressed three methods including the use of indigenous methods for fall armyworm (FAW) control in Farmer Field Schools (FFS), livestock transfer programs, and a horticulture marketing innovation platform in Mzimba, Ntchisi, Balaka, and Thyolo districts.
The impact of global warming on crop growth periods and yields has been evaluated by using crop models, which need to provide various kinds of input datasets and estimate numerous parameters before simulation. Direct studies on the changes of climatic factors on the observed crop growth and yield could provide a more simple and intuitive way for assessing the impact of climate change on crop production.
This working paper summarizes the findings of a portfolio review conducted to explore the gender and youth responsiveness of climate-smart agriculture technologies tested across climate-smart villages. The innovative and integrative aspect of the Climate-Smart Village (CSV) approach can provide useful insights into how to decrease the gender gap in the context of climate change.
Le CCAFS Afrique de l’Ouest met en œuvre un projet de « développement de chaînes de valeur et paysage climato-intelligents pour accroitre la résilience des moyens de subsistance en Afrique de l’Ouest ».
Participatory action research (PAR) has been around for years, and can add significant value to agriculture research for development projects. The use of PAR in climate-smart villages (CSVs) is no different. This review aimed to assess the impact that PAR approaches had on the adoption of CSA practices and technologies, with an emphasis on gender and social inclusion. Through a portfolio review, interviews with regional CSV teams, and surveys sent to local partners, this report demonstrates the benefit of PAR use in the implementation of the CSV approach.