terras de pastagem
AGROVOC URI:
Evidence of Impact: Climate-Smart Agriculture in Africa
The vulnerability of Africa’s agriculture to climate change is complex. It is shaped by biophysical, economic, socio-cultural, geographical, ecological, institutional, technological and governance processes that interact in intricate ways, and can together reduce farmers’ adaptive capacity. Women farmers with few resources are particularly vulnerable. This working paper highlights the array of adaptation strategies that exist across Africa’s diverse farming systems and climatic conditions. These strategies can provide the impetus for transforming Africa’s agriculture.
Evaluation of feed resources in mixed crop-livestock systems in Sudano-Sahelian zone of Mali in West Africa
Livestock are important assets to the rural poor in developing countries but are faced with the major challenge of marked seasonal feed availability. A study was carried out to assess existing and potential feed resources and constraints to livestock production in Southern part of Mali. A feed assessment tool was used to collect necessary data. The assessment included focus group discussions and individual interviews.
Evaluate strategies for improving household nutritional diversity in Mali
Evidence of impact: Climate-smart agriculture in Africa
Agriculture across Africa must undergo a significant transformation to meet the multiple challenges of climate change, food insecurity, malnutrition, poverty and environmental degradation. The case studies described here are just some of the climate-smart agricultural practices that already exist in Africa. This publication aims to inspire farmers, researchers, business leaders, policy makers and
NGOs to take up the mantle of climate-smart agriculture and accelerate the transformation of Africa’s agriculture into a more sustainable and profitable sector.
Evaluation of feed resources in mixed crop-livestock systems in the Sudano-Sahelian zone of Mali
Evaluating fire severity in Sudanian ecosystems of Burkina Faso using Landsat 8 satellite images
The fire severity of the 2013–2014 fire season within Sudanian ecosystems in Burkina Faso was evaluated from Landsat 8 images using derivatives of the Normalized Burn Ratio algorithm (NBR). The relationship between the image-derived severity and the field observed severity i.e. Composite Burn Index (CBI) was best described by a nonlinear model of the form y = a + b*EXP(CBI *c) (R2 = 0.66). Classification of the image-derived burned area into burn severity classes achieved a classification Kappa accuracy statistic of 0.56.
Evidence-based scaling-up of evergreen agriculture for increasing crop productivity, fodder supply and resilience of the maize-mixed and agro-pastoral farming systems in Tanzania and Malawi
Evaluation of the agronomic, utilization, nutritive and feeding value of desho grass (Pennisetum pedicellatum)
This study comprised of field survey, agronomic trial, laboratory and animal evaluation of desho grass. A total of 240 households (hh) were involved in the field survey conducted to assess the status of desho grass production and utilization in Burie Zuria and Doyogena districts, with the use of pre-tested and semi- structured questionnaire.
Evaluating the relationships between property rights, risk technology and productivity in sub-Saharan Africa
This document reports the results of a small meeting of social scientists from ILCA and IFPRI held at ILCA. The workshop was conceived to summarize the results of studies previously conducted by ILCA and others, to identify priorities for future research; to provide guidance for future research - problems, methodology, locations, and resource requirements, and to consider specific proposals for future research and evaluate the areas of complementarity and/or overlap with other past or current projects.