Highlights: Chapter 3.7 focuses on making agriculture more productive and resilient. The modelling shows that climate change impacts on crop yield will vary by crop and region...
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Modelling risk management
El Niño is a phase in an irregular periodic variation in winds and sea surface temperatures over the Pacific Ocean. It occurs on average every 2 to 7 years...
Highlights:
A Food Security Identification (FSI) roadmap is proposed for the development of a multi-dimensional food security index.
The roadmap employs a machine learning approach towards identifying regions...
Highlights
Agricultural yields in Sub-Saharan Africa (SSA) are far below their potential.
We use a novel combination of crop modeling and survey data...
Highlights
The Bangladesh maize production need attention.
Risk perceptions and attitudes play a crucial role.
The Probit model was used.
Socio-economic factors play important...
Over the past several years many global reports and scientific articles have offered guidance to policy makers on how climate change is likely to affect global...
Production of cereals (maize, sorghum, millet) in southern Mali is challenged by several hazards that affect yield and yield variability. The research aims to inform decision making towards...
Globalization and changing climates are aggravating the occurrence and impacts of transboundary pests, and driving the emergence of new threats. Most of the low- and middle-income countries in Africa, Asia and Latin...
Highlights
Increasing wildlife–livestock interactions enhance opportunities for pathogen transmission and biodiversity erosion.
This increases the risk of emerging diseases in wildlife, livestock, and humans.
Biosecurity measures...
Agricultural development is crucial in developing countries, and particularly in the poorest countries where it accounts for large shares of employment and income and whose poverty is due simply to having...