Representative Agricultural Pathways and Scenarios for Regional Integrated Assessment of Climate Change Impacts, Vulnerability, and Adaptation

The global change research community has recognized that new pathway and scenario concepts are needed to implement impact and vulnerability assessment where precise prediction is not possible, and also that these scenarios need to be logically consistent across local, regional, and global scales (Moss et al., 2008, 2010). For global climate models, representative concentration pathways (RCPs) have been developed that provide a range of time-series of atmospheric greenhouse-gas concentrations into the future (Moss et al., 2008, 2010; van Vuuren et al., 2012a). For impact and vulnerability assessment, new socio-economic pathway and scenario concepts have also been developed (Kriegler, 2012; van Vuuren et al., 2012b), with leadership from the Integrated Assessment Modeling Consortium (IAMC)..

Climate Change Impacts on West African Agriculture: An Integrated Regional Assessment (CIWARA)

The West African Sub-Saharan region (Fig. 1) is home to some 300 million people, with at least 60% engaged in agricultural activity. Climate change is now recognized as a major constraint to development worldwide. While climate change primarily relates to the future, historical trends give evidence of climate change already occurring. Temperature increases of 1 to 1.5◦C have been observed over the last 30 years in West Africa (EPA Ghana, 2001; IPCC, 2007) and there are projections of further warming of the West African region in the foreseeable future (2040–2069; Fig. 2a). The impact of climate change on West African rainfall is less clear. The analysis of historical data over the last 30 years shows that, whereas some zones experienced increased rainfall by as much as 20% to 40%, other locations experienced a decline in annual rainfall by about 15%. Future projections suggest a drier western Sahel (e.g., Senegal) but a wetter eastern Sahel (e.g., Mali, Niger; Fig. 2b). The southern locations of WestAfrica (e.g., Ghana) are projected to experience no change or slight increases in annual rainfall (Hulme et al., 2001). Irrespective of whether these zones will be dryer or not, there is historical evidence of shifts in rainfall patterns with extreme events (i.e., droughts and floods) becoming more frequent (Adiku and Stone, 1995) and it is probable that this trend may persist into the future..

The Structure of Government Intervention in African Agriculture

This article examines the determinants of various rates of agricultural subsidies (output, input, exchange rate distortions, and aggregate) using commodity-level data from eight African countries in the 1980s. Econometric results indicate that structural adjustment policies were more effective in reforming exchange rate distortions than in liberalising commodity markets. Output policies are determined within the national context while input subsidies are more responsive to commodity-specific conditions. Further-more, agricultural subsidies were strongly influenced by the degree of urbanisation and by the number of people per unit of arable land in a manner consistent with cheap food policy strategies.Agriculture, Africa, Government intervention, Subsidy rates, Agricultural markets, Egypt, Kenya, Morocco, Nigeria, Senegal, South Africa, Tanzania, Zambia, Urbanisation, Food policy strategies,

Modelling the impact of climate change on agriculture in West Africa

The overall objective of this chapter is to highlight the manner in which climate change continues to be a major challenge to agricultural development and productivity in West Africa. In particular, the current state of knowledge and understanding of the West African climate, and the changes in patterns and trends that have occurred over the years, is discussed. The chapter also presents the tools (especially models) that are available as well as those still required to assess the impact of climate change on agriculture in the region. This chapter begins with an overview of West Africa as a region, followed by an overview of West African climatic conditions. The chapter then provides a meta-analysis of studies investigating the effects of climate change on the productivity of cereals and legumes in West Africa. It also highlights challenges in modelling the varied and distinctive characteristics of West African farming systems as well as potential adaptation options. The next section reviews the impact of climate change on livestock production, followed by a brief section on integrated climate change impact assessment. The chapter ends with future developments and links to further reading

Coordinating AgMIP data and models across global and regional scales for 1.5°C and 2.0°C assessments

The Agricultural Model Intercomparison and Improvement Project (AgMIP) has developed novel methods for Coordinated Global and Regional Assessments (CGRA) of agriculture and food security in a changing world. The present study aims to perform a proof of concept of the CGRA to demonstrate advantages and challenges of the proposed framework. This effort responds to the request by the UN Framework Convention on Climate Change (UNFCCC) for the implications of limiting global temperature increases to 1.5°C and 2.0°C above pre-industrial conditions. The protocols for the 1.5°C/2.0°C assessment establish explicit and testable linkages across disciplines and scales, connecting outputs and inputs from the Shared Socio-economic Pathways (SSPs), Representative Agricultural Pathways (RAPs), Half a degree Additional warming, Prognosis and Projected Impacts (HAPPI) and Coupled Model Intercomparison Project Phase 5 (CMIP5) ensemble scenarios, global gridded crop models, global agricultural economics models, site-based crop models and within-country regional economics models. The CGRA consistently links disciplines, models and scales in order to track the complex chain of climate impacts and identify key vulnerabilities, feedbacks and uncertainties in managing future risk. CGRA proof-of-concept results show that, at the global scale, there are mixed areas of positive and negative simulated wheat and maize yield changes, with declines in some breadbasket regions, at both 1.5°C and 2.0°C. Declines are especially evident in simulations that do not take into account direct CO2 effects on crops. These projected global yield changes mostly resulted in increases in prices and areas of wheat and maize in two global economics models. Regional simulations for 1.5°C and 2.0°C using site-based crop models had mixed results depending on the region and the crop. In conjunction with price changes from the global economics models, productivity declines in the Punjab, Pakistan, resulted in an increase in vulnerable households and the poverty rate