Sensitivity Of Cropping Patterns In Africa To Transient Climate Change

The detailed analysis of current cropping areas in Africa presented here reveals significant climate sensitivities of cropland density and distribution across a variety of agro-ecosystems. Based on empirical climate-cropland relationships, cropland density responds positively to increases in precipitation in semi-arid and arid zones of the sub-tropics and warmer temperatures in higher elevations. As a result, marginal increases in seasonal precipitation lead to denser cropping areas in arid and semi-arid regions. Warmer temperatures, on the other hand, tend to decrease the probability of cropping in most parts of Africa (the opposite is true for increases in rainfall and decreases in temperatures relative to current conditions). Despite discrepancies and uncertainties in climate model output, the analysis suggests that cropland area in Africa is likely to decrease significantly in response to transient changes in climate. The continent is expected to have lost on average 4.1 percent of its cropland by 2039, and 18.4 percent is likely to have disappeared by the end of the century. In some regions of Africa the losses in cropland area are likely to occur at a much faster rate, with northern and eastern Africa losing up to 15 percent of their current cropland area within the next 30 years or so. Gains in cropland area in western and southern Africa due to projected increases in precipitation during the earlier portions of the century will be offset by losses later on. In conjunction with existing challenges in the agricultural sector in Africa, these findings demand sound policies to manage existing agricultural lands and the productivity of cropping systems.

The detailed analysis of current cropping areas in Africa presented here reveals significant climate sensitivities of cropland density and distribution across a variety of agro-ecosystems. Based on empirical climate-cropland relationships, cropland density responds positively to increases in precipitation in semi-arid and arid zones of the sub-tropics and warmer temperatures in higher elevations. As a result, marginal increases in seasonal precipitation lead to denser cropping areas in arid and semi-arid regions. Warmer temperatures, on the other hand, tend to decrease the probability of cropping in most parts of Africa (the opposite is true for increases in rainfall and decreases in temperatures relative to current conditions). Despite discrepancies and uncertainties in climate model output, the analysis suggests that cropland area in Africa is likely to decrease significantly in response to transient changes in climate. The continent is expected to have lost on average 4.1 percent of its cropland by 2039, and 18.4 percent is likely to have disappeared by the end of the century. In some regions of Africa the losses in cropland area are likely to occur at a much faster rate, with northern and eastern Africa losing up to 15 percent of their current cropland area within the next 30 years or so. Gains in cropland area in western and southern Africa due to projected increases in precipitation during the earlier portions of the century will be offset by losses later on. In conjunction with existing challenges in the agricultural sector in Africa, these findings demand sound policies to manage existing agricultural lands and the productivity of cropping systems.

'This is a well researched, thorough and impressive work on climate change and agriculture in Africa. I recommend it to students, researchers and practitioners working on climate change issues' Jabavu Clifford Nkomo, senior programme specialist, IDRC This landmark book encompasses a comprehensive assessment of the potential economic impacts of future climate change, and the value of adaptation measures in Africa for different zones, regions, countries and farm types. Researchers developed and applied multiple analytical procedures to assess quantitatively how climate affects current agricultural systems in Africa, enabling them to predict how these systems may be affected in the future by climate change under various global warming scenarios, and suggesting what role adaptation could play. The study is the first to combine spatially referenced household survey data with climatic data at both national and international levels. This book provides vital knowledge about the impacts of climate change on Africa, serving as a guide to policy intervention strategies and investment in adaptation measures. It makes a major contribution to the analysis of climate change impacts and developing adaptation strategies, especially in the highly vulnerable farming communities in the developing world. Published with CEEPA and supported by the World Bank.

This study examines the impact of climate change on cropland in Africa. It is based on a survey of more than 9,000 farmers in 11 countries: Burkina Faso, Cameroon, Egypt, Ethiopia, Ghana, Kenya, Niger, Senegal, South Africa, Zambia, and Zimbabwe. The study uses a Ricardian cross-sectional approach in which net revenue is regressed on climate, water flow, soil, and economic variables. The results show that net revenues fall as precipitation falls or as temperatures warm across all the surveyed farms. In addition to examining all farms together, the study examined dryland and irrigated farms separately. Dryland farms are especially climate sensitive. Irrigated farms have a positive immediate response to warming because they are located in relatively cool parts of Africa. The study also examined some simple climate scenarios to see how Africa would respond to climate change. These uniform scenarios assume that only one aspect of climate changes and the change is uniform across all of Africa. In addition, the study examined three climate change scenarios from Atmospheric Oceanic General Circulation Models. These scenarios predicted changes in climate in each country over time. Not all countries are equally vulnerable to climate change. First, the climate scenarios predict different temperature and precipitation changes in each country. Second, it is also important whether a country is already hot and dry. Third, the extent to which farms are irrigated is also important.

The specific focus of this seminal work is on the economic impact of climate change on agriculture world wide, and how faced with the resultant environmental alterations, agriculture might adapt under varied and varying conditions. Enhanced with a detailed and comprehensive index, Climate Change and Agriculture is highly recommended for academic library environmental studies and economic studies reference collections and supplemental reading lists. The Midwest Book Review Despite its great importance, there are surprisingly few economic studies of the impact of climate on agriculture and how agriculture can adapt under a variety of conditions. This book examines 22 countries across four continents, including both developed and developing economies. It provides both a good analytical basis for additional work and solid results for policy debate concerning income distributional effects such as abatement, adaptation, and equity. Agriculture and grazing are a central sector in the livelihood of many people, particularly in developing countries. This book uses the Ricardian method to examine the impact of climate change on agriculture. It also quantifies how farmers adapt to climate. The findings suggest that agriculture in developing countries is more sensitive to climate than agriculture in developed countries. Rain-fed cropland is generally more sensitive to warming than irrigated cropland and cropland is more sensitive than livestock. The adaptation to climate change results reveal that farmers make many adjustments including switching crops and livestock species, adopting irrigation, and moving between livestock and crops. The results also reveal that impacts and adaptations vary a great deal across landscapes, suggesting that adaptation policies must be location specific. Finally, the book suggests a research agenda for the future. Economists in academia and the public sector, policy analysts and development agencies will find this broad study illuminating.

Climate change has been a significant issue since the end of the 20th century, and impacts a variety of economic sectors, primarily agriculture. The negative impacts of climate change on agricultural production are important because agriculture is closely linked to food security. Although they contribute the least to global pollution, it is estimated that African countries will be the most affected by climate variability. Our paper analyzes the impact of climate change on agricultural production in 11 Eastern and Southern African countries (ESA) during the period from 1961 to 2011 and estimates a panel data model for agricultural production using climate variables (e.g., annual precipitation and annual mean temperature) and economic factors (e.g., livelihood, fertilizer use, machinery, agricultural land, and labor) as explanatory variables.

Abstract: Although climate policies have been so far mostly focused on mitigation, adaptation to climate change is a growing concern in developed and developing countries. This paper discusses how adaptation fits into the global climate strategy, at the global and national levels. To do so, a partial equilibrium optimization model of climate policies-which includes mitigation, proactive adaptation (ex ante), and reactive adaptation (ex post)-is solved without and with uncertainty. Mitigation, proactive adaptation, and reactive adaptation are found to be generally jointly determined. Uncertainty on the location of damages reduces the benefits of "targeted" proactive adaptation with regard to mitigation and reactive adaptation. However, no single country controls global mitigation policies, and budget constraints might make it difficult for developing countries to finance reactive adaptation, especially if climate shocks affect the fiscal base. Rainy-day funds are identified as a supplemental instrument that can alleviate future budget constraints while avoiding the risk of misallocating resources when the location of damages is uncertain.