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Marshall Burke
David Lobell
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Berkeley and Stanford - Climate change could increase the likelihood of civil war in sub-Saharan Africa by over 50 percent within the next two decades, according to a new study led by a team of researchers at University of California, Berkeley, Stanford University, New York University and Harvard University, and published in today's (Monday, Nov. 23) online issue of the journal Proceedings of the National Academy of Sciences (PNAS).

The study provides the first quantitative evidence linking climate change and the risk of civil conflict. It concludes by urging accelerated support by African governments and foreign aid donors for new and/or expanded policies to assist with African adaptation to climate change.

"Despite recent high-level statements suggesting that climate change could worsen the risk of civil conflict, until now we had little quantitative evidence linking the two," said Marshall Burke, the study's lead author,  a graduate student at UC Berkeley's Department of Agricultural and Resource Economics, and research associate at the Program on Food Security and the Environment. "Unfortunately, our study finds that climate change could increase the risk of African civil war by over 50 percent in 2030 relative to 1990, with huge potential costs to human livelihoods."

"We were definitely surprised that the linkages between temperature and recent conflict were so strong," said Edward Miguel, professor of economics at UC Berkeley and faculty director of UC Berkeley's Center for Evaluation for Global Action. "But the result makes sense. The large majority of the poor in most African countries depend on agriculture for their livelihoods, and their crops are quite sensitive to small changes in temperature.  So when temperatures rise, the livelihoods of many in Africa suffer greatly, and the disadvantaged become more likely to take up arms."

Understanding the causes and consequences of civil strife in much of the African continent has been a major focus of the social sciences for decades, said Miguel, given the monumental suffering has resulted from it.

In the study, the researchers first combined historical data on civil wars in sub-Saharan Africa with rainfall and temperature records across the continent. They found that between 1980 and 2002, civil wars were significantly more likely in warmer-than-average years, with a 1 degree Celsius increase in temperature in a given year raising the incidence of conflict across the continent by nearly 50 percent.

Building on this historical relationship between temperature and conflict, the researchers then used projections of future temperature and precipitation change to quantify future changes in the likelihood of African civil war. Based on climate projections from 20 global climate models, the researchers found that the incidence of African civil war could increase 55 percent by 2030, resulting in an additional 390,000 battle deaths if future wars are as deadly as recent wars.

All climate models project rising temperatures in coming decades, said David Lobell, study co-author and an assistant professor of environmental earth system science at Stanford and center fellow at Stanford's Program on Food Security and the Environment, a joint program of the Freeman Spogli Institute for International Studies and the Woods Institute for the Environment.

"On average, the models suggest that temperatures over the African continent will increase by a little over 1 degree Celsius by 2030," he added. "Given the strong historical relationship between temperature rise and conflict, this expected future rise in temperature is enough to cause big increases in the likelihood of conflict."

To confirm that this projection was not the result of large effects in just a few countries or due to overreliance on a particular climate model, the researchers recalculated future conflict projections using alternate data.  "No matter what we tried - different historical climate data, different climate model projections, different subsets of the conflict data - we still found the same basic result," said Lobell.

It's easy to think of climate change as a long way off, said the researchers, but their study shows how sensitive many human systems are to small increases in temperature, and how fast the negative impacts of climate change could be felt.

"Our findings provide strong impetus to ramp up investments in African adaptation to climate change, for instance by developing crop varieties less sensitive to extreme heat and promoting insurance plans to help protect farmers from adverse effects of the hotter climate," said Burke.

Applying findings from this study could prove useful to policy makers at the upcoming Copenhagen negotiations in December in determining both the speed and magnitude of response to climate change, the authors said.

"If the sub-Saharan climate continues to warm and little is done to help its countries better adapt to high temperatures, the human costs are likely to be staggering," said Burke.

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Armed conflict within nations has had disastrous humanitarian consequences throughout much of the world. Here we undertake the first comprehensive examination of whether global climate change will exacerbate armed conflict in sub-Saharan Africa. We find strong historical linkages between civil war and temperature on the continent, with warmer years leading to significant increases in the likelihood of war. When combined with climate model projections of future temperature trends, this historical response to temperature suggests a roughly 60% increase in armed conflict incidence by 2030, or an additional 390,000 battle deaths if future wars are as deadly as recent wars.  Our results suggest an urgent need to reform African governments' and foreign aid donors' policies to deal with rising temperatures.

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Proceedings of the National Academy of Sciences
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Marshall Burke
David Lobell

Violent conflicts claim 3,000 lives per day through wars, bombings and attacks that dominate the news media. Meanwhile, behind the headlines, 20,000 people die each day from causes related to hunger and poverty. Physical security and food security are deeply connected. Over a billion people suffer from chronic food insecurity, a situation that feeds violent conflict and weakens national and international security. Food insecurity is especially problematic in agricultural regions where income growth is constrained by resource scarcity, disease, and environmental stress.

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Gerald Nelson, Senior Research Fellow at IFPRI will be giving a talk on Climate and Agriculture in the Context of Copenhagen. Nelson received his PhD from Stanford University in 1982. Since that time he has served as the Agricultural Development Council representative at the University of the Philippines, Los Banos from 1982-85, and as assistant, associate and full professor in the Department of Agricultural and Consumer Economics, University of Illinois, Urbana-Champaign from 1985 to 2008. He is now an agricultural economist at the International Food Policy Research Institute (IFPRI) in Washington, DC specializing in climate change.


Jerry Yang and Akiko Yamazaki
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Gerald Nelson Senior Research Fellow Speaker International Food Policy and Research Institute
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Recent work has shown that current bio-energy policy directives may have harmful, indirect consequences, affecting both food security and the global climate system. An additional unintended but direct effect of large-scale biofuel production is the impact on local and regional climate resulting from changes in the energy and moisture balance of the surface upon conversion to biofuel crops. Using the latest version of the WRF modeling system we conducted twenty-four, midsummer, continental-wide, sensitivity experiments by imposing realistic biophysical parameter limits appropriate for bio-energy crops in the Corn Belt of the United States. In the absence of strain/crop-specific parameterizations, a primary goal of this work was to isolate the maximum regional climate impact, for a trio of individual July months, due to land-use change resulting from bio-energy crops and to identify relative importance of each biophysical parameter in terms of its individual effect. Maximum, local changes in 2 m temperature of the order of 1C occur for the full breadth of albedo (ALB), minimum canopy resistance (RCMIN) and rooting depth (ROOT) specifications, while the regionally (105W-75W and 35N-50N) and monthly averaged response of 2 m temperature was most pronounced for the ALB and RCMIN experiments, exceeding 0.2C. The full range of the albedo variability associated with biofuel crops may be sufficient to drive regional changes in summertime rainfall. Individual parameter effects on 2 m temperature are additive, highlight the cooling contribution of higher leaf area index (LAI) and ROOT for perennial grasses (e.g., Miscanthus) versus annual crops (e.g., maize), and underscore the necessity of improving location- and vegetation-specific representation of RCMIN and ALB.

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Geophysical Research Letters
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Matei Georgescu
David Lobell
Christopher B. Field

 

In June 2009, a group of experts in climate science, crop modeling, and crop development gathered at Stanford University to discuss the major needs for successful crop adaptation to climate change. To focus discussion over the three day period, the meeting centered on just three major crops – rice, wheat, and maize – given that these provide the bulk of calories to most populations. The meeting also focused on two aspects of climate– extreme high temperatures and extreme low moisture conditions (i.e. drought) – that present substantial challenges to crops in current climate and are likely to become more prevalent through time. Other aspects of climate change such as more frequent flooding or saltwater intrusion associated with rising sea levels were not addressed, although they may also be important.

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Development of new crop varieties that are more heat and drought tolerant will be critical for successful adaptation to a warmer world. A recent 3 day meeting of international climate and crop experts at Stanford University focused on specific needs and promising approaches for improving crops. A meeting synopsis and recommended priorities can be found in a summary report, Climate Extremes and Crop Adaptation.

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This study uses regression analysis to evaluate the relationships among sea surface temperature anomalies (SSTA) averaged over the Niño-3.4 region (5°N-5°S, 120°-170°W), rainfall, and rice production, area harvested, and yield in Luzon, the large island on which most Philippine rice is grown. Previous research on Philippine rice production and El Niño-Southern Oscillation (ENSO) has found negative associations between El Niño events and rice yields in rainfed systems. This analysis goes further and shows that both irrigated and rainfed ecosystems are impacted. It also compares impacts on area harvested and yield. Variations in average July-September Niño-3.4 SSTAs explain approximately 29% of the interannual variations in the deviations of total January-June (dry season) rice production from a polynomial trend for 1970-2005. In contrast, no impact was found on July-December production in either year t or t + 1. The impact of ENSO on dry-season rice production in Luzon appears to be primarily due to changes in area harvested rather than yield. Production declines for rainfed ecosystems are relatively larger than for irrigated ecosystems: a 1°C increase in average July-September Niño-3.4 SSTA is associated with a 3.7% decrease in irrigated dry-season production but with a 13.7% decline in rainfed dry-season production.

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Journal of Applied Meteorology and Climatology
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Walter P. Falcon
Rosamond L. Naylor
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This study investigates the skill of linear methods for downscaling provincial-scale precipitation over Indonesia from fields that describe the large-scale circulation and hydrological cycle. The study is motivated by the strong link between large-scale variations in the monsoon and the El Nino - Southern Oscillation (ENSO) phenomenon and regional precipitation, and the subsequent impact of regional precipitation on rice production in Indonesia. Three different downscaling methods are tested across five different combinations of large-scale predictor fields, and two different estimates of regional precipitation for Indonesia.

Downscaling techniques are most skillful over the southern islands (Java and Bali) during the monsoon onset or transition season (Sep.-Dec.). The methods are moderately skillful in the southern islands during the dry season (May-Aug.), and exhibit poor skill during the wet season (Jan.-Apr.). In northern Sumatra downscaling methods are most skillful during Jan.-Apr. with little skill at other times of the year. There is little difference between the three different linear methods used to downscale precipitation over Indonesia. Additional analysis indicates that downscaling methods that are trained on the annual cycle of precipitation produce less-biased estimates of the annual cycle of regional precipitation than raw model output, and also show some skill at reconstructing interannual variations in regional precipitation. Most of the downscaling methods' skill is attributed to year-to-year ENSO variations and to the long-term trend in precipitation and large-scale fields.

While the goal of the present study is to investigate the skill of downscaling methods specifically for Indonesia, results are expected to be more generally applicable. In particular, the downscaling models derived from observations have been effectively used to debias the annual cycle of regional precipitation from global climate models. It is expected that the methods will be generally applicable in other regions where regional precipitation is strongly affected by the large-scale circulation.

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International Journal of Climatology
Authors
David S. Battisti
Rosamond L. Naylor
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