
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
US major crops’ uncertain climate change risks and greenhouse gas mitigation benefits

handle: 2144/27341 , 1721.1/100822
We estimate the costs of climate change to US agriculture, and associated potential benefits of abating greenhouse gas emissions. Five major crops’ yield responses to climatic variation are modeled empirically, and the results combined with climate projections for a no-policy, high-warming future, as well as moderate and stringent mitigation scenarios. Unabated warming reduces yields of wheat and soybeans by 2050, and cotton by 2100, but moderate warming increases yields of all crops except wheat. Yield changes are monetized using the results of economic simulations within an integrated climate-economy modeling framework. Uncontrolled warming’s economic effects on major crops are slightly positive—annual benefits <$4 B. These are amplified by emission reductions, but subject to diminishing returns—by 2100 reaching $17 B under moderate mitigation, but only $7 B with stringent mitigation. Costs and benefits are sensitive to irreducible uncertainty about the fertilization effects of elevated atmospheric carbon dioxide, without which unabated warming incurs net costs of up to $18 B, generating benefits to moderate (stringent) mitigation as large as $26 B ($20 B).
- University of Maryland, College Park United States
- University of California System United States
- Boston University United States
- Joint Global Change Research Institute United States
- Joint Global Change Research Institute United States
330, 550, Science, QC1-999, Environmental technology. Sanitary engineering, 333, Climate change, Meteorology & Atmospheric Sciences, integrated assessment, GE1-350, econometric modeling, TD1-1066, agriculture, Physics, Q, climate change impacts, Agriculture, United States, Climate Action, Environmental sciences, Emissions, error-correction model, Meteorology & atmospheric sciences
330, 550, Science, QC1-999, Environmental technology. Sanitary engineering, 333, Climate change, Meteorology & Atmospheric Sciences, integrated assessment, GE1-350, econometric modeling, TD1-1066, agriculture, Physics, Q, climate change impacts, Agriculture, United States, Climate Action, Environmental sciences, Emissions, error-correction model, Meteorology & atmospheric sciences
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).19 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 10% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 10%
