Global S&T Development Trend Analysis Platform of Resources and Environment
DOI | 10.1002/2017GL075124 |
Quantifying the Effects of Historical Land Cover Conversion Uncertainty on Global Carbon and Climate Estimates | |
Di Vittorio, A. V.1; Mao, J.2,3; Shi, X.2,3; Chini, L.4; Hurtt, G.4; Collins, W. D.1,5 | |
2018-01-28 | |
发表期刊 | GEOPHYSICAL RESEARCH LETTERS
![]() |
ISSN | 0094-8276 |
EISSN | 1944-8007 |
出版年 | 2018 |
卷号 | 45期号:2页码:974-982 |
文章类型 | Article |
语种 | 英语 |
国家 | USA |
英文摘要 | Previous studies have examined land use change as a driver of global change, but the translation of land use change into land cover conversion has been largely unconstrained. Here we quantify the effects of land cover conversion uncertainty on the global carbon and climate system using the integrated Earth System Model. Our experiments use identical land use change data and vary land cover conversions to quantify associated uncertainty in carbon and climate estimates. Land cover conversion uncertainty is large, constitutes a 5 ppmv range in estimated atmospheric CO2 in 2004, and generates carbon uncertainty that is equivalent to 80% of the net effects of CO2 and climate and 124% of the effects of nitrogen deposition during 1850-2004. Additionally, land cover uncertainty generates differences in local surface temperature of over 1 degrees C. We conclude that future studies addressing land use, carbon, and climate need to constrain and reduce land cover conversion uncertainties. Plain Language Summary In order to help people adjust to and lessen the local impacts of global change, international modeling efforts aim to understand global change and its impacts on humans and the environment. Most human activities are on land, such as living, agriculture, and wood harvest, and these activities both contribute to and are affected by global change. Modeling how these activities change vegetation cover, and subsequently the greater environment, is difficult and highly uncertain, yet crucial to understanding impacts of global change. Here we estimate an uncertainty in year 2004 global forest cover of 5.1 km(2) using one historical agriculture pattern, and corresponding uncertainties of 5 ppmv in atmospheric carbon dioxide concentration and greater than 1 degrees C in local surface temperature. The associated uncertainty in land carbon storage is 80% of the estimated additional carbon stored due to historical changes in carbon dioxide concentration and climate, and 124% of the additional carbon attributed to nitrogen deposition. We conclude that future studies of global change and its impacts on humans and the environment need to constrain and reduce land cover uncertainties. |
领域 | 气候变化 |
收录类别 | SCI-E |
WOS记录号 | WOS:000425514300055 |
WOS关键词 | EARTH SYSTEM MODEL ; WOOD HARVEST ; EMISSIONS ; IMPACT ; CMIP5 |
WOS类目 | Geosciences, Multidisciplinary |
WOS研究方向 | Geology |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://119.78.100.173/C666/handle/2XK7JSWQ/28057 |
专题 | 气候变化 |
作者单位 | 1.Lawrence Berkeley Natl Lab, Berkeley, CA 94720 USA; 2.Oak Ridge Natl Lab, Environm Sci Div, Oak Ridge, TN USA; 3.Oak Ridge Natl Lab, Climate Change Sci Inst, Oak Ridge, TN USA; 4.Univ Maryland, Dept Geog Sci, College Pk, MD 20742 USA; 5.Univ Calif Berkeley, Dept Earth & Planetary Sci, Berkeley, CA 94720 USA |
推荐引用方式 GB/T 7714 | Di Vittorio, A. V.,Mao, J.,Shi, X.,et al. Quantifying the Effects of Historical Land Cover Conversion Uncertainty on Global Carbon and Climate Estimates[J]. GEOPHYSICAL RESEARCH LETTERS,2018,45(2):974-982. |
APA | Di Vittorio, A. V.,Mao, J.,Shi, X.,Chini, L.,Hurtt, G.,&Collins, W. D..(2018).Quantifying the Effects of Historical Land Cover Conversion Uncertainty on Global Carbon and Climate Estimates.GEOPHYSICAL RESEARCH LETTERS,45(2),974-982. |
MLA | Di Vittorio, A. V.,et al."Quantifying the Effects of Historical Land Cover Conversion Uncertainty on Global Carbon and Climate Estimates".GEOPHYSICAL RESEARCH LETTERS 45.2(2018):974-982. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论