4.7 Article

Quantifying the Effects of Historical Land Cover Conversion Uncertainty on Global Carbon and Climate Estimates

期刊

GEOPHYSICAL RESEARCH LETTERS
卷 45, 期 2, 页码 974-982

出版社

AMER GEOPHYSICAL UNION
DOI: 10.1002/2017GL075124

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资金

  1. U.S. Department of Energy, Office of Science, Office of Biological and Environmental Research [DE-AC02-05CH11231]
  2. Accelerated Climate Modeling for Energy project
  3. Reducing Uncertainties in Biogeochemical Interactions through Synthesis and Computing Scientific Focus Area (RUBISCO SFA) - Regional and Global Climate Modeling (RGCM) Program in the
  4. NASAIDS program
  5. DOE-SciDAC program
  6. DOE [DE-AC05-00OR22725]
  7. National Science Foundation
  8. Office of Science (Biological and Environmental Research) of the U.S. Department of Energy

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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.

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