TY - JOUR
T1 - Critical land change information enhances the understanding of carbon balance in the United States
AU - Liu, Jinxun
AU - Sleeter, Benjamin M.
AU - Zhu, Zhiliang
AU - Loveland, Thomas R.
AU - Sohl, Terry
AU - Howard, Stephen M.
AU - Key, Carl H.
AU - Hawbaker, Todd
AU - Liu, Shuguang
AU - Reed, Bradley
AU - Cochrane, Mark A.
AU - Heath, Linda S.
AU - Jiang, Hong
AU - Price, David T.
AU - Chen, Jing M.
AU - Zhou, Decheng
AU - Bliss, Norman B.
AU - Wilson, Tamara
AU - Sherba, Jason
AU - Zhu, Qiuan
AU - Luo, Yiqi
AU - Poulter, Benjamin
N1 - Funding Information:
This study was supported by the USGS Biologic Carbon Sequestration Program (LandCarbon). Early funding for this work was also provided by the NASA Interdisciplinary Sciences (NNX11AB89G) and USGS LANDFIRE projects. Additional funding also includes the DOD ESTCP Program (RC_201703). We thank the researchers from the USGS Land Cover Trends project and the MTBS project for data and technical assistance. Xiaomeng Huang, Jie Yang, and Wanjing Wei from Qinghua University and Thomas Uram from Argonne National Laboratory helped with parallel IBIS I/O development. Zhen Zhang from University of Maryland provided monthly spatial CO data and Xuehe Lu of Nanjing University provided annual nitrogen deposition data. Carol Deering assisted in reference searches and citations. Thomas Adamson conducted a technical edit. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE‐AC02‐06CH11357. 2
Funding Information:
This study was supported by the USGS Biologic Carbon Sequestration Program (LandCarbon). Early funding for this work was also provided by the NASA Interdisciplinary Sciences (NNX11AB89G) and USGS LANDFIRE projects. Additional funding also includes the DOD ESTCP Program (RC_201703). We thank the researchers from the USGS Land Cover Trends project and the MTBS project for data and technical assistance. Xiaomeng Huang, Jie Yang, and Wanjing Wei from Qinghua University and Thomas Uram from Argonne National Laboratory helped with parallel IBIS I/O development. Zhen Zhang from University of Maryland provided monthly spatial CO2 data and Xuehe Lu of Nanjing University provided annual nitrogen deposition data. Carol Deering assisted in reference searches and citations. Thomas Adamson conducted a technical edit. This research used resources of the Argonne Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC02-06CH11357.
Publisher Copyright:
© 2020 John Wiley & Sons Ltd
PY - 2020/7/1
Y1 - 2020/7/1
N2 - Large-scale terrestrial carbon (C) estimating studies using methods such as atmospheric inversion, biogeochemical modeling, and field inventories have produced different results. The goal of this study was to integrate fine-scale processes including land use and land cover change into a large-scale ecosystem framework. We analyzed the terrestrial C budget of the conterminous United States from 1971 to 2015 at 1-km resolution using an enhanced dynamic global vegetation model and comprehensive land cover change data. Effects of atmospheric CO2 fertilization, nitrogen deposition, climate, wildland fire, harvest, and land use/land cover change (LUCC) were considered. We estimate annual C losses from cropland harvest, forest clearcut and thinning, fire, and LUCC were 436.8, 117.9, 10.5, and 10.4 TgC/year, respectively. C stored in ecosystems increased from 119,494 to 127,157 TgC between 1971 and 2015, indicating a mean annual net C sink of 170.3 TgC/year. Although ecosystem net primary production increased by approximately 12.3 TgC/year, most of it was offset by increased C loss from harvest and natural disturbance and increased ecosystem respiration related to forest aging. As a result, the strength of the overall ecosystem C sink did not increase over time. Our modeled results indicate the conterminous US C sink was about 30% smaller than previous modeling studies, but converged more closely with inventory data.
AB - Large-scale terrestrial carbon (C) estimating studies using methods such as atmospheric inversion, biogeochemical modeling, and field inventories have produced different results. The goal of this study was to integrate fine-scale processes including land use and land cover change into a large-scale ecosystem framework. We analyzed the terrestrial C budget of the conterminous United States from 1971 to 2015 at 1-km resolution using an enhanced dynamic global vegetation model and comprehensive land cover change data. Effects of atmospheric CO2 fertilization, nitrogen deposition, climate, wildland fire, harvest, and land use/land cover change (LUCC) were considered. We estimate annual C losses from cropland harvest, forest clearcut and thinning, fire, and LUCC were 436.8, 117.9, 10.5, and 10.4 TgC/year, respectively. C stored in ecosystems increased from 119,494 to 127,157 TgC between 1971 and 2015, indicating a mean annual net C sink of 170.3 TgC/year. Although ecosystem net primary production increased by approximately 12.3 TgC/year, most of it was offset by increased C loss from harvest and natural disturbance and increased ecosystem respiration related to forest aging. As a result, the strength of the overall ecosystem C sink did not increase over time. Our modeled results indicate the conterminous US C sink was about 30% smaller than previous modeling studies, but converged more closely with inventory data.
KW - DGVM
KW - carbon sequestration
KW - ecosystem model
KW - ecosystem productivity
KW - land use and land cover change
KW - wildfire
UR - http://www.scopus.com/inward/record.url?scp=85083388393&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85083388393&partnerID=8YFLogxK
U2 - 10.1111/gcb.15079
DO - 10.1111/gcb.15079
M3 - Article
C2 - 32162439
AN - SCOPUS:85083388393
SN - 1354-1013
VL - 26
SP - 3920
EP - 3929
JO - Global change biology
JF - Global change biology
IS - 7
ER -