TY - JOUR
T1 - Satellite-driven estimation of terrestrial carbon flux over Far East Asia with 1-km grid resolution
AU - Sasai, Takahiro
AU - Saigusa, Nobuko
AU - Nasahara, Kenlo Nishida
AU - Ito, Akihiko
AU - Hashimoto, Hirofumi
AU - Nemani, Ramakrishna
AU - Hirata, Ryuichi
AU - Ichii, Kazuhito
AU - Takagi, Kentaro
AU - Saitoh, Taku M.
AU - Ohta, Takeshi
AU - Murakami, Kazutaka
AU - Yamaguchi, Yasushi
AU - Oikawa, Takehisa
N1 - Funding Information:
The corresponding author is deeply grateful to Dr. S. Togashi from the National Institute of Advanced Industrial Science and Technology. This study was supported in part by the Global Environment Research Fund from the Japanese Ministry of the Environment , Integrated Study for the Terrestrial Carbon Management of Asia in the 21st Century Based on Scientific Advancements , by a Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT) Grant-in-Aid for Young Scientists (B) (No. 20710018 ), by the Global Environmental Monitoring , Center for Global Environmental Research , National Institute for Environmental Studies, and by the JAXA GCOM-C project under contract 102: “Development of integrative information of the terrestrial ecosystem”.
PY - 2011/7/15
Y1 - 2011/7/15
N2 - The terrestrial carbon cycle is strongly affected by natural phenomena, terrain heterogeneity, and human-induced activities that alter carbon exchange via vegetation and soil activities. In order to accurately understand terrestrial carbon cycle mechanisms, it is necessary to estimate spatial and temporal variations in carbon flux and storage using process-based models with the highest possible resolution. We estimated terrestrial carbon fluxes using a biosphere model integrating eco-physiological and mechanistic approaches based on satellite data (BEAMS) and observations with 1-km grid resolution. The study area is the central Far East Asia region, which lies between 30° and 50° north latitude and 125° and 150° east longitude. Aiming to simulate terrestrial carbon exchanges under realistic land surface conditions, we used as many satellite-observation datasets as possible, such as the standard MODIS, TRMM, and SRTM high-level land products. Validated using gross primary productivity (GPP), net ecosystem production (NEP), net radiation and latent heat with ground measurements at six flux sites, the model estimations showed reasonable seasonal and annual patterns. In extensive analysis, the total GPP and NPP were determined to be 2.1 and 0.9. PgC/year, respectively. The total NEP estimation was +. 5.6. TgC/year, meaning that the land area played a role as a carbon sink from 2001 to 2006. In analyses of areas with complicated topography, the 1-km grid estimation could prove to be effective in evaluating the effect of landscape on the terrestrial carbon cycle. The method presented here is an appropriate approach for gaining a better understanding of terrestrial carbon exchange, both spatially and temporally.
AB - The terrestrial carbon cycle is strongly affected by natural phenomena, terrain heterogeneity, and human-induced activities that alter carbon exchange via vegetation and soil activities. In order to accurately understand terrestrial carbon cycle mechanisms, it is necessary to estimate spatial and temporal variations in carbon flux and storage using process-based models with the highest possible resolution. We estimated terrestrial carbon fluxes using a biosphere model integrating eco-physiological and mechanistic approaches based on satellite data (BEAMS) and observations with 1-km grid resolution. The study area is the central Far East Asia region, which lies between 30° and 50° north latitude and 125° and 150° east longitude. Aiming to simulate terrestrial carbon exchanges under realistic land surface conditions, we used as many satellite-observation datasets as possible, such as the standard MODIS, TRMM, and SRTM high-level land products. Validated using gross primary productivity (GPP), net ecosystem production (NEP), net radiation and latent heat with ground measurements at six flux sites, the model estimations showed reasonable seasonal and annual patterns. In extensive analysis, the total GPP and NPP were determined to be 2.1 and 0.9. PgC/year, respectively. The total NEP estimation was +. 5.6. TgC/year, meaning that the land area played a role as a carbon sink from 2001 to 2006. In analyses of areas with complicated topography, the 1-km grid estimation could prove to be effective in evaluating the effect of landscape on the terrestrial carbon cycle. The method presented here is an appropriate approach for gaining a better understanding of terrestrial carbon exchange, both spatially and temporally.
KW - BEAMS
KW - Biosphere model
KW - Gross primary production
KW - Net ecosystem production
KW - Net primary production
KW - Remote sensing
KW - Terrestrial carbon cycle
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U2 - 10.1016/j.rse.2011.03.007
DO - 10.1016/j.rse.2011.03.007
M3 - Article
AN - SCOPUS:79954588955
VL - 115
SP - 1758
EP - 1771
JO - Remote Sensing of Environment
JF - Remote Sensing of Environment
SN - 0034-4257
IS - 7
ER -