TY - JOUR
T1 - Spatiotemporal pattern of soil respiration of terrestrial ecosystems in China
T2 - The development of a geostatistical model and its simulation
AU - Yu, Guirui
AU - Zheng, Zemei
AU - Wang, Qiufeng
AU - Fu, Yuling
AU - Zhuang, Jie
AU - Sun, Xiaomin
AU - Wang, Yuesi
PY - 2010/8/15
Y1 - 2010/8/15
N2 - Quantification of the spatiotemporal pattern of soil respiration (Rs) at the regional scale can provide a theoretical basis and fundamental data for accurate evaluation of the global carbon budget. This study summarizes the Rs data measured in China from 1995 to 2004. Based on the data, a new region-scale geostatistical model of soil respiration (GSMSR) was developed by modifying a global scale statistical model. The GSMSR model, which is driven by monthly air temperature, monthly precipitation, and soil organic carbon (SOC) density, can capture 64% of the spatiotemporal variability of soil Rs. We evaluated the spatiotemporal pattern of Rs in China using the GSMSR model. The estimated results demonstrate that the annual Rs in China ranged from 3.77 to 4.00 Pg C yr-1 between 1995 and 2004, with an average value of 3.84 ± 0.07 Pg C yr-1, contributing 3.92%-4.87% to the global soil CO2 emission. Annual Rs rate of evergreen broadleaved forest ecosystem was 698 ± 11gC m-2 yr-1, significantly higher than that of grassland (439 ± 7g Cm-2yr-1) and cropland (555 ± 12gCm-2yr-1). The contributions of grassland, cropland, and forestland ecosystems to the total Rs in China were 48.38 ± 0.35%, 22.19 ± 0.18%, and 20.84 ± 0.13%, respectively.
AB - Quantification of the spatiotemporal pattern of soil respiration (Rs) at the regional scale can provide a theoretical basis and fundamental data for accurate evaluation of the global carbon budget. This study summarizes the Rs data measured in China from 1995 to 2004. Based on the data, a new region-scale geostatistical model of soil respiration (GSMSR) was developed by modifying a global scale statistical model. The GSMSR model, which is driven by monthly air temperature, monthly precipitation, and soil organic carbon (SOC) density, can capture 64% of the spatiotemporal variability of soil Rs. We evaluated the spatiotemporal pattern of Rs in China using the GSMSR model. The estimated results demonstrate that the annual Rs in China ranged from 3.77 to 4.00 Pg C yr-1 between 1995 and 2004, with an average value of 3.84 ± 0.07 Pg C yr-1, contributing 3.92%-4.87% to the global soil CO2 emission. Annual Rs rate of evergreen broadleaved forest ecosystem was 698 ± 11gC m-2 yr-1, significantly higher than that of grassland (439 ± 7g Cm-2yr-1) and cropland (555 ± 12gCm-2yr-1). The contributions of grassland, cropland, and forestland ecosystems to the total Rs in China were 48.38 ± 0.35%, 22.19 ± 0.18%, and 20.84 ± 0.13%, respectively.
UR - https://www.scopus.com/pages/publications/77956522255
U2 - 10.1021/es100979s
DO - 10.1021/es100979s
M3 - 文章
C2 - 20704202
AN - SCOPUS:77956522255
SN - 0013-936X
VL - 44
SP - 6074
EP - 6080
JO - Environmental Science and Technology
JF - Environmental Science and Technology
IS - 16
ER -
