@article{791337033b164dc6a0550a4a497e9626,
title = "Spatial and temporal variations in global soil respiration and their relationships with climate and land cover",
abstract = "Soil respiration (Rs) represents the largest flux of CO2 from terrestrial ecosystems to the atmosphere, but its spatial and temporal changes as well as the driving forces are not well understood. We derived a product of annual global Rs from 2000 to 2014 at 1 km by 1 km spatial resolution using remote sensing data and biome-specific statistical models. Different from the existing view that climate change dominated changes in Rs, we showed that land-cover change played a more important role in regulating Rs changes in temperate and boreal regions during 2000-2014. Significant changes in Rs occurred more frequently in areas with significant changes in short vegetation cover (i.e., all vegetation shorter than 5 m in height) than in areas with significant climate change. These results contribute to our understanding of global Rs patterns and highlight the importance of land-cover change in driving global and regional Rs changes.",
author = "Ni Huang and Li Wang and Song, {Xiao Peng} and {Andrew Black}, T. and Jassal, {Rachhpal S.} and Myneni, {Ranga B.} and Chaoyang Wu and Lei Wang and Wanjuan Song and Dabin Ji and Shanshan Yu and Zheng Niu",
note = "Funding Information: This research was funded by the National Key Research and Development Program of China (no. 2017YFA0603002), the National Natural Science Foundation of China (nos. 41771465 and 41871347), and the Strategic Priority Research Program of the Chinese Academy of Sciences (no. XDA19030404). Author contributions: N.H., L.W., and Z.N. designed the study and analysis. N.H. performed the Rs model runs, analyzed the data, and wrote the manuscript. All authors contributed substantially to the data processing, writing, and discussion of the paper. Publisher Copyright: {\textcopyright} 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).",
year = "2020",
month = oct,
day = "7",
doi = "10.1126/sciadv.abb8508",
language = "English",
volume = "6",
journal = "Science Advances",
issn = "2375-2548",
number = "41",
}