中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页 机构 成果 学者
  
  1. CAS IR Grid
  2. 地理科学与资源研究所
  3. 中国科学院地理科学与资源研究所
  4. 资源与环境信息系统国家重点实验室
  5. 外文论文
Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems

文献类型：期刊论文

作者Tang, Xiaolu2,3; Fan, Shaohui4; Du, Manyi5; Zhang, Wenjie6,7; Gao, Sicong7; Liu, Shibin2; Chen, Guo2; Yu, Zhen1,8; Yang, Wunian2
刊名EARTH SYSTEM SCIENCE DATA
出版日期2020-05-07
卷号12期号:2页码:1037-1051
ISSN号1866-3508
DOI10.5194/essd-12-1037-2020
英文摘要Soil heterotrophic respiration (RH) is one of the largest and most uncertain components of the terrestrial carbon cycle, directly reflecting carbon loss from soils to the atmosphere. However, high variations and uncertainties of RH existing in global carbon cycling models require RH estimates from different angles, e.g., a data-driven angle. To fill this knowledge gap, this study applied a Random Forest (RF) algorithm (a machine learning approach) to (1) develop a globally gridded RH dataset and (2) investigate its spatial and temporal patterns from 1980 to 2016 at the global scale by linking field observations from the Global Soil Respiration Database and global environmental drivers (temperature, precipitation, soil water content, etc.). Finally, a globally gridded RH dataset was developed covering from 1980 to 2016 with a spatial resolution of half a degree and a temporal resolution of 1 year. Globally, the average annual RH was 57.2 +/- 0.6 PgC a(-1) from 1980 to 2016, with a significantly increasing trend of 0.036 +/- 0.007 PgC a(-2). However, the temporal trend of the carbon loss from RH varied in climate zones, and RH showed a significant and increasing trend in boreal and temperate areas. In contrast, such a trend was absent in tropical regions. Temperature-driven RH dominated 39% of global land and was primarily distributed at high-latitude areas. The areas dominated by precipitation and soil water content were mainly semiarid and tropical areas, accounting for 36% and 25% of global land area, respectively, suggesting variations in the dominance of environmental controls on the spatial patterns of RH. The developed globally gridded RH dataset will further aid in the understanding of the mechanisms of global soil carbon dynamics, serving as a benchmark to constrain terrestrial biogeochemical models.2019a
WOS关键词NET PRIMARY PRODUCTIVITY ; CLIMATE-CHANGE ; AUTOTROPHIC RESPIRATION ; CARBON ; TEMPERATURE ; MOISTURE ; SENSITIVITY ; NITROGEN ; DYNAMICS ; FUTURE
资助项目National Natural Science Foundation of China[31800365] ; National Natural Science Foundation of China[41671432] ; Fundamental Research Funds of International Centre for Bamboo and Rattan[1632017003] ; Fundamental Research Funds of International Centre for Bamboo and Rattan[1632018003] ; Fundamental Research Funds of Public Welfare of Central Institutes[CAFYBB2018MA002] ; State Key Development Program of National Thirteenth Five-year plan of China[2018YFD0600105] ; Innovation funding of Remote Sensing Science and Technology of Chengdu University of Technology[KYTD201501] ; Starting Funding and Foundation for University Key Teacher of Chengdu University of Technology[10912-2018KYQD-06910] ; Starting Funding and Foundation for University Key Teacher of Chengdu University of Technology[10912-2019JX-06910] ; Key Laboratory of Geoscience Spatial Information Technology of the Ministry of Land and Resources (Chengdu University of Technology)
WOS研究方向Geology ; Meteorology & Atmospheric Sciences
语种英语
出版者COPERNICUS GESELLSCHAFT MBH
WOS记录号WOS:000531862700001
资助机构National Natural Science Foundation of China ; Fundamental Research Funds of International Centre for Bamboo and Rattan ; Fundamental Research Funds of Public Welfare of Central Institutes ; State Key Development Program of National Thirteenth Five-year plan of China ; Innovation funding of Remote Sensing Science and Technology of Chengdu University of Technology ; Starting Funding and Foundation for University Key Teacher of Chengdu University of Technology ; Key Laboratory of Geoscience Spatial Information Technology of the Ministry of Land and Resources (Chengdu University of Technology)
源URL[http://ir.igsnrr.ac.cn/handle/311030/159736]  
专题资源与环境信息系统国家重点实验室_外文论文
作者单位1.Nanjing Univ Informat Sci & Technol, Sch Appl Meteorol, Nanjing 210044, Peoples R China
2.Chengdu Univ Technol, Coll Earth Sci, Chengdu 610059, Peoples R China
3.Chengdu Univ Technol, State Environm Protect Key Lab Synerget Control &, Chengdu 610059, Peoples R China
4.Int Ctr Bamboo & Rattan, Key Lab Bamboo & Rattan, Beijing 100102, Peoples R China
5.Chinese Acad Forestry, Expt Ctr Forestry North China, Beijing 102300, Peoples R China
6.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing 100101, Peoples R China
7.Univ Technol Sydney, Sch Life Sci, Ultimo, NSW 2007, Australia
8.Iowa State Univ, Dept Ecol Evolut & Organismal Biol, Ames, IA 50011 USA
推荐引用方式
GB/T 7714		 Tang, Xiaolu,Fan, Shaohui,Du, Manyi,et al. Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems[J]. EARTH SYSTEM SCIENCE DATA,2020,12(2):1037-1051.
APA Tang, Xiaolu.,Fan, Shaohui.,Du, Manyi.,Zhang, Wenjie.,Gao, Sicong.,...&Yang, Wunian.(2020).Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems.EARTH SYSTEM SCIENCE DATA,12(2),1037-1051.
MLA Tang, Xiaolu,et al."Spatial and temporal patterns of global soil heterotrophic respiration in terrestrial ecosystems".EARTH SYSTEM SCIENCE DATA 12.2(2020):1037-1051.

入库方式： OAI收割

来源：地理科学与资源研究所

浏览0
下载0
收藏0
其他版本

除非特别说明，本系统中所有内容都受版权保护，并保留所有权利。