Global variability in belowground autotrophic respiration in terrestrial ecosystems

doi:10.5194/essd-11-1839-2019

	Global variability in belowground autotrophic respiration in terrestrial ecosystems
	Tang, Xiaolu 2,3; Fan, Shaohui 1; Zhang, Wenjie 4,5; Gao, Sicong 5; Chen, Guo 2; Shi, Leilei 6
刊名	EARTH SYSTEM SCIENCE DATA
	2019-11-28
卷号	11 期号:4 页码:1839-1852
ISSN号	1866-3508
DOI	10.5194/essd-11-1839-2019
通讯作者	Zhang, Wenjie(wenjie.zhang@uts.edu.au) ; Gao, Sicong(sicong.gao@student.uts.edu.au)
英文摘要	Belowground autotrophic respiration (RA) is one of the largest but most highly uncertain carbon flux components in terrestrial ecosystems. However, RA has not been explored globally before and still acts as a "black box" in global carbon cycling currently. Such progress and uncertainty motivate the development of a global RA dataset and understanding its spatial and temporal patterns, causes, and responses to future climate change. We applied the random forest (RF) algorithm to upscale an updated dataset from the Global Soil Respiration Database (v4) - covering all major ecosystem types and climate zones with 449 field observations, using globally gridded temperature, precipitation, soil and other environmental variables. We used a 10-fold cross validation to evaluate the performance of RF in predicting the spatial and temporal pattern of RA. Finally, a globally gridded RA dataset from 1980 to 2012 was produced with a spatial resolution of 0.5 degrees x 0.5 degrees (longitude x latitude) and a temporal resolution of 1 year (expressed in g C m(-2) yr(-1); grams of carbon per square meter per year). Globally, mean RA was 43.8 +/- 0.4 PgC yr(-1), with a temporally increasing trend of 0.025 +/- 0.006 PgC yr(-2) from 1980 to 2012. Such an incremental trend was widespread, representing 58% of global land. For each 1 degrees C increase in annual mean temperature, global RA increased by 0.85 +/- 0.13 PgC yr(-2), and it was 0.17 +/- 0.03 PgC yr(-2) for a 10 mm increase in annual mean precipitation, indicating positive feedback of RA to future climate change. Precipitation was the main dominant climatic driver controlling RA, accounting for 56% of global land, and was the most widely spread globally, particularly in dry or semi-arid areas, followed by shortwave radiation (25 %) and temperature (19 %). Different temporal patterns for varying climate zones and biomes indicated uneven responses of RA to future climate change, challenging the perspective that the parameters of global carbon stimulation are independent of climate zones and biomes. The developed RA dataset, the missing carbon flux component that is not constrained and validated in terrestrial ecosystem models and Earth system models, will provide insights into understanding mechanisms underlying the spatial and temporal variability in belowground vegetation carbon dynamics. The developed RA dataset also has great potential to serve as a benchmark for future data-model comparisons.
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] ; National Key Research and Development Project[2017YFC1501002] ; National Key Research and Development Project[2018YFC1504702] ; Major Scientific and Technological Support Research Subject for the Prevention and Control of Ecological Geological Disasters in 8.8 Jiuzhaigou Earthquake Stricken Area of Department of Natural Resources of Sichuan Province[KJ-2018-20] ; Innovation funding of Remote Sensing Science and Technology of Chengdu University of Technology[KYTD201501] ; Chengdu University of Technology[10912-2018KYQD-06910] ; Foundation for University Key Teacher of Chengdu University of Technology[10912-2019JX-06910] ; Key Laboratory of Geoscience Spatial Information Technology of Ministry of Land and Resources (Chengdu University of Technology)
WOS关键词	SOIL HETEROTROPHIC RESPIRATION ; CARBON ALLOCATION ; CO2 EFFLUX ; CLIMATE ; FOREST ; COMPONENTS ; MOISTURE ; TEMPERATURE ; PHOTOSYNTHESIS ; PRODUCTIVITY
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences
语种	英语
出版者	COPERNICUS GESELLSCHAFT MBH
WOS记录号	WOS:000499991600001
资助机构	National Natural Science Foundation of China ; Fundamental Research Funds of International Centre for Bamboo and Rattan ; National Key Research and Development Project ; Major Scientific and Technological Support Research Subject for the Prevention and Control of Ecological Geological Disasters in 8.8 Jiuzhaigou Earthquake Stricken Area of Department of Natural Resources of Sichuan Province ; Innovation funding of Remote Sensing Science and Technology of Chengdu University of Technology ; Chengdu University of Technology ; Foundation for University Key Teacher of Chengdu University of Technology ; Key Laboratory of Geoscience Spatial Information Technology of Ministry of Land and Resources (Chengdu University of Technology)
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/130604]
专题	中国科学院地理科学与资源研究所
通讯作者	Zhang, Wenjie; Gao, Sicong
作者单位	1.Int Ctr Bamboo & Rattan, Key Lab Bamboo & Rattan, Beijing, Peoples R China 2.Chengdu Univ Technol, Coll Earth Sci, Chengdu, Sichuan, Peoples R China 3.Chengdu Univ Technol, State Environm Protect Key Lab Synerget Control &, Chengdu, Sichuan, Peoples R China 4.Inst Geog Sci & Nat Resources Res, State Key Lab Resources & Environm Informat Syst, Beijing, Peoples R China 5.Univ Technol Sydney, Sch Life Sci, Sydney, NSW, Australia 6.Henan Univ, Coll Environm & Planning, Key Lab Geospatial Technol Middle & Lower Yellow, Jinming Ave, Kaifeng, Peoples R China
推荐引用方式 GB/T 7714	Tang, Xiaolu,Fan, Shaohui,Zhang, Wenjie,et al. Global variability in belowground autotrophic respiration in terrestrial ecosystems[J]. EARTH SYSTEM SCIENCE DATA,2019,11(4):1839-1852.
APA	Tang, Xiaolu,Fan, Shaohui,Zhang, Wenjie,Gao, Sicong,Chen, Guo,&Shi, Leilei.(2019).Global variability in belowground autotrophic respiration in terrestrial ecosystems.EARTH SYSTEM SCIENCE DATA,11(4),1839-1852.
MLA	Tang, Xiaolu,et al."Global variability in belowground autotrophic respiration in terrestrial ecosystems".EARTH SYSTEM SCIENCE DATA 11.4(2019):1839-1852.