干旱区生态环境知识资源中心(Arid): Global variability in belowground autotrophic respiration in terrestrial ecosystems

Arid

DOI	10.5194/essd-11-1839-2019
	Global variability in belowground autotrophic respiration in terrestrial ecosystems
	Tang, Xiaolu 1,2; Fan, Shaohui 3; Zhang, Wenjie 4,5; Gao, Sicong 5; Chen, Guo 1; Shi, Leilei 6
通讯作者	Zhang, Wenjie ; Gao, Sicong
来源期刊	EARTH SYSTEM SCIENCE DATA
ISSN	1866-3508
EISSN	1866-3516
出版年	2019
卷号	11 期号:4 页码:1839-1852
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.
类型	Article ; Data Paper
语种	英语
国家	Peoples R China ; Australia
开放获取类型	gold, Green Submitted
收录类别	SCI-E
WOS记录号	WOS:000499991600001
WOS关键词	SOIL HETEROTROPHIC RESPIRATION ; CARBON ALLOCATION ; CO2 EFFLUX ; CLIMATE ; FOREST ; COMPONENTS ; MOISTURE ; TEMPERATURE ; PHOTOSYNTHESIS ; PRODUCTIVITY
WOS类目	Geosciences, Multidisciplinary ; Meteorology & Atmospheric Sciences
WOS研究方向	Geology ; Meteorology & Atmospheric Sciences
EI主题词	2019-11-28
来源机构	中国科学院地理科学与资源研究所
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/311004
作者单位	1.Chengdu Univ Technol, Coll Earth Sci, Chengdu, Sichuan, Peoples R China; 2.Chengdu Univ Technol, State Environm Protect Key Lab Synerget Control &, Chengdu, Sichuan, Peoples R China; 3.Int Ctr Bamboo & Rattan, Key Lab Bamboo & Rattan, Beijing, 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]. 中国科学院地理科学与资源研究所,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.