China-Pakistan Economic Corridor Zone II Versions ZH4 Vol 3 (3) 2018.
A dataset of Organic carbon storage and carbon dynamic in arid and semiarid China from 1980 to 2014
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Abstract & Keywords
Abstract: The organic carbon storage and carbon dynamic datasets in arid and semiarid regions of China were simulated by the Arid (Arid Ecosystem Model), a unique arid ecosystem model. This dataset collects the organic carbon stocks and carbon dynamics data of ecosystems in arid and semi-arid regions of China from 1980 to 2014, including total carbon storage, vegetation carbon storage, soil organic carbon storage and litter carbon storage. With a spatial resolution of 50 km × 50 km, the study area (27.6°–53.6°N, 73.4°–127.5°E) spans the whole of Xinjiang, Gansu, Inner Mongolia, Tibet, Qinghai, and Heilongjiang and Liaoning. In the west of Jilin, Hebei, Shaanxi, Shanxi, and northern Ningxia account for about half of the country's land area. This dataset is an important part of China's organic carbon stocks. This dataset has important scientific significance for maintaining the sustainable development of ecosystems in arid and semiarid regions of China.
Keywords: AEM model; arid and semiarid; carbon storage
Dataset Profile
TitleA dataset of Organic carbon storage and carbon dynamic in arid and semiarid China from 1980 to 2014
Data authorsFang Xia, Zhang Chi, Zhang Yaonan, Kang Jianfang
Data corresponding authorZhang Chi (
Time range1980–2014
Geographical scopeArid and semiarid China
Data volume1.18 MB
Data format*.Grid
Data service system
Sources of fundingProject of the National Science and Technology Infrastructure Platform (Y719H71006); Chinese Academy of Sciences informatization special project (XXH13506)
Dataset compositionThis dataset contains the distributional data of carbon stocks in arid and semiarid China from 1980 to 2014 simulated from AEM model.
Associated datasetDynamic spatial datasets of ecological carbon pools and carbon sources and sinks in arid regions of western China under the impact of climate change from 1980 to 2014, published in China Scientific Data[1] , DOI: 10.11922/csdata.2018.0039.zh,
Association descriptionThe data set simulation method is the same, the geographical area is different, and the meteorological data input by the model is different.
Article and author information
Fang Xia
Zhang Chi
Zhang Yaonan
Kang Jianfang
Publication records
Published: Sept. 25, 2018 ( VersionsZH2
Updated: Sept. 25, 2018 ( VersionsZH4