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Predicting Land-Ecological-Economic System and Carbon Storage Dataset of Sichuan Province of China in 2030


GAO Yifan1SONG Changqing2HUANG Jiarui2WANG Yuanhui2YE Sijing2GAO Peichao*1,2
1 State Key Laboratory of Earth Surface Process and Resource Ecology,Beijing Normal University,Beijing 100875,China2 Center for GeoData and Analysis,Beijing Normal University,Beijing 100875,China

DOI:10.3974/geodb.2024.11.04.V1

Published:Nov. 2024

Visitors:210       Data Files Downloaded:4      
Data Downloaded:7.37 MB      Citations:

Key Words:

land system,CLUMondo,carbon storage assessment,Sichuan

Abstract:

The authors utilized the CLUMondo model to predict land system changes and estimated the carbon storage in Sichuan Province in 2030 by considering land use intensity and ecological-economic trade-offs. The dataset includes: (1) raster data of land system in Sichuan Province for the years 2010, 2020, and predicted raster data of land system data in 2030 under nine scenarios; (2) estimated carbon storage of Sichuan Province in 2030 under nine scenarios; (3) carbon density. The spatial resolution of the land system raster data is 1 km. The dataset is archived in .tif and .xlsx data formats, and consists of 18 data files with data size of 51.4 MB (Compressed into one file with 1.84 MB). The analysis paper based on the dataset was published in Acta Ecologica Sinica, Vol. 44, No. 9, 2024.

Foundation Item:

National Natural Science Foundation of China (42230106, 42271418); State Key Laboratory of Earth Surface Processes and Resource Ecology (2022-ZD-04, 2023-WT-02)

Data Citation:

GAO Yifan, SONG Changqing, HUANG Jiarui, WANG Yuanhui, YE Sijing, GAO Peichao*. Predicting Land-Ecological-Economic System and Carbon Storage Dataset of Sichuan Province of China in 2030[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.11.04.V1.

References:


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Data Product:

ID Data Name Data Size Operation
1 LandSystem&CarbonStorage.rar 1887.40KB
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