摘要
In the past decades, China has undergone dramatic land use/land cover (LULC) changes. Such changes are expected to continue and profoundly affect our environment. To navigate future uncertainties toward sustainability, increasing efforts have been invested in projecting China’s future LULC following the Shared Socioeconomic Pathways (SSPs) and/or Representative Concentration Pathways (RCPs). To supplements existing datasets with a high spatial resolution, comprehensive pathway coverage, and delicate account for urban land change, here we present a 1-km gridded LULC dataset for China under 24 comprehensive SSP-RCP scenarios covering 2020–2100 at 10-year intervals. Our approach is to integrate the Global Change Analysis Model (GCAM) and Future Land Use Simulation (FLUS) model. This dataset shows good performance compared to remotely sensed CCI-LC data and is generally spatio-temporally consistent with the Land Use Harmonization version-2 dataset. This new dataset (available at https://doi.org/10.6084/m9.figshare.14776128.v1) provides a valuable alternative for multi-scenario-based research with high spatial resolution, such as earth system modeling, ecosystem services, and carbon neutrality.
| 源语言 | 英语 |
|---|---|
| 文章编号 | 110 |
| 期刊 | Scientific Data |
| 卷 | 9 |
| 期 | 1 |
| DOI | |
| 出版状态 | 已出版 - 12月 2022 |
联合国可持续发展目标
此成果有助于实现下列可持续发展目标:
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可持续发展目标 13 气候行动
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可持续发展目标 15 陆地生物
指纹
探究 '1 km land use/land cover change of China under comprehensive socioeconomic and climate scenarios for 2020–2100' 的科研主题。它们共同构成独一无二的指纹。引用此
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