Integrating PLUS and InVEST model to project carbon dynamics in China’s yellow river basin under multi-scenarios (1980–2100)
Predicting future land-use patterns and carbon storage is essential for understanding regional terrestrial ecosystems, as regional land-use change plays a crucial role in ecosystem carbon storage variations. Using the Patch-generating Land Use Simulation Model (PLUS), we simulated the 2020 land-use types in the Yellow River Basin (YRB) based on the 2010 data. Subsequently, we predicted YRB land-use types for 2030 to 2100. Finally, based on these simulated land-use patterns, we calculated the carbon storage in the YRB from 1980 to 2100 using the InVEST model. The results showed that: (1) From 1980 to 2020, the InVEST model showed that carbon storage in the Yellow River Basin (YRB) exhibited an increasing trend of 12.10%. Rapid carbon storage increases can be observed in 2000–2020 (16.9 million tons). The largest carbon storage was found in Grassland (2487.24 million tons), which accounts for 51.03% of the total carbon storage in YRB. (2) During 2030 to 2100, the grassland area showed a decrease trend in SSP1-2.6 (−12.22%). The forest area showed an increase trend in SSP1-2.6 (3.49%). (3) Among the different scenarios, SSP1-2.6 (103.99 million tons) and current scenarios (23.07 million tons) showed the largest carbon storage gains from 2030 to 2100, primarily attributed to the cultivated land and forest, despite a major loss from grassland. SSP2-4.5 showed a carbon storage loss of 23.48 million tons, while a slight gain of 6.49 million tons was observed under SSP5-8.5. (4) Carbon storage losses were primarily observed in the grassland-dominated northern regions of the YRB. In contrast, the southernmost and eastern regions showed an increasing trend. This research provides essential scientific support for optimizing land-use structure and enhancing land management strategies across the YRB basin.
Authors
- Jianping Wu (ORCID: https://orcid.org/0000-0002-5784-834X)
- Baowei Qian
- Songjia Chen
- Guangxing Ji (ORCID: https://orcid.org/0000-0001-6845-2247)
- Zhongbing Chang (ORCID: https://orcid.org/0000-0003-1470-6939)
- Jie Li (ORCID: https://orcid.org/0000-0002-2773-6806)
- Shuo Zhang (ORCID: https://orcid.org/0000-0002-2170-4299)
- Jun Jiang (ORCID: https://orcid.org/0000-0002-6116-5605)
- Jiaming Wang (ORCID: https://orcid.org/0000-0002-4570-3434)
- Xin Xiong (ORCID: https://orcid.org/0000-0002-6250-6686)
Institutions
- Guangdong Academy of Sciences (CN)
- Institute of Forestry (RS)
- Nanyang Normal University (CN)
- South China Botanical Garden (CN)
- Lushan Botanical Garden (CN)
- Nanjing Surveying and Mapping Research Institute (China) (CN)
- Guangzhou Institute of Geography (CN)
- Henan Agricultural University (CN)
Publication Details
- Journal
- Frontiers in Earth Science
- Published
- 2025-11-17
- DOI
- https://doi.org/10.3389/feart.2025.1684333
- Citations
- 2
- Primary Topic
- Land Use and Ecosystem Services
- Type
- article
- Field-Weighted Citation Impact
- 2.21