Terrestrial Carbon Storage Estimation in Guangdong Province (2000–2021)
(1) Terrestrial ecosystems are critical carbon sinks, and the accurate assessment of their carbon storage is vital for understanding global carbon cycles and formulating climate change mitigation strategies. (2) This study integrated vegetation indices, meteorological factors, land use data, soil/vegetation types, field sampling, and a convolutional neural network (CNN) model to estimate the carbon storage of terrestrial ecosystems in Guangdong Province. (3) Total carbon storage increased by 0.11 Pg from 2000 to 2021, with vegetation carbon gains (+0.19 Pg) offsetting soil carbon losses (−0.08 Pg), with the latter primarily being driven by reduced soil carbon in forest ecosystems. (4) Northern and eastern Guangdong exhibit high potential for enhancing carbon storage capacity, which is crucial for achieving regional carbon peaking and neutrality targets.
Authors
- Wei Wang (ORCID: https://orcid.org/0000-0002-1675-1445)
- Xiaoyun Mao (ORCID: https://orcid.org/0000-0003-1422-8498)
- Yueming Hu (ORCID: https://orcid.org/0000-0003-2174-5987)
- Ying Zhang (ORCID: https://orcid.org/0009-0007-0657-7598)
- Lili Tang (ORCID: https://orcid.org/0000-0002-6294-116X)
- Junxing Cai
Institutions
- South China Agricultural University (CN)
- Tangshan College (CN)
- Hainan University (CN)
- Shaoguan University (CN)
- Guangdong Research Institute of Water Resources and Hydropower (CN)
Publication Details
- Journal
- Data
- Published
- 2025-03-25
- DOI
- https://doi.org/10.3390/data10040041
- Primary Topic
- Atmospheric and Environmental Gas Dynamics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Key Research and Development Program of China