Wang et al. (2025) Corrigendum to “Variability and uncertainty in net ecosystem carbon exchange modeling: Systematic estimates at global flux sites via ensemble machine learning” [Agricultural and Forest Meteorology, 374 (2025), 110784]

Identification

• Journal: Agricultural and Forest Meteorology
• Year: 2025
• Date: 2025-10-12
• Authors: Nannan Wang, Zijian Yue, Yaolin Liu, Zhaomin Tong, Yanfang Liu, Yanchi Lu, Yufeng Shi
• DOI: 10.1016/j.agrformet.2025.110879

Research Groups

• School of Resource and Environmental Sciences, Wuhan University, Hubei, PR China
• Institute of Soil & Water Conservation, State Key Lab Soil Eros & Dryland Farming Loess P, Chinese Academy of Sciences & Ministry of Water Resources, Shaanxi Province, PR China
• China University of Chinese Academy of Sciences, CAS, Beijing, PR China
• Duke Kunshan University, Jiangsu, PR China
• Spatial Planning Institute of Hubei Province, Hubei, PR China

Short Summary

This corrigendum addresses and corrects errors in citation information and acknowledgments within an earlier published article titled "Variability and uncertainty in net ecosystem carbon exchange modeling: Systematic estimates at global flux sites via ensemble machine learning."

Objective

• To correct incorrect citation information in Section 2.1.1 and corresponding acknowledgments in the original article, ensuring the accuracy of the published record.

Study Configuration

• Spatial Scale: Information not available in the corrigendum; the original article focused on global flux sites.
• Temporal Scale: Information not available in the corrigendum.

Methodology and Data

• Models used: Information not available in the corrigendum; the original article utilized ensemble machine learning.
• Data sources: FLUXNET 2015, AmeriFlux, Warm Winter 2020 Dataset from ICOS.

Main Results

• This corrigendum does not present new scientific results but corrects citation and acknowledgment details in the original article.

Contributions

• Ensuring the accuracy of published citation information and acknowledgments for the original article.

Funding

• Key Program of National Natural Science Foundation of China (Grant No. 42230107)
• Hubei Natural Resources Science and Technology Program (ZRZY2022KJ13)
• Postdoctor Project of Hubei Province (2024HBBHCXB068)
• U.S. Department of Energy Office of Science (for AmeriFlux data portal)

Citation

@article{Wang2025Corrigendum,
  author = {Wang, Nannan and Yue, Zijian and Liu, Yaolin and Liu, Yaolin and Tong, Zhaomin and Liu, Yanfang and Liu, Yanfang and Lu, Yanchi and Shi, Yufeng},
  title = {Corrigendum to “Variability and uncertainty in net ecosystem carbon exchange modeling: Systematic estimates at global flux sites via ensemble machine learning” [Agricultural and Forest Meteorology, 374 (2025), 110784]},
  journal = {Agricultural and Forest Meteorology},
  year = {2025},
  doi = {10.1016/j.agrformet.2025.110879},
  url = {https://doi.org/10.1016/j.agrformet.2025.110879}
}