2026-10-14T20:51:18Z https://www.scidb.cn/oai

10.57760/sciencedb.ecodb.00331 2026-06-28T17:59:48Z

2026-06-28 High Spatiotemporal Resolution (8-Day, 500 m) Net Ecosystem CO₂ Exchange (NEE) Dataset for the Three-North Shelterbelt Engineering Region of China (2001–2023) doi:10.57760/sciencedb.ecodb.00331 en This dataset provides net ecosystem CO₂ exchange (NEE) products for the Three-North Shelterbelt Engineering Region (TNSER) of China from 2001 to 2023 at a spatial resolution of 500 m and a temporal resolution of 8 days, together with the corresponding annual NEE products. The dataset was generated using a random forest model trained with observations from 43 eddy covariance flux towers and integrated with multi-source data, including MODIS remote sensing products, climate data, and terrain data. By incorporating ecological types and their process characteristics, the model effectively improves the representation of carbon exchange processes across different ecosystems and enhances its spatial generalization capability. Model evaluation demonstrated high simulation accuracy, with a coefficient of determination (R²) of 0.86 and a root mean square error (RMSE) of 0.84 g C m⁻² d⁻¹ for the validation dataset. Leave-one-site-out cross-validation further yielded a correlation coefficient (r) of 0.79, an RMSE of 1.37 g C m⁻² d⁻¹, and a mean bias error (MBE) of 0.08. These results indicate that the dataset can reliably capture the spatiotemporal dynamics of NEE across the TNSER. The dataset can be used for regional carbon cycle studies, evaluation of carbon sequestration benefits from ecological engineering projects, terrestrial ecosystem carbon budget assessments, and related climate change research. net ecosystem CO₂ exchange; Three-North Shelterbelt Engineering Region ; ecological process characteristics Zhou Guangsheng li xiao peng Ren Hongrui Zhou Li Zhou Mengzi PUBLIC https://creativecommons.org/licenses/by/4.0/ dataset Science Data Bank