Prediction of the CO2 emission across grassland and cropland using tower-based eddy covariance flux measurements: a machine learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Management, Monitoring, Policy and Law,Economics and Econometrics,Geography, Planning and Development
Link
https://link.springer.com/content/pdf/10.1007/s10668-022-02276-9.pdf
Reference30 articles.
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3. Banerjee, S. (2021). Addressing the carbon emissions embodied in India’s bilateral trade with two eminent Annex-II parties: with input–output and spatial decomposition analysis, Environment, development and sustainability. Springer. https://doi.org/10.1007/s10668-020-00824-9
4. Bjarnadottir, B., et al. (2021). Carbon and water balance of an afforested shallow drained peatland in Iceland. Forest Ecology and Management, 482, 118861. https://doi.org/10.1016/j.foreco.2020.118861
5. Cai, J., et al. (2020). Prediction and analysis of net ecosystem carbon exchange based on gradient boosting regression and random forest. Applied Energy, 262(January), 114566. https://doi.org/10.1016/j.apenergy.2020.114566
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