Explainable machine learning for modeling of net ecosystem exchange in boreal forests
<p>There is a growing interest in applying machine learning methods to predict net ecosystem exchange (NEE) based on site information and climatic variables. We apply four machine learning models (cubist, random forest, averaged neural networks, and linear regression) to predict the NEE of bor...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Copernicus Publications
2025-01-01
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| Series: | Biogeosciences |
| Online Access: | https://bg.copernicus.org/articles/22/257/2025/bg-22-257-2025.pdf |
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