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August 17, 2025Earth s FutureOpen Access

Predicting the Start of the Growing Season in Boreal Forest Under High and Low Emission Scenarios

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Analysis predicts significant advancing trends in the growing season for boreal forest, indicating impacts on biodiversity.

The advancing trend in the growing season shows notable differences under varying emission scenarios.
Two machine learning models predict the growing season advance with RMSE controlled within 9 days across the study area.
Using remote sensing and bioclimatic data, this analysis forecasts changes in the growing season for boreal forests.
The findings highlight the profound implications of climate change on biodiversity and ecosystem stability in boreal forests.

Sun et al. (2025) studied this question.

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