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Associations between climate extremes indicators and changes in subjective well-being in China
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DOI：10.1016/j.jenvp.2026.103133.png)
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Abstract
En 中文
• Examined 32 features derived from 16 climate extreme indicators in relation to changes in subjective well-being in China. • A longer growing season was associated with a decline in happiness over time in multilevel models. • Change in daily temperature range was the most important climate feature in random forest models. • Nonlinear analyses revealed additional climate-related patterns beyond multilevel models.
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