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The Invisible Hand of Carbon Dioxide on Forest Productivity

A statistically robust approach applied to long-term flux measurements quantifies forest ecosystem response to increasing atmospheric carbon dioxide, providing a valuable benchmark for climate models.

Failing to do so can lead to large inaccuracies in how these models track the fate of future fossil fuel emissions and the response of climate and organisms. While we can naturally observe how forest gross primarily productivity (GPP) responds over the past decades, what is more difficult is teasing out the competing factors of land management, nitrogen deposition, changing climates, and increasing atmospheric carbon dioxide on it. Zhan et al. [2024] leverage the global eddy covariance flux tower network and develop a robust data-driven approach to isolate the carbon dioxide effect on GPP.

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