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Canopy structure–biomass coupling strengthens with age under stage-dependent environmental controls during China's forest recovery

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  • Corresponding author: guo.qinghua@pku.edu.cn
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    1. Stand age significantly strengthens the coupling of canopy structural complexity and biomass density.

      Early-established structural fingerprints provide stable, biome-specific benchmarks for recovery.

      Forest structure recovery drivers shift dynamically from temperature, to soil, and precipitation.

  • Forest restoration is a critical nature-based solution, yet our understanding of its structural development often relies on static, universal assumptions. This study challenges that paradigm by revealing the dynamic, context-dependent principles of forest recovery. By integrating multisource remote sensing data over China’s 30-year period of natural forest regeneration, we find that the positive coupling between canopy structural complexity and aboveground biomass strengthens significantly with stand age. We found that distinct forest biomes exhibit unique structural fingerprints that are established early and persist through early restoration. Crucially, these recovery pathways are characterized by a predictable shift in dominant environmental drivers: from initial filtering mainly by temperature to mid-stage limitation by soil resources, and finally to regulation by precipitation in more mature stands. This work presents a dynamic framework for establishing biome-specific restoration targets and developing adaptive management strategies to increase global ecosystem resilience.
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  • Cite this article:

    Cheng K., Chen A., Zhang Y., et al. (2026). Canopy structure–biomass coupling strengthens with age under stage-dependent environmental controls during China's forest recovery. The Innovation Geoscience 4:100228. https://doi.org/10.59717/j.xinn-geo.2026.100228
    Cheng K., Chen A., Zhang Y., et al. (2026). Canopy structure–biomass coupling strengthens with age under stage-dependent environmental controls during China's forest recovery. The Innovation Geoscience 4:100228. https://doi.org/10.59717/j.xinn-geo.2026.100228

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