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Characterizing the structural complexity of the Earth’s forests with spaceborne lidar

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  • Tiago Conto

    (7251 Preinkert Drive)

  • John Armston

    (7251 Preinkert Drive)

  • Ralph Dubayah

    (7251 Preinkert Drive)

Abstract

Forest structural complexity is a key element of ecosystem functioning, impacting light environments, nutrient cycling, biodiversity, and habitat quality. Addressing the need for a comprehensive global assessment of actual forest structural complexity, we derive a near-global map of 3D canopy complexity using data from the GEDI spaceborne lidar mission. These data show that tropical forests harbor most of the high complexity observations, while less than 20% of temperate forests reached median levels of tropical complexity. Structural complexity in tropical forests is more strongly related to canopy attributes from lower and middle waveform layers, whereas in temperate forests upper and middle layers are more influential. Globally, forests exhibit robust scaling relationships between complexity and canopy height, but these vary geographically and by biome. Our results offer insights into the spatial distribution of forest structural complexity and emphasize the importance of considering biome-specific and fine-scale variations for ecological research and management applications. The GEDI Waveform Structural Complexity Index data product, derived from our analyses, provides researchers and conservationists with a single, easily interpretable metric by combining various aspects of canopy structure.

Suggested Citation

  • Tiago Conto & John Armston & Ralph Dubayah, 2024. "Characterizing the structural complexity of the Earth’s forests with spaceborne lidar," Nature Communications, Nature, vol. 15(1), pages 1-15, December.
    • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-52468-2
    DOI: 10.1038/s41467-024-52468-2
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