Comparing Two Novel <scp>LiDAR</scp> ‐Based Indices for Quantifying Forest Structural Complexity

in interpretability, precision, or speed, and its proposed advantage in capturing higher complexity remains unsubstantiated. Despite their conceptual distinctions, their strong correlation suggests competitive rather than complementary roles. Future research should explore biome-specific variability and physiological links to ecosystem functions to refine their utility in forest management under climate change.

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Publication Details

Journal
Ecology and Evolution
Published
2026-05-01
DOI
https://doi.org/10.1002/ece3.73605
Primary Topic
Remote Sensing and LiDAR Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Comparing Two Novel LiDAR ‐Based Indices for Quantifying Forest Structural Complexity

Tillman Reuter, Dominik Seidel, Sebastian Seidel
Ecology and Evolution
Remote Sensing and LiDAR Applications
article

Comparing Two Novel LiDAR ‐Based Indices for Quantifying Forest Structural Complexity

Tillman Reuter, Dominik Seidel, Sebastian Seidel
article en

Abstract

in interpretability, precision, or speed, and its proposed advantage in capturing higher complexity remains unsubstantiated. Despite their conceptual distinctions, their strong correlation suggests competitive rather than complementary roles. Future research should explore biome-specific variability and physiological links to ecosystem functions to refine their utility in forest management under climate change.

Ecology and EvolutionVol. 16(5)
Institute of Forest Ecology of the Slovak Academy of Sciences (SK), Nordwestdeutsche Forstliche Versuchsanstalt (DE), University of Göttingen (DE)
Climate action
Openalex Percentile: Top 12%
Remote Sensing and LiDAR Applications
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