PreprintAll rights reservedbioRxiv
Simplifying complexity: the reliability of lidar-derived forest structural complexity metrics for conservation management
- 1Univeristy of Cambridge
Related
- Inferring structural complexity from dynamical measures
- Beyond the uniform: uncovering structural complexity within Adélie penguin colonies
- Restoring structural complexity in temperate forests increases bat and bird diversity
- Leaf economic strategy and stand structural complexity are associated with net woody productivity in a subtropical mixed forest
- Rapid loss, and slow recovery, of coral reef structural complexity resulting from a prolonged marine heatwave
BibTeX
@misc{kent2026simplifying,
title = {{Simplifying complexity: the reliability of lidar-derived forest structural complexity metrics for conservation management}},
author = {E. Kent and W. R. M. Flynn and P. R. Gullet and D. Coomes and E. R. Lines},
howpublished = {bioRxiv},
year = {2026},
month = oct,
doi = {10.64898/2026.10.23.760726},
url = {https://www.biorxiv.org/content/10.64898/2026.10.23.760726v1},
}
RIS
TY - UNPB
TI - Simplifying complexity: the reliability of lidar-derived forest structural complexity metrics for conservation management
AU - E. Kent
AU - W. R. M. Flynn
AU - P. R. Gullet
AU - D. Coomes
AU - E. R. Lines
PY - 2026
DA - 2026/10/23
PB - bioRxiv
DO - 10.64898/2026.10.23.760726
UR - https://www.biorxiv.org/content/10.64898/2026.10.23.760726v1
ER -