TY - JOUR
T1 - Fire in a Central Amazon forest: Lingering top canopy loss and initial understory regrowth revealed by repeated LiDAR
AU - Pontes-Lopes, Aline
AU - Stark, Scott C.
AU - Smith, Marielle
AU - Almeida, Danilo R. A.
AU - Shao, Gang
AU - Sato, Luciane
AU - Rincón, Nancy
AU - Martins, Giordane A.
AU - Goncalves, Nathan
AU - Ometto, Jean PHB
AU - Graça, Paulo
AU - Aragao, Luiz E.O.C.
PY - 2025/11/20
Y1 - 2025/11/20
N2 - Understory fires in wet tropical forests impact trees across the size spectrum. However, the size specificity of these impacts—and whether they cascade through canopy structural changes to alter regeneration dynamics—remains poorly understood. We hypothesized that the demographic effects of understory fire, typically assessed through field surveys, produce distinct signals in three-dimensional canopy structure detectable from LiDAR point clouds, with significant consequences for forest regeneration. We analyzed leaf area vertical distributions and top-of-canopy heights across 980.6 ha of forests in the Central Amazon, surveyed by airborne LiDAR 2.5 and 3.5 years after fire. Overall, compared to unburned forests in both years, burned forests displayed lower leaf area density in the understory, lower-, and mid-canopy; with lower and more heterogeneous top-of-canopy heights. Burned forest top-of-canopy height profiles were bimodal, while unburned forest showed unimodal distributions. During the one-year interval between LiDAR surveys, total leaf area in fire-affected forests remained stable in magnitude but was reorganized, showing significant temporal shifts: increased leaf area density in the lower canopy (<13 m), reduced mid-canopy density (15–25 m), decreased upper canopy height, and loss of carbon density. Canopy damage was further characterized by expanding canopy gaps and new clusters of height loss associated with branch and whole-tree mortality. Together, our results reveal initial incipient recovery occurring simultaneously with delayed large-tree mortality—patterns undetected in prior field studies due to sample scale limitations—highlighting pervasive fire impacts that may increase rainforest sensitivity to climate change.
AB - Understory fires in wet tropical forests impact trees across the size spectrum. However, the size specificity of these impacts—and whether they cascade through canopy structural changes to alter regeneration dynamics—remains poorly understood. We hypothesized that the demographic effects of understory fire, typically assessed through field surveys, produce distinct signals in three-dimensional canopy structure detectable from LiDAR point clouds, with significant consequences for forest regeneration. We analyzed leaf area vertical distributions and top-of-canopy heights across 980.6 ha of forests in the Central Amazon, surveyed by airborne LiDAR 2.5 and 3.5 years after fire. Overall, compared to unburned forests in both years, burned forests displayed lower leaf area density in the understory, lower-, and mid-canopy; with lower and more heterogeneous top-of-canopy heights. Burned forest top-of-canopy height profiles were bimodal, while unburned forest showed unimodal distributions. During the one-year interval between LiDAR surveys, total leaf area in fire-affected forests remained stable in magnitude but was reorganized, showing significant temporal shifts: increased leaf area density in the lower canopy (<13 m), reduced mid-canopy density (15–25 m), decreased upper canopy height, and loss of carbon density. Canopy damage was further characterized by expanding canopy gaps and new clusters of height loss associated with branch and whole-tree mortality. Together, our results reveal initial incipient recovery occurring simultaneously with delayed large-tree mortality—patterns undetected in prior field studies due to sample scale limitations—highlighting pervasive fire impacts that may increase rainforest sensitivity to climate change.
U2 - 10.1016/j.foreco.2025.123332
DO - 10.1016/j.foreco.2025.123332
M3 - Article
SN - 0378-1127
VL - 601
JO - Forest Ecology and Management
JF - Forest Ecology and Management
M1 - 123332
ER -