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Article

Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins

by
Philip Winstanley
1,
Ricardo Dalagnol
1,2,3,4,*,
Sneha Mendiratta
1,
Daniel Braga
5,
Lênio Soares Galvão
5 and
Polyanna da Conceição Bispo
1
1
Department of Geography, School of Environment Education and Development, University of Manchester, Manchester M13 9PL, UK
2
Center for Tropical Research, Institute of the Environment and Sustainability, University of California, Los Angeles–UCLA, Los Angeles, CA 90095, USA
3
NASA-Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA 91109, USA
4
CTrees, Pasadena, CA 91105, USA
5
Earth Observation and Geoinformatics Division, National Institute for Space Research-INPE, São José dos Campos 12227-010, Brazil
*
Author to whom correspondence should be addressed.
Remote Sens. 2024, 16(13), 2319; https://doi.org/10.3390/rs16132319
Submission received: 24 April 2024 / Revised: 4 June 2024 / Accepted: 21 June 2024 / Published: 25 June 2024
(This article belongs to the Special Issue New Methods and Applications in Remote Sensing of Tropical Forests)

Abstract

Gaps are openings within tropical forest canopies created by natural or anthropogenic disturbances. Important aspects of gap dynamics that are not well understood include how gaps close over time and their potential for contagiousness, indicating whether the presence of gaps may or may not induce the creation of new gaps. This is especially important when we consider disturbances from selective logging activities in rainforests, which take away large trees of high commercial value and leave behind a forest full of gaps. The goal of this study was to quantify and understand how gaps open and close over time within tropical rainforests using a time series of airborne LiDAR data, attributing observed processes to gap types and origins. For this purpose, the Jamari National Forest located in the Brazilian Amazon was chosen as the study area because of the unique availability of multi-temporal small-footprint airborne LiDAR data covering the time period of 2011–2017 with five data acquisitions, alongside the geolocation of trees that were felled by selective logging activities. We found an increased likelihood of natural new gaps opening closer to pre-existing gaps associated with felled tree locations (<20 m distance) rather than farther away from them, suggesting that small-scale disturbances caused by logging, even at a low intensity, may cause a legacy effect of increased mortality over six years after logging due to gap contagiousness. Moreover, gaps were closed at similar annual rates by vertical and lateral ingrowth (16.7% yr−1) and about 90% of the original gap area was closed at six years post-disturbance. Therefore, the relative contribution of lateral and vertical growth for gap closure was similar when consolidated over time. We highlight that aboveground biomass or carbon density of logged forests can be overestimated if considering only top of the canopy height metrics due to fast lateral ingrowth of neighboring trees, especially in the first two years of regeneration where 26% of gaps were closed solely by lateral ingrowth, which would not translate to 26% of regeneration of forest biomass. Trees inside gaps grew 2.2 times faster (1.5 m yr−1) than trees at the surrounding non-gap canopy (0.7 m yr−1). Our study brings new insights into the processes of both the opening and closure of forest gaps within tropical forests and the importance of considering gap types and origins in this analysis. Moreover, it demonstrates the capability of airborne LiDAR multi-temporal data in effectively characterizing the impacts of forest degradation and subsequent recovery.
Keywords: tropical forests; gap dynamics; logging; attribution; airborne LiDAR tropical forests; gap dynamics; logging; attribution; airborne LiDAR

Share and Cite

MDPI and ACS Style

Winstanley, P.; Dalagnol, R.; Mendiratta, S.; Braga, D.; Galvão, L.S.; Bispo, P.d.C. Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins. Remote Sens. 2024, 16, 2319. https://doi.org/10.3390/rs16132319

AMA Style

Winstanley P, Dalagnol R, Mendiratta S, Braga D, Galvão LS, Bispo PdC. Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins. Remote Sensing. 2024; 16(13):2319. https://doi.org/10.3390/rs16132319

Chicago/Turabian Style

Winstanley, Philip, Ricardo Dalagnol, Sneha Mendiratta, Daniel Braga, Lênio Soares Galvão, and Polyanna da Conceição Bispo. 2024. "Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins" Remote Sensing 16, no. 13: 2319. https://doi.org/10.3390/rs16132319

APA Style

Winstanley, P., Dalagnol, R., Mendiratta, S., Braga, D., Galvão, L. S., & Bispo, P. d. C. (2024). Post-Logging Canopy Gap Dynamics and Forest Regeneration Assessed Using Airborne LiDAR Time Series in the Brazilian Amazon with Attribution to Gap Types and Origins. Remote Sensing, 16(13), 2319. https://doi.org/10.3390/rs16132319

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