Articles | Volume 12, issue 22
https://doi.org/10.5194/bg-12-6707-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
https://doi.org/10.5194/bg-12-6707-2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
25 Nov 2015
Research article |
| 25 Nov 2015
Landscape-scale changes in forest canopy structure across a partially logged tropical peat swamp
B. M. M. Wedeux
Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK
Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge CB2 3EA, UK
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Cited
15 citations as recorded by crossref.
- A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits J. Stoddart et al. https://doi.org/10.3390/rs14040933
- Using machine learning algorithms to predict groundwater levels in Indonesian tropical peatlands I. Hikouei et al. https://doi.org/10.1016/j.scitotenv.2022.159701
- Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning C. Reis et al. https://doi.org/10.3390/f12121724
- Remote sensing of selective logging in tropical forests: current state and future directions C. Jackson & E. Adam https://doi.org/10.3832/ifor3301-013
- Structural Recovery of Logged Forests in the Solomon Islands: Implications for Conservation and Management E. Katovai et al. https://doi.org/10.1177/19400829211028125
- Logging leaves a fingerprint on the number, size, spatial configuration and geometry of tropical forest canopy gaps B. Zhang et al. https://doi.org/10.1111/btp.13190
- Indicators for monitoring reduced impact logging in the Brazilian amazon derived from airborne laser scanning technology Q. Barros et al. https://doi.org/10.1016/j.ecoinf.2024.102654
- Dynamics of a human‐modified tropical peat swamp forest revealed by repeat lidar surveys B. Wedeux et al. https://doi.org/10.1111/gcb.15108
- Effects of distance from canal and degradation history on peat bulk density in a degraded tropical peatland A. Sinclair et al. https://doi.org/10.1016/j.scitotenv.2019.134199
- Wavelet Based Analysis of TanDEM-X and LiDAR DEMs across a Tropical Vegetation Heterogeneity Gradient Driven by Fire Disturbance in Indonesia E. De Grandi et al. https://doi.org/10.3390/rs8080641
- Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR E. Rangel Pinagé et al. https://doi.org/10.3390/rs11060709
- DISTRIBUTION OF TREE VEGETATION TYPES AS BIOINDICATORS FOR LAND CONSERVATION IN SULTAN SYARIF HASYIM FOREST PARK, RIAU . SUWONDO et al. https://doi.org/10.36868/IJCS.2025.02.19
- Characterizing the vertical variability of canopy structure from space: Implications for biodiversity, productivity, and ecosystem functioning T. Satapathy & D. Dutta https://doi.org/10.1016/j.agrformet.2025.110710
- Can we set a global threshold age to define mature forests? P. Martin et al. https://doi.org/10.7717/peerj.1595
- Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests T. Jucker https://doi.org/10.1111/nph.17729
15 citations as recorded by crossref.
- A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits J. Stoddart et al. https://doi.org/10.3390/rs14040933
- Using machine learning algorithms to predict groundwater levels in Indonesian tropical peatlands I. Hikouei et al. https://doi.org/10.1016/j.scitotenv.2022.159701
- Qualifying the Information Detected from Airborne Laser Scanning to Support Tropical Forest Management Operational Planning C. Reis et al. https://doi.org/10.3390/f12121724
- Remote sensing of selective logging in tropical forests: current state and future directions C. Jackson & E. Adam https://doi.org/10.3832/ifor3301-013
- Structural Recovery of Logged Forests in the Solomon Islands: Implications for Conservation and Management E. Katovai et al. https://doi.org/10.1177/19400829211028125
- Logging leaves a fingerprint on the number, size, spatial configuration and geometry of tropical forest canopy gaps B. Zhang et al. https://doi.org/10.1111/btp.13190
- Indicators for monitoring reduced impact logging in the Brazilian amazon derived from airborne laser scanning technology Q. Barros et al. https://doi.org/10.1016/j.ecoinf.2024.102654
- Dynamics of a human‐modified tropical peat swamp forest revealed by repeat lidar surveys B. Wedeux et al. https://doi.org/10.1111/gcb.15108
- Effects of distance from canal and degradation history on peat bulk density in a degraded tropical peatland A. Sinclair et al. https://doi.org/10.1016/j.scitotenv.2019.134199
- Wavelet Based Analysis of TanDEM-X and LiDAR DEMs across a Tropical Vegetation Heterogeneity Gradient Driven by Fire Disturbance in Indonesia E. De Grandi et al. https://doi.org/10.3390/rs8080641
- Long-Term Impacts of Selective Logging on Amazon Forest Dynamics from Multi-Temporal Airborne LiDAR E. Rangel Pinagé et al. https://doi.org/10.3390/rs11060709
- DISTRIBUTION OF TREE VEGETATION TYPES AS BIOINDICATORS FOR LAND CONSERVATION IN SULTAN SYARIF HASYIM FOREST PARK, RIAU . SUWONDO et al. https://doi.org/10.36868/IJCS.2025.02.19
- Characterizing the vertical variability of canopy structure from space: Implications for biodiversity, productivity, and ecosystem functioning T. Satapathy & D. Dutta https://doi.org/10.1016/j.agrformet.2025.110710
- Can we set a global threshold age to define mature forests? P. Martin et al. https://doi.org/10.7717/peerj.1595
- Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests T. Jucker https://doi.org/10.1111/nph.17729
Saved (final revised paper)
Latest update: 09 Jun 2026
Short summary
Canopy height and gaps of tropical peat swamp forests, measured by airborne laser scanning, were influenced by an interplay of environmental factors and selective logging. Structural recovery after logging depended strongly on peat depth and the landscape-scale relationship between forest height and canopy gap structure was lost in selectively logged forests. Results suggest slowest recovery on deep waterlogged and infertile peat, which is of relevance to management and conservation activities.
Canopy height and gaps of tropical peat swamp forests, measured by airborne laser scanning, were...
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