Articles | Volume 15, issue 12
https://doi.org/10.5194/bg-15-3811-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-15-3811-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
22 Jun 2018
Research article |
| 22 Jun 2018
| 22 Jun 2018
Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning
Tommaso Jucker
Forest Ecology and Conservation group, Department of Plant Sciences,
University of Cambridge, Cambridge CB2 3EA, UK
CSIRO Land and Water, 147 Underwood Avenue, Floreat, 6014, Western
Australia, Australia
Gregory P. Asner
Department of Global Ecology, Carnegie Institution for Science, 260
Panama Street, Stanford, CA 94305, USA
Michele Dalponte
Department of Sustainable Agro-ecosystems and Bioresources, Research
and Innovation Centre, Fondazione E. Mach, Via E. Mach 1, 38010 San Michele
all'Adige, Italy
Philip G. Brodrick
Department of Global Ecology, Carnegie Institution for Science, 260
Panama Street, Stanford, CA 94305, USA
Christopher D. Philipson
Department of Environmental Systems Science, ETH Zürich,
Universitätstrasse 16, 8092 Zürich, Switzerland
Centre for Environmental Change and Human Resilience, University of
Dundee, Dundee DD1 4HN, UK
Nicholas R. Vaughn
Department of Global Ecology, Carnegie Institution for Science, 260
Panama Street, Stanford, CA 94305, USA
Yit Arn Teh
School of Biological Sciences, University of Aberdeen, Cruickshank
Building, St Machar Drive, Aberdeen AB24 3UU, UK
Craig Brelsford
Department of Biosciences, Viikki Plant Science Center (ViPS),
University of Helsinki, 00014 Helsinki, Finland
David F. R. P. Burslem
School of Biological Sciences, University of Aberdeen, Cruickshank
Building, St Machar Drive, Aberdeen AB24 3UU, UK
Nicolas J. Deere
Durrell Institute of Conservation and Ecology (DICE), School of
Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK
Robert M. Ewers
Imperial College London, Silwood Park Campus, Buckhusrt Road, Ascot
SL5 7PY, UK
Jakub Kvasnica
Faculty of Forestry and Wood Technology, Department of Forest Botany,
Dendrology and Geobiocoenology, Mendel University, Brno, Czech Republic
Simon L. Lewis
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Department of Geography, University College London, London WC1E 6BT,
UK
Yadvinder Malhi
Environmental Change Institute, School of Geography and the
Environment, University of Oxford, Oxford OX1 3QY, UK
Sol Milne
School of Biological Sciences, University of Aberdeen, Cruickshank
Building, St Machar Drive, Aberdeen AB24 3UU, UK
Reuben Nilus
Forest Research Centre, Sabah Forestry Department, P.O. Box 1407,
90715 Sandakan, Sabah, Malaysia
Marion Pfeifer
School of Biology, Newcastle University, Newcastle NE1 7RU, UK
Oliver L. Phillips
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Lan Qie
Imperial College London, Silwood Park Campus, Buckhusrt Road, Ascot
SL5 7PY, UK
School of Geography, University of Leeds, Leeds LS2 9JT, UK
Nathan Renneboog
Permian Global, Savoy Hill House, 7-10 Savoy Hill, London WC2R 0BU,
UK
Glen Reynolds
South East Asia Rainforest Research Partnership (SEARRP), Danum
Valley Field Centre, P.O. Box 60282, 91112 Lahad Datu, Sabah, Malaysia
Terhi Riutta
Imperial College London, Silwood Park Campus, Buckhusrt Road, Ascot
SL5 7PY, UK
Environmental Change Institute, School of Geography and the
Environment, University of Oxford, Oxford OX1 3QY, UK
Matthew J. Struebig
Durrell Institute of Conservation and Ecology (DICE), School of
Anthropology and Conservation, University of Kent, Canterbury CT2 7NR, UK
Martin Svátek
Faculty of Forestry and Wood Technology, Department of Forest Botany,
Dendrology and Geobiocoenology, Mendel University, Brno, Czech Republic
Edgar C. Turner
Department of Zoology, University of Cambridge, Downing Street,
Cambridge CB2 3EJ, UK
Forest Ecology and Conservation group, Department of Plant Sciences,
University of Cambridge, Cambridge CB2 3EA, UK
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Cited
43 citations as recorded by crossref.
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- Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them M. Réjou-Méchain et al. 10.1007/s10712-019-09532-0
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- Active restoration accelerates the carbon recovery of human-modified tropical forests C. Philipson et al. 10.1126/science.aay4490
- Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015–16 El Niño L. Beese et al. 10.1016/j.jag.2022.103117
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- Ignoring variation in wood density drives substantial bias in biomass estimates across spatial scales J. Sæbø et al. 10.1088/1748-9326/ac62ae
- Topography shapes the structure, composition and function of tropical forest landscapes T. Jucker et al. 10.1111/ele.12964
- Transferability of ALS-Derived Forest Resource Inventory Attributes Between an Eastern and Western Canadian Boreal Forest Mixedwood Site K. van Ewijk et al. 10.1080/07038992.2020.1769470
41 citations as recorded by crossref.
- A critique of general allometry-inspired models for estimating forest carbon density from airborne LiDAR R. Spriggs et al. 10.1371/journal.pone.0215238
- Differential nutrient limitation and tree height control leaf physiology, supporting niche partitioning in tropical dipterocarp forests D. Bartholomew et al. 10.1111/1365-2435.14094
- Upscaling Forest Biomass from Field to Satellite Measurements: Sources of Errors and Ways to Reduce Them M. Réjou-Méchain et al. 10.1007/s10712-019-09532-0
- Carbon declines along tropical forest edges correspond to heterogeneous effects on canopy structure and function E. Ordway & G. Asner 10.1073/pnas.1914420117
- Active restoration accelerates the carbon recovery of human-modified tropical forests C. Philipson et al. 10.1126/science.aay4490
- Using repeat airborne LiDAR to map the growth of individual oil palms in Malaysian Borneo during the 2015–16 El Niño L. Beese et al. 10.1016/j.jag.2022.103117
- Above ground carbon stock mapping over Coimbatore and Nilgiris Biosphere: a key source to the C sink M. Hari et al. 10.1080/17583004.2021.1962979
- Improving rural health care reduces illegal logging and conserves carbon in a tropical forest I. Jones et al. 10.1073/pnas.2009240117
- Evaluating the potential of full‐waveform lidar for mapping pan‐tropical tree species richness S. Marselis et al. 10.1111/geb.13158
- The mechanical stability of the world’s tallest broadleaf trees T. Jackson et al. 10.1111/btp.12850
- Forest aboveground biomass stock and resilience in a tropical landscape of Thailand N. Jha et al. 10.5194/bg-17-121-2020
- Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests T. Jucker 10.1111/nph.17729
- Enhancing the ecological value of oil palm agriculture through set-asides J. Bicknell et al. 10.1038/s41893-022-01049-6
- Use of Drone RGB Imagery to Quantify Indicator Variables of Tropical-Forest-Ecosystem Degradation and Restoration K. Lee et al. 10.3390/f14030586
- To What Extent Can UAV Photogrammetry Replicate UAV LiDAR to Determine Forest Structure? A Test in Two Contrasting Tropical Forests I. McNicol et al. 10.1029/2021JG006586
- Shifts in structural diversity of Amazonian forest edges detected using terrestrial laser scanning E. Maeda et al. 10.1016/j.rse.2022.112895
- Resilience of Spanish forests to recent droughts and climate change S. Khoury & D. Coomes 10.1111/gcb.15268
- Resilience of tropical invertebrate community assembly processes to a gradient of land use intensity N. Granville et al. 10.1111/oik.10328
- Dynamics of a human‐modified tropical peat swamp forest revealed by repeat lidar surveys B. Wedeux et al. 10.1111/gcb.15108
- A Conceptual Model for Detecting Small-Scale Forest Disturbances Based on Ecosystem Morphological Traits J. Stoddart et al. 10.3390/rs14040933
- Characterizing forest carbon dynamics using multi-temporal lidar data M. Dalponte et al. 10.1016/j.rse.2019.02.018
- Mapping tropical forest functional variation at satellite remote sensing resolutions depends on key traits E. Ordway et al. 10.1038/s43247-022-00564-w
- Logging leaves a fingerprint on the number, size, spatial configuration and geometry of tropical forest canopy gaps B. Zhang et al. 10.1111/btp.13190
- Recovery of logged forest fragments in a human-modified tropical landscape during the 2015-16 El Niño M. Nunes et al. 10.1038/s41467-020-20811-y
- Species Matter: Wood Density Influences Tropical Forest Biomass at Multiple Scales O. Phillips et al. 10.1007/s10712-019-09540-0
- Densities of Bornean orang‐utans (Pongo pygmaeus morio) in heavily degraded forest and oil palm plantations in Sabah, Borneo D. Seaman et al. 10.1002/ajp.23030
- Using multi-platform LiDAR to guide the conservation of the world's largest temperate woodland T. Jucker et al. 10.1016/j.rse.2023.113745
- Chronic Winds Reduce Tropical Forest Structural Complexity Regardless of Climate, Topography, or Forest Age R. Ankori-Karlinsky et al. 10.1007/s10021-024-00900-5
- An approach to the assessment of carbon reservesin KHMAO-Yugra using carbon maps A. Bredihin 10.18822/byusu202201118-133
- Riparian buffers can help mitigate biodiversity declines in oil palm agriculture N. Deere et al. 10.1002/fee.2473
- Does heterogeneity in regenerating secondary forests affect mean throughfall? N. Keller et al. 10.1016/j.jhydrol.2023.130083
- Biodiversity consequences of long-term active forest restoration in selectively-logged tropical rainforests N. Keller et al. 10.1016/j.foreco.2023.121414
- Spatial Data Are Key to Sustainability Standards Increasing and Demonstrating Their Impact C. Tayleur & B. Phalan 10.1177/1940082918797856
- Soil Carbon Dynamics Under Different Ecosystems of Ooty Region in the Western Ghats Biodiversity Hotspot of India M. Jagadesh et al. 10.1007/s42729-023-01129-2
- Prediction of stem diameter and biomass at individual tree crown level with advanced machine learning techniques S. Malek et al. 10.3832/ifor2980-012
- Quantifying tropical forest disturbances using canopy structural traits derived from terrestrial laser scanning E. Ghizoni Santos et al. 10.1016/j.foreco.2022.120546
- Estimating above-ground biomass of individual trees with terrestrial laser scanner and 3D quantitative structure modelling T. Muumbe et al. 10.2989/20702620.2020.1818535
- Quantifying Tropical Forest Disturbances Using Canopy Structural Traits Derived from Terrestrial Laser Scanning E. Santos et al. 10.2139/ssrn.4145312
- Drivers of Bornean Orangutan Distribution across a Multiple-Use Tropical Landscape S. Milne et al. 10.3390/rs13030458
- Canopy structure and topography jointly constrain the microclimate of human‐modified tropical landscapes T. Jucker et al. 10.1111/gcb.14415
- Ignoring variation in wood density drives substantial bias in biomass estimates across spatial scales J. Sæbø et al. 10.1088/1748-9326/ac62ae
2 citations as recorded by crossref.
- Topography shapes the structure, composition and function of tropical forest landscapes T. Jucker et al. 10.1111/ele.12964
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Latest update: 19 Apr 2024
Short summary
Efforts to protect tropical forests hinge on recognizing the ecosystem services they provide, including their ability to store carbon. Airborne laser scanning (ALS) captures information on the 3-D structure of forests, allowing carbon stocks to be mapped. By combining ALS with data from 173 field plots on the island of Borneo, we develop a simple yet general model for estimating forest carbon stocks from the air. Our model underpins ongoing efforts to restore Borneo's unique tropical forests.
Efforts to protect tropical forests hinge on recognizing the ecosystem services they provide,...
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