Articles | Volume 15, issue 11
https://doi.org/10.5194/bg-15-3377-2018
© 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-15-3377-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
08 Jun 2018
Research article |
| 08 Jun 2018
| 08 Jun 2018
Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes
Victoria Meyer
CORRESPONDING AUTHOR
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Laboratoire Evolution et Diversité Biologique UMR 5174, CNRS Université Paul Sabatier, Toulouse, France
Sassan Saatchi
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
David B. Clark
Department of Biology, University of Missouri, St. Louis, MO, USA
Michael Keller
USDA Forest Service, International Institute of Tropical Forestry, San Juan, Puerto Rico
EMBRAPA Acre, Rio Branco, Brazil
Grégoire Vincent
IRD, UMR AMAP, Montpellier 34000, France
António Ferraz
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Fernando Espírito-Santo
School of Geography, Geology and the Environment, University of Leicester, Leicester LE1 7RH, UK
Marcus V. N. d'Oliveira
EMBRAPA Acre, Rio Branco, Brazil
Dahlia Kaki
Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, USA
Jérôme Chave
Laboratoire Evolution et Diversité Biologique UMR 5174, CNRS Université Paul Sabatier, Toulouse, France
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Cited
35 citations as recorded by crossref.
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- Effect of assisted natural regeneration on forest biomass and carbon stocks in the Living Mountain Lab (LML), Lalitpur, Nepal N. Joshi et al. 10.1016/j.envc.2024.100858
- Exploring Tropical Forests With GEDI and 3-D SAR Tomography Y. Ngo et al. 10.1109/LGRS.2023.3298142
- The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation F. Banda et al. 10.3390/rs12060985
- Residents’ Willingness to Pay for Forest Ecosystem Services Based on Forest Ownership Classification in South Korea Y. Son et al. 10.3390/f15030551
- Modelos de biomasa aérea y subterránea de Hevea brasilienses y Theobroma grandiflorum en la Amazonía colombiana H. Andrade et al. 10.14483/2256201X.18464
- Mapping Canopy Heights in Dense Tropical Forests Using Low-Cost UAV-Derived Photogrammetric Point Clouds and Machine Learning Approaches H. Zhang et al. 10.3390/rs13183777
- Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence M. d'Oliveira et al. 10.1016/j.foreco.2021.119648
- Old growth Afrotropical forests critical for maintaining forest carbon J. Poulsen et al. 10.1111/geb.13150
- AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV) V. González-Jaramillo et al. 10.3390/rs11121413
- Diversity, distribution and dynamics of large trees across an old-growth lowland tropical rain forest landscape D. Clark et al. 10.1371/journal.pone.0224896
- Forest degradation and biomass loss along the Chocó region of Colombia V. Meyer et al. 10.1186/s13021-019-0117-9
- Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data F. Banda et al. 10.3390/rs12020240
- Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil M. d’Oliveira et al. 10.3390/rs12111754
- Carbon storage potential in degraded forests of Kalimantan, Indonesia A. Ferraz et al. 10.1088/1748-9326/aad782
- Pantropical variability in tree crown allometry G. Loubota Panzou et al. 10.1111/geb.13231
- Carbon storages and sequestration potentials in remnant forests of different patch sizes in northern Ethiopia: an implication for climate change mitigation M. Muluneh & B. Worku 10.1186/s40066-022-00395-0
- Seeing the wood for the trees: Carbon storage and conservation in temperate forests of the Himalayas I. Måren & L. Sharma 10.1016/j.foreco.2021.119010
- Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests T. Jucker 10.1111/nph.17729
- The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space S. Quegan et al. 10.1016/j.rse.2019.03.032
- Interferometric Ground Cancellation for Above Ground Biomass Estimation M. Mariotti d'Alessandro et al. 10.1109/TGRS.2020.2976854
- UAV-based canopy textures assess changes in forest structure from long-term degradation C. Bourgoin et al. 10.1016/j.ecolind.2020.106386
- High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. 10.5194/bg-20-3803-2023
- What controls local-scale aboveground biomass variation in central Africa? Testing structural, composition and architectural attributes G. Loubota Panzou et al. 10.1016/j.foreco.2018.07.056
- Structure metrics to generalize biomass estimation from lidar across forest types from different continents N. Knapp et al. 10.1016/j.rse.2019.111597
- Mapping tropical forest aboveground biomass using airborne SAR tomography N. Ramachandran et al. 10.1038/s41598-023-33311-y
- Effect of Forest Management on Carbon Stock of Tropical Moist Afromontane Forest D. Daba et al. 10.1155/2022/3691638
- Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning T. Jucker et al. 10.5194/bg-15-3811-2018
- Tropical tree size–frequency distributions from airborne lidar A. Ferraz et al. 10.1002/eap.2154
- Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission L. Duncanson et al. 10.1016/j.rse.2021.112845
- Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning B. Brede et al. 10.1016/j.rse.2022.113180
- Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests L. Terryn et al. 10.1016/j.rse.2022.112912
- Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana A. Lau et al. 10.3390/f10060527
- The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests S. Tebaldini et al. 10.1007/s10712-019-09539-7
- Savanna vegetation structure in the Brazilian Cerrado allows for the accurate estimation of aboveground biomass using terrestrial laser scanning B. Zimbres et al. 10.1016/j.foreco.2019.117798
32 citations as recorded by crossref.
- Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests M. Aubry-Kientz et al. 10.1109/JSTARS.2021.3069159
- Effect of assisted natural regeneration on forest biomass and carbon stocks in the Living Mountain Lab (LML), Lalitpur, Nepal N. Joshi et al. 10.1016/j.envc.2024.100858
- Exploring Tropical Forests With GEDI and 3-D SAR Tomography Y. Ngo et al. 10.1109/LGRS.2023.3298142
- The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation F. Banda et al. 10.3390/rs12060985
- Residents’ Willingness to Pay for Forest Ecosystem Services Based on Forest Ownership Classification in South Korea Y. Son et al. 10.3390/f15030551
- Modelos de biomasa aérea y subterránea de Hevea brasilienses y Theobroma grandiflorum en la Amazonía colombiana H. Andrade et al. 10.14483/2256201X.18464
- Mapping Canopy Heights in Dense Tropical Forests Using Low-Cost UAV-Derived Photogrammetric Point Clouds and Machine Learning Approaches H. Zhang et al. 10.3390/rs13183777
- Impacts of selective logging on Amazon forest canopy structure and biomass with a LiDAR and photogrammetric survey sequence M. d'Oliveira et al. 10.1016/j.foreco.2021.119648
- Old growth Afrotropical forests critical for maintaining forest carbon J. Poulsen et al. 10.1111/geb.13150
- AGB Estimation in a Tropical Mountain Forest (TMF) by Means of RGB and Multispectral Images Using an Unmanned Aerial Vehicle (UAV) V. González-Jaramillo et al. 10.3390/rs11121413
- Diversity, distribution and dynamics of large trees across an old-growth lowland tropical rain forest landscape D. Clark et al. 10.1371/journal.pone.0224896
- Forest degradation and biomass loss along the Chocó region of Colombia V. Meyer et al. 10.1186/s13021-019-0117-9
- Ground and Volume Decomposition as a Proxy for AGB from P-Band SAR Data F. Banda et al. 10.3390/rs12020240
- Aboveground Biomass Estimation in Amazonian Tropical Forests: a Comparison of Aircraft- and GatorEye UAV-borne LiDAR Data in the Chico Mendes Extractive Reserve in Acre, Brazil M. d’Oliveira et al. 10.3390/rs12111754
- Carbon storage potential in degraded forests of Kalimantan, Indonesia A. Ferraz et al. 10.1088/1748-9326/aad782
- Pantropical variability in tree crown allometry G. Loubota Panzou et al. 10.1111/geb.13231
- Carbon storages and sequestration potentials in remnant forests of different patch sizes in northern Ethiopia: an implication for climate change mitigation M. Muluneh & B. Worku 10.1186/s40066-022-00395-0
- Seeing the wood for the trees: Carbon storage and conservation in temperate forests of the Himalayas I. Måren & L. Sharma 10.1016/j.foreco.2021.119010
- Deciphering the fingerprint of disturbance on the three‐dimensional structure of the world’s forests T. Jucker 10.1111/nph.17729
- The European Space Agency BIOMASS mission: Measuring forest above-ground biomass from space S. Quegan et al. 10.1016/j.rse.2019.03.032
- Interferometric Ground Cancellation for Above Ground Biomass Estimation M. Mariotti d'Alessandro et al. 10.1109/TGRS.2020.2976854
- UAV-based canopy textures assess changes in forest structure from long-term degradation C. Bourgoin et al. 10.1016/j.ecolind.2020.106386
- High-resolution data reveal a surge of biomass loss from temperate and Atlantic pine forests, contextualizing the 2022 fire season distinctiveness in France L. Vallet et al. 10.5194/bg-20-3803-2023
- What controls local-scale aboveground biomass variation in central Africa? Testing structural, composition and architectural attributes G. Loubota Panzou et al. 10.1016/j.foreco.2018.07.056
- Structure metrics to generalize biomass estimation from lidar across forest types from different continents N. Knapp et al. 10.1016/j.rse.2019.111597
- Mapping tropical forest aboveground biomass using airborne SAR tomography N. Ramachandran et al. 10.1038/s41598-023-33311-y
- Effect of Forest Management on Carbon Stock of Tropical Moist Afromontane Forest D. Daba et al. 10.1155/2022/3691638
- Estimating aboveground carbon density and its uncertainty in Borneo's structurally complex tropical forests using airborne laser scanning T. Jucker et al. 10.5194/bg-15-3811-2018
- Tropical tree size–frequency distributions from airborne lidar A. Ferraz et al. 10.1002/eap.2154
- Aboveground biomass density models for NASA’s Global Ecosystem Dynamics Investigation (GEDI) lidar mission L. Duncanson et al. 10.1016/j.rse.2021.112845
- Non-destructive estimation of individual tree biomass: Allometric models, terrestrial and UAV laser scanning B. Brede et al. 10.1016/j.rse.2022.113180
- Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests L. Terryn et al. 10.1016/j.rse.2022.112912
3 citations as recorded by crossref.
- Tree Biomass Equations from Terrestrial LiDAR: A Case Study in Guyana A. Lau et al. 10.3390/f10060527
- The Status of Technologies to Measure Forest Biomass and Structural Properties: State of the Art in SAR Tomography of Tropical Forests S. Tebaldini et al. 10.1007/s10712-019-09539-7
- Savanna vegetation structure in the Brazilian Cerrado allows for the accurate estimation of aboveground biomass using terrestrial laser scanning B. Zimbres et al. 10.1016/j.foreco.2019.117798
Latest update: 22 Apr 2024
Short summary
This study shows how a simple lidar-derived metric measuring the area covered by large trees (> 27 m) can explain biomass variations across the Neotropics. The importance of this metric is in its relevance to the structural and ecological characteristics of large trees and their unique contribution in determining the biomass of forests. Our results point toward simplified ground data collection and potential algorithms for future space missions focusing on biomass estimation.
This study shows how a simple lidar-derived metric measuring the area covered by large trees...
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