Research article
08 Jun 2018
Research article
| 08 Jun 2018
Canopy area of large trees explains aboveground biomass variations across neotropical forest landscapes
Victoria Meyer et al.
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Total article views: 2,352 (including HTML, PDF, and XML)
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Total article views: 673 (including HTML, PDF, and XML)
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Cited
26 citations as recorded by crossref.
- 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
- Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests M. Aubry-Kientz et al. 10.1109/JSTARS.2021.3069159
- 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
- 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
- The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation F. Banda et al. 10.3390/rs12060985
- 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
- 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
- Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests L. Terryn et al. 10.1016/j.rse.2022.112912
- 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
- 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
23 citations as recorded by crossref.
- 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
- Multisensor Data Fusion for Improved Segmentation of Individual Tree Crowns in Dense Tropical Forests M. Aubry-Kientz et al. 10.1109/JSTARS.2021.3069159
- 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
- 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
- The BIOMASS Level 2 Prototype Processor: Design and Experimental Results of Above-Ground Biomass Estimation F. Banda et al. 10.3390/rs12060985
- 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
- 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
- Quantifying tropical forest structure through terrestrial and UAV laser scanning fusion in Australian rainforests L. Terryn et al. 10.1016/j.rse.2022.112912
- 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
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: 02 Feb 2023
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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