Articles | Volume 16, issue 17
https://doi.org/10.5194/bg-16-3457-2019
© Author(s) 2019. 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-16-3457-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Estimation of coarse dead wood stocks in intact and degraded forests in the Brazilian Amazon using airborne lidar
Marcos A. S. Scaranello
CORRESPONDING AUTHOR
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
Michael Keller
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
International Institute of Tropical Forestry, USDA Forest Service,
Río Piedras, 00926-1119, Puerto Rico
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Marcos Longo
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
Jet Propulsion Laboratory, California Institute of Technology,
Pasadena, CA 91109, USA
Maiza N. dos-Santos
Embrapa Informática Agropecuária, Embrapa, Campinas,
13083-886, Brazil
Veronika Leitold
NASA Goddard Space Flight Center, NASA, Greenbelt, MD 20771, USA
Douglas C. Morton
NASA Goddard Space Flight Center, NASA, Greenbelt, MD 20771, USA
Ekena R. Pinagé
School of Life Sciences, University of Technology Sydney, Sydney,
2007, Australia
College of Forestry, Oregon State University, Corvallis, OR 97331, USA
Fernando Del Bon Espírito-Santo
Leicester Institute of Space and Earth Observation, Centre for Landscape and Climate Research, School of Geography, Geology and Environment, University of Leicester, University Road, Leicester LE1 7RH, UK
Faculdade de Filosofia, Ciências e Letras de Ribeirão Preto,
Universidade de São Paulo, Ribeirão Preto, 14040-900, Brazil
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Cited
9 citations as recorded by crossref.
- Tracking the Rates and Mechanisms of Canopy Damage and Recovery Following Hurricane Maria Using Multitemporal Lidar Data V. Leitold et al. 10.1007/s10021-021-00688-8
- Coarse woody debris dynamics in a secondary Atlantic Forest fragment in Brazil P. Villanova et al. 10.1139/cjfr-2023-0186
- Standardizing Ecosystem Morphological Traits from 3D Information Sources R. Valbuena et al. 10.1016/j.tree.2020.03.006
- Predicting downed woody material carbon stocks in forests of the conterminous United States J. Smith et al. 10.1016/j.scitotenv.2021.150061
- An individual tree-based model for estimating regional and temporal carbon storage of Abies chensiensis forest ecosystem in the Qinling Mountains, China S. Wanlong et al. 10.1016/j.ecolmodel.2023.110305
- Physical and chemical properties of Coarse Woody Debris submitted to the natural process of decomposition in a Secondary Atlantic Forest Fragment in Brazil P. Villanova et al. 10.1038/s41598-023-34526-9
- Forest structure and solar-induced fluorescence across intact and degraded forests in the Amazon E. Rangel Pinagé et al. 10.1016/j.rse.2022.112998
- Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data M. da Costa et al. 10.1016/j.foreco.2021.119155
- Assessing the potential of remote sensing-based models to predict old-growth forests on large spatiotemporal scales E. Lalechère et al. 10.1016/j.jenvman.2023.119865
9 citations as recorded by crossref.
- Tracking the Rates and Mechanisms of Canopy Damage and Recovery Following Hurricane Maria Using Multitemporal Lidar Data V. Leitold et al. 10.1007/s10021-021-00688-8
- Coarse woody debris dynamics in a secondary Atlantic Forest fragment in Brazil P. Villanova et al. 10.1139/cjfr-2023-0186
- Standardizing Ecosystem Morphological Traits from 3D Information Sources R. Valbuena et al. 10.1016/j.tree.2020.03.006
- Predicting downed woody material carbon stocks in forests of the conterminous United States J. Smith et al. 10.1016/j.scitotenv.2021.150061
- An individual tree-based model for estimating regional and temporal carbon storage of Abies chensiensis forest ecosystem in the Qinling Mountains, China S. Wanlong et al. 10.1016/j.ecolmodel.2023.110305
- Physical and chemical properties of Coarse Woody Debris submitted to the natural process of decomposition in a Secondary Atlantic Forest Fragment in Brazil P. Villanova et al. 10.1038/s41598-023-34526-9
- Forest structure and solar-induced fluorescence across intact and degraded forests in the Amazon E. Rangel Pinagé et al. 10.1016/j.rse.2022.112998
- Beyond trees: Mapping total aboveground biomass density in the Brazilian savanna using high-density UAV-lidar data M. da Costa et al. 10.1016/j.foreco.2021.119155
- Assessing the potential of remote sensing-based models to predict old-growth forests on large spatiotemporal scales E. Lalechère et al. 10.1016/j.jenvman.2023.119865
Latest update: 19 Nov 2024
Short summary
The coarse dead wood component of the tropical forest carbon pool is rarely measured. For the first time, we developed models for predicting coarse dead wood in Amazonian forests by using airborne laser scanning data. Our models produced site-based estimates similar to independent field estimates found in the literature. Our study provides an approach for estimating coarse dead wood pools from remotely sensed data and mapping those pools over large scales in intact and degraded forests.
The coarse dead wood component of the tropical forest carbon pool is rarely measured. For the...
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