Articles | Volume 13, issue 5
https://doi.org/10.5194/bg-13-1553-2016
© Author(s) 2016. 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-13-1553-2016
© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.
the Creative Commons Attribution 3.0 License.
Research article
| 
11 Mar 2016
Research article |
| 11 Mar 2016
Predicting biomass of hyperdiverse and structurally complex central Amazonian forests – a virtual approach using extensive field data
Daniel Magnabosco Marra
CORRESPONDING AUTHOR
AG Spezielle Botanik und Funktionelle Biodiversität,
Universität Leipzig, Germany
Biogeochemical Processes Department, Max Planck Institute
for Biogeochemistry, Jena, Germany
Laboratório de Manejo Florestal, Instituto Nacional
de Pesquisas da Amazônia, Manaus, Brazil
Niro Higuchi
Laboratório de Manejo Florestal, Instituto Nacional
de Pesquisas da Amazônia, Manaus, Brazil
Susan E. Trumbore
Biogeochemical Processes Department, Max Planck Institute
for Biogeochemistry, Jena, Germany
Gabriel H. P. M. Ribeiro
Laboratório de Manejo Florestal, Instituto Nacional
de Pesquisas da Amazônia, Manaus, Brazil
Joaquim dos Santos
Laboratório de Manejo Florestal, Instituto Nacional
de Pesquisas da Amazônia, Manaus, Brazil
Vilany M. C. Carneiro
Laboratório de Manejo Florestal, Instituto Nacional
de Pesquisas da Amazônia, Manaus, Brazil
Adriano J. N. Lima
Laboratório de Manejo Florestal, Instituto Nacional
de Pesquisas da Amazônia, Manaus, Brazil
Jeffrey Q. Chambers
Geography Department, University of California, Berkeley,
USA
Robinson I. Negrón-Juárez
Climate Sciences Department, Lawrence Berkeley National
Laboratory, Berkeley, USA
Frederic Holzwarth
AG Spezielle Botanik und Funktionelle Biodiversität,
Universität Leipzig, Germany
Björn Reu
AG Spezielle Botanik und Funktionelle Biodiversität,
Universität Leipzig, Germany
Escuela de Biología, Universidad Industrial de
Santander, Bucaramanga, Colombia
Christian Wirth
AG Spezielle Botanik und Funktionelle Biodiversität,
Universität Leipzig, Germany
German Centre for Integrative Biodiversity Research
(iDiv) Halle-Jena-Leipzig, Leipzig, Germany
Functional Biogeography Fellow Group,
Max Planck Institute for Biogeochemistry, Jena, Germany
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Cited
22 citations as recorded by crossref.
- Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon H. Cassol et al. 10.3390/rs11010059
- Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping M. Molinier et al. 10.3390/rs8100869
- Aboveground biomass and carbon of the highly diverse Atlantic Forest in Brazil: comparison of alternative individual tree modeling and prediction strategies M. Colmanetti et al. 10.1080/17583004.2018.1503040
- Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing U. Hiltner et al. 10.5194/bg-19-1891-2022
- Weighing trees with lasers: advances, challenges and opportunities M. Disney et al. 10.1098/rsfs.2017.0048
- Windthrows control biomass patterns and functional composition of Amazon forests D. Magnabosco Marra et al. 10.1111/gcb.14457
- Climate change alters the ability of neotropical forests to provide timber and sequester carbon U. Hiltner et al. 10.1016/j.foreco.2021.119166
- Estimation of above ground biomass Shorea spp (Dipterocarpaceae) using allometric models S. Latifah & M. Zahrah 10.1088/1755-1315/959/1/012029
- Hysteresis area at the canopy level during and after a drought event in the Central Amazon B. Gimenez et al. 10.1016/j.agrformet.2024.110052
- Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape N. Schwartz et al. 10.1002/eap.1576
- Integrating climate, soil and stand structure into allometric models: An approach of site-effects on tree allometry in Atlantic Forest V. Cysneiros et al. 10.1016/j.ecolind.2021.107794
- Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest A. Simonetti et al. 10.5194/bg-20-3651-2023
- Biomass Equations and Carbon Stock Estimates for the Southeastern Brazilian Atlantic Forest T. Gaui et al. 10.3390/f15091568
- Tree Climbing Techniques and Volume Equations for Eschweilera (Matá-Matá), a Hyperdominant Genus in the Amazon Forest B. Gimenez et al. 10.3390/f8050154
- Variabilidad espacial de Swietenia macrophylla en sistema agroforestal de la Amazonia brasileña L. Costa et al. 10.21829/myb.2020.2611937
- Allometric models to estimate the aboveground biomass of forest: A literature review S. Latifah et al. 10.1088/1757-899X/1122/1/012047
- Recovery of Forest Structure Following Large-Scale Windthrows in the Northwestern Amazon J. Urquiza Muñoz et al. 10.3390/f12060667
- Important role of forest disturbances in the global biomass turnover and carbon sinks T. Pugh et al. 10.1038/s41561-019-0427-2
- Logging intensity affects growth and lifespan trajectories for pioneer species in Central Amazonia D. DeArmond et al. 10.1016/j.foreco.2022.120450
- Variation of non‐structural carbohydrates across the fast–slow continuum in Amazon Forest canopy trees C. Signori‐Müller et al. 10.1111/1365-2435.13971
- Closing a gap in tropical forest biomass estimation: taking crown mass variation into account in pantropical allometries P. Ploton et al. 10.5194/bg-13-1571-2016
- Does biomass growth increase in the largest trees? Flaws, fallacies and alternative analyses D. Sheil et al. 10.1111/1365-2435.12775
20 citations as recorded by crossref.
- Retrieving Secondary Forest Aboveground Biomass from Polarimetric ALOS-2 PALSAR-2 Data in the Brazilian Amazon H. Cassol et al. 10.3390/rs11010059
- Relasphone—Mobile and Participative In Situ Forest Biomass Measurements Supporting Satellite Image Mapping M. Molinier et al. 10.3390/rs8100869
- Aboveground biomass and carbon of the highly diverse Atlantic Forest in Brazil: comparison of alternative individual tree modeling and prediction strategies M. Colmanetti et al. 10.1080/17583004.2018.1503040
- Importance of the forest state in estimating biomass losses from tropical forests: combining dynamic forest models and remote sensing U. Hiltner et al. 10.5194/bg-19-1891-2022
- Weighing trees with lasers: advances, challenges and opportunities M. Disney et al. 10.1098/rsfs.2017.0048
- Windthrows control biomass patterns and functional composition of Amazon forests D. Magnabosco Marra et al. 10.1111/gcb.14457
- Climate change alters the ability of neotropical forests to provide timber and sequester carbon U. Hiltner et al. 10.1016/j.foreco.2021.119166
- Estimation of above ground biomass Shorea spp (Dipterocarpaceae) using allometric models S. Latifah & M. Zahrah 10.1088/1755-1315/959/1/012029
- Hysteresis area at the canopy level during and after a drought event in the Central Amazon B. Gimenez et al. 10.1016/j.agrformet.2024.110052
- Fragmentation increases wind disturbance impacts on forest structure and carbon stocks in a western Amazonian landscape N. Schwartz et al. 10.1002/eap.1576
- Integrating climate, soil and stand structure into allometric models: An approach of site-effects on tree allometry in Atlantic Forest V. Cysneiros et al. 10.1016/j.ecolind.2021.107794
- Canopy gaps and associated losses of biomass – combining UAV imagery and field data in a central Amazon forest A. Simonetti et al. 10.5194/bg-20-3651-2023
- Biomass Equations and Carbon Stock Estimates for the Southeastern Brazilian Atlantic Forest T. Gaui et al. 10.3390/f15091568
- Tree Climbing Techniques and Volume Equations for Eschweilera (Matá-Matá), a Hyperdominant Genus in the Amazon Forest B. Gimenez et al. 10.3390/f8050154
- Variabilidad espacial de Swietenia macrophylla en sistema agroforestal de la Amazonia brasileña L. Costa et al. 10.21829/myb.2020.2611937
- Allometric models to estimate the aboveground biomass of forest: A literature review S. Latifah et al. 10.1088/1757-899X/1122/1/012047
- Recovery of Forest Structure Following Large-Scale Windthrows in the Northwestern Amazon J. Urquiza Muñoz et al. 10.3390/f12060667
- Important role of forest disturbances in the global biomass turnover and carbon sinks T. Pugh et al. 10.1038/s41561-019-0427-2
- Logging intensity affects growth and lifespan trajectories for pioneer species in Central Amazonia D. DeArmond et al. 10.1016/j.foreco.2022.120450
- Variation of non‐structural carbohydrates across the fast–slow continuum in Amazon Forest canopy trees C. Signori‐Müller et al. 10.1111/1365-2435.13971
2 citations as recorded by crossref.
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Short summary
Predicting biomass correctly at the landscape level in hyperdiverse and structurally complex tropical forests requires the inclusion of predictors that express inherent variations in species architecture. The model of interest should comprise the floristic composition and size-distribution variability of the target forest, implying that even generic global or pantropical biomass estimation models can lead to strong biases.
Predicting biomass correctly at the landscape level in hyperdiverse and structurally complex...
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