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Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates

Dalagnol, Ricardo ; Wagner, Fabien H. ; Galvão, Lênio S. ; Streher, Annia S. ; Phillips, Oliver L. ; Gloor, Emanuel ; Pugh, Thomas A.M. LU ; Ometto, Jean P.H.B. and Aragão, Luiz E.O.C. (2021) In Scientific Reports 11(1).
Abstract

We report large-scale estimates of Amazonian gap dynamics using a novel approach with large datasets of airborne light detection and ranging (lidar), including five multi-temporal and 610 single-date lidar datasets. Specifically, we (1) compared the fixed height and relative height methods for gap delineation and established a relationship between static and dynamic gaps (newly created gaps); (2) explored potential environmental/climate drivers explaining gap occurrence using generalized linear models; and (3) cross-related our findings to mortality estimates from 181 field plots. Our findings suggest that static gaps are significantly correlated to dynamic gaps and can inform about structural changes in the forest canopy. Moreover, the... (More)

We report large-scale estimates of Amazonian gap dynamics using a novel approach with large datasets of airborne light detection and ranging (lidar), including five multi-temporal and 610 single-date lidar datasets. Specifically, we (1) compared the fixed height and relative height methods for gap delineation and established a relationship between static and dynamic gaps (newly created gaps); (2) explored potential environmental/climate drivers explaining gap occurrence using generalized linear models; and (3) cross-related our findings to mortality estimates from 181 field plots. Our findings suggest that static gaps are significantly correlated to dynamic gaps and can inform about structural changes in the forest canopy. Moreover, the relative height outperformed the fixed height method for gap delineation. Well-defined and consistent spatial patterns of dynamic gaps were found over the Amazon, while also revealing the dynamics of areas never sampled in the field. The predominant pattern indicates 20-35% higher gap dynamics at the west and southeast than at the central-east and north. These estimates were notably consistent with field mortality patterns, but they showed 60% lower magnitude likely due to the predominant detection of the broken/uprooted mode of death. While topographic predictors did not explain gap occurrence, the water deficit, soil fertility, forest flooding and degradation were key drivers of gap variability at the regional scale. These findings highlight the importance of lidar in providing opportunities for large-scale gap dynamics and tree mortality monitoring over the Amazon.

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author
; ; ; ; ; ; ; and
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Reports
volume
11
issue
1
article number
1388
publisher
Nature Publishing Group
external identifiers
  • pmid:33446809
  • scopus:85099458577
  • pmid:33446809
ISSN
2045-2322
DOI
10.1038/s41598-020-80809-w
language
English
LU publication?
no
id
19d0f831-c7cf-4194-8dcf-6ae581b3b87f
date added to LUP
2021-01-19 10:40:16
date last changed
2022-06-14 17:31:44
@article{19d0f831-c7cf-4194-8dcf-6ae581b3b87f,
  abstract     = {{<p>We report large-scale estimates of Amazonian gap dynamics using a novel approach with large datasets of airborne light detection and ranging (lidar), including five multi-temporal and 610 single-date lidar datasets. Specifically, we (1) compared the fixed height and relative height methods for gap delineation and established a relationship between static and dynamic gaps (newly created gaps); (2) explored potential environmental/climate drivers explaining gap occurrence using generalized linear models; and (3) cross-related our findings to mortality estimates from 181 field plots. Our findings suggest that static gaps are significantly correlated to dynamic gaps and can inform about structural changes in the forest canopy. Moreover, the relative height outperformed the fixed height method for gap delineation. Well-defined and consistent spatial patterns of dynamic gaps were found over the Amazon, while also revealing the dynamics of areas never sampled in the field. The predominant pattern indicates 20-35% higher gap dynamics at the west and southeast than at the central-east and north. These estimates were notably consistent with field mortality patterns, but they showed 60% lower magnitude likely due to the predominant detection of the broken/uprooted mode of death. While topographic predictors did not explain gap occurrence, the water deficit, soil fertility, forest flooding and degradation were key drivers of gap variability at the regional scale. These findings highlight the importance of lidar in providing opportunities for large-scale gap dynamics and tree mortality monitoring over the Amazon.</p>}},
  author       = {{Dalagnol, Ricardo and Wagner, Fabien H. and Galvão, Lênio S. and Streher, Annia S. and Phillips, Oliver L. and Gloor, Emanuel and Pugh, Thomas A.M. and Ometto, Jean P.H.B. and Aragão, Luiz E.O.C.}},
  issn         = {{2045-2322}},
  language     = {{eng}},
  month        = {{01}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Reports}},
  title        = {{Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates}},
  url          = {{http://dx.doi.org/10.1038/s41598-020-80809-w}},
  doi          = {{10.1038/s41598-020-80809-w}},
  volume       = {{11}},
  year         = {{2021}},
}