1. Identity statement | |
Reference Type | Journal Article |
Site | mtc-m21c.sid.inpe.br |
Holder Code | isadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S |
Identifier | 8JMKD3MGP3W34R/443H4TB |
Repository | sid.inpe.br/mtc-m21c/2021/01.25.19.27 (restricted access) |
Last Update | 2021:01.25.19.27.27 (UTC) simone |
Metadata Repository | sid.inpe.br/mtc-m21c/2021/01.25.19.27.27 |
Metadata Last Update | 2022:04.04.04.50.19 (UTC) administrator |
DOI | 10.1038/s41598-020-80809-w |
ISSN | 2045-2322 |
Citation Key | SilvaWGSPGPOA:2021:LaVaDy |
Title | Large-scale variations in the dynamics of Amazon forest canopy gaps from airborne lidar data and opportunities for tree mortality estimates |
Year | 2021 |
Month | Dec. |
Access Date | 2024, May 02 |
Type of Work | journal article |
Secondary Type | PRE PI |
Number of Files | 1 |
Size | 4952 KiB |
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2. Context | |
Author | 1 Silva, Ricardo Dal'Agnol da 2 Wagner, Fabien Hubert 3 Galvão, Lênio Soares 4 Streher, Annia Susin 5 Phillips, Oliver L. 6 Gloor, Emanuel 7 Pugh, Thomas A. M. 8 Ometto, Jean Pierre Henry Balbaud 9 Aragão, Luiz Eduardo Oliveira e Cruz de |
Resume Identifier | 1 2 3 8JMKD3MGP5W/3C9JHLF |
Group | 1 DIOTG-CGCT-INPE-MCTI-GOV-BR 2 DIOTG-CGCT-INPE-MCTI-GOV-BR 3 DIOTG-CGCT-INPE-MCTI-GOV-BR 4 DIOTG-CGCT-INPE-MCTI-GOV-BR 5 6 7 8 DIPE3-COGPI-INPE-MCTI-GOV-BR 9 DIOTG-CGCT-INPE-MCTI-GOV-BR |
Affiliation | 1 Instituto Nacional de Pesquisas Espaciais (INPE) 2 Instituto Nacional de Pesquisas Espaciais (INPE) 3 Instituto Nacional de Pesquisas Espaciais (INPE) 4 Instituto Nacional de Pesquisas Espaciais (INPE) 5 University of Leeds 6 University of Leeds 7 University of Birmingham 8 Instituto Nacional de Pesquisas Espaciais (INPE) 9 Instituto Nacional de Pesquisas Espaciais (INPE) |
Author e-Mail Address | 1 ricds@hotmail.com 2 fabien.wagner@inpe.br 3 lenio.galvao@inpe.br 4 5 6 7 8 jean.ometto@inpe.br 9 luiz.aragao@inpe.br |
Journal | Scientific Reports |
Volume | 11 |
Number | 1 |
Pages | e1388 |
Secondary Mark | B2_BIODIVERSIDADE B3_ODONTOLOGIA B3_LETRAS_/_LINGUÍSTICA C_CIÊNCIAS_BIOLÓGICAS_III C_BIOTECNOLOGIA C_ASTRONOMIA_/_FÍSICA |
History (UTC) | 2021-01-25 19:28:59 :: simone -> administrator :: 2021 2021-06-22 19:11:12 :: administrator -> simone :: 2021 2021-06-22 20:23:18 :: simone -> administrator :: 2021 2021-07-02 02:27:08 :: administrator -> simone :: 2021 2021-12-16 19:18:20 :: simone -> administrator :: 2021 2022-04-04 04:50:19 :: administrator -> simone :: 2021 |
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3. Content and structure | |
Is the master or a copy? | is the master |
Content Stage | completed |
Transferable | 1 |
Content Type | External Contribution |
Version Type | publisher |
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 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 2035% 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. |
Area | SRE |
Arrangement 1 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Large-scale variations in... |
Arrangement 2 | urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Large-scale variations in... |
doc Directory Content | access |
source Directory Content | there are no files |
agreement Directory Content | |
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4. Conditions of access and use | |
Language | en |
Target File | dalagnol_large.pdf |
User Group | simone |
Reader Group | administrator simone |
Visibility | shown |
Read Permission | deny from all and allow from 150.163 |
Update Permission | not transferred |
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5. Allied materials | |
Next Higher Units | 8JMKD3MGPCW/46KUATE 8JMKD3MGPCW/46L2FGP |
Citing Item List | sid.inpe.br/bibdigital/2022/04.04.04.47 2 sid.inpe.br/mtc-m21/2012/07.13.14.53.28 1 |
Dissemination | WEBSCI; PORTALCAPES; SCOPUS. |
Host Collection | urlib.net/www/2017/11.22.19.04 |
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6. Notes | |
Empty Fields | alternatejournal archivingpolicy archivist callnumber copyholder copyright creatorhistory descriptionlevel e-mailaddress format isbn keywords label lineage mark mirrorrepository nextedition notes orcid parameterlist parentrepositories previousedition previouslowerunit progress project rightsholder schedulinginformation secondarydate secondarykey session shorttitle sponsor subject tertiarymark tertiarytype url |
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7. Description control | |
e-Mail (login) | simone |
update | |
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