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1. Identity statement
Reference TypeConference Paper (Conference Proceedings)
Sitemtc-m21c.sid.inpe.br
Holder Codeisadg {BR SPINPE} ibi 8JMKD3MGPCW/3DT298S
Identifier8JMKD3MGP3W34R/44HCAKE
Repositorysid.inpe.br/mtc-m21c/2021/04.20.19.59
Last Update2021:04.20.19.59.05 (UTC) simone
Metadata Repositorysid.inpe.br/mtc-m21c/2021/04.20.19.59.05
Metadata Last Update2022:04.04.04.50.33 (UTC) administrator
Secondary KeyINPE--PRE/
DOI10.5194/egusphere-egu21-11046
Citation KeySilvaWGSPGOA:2021:NeInLa
TitleMind the gap: New insights on large-scale forest dynamics over Amazonian forests from airborne lidar and canopy gap data
Year2021
Access Date2025, June 02
Secondary TypePRE CI
Number of Files1
Size278 KiB
2. Context
Author1 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 Ometto, Jean Pierre Henry Balbaud
8 Aragão, Luiz Eduardo Oliveira e Cruz de
Resume Identifier1
2
3 8JMKD3MGP5W/3C9JHLF
ORCID1 0000-0002-7151-8697
2 0000-0003-3614-8544
Group1 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
2 DIOTG-CGCT-INPE-MCTI-GOV-BR
3 DIOTG-CGCT-INPE-MCTI-GOV-BR
4 SER-SRE-DIPGR-INPE-MCTI-GOV-BR
5
6
7 DIPE3-COGPI-INPE-MCTI-GOV-BR
8 DIOTG-CGCT-INPE-MCTI-GOV-BR
Affiliation1 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 Instituto Nacional de Pesquisas Espaciais (INPE)
8 Instituto Nacional de Pesquisas Espaciais (INPE)
Author e-Mail Address1 ricds@hotmail.com
2 fabien.wagner@inpe.br
3 lenio.galvao@hotmail.com
4
5
6
7 jean.ometto@inpe.br
8 luiz.aragao@inpe.br
Conference NameEGU General Assembly
Conference LocationOnline
Date19-30 apr.
PublisherEGU
History (UTC)2021-04-20 19:59:05 :: simone -> administrator ::
2021-07-02 02:27:15 :: administrator -> simone :: 2021
2021-12-16 19:17:43 :: simone -> administrator :: 2021
2022-04-04 04:50:33 :: administrator -> simone :: 2021
3. Content and structure
Is the master or a copy?is the master
Content Stagecompleted
Transferable1
Content TypeExternal Contribution
AbstractTree mortality has been pointed out as a key factor to quantify global forests carbon stocks and turnover. While there have been recent developments on observational studies aiming at detection and attribution of tree mortality using remote sensing data in temperate forests, the spatial and temporal distribution of tropical forests mortality is still poorly understood. Tropical forests pose a challenge for mortality detection due to its rich diversity of plant species and heterogeneous canopy structure, which also leads to the occurrence of very frequent and localized mortality events rather than widespread mortality as seen in some temperate forests. Here, we report on recent developments on estimates of spatialized forest dynamics over tropical forests leveraging large datasets of airborne lidar and a newly established link between canopy gaps and canopy mortality. Using multi-temporal lidar datasets collected at five Brazilian Amazon forests with varied forest structure, we linked static gaps, i.e. holes in the forest observed at one date, to dynamic gaps, i.e. gaps that opened from one date to another. Using 610 flight lines of airborne lidar data covering an area >2,300 km² across the Brazilian Amazon, we mapped the static gaps and used them to analyze potential natural and human-induced drivers using generalized linear models. Finally, we produced estimates of annual dynamic gap rates (% yr-1) for the whole Amazon using the combination of the environmental-climate model and the static-dynamic gaps relationship. Our findings show well-defined spatial patterns of dynamic gaps over the Amazon, with 20-35% faster dynamics in the west and southeast than in the central-east and north. Higher gap fractions were more often found at southern and eastern Brazilian Amazon, bordering the deforestation arch, i.e. regions with increased human influence. Dynamic gaps showed a significant relationship with field mortality rates (R² = 0.40), but with 60% lower magnitude. In fact, what we have detected is very likely mortality with the predominant emphasis of lidar on detecting uprooted and broken mode of death. The analysis also provided new insights on the dynamics of remote areas where we have never visited before. New challenges include testing the gap-method over other sites with multi-temporal data, developing methods to detect standing dead trees, and mapping other drivers such as liana-infested forests. Merging improved regional quantification of dynamic gap estimates with vegetation modelling offers potential to explore how forest dynamics is influencing carbon stocks and turnover, and how they may evolve in the future.
AreaSRE
Arrangement 1urlib.net > BDMCI > Fonds > Produção pgr ATUAIS > SER > Mind the gap:...
Arrangement 2urlib.net > BDMCI > Fonds > Produção a partir de 2021 > CGCT > Mind the gap:...
Arrangement 3urlib.net > BDMCI > Fonds > Produção a partir de 2021 > COGPI > Mind the gap:...
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source Directory Contentthere are no files
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4. Conditions of access and use
data URLhttp://urlib.net/ibi/8JMKD3MGP3W34R/44HCAKE
zipped data URLhttp://urlib.net/zip/8JMKD3MGP3W34R/44HCAKE
Languageen
Target FileEGU21-11046-print.pdf
User Groupsimone
Reader Groupadministrator
simone
Visibilityshown
Update Permissionnot transferred
5. Allied materials
Next Higher Units8JMKD3MGPCW/3F3NU5S
8JMKD3MGPCW/46KUATE
8JMKD3MGPCW/46L2FGP
Citing Item Listsid.inpe.br/mtc-m21/2012/07.13.14.53.28 9
sid.inpe.br/bibdigital/2022/04.04.04.47 8
sid.inpe.br/bibdigital/2013/10.18.22.34 3
Host Collectionurlib.net/www/2017/11.22.19.04
6. Notes
Empty Fieldsarchivingpolicy archivist booktitle callnumber copyholder copyright creatorhistory descriptionlevel dissemination e-mailaddress edition editor format isbn issn keywords label lineage mark mirrorrepository nextedition notes numberofvolumes organization pages parameterlist parentrepositories previousedition previouslowerunit progress project publisheraddress readpermission rightsholder schedulinginformation secondarydate secondarymark serieseditor session shorttitle sponsor subject tertiarymark tertiarytype type url versiontype volume
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