Windthrows control biomass patterns and functional composition of Amazon forests

Detalhes bibliográficos
Autor(a) principal: Marra, Daniel Magnabosco
Data de Publicação: 2018
Outros Autores: Trumbore, Susan Elizabeth, Higuchi, Niro, Ribeiro, Gabriel Henrique Pires de Mello, Negrón-Juárez, Robinson I., Holzwarth, Frédéric M., Rifai, Sami Walid, Santos, Joaquim dos, Lima, Adriano José Nogueira, Kinupp, Valdely Ferreira, Chambers, Jeffrey Quintin, Wirth, Christian B.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional do INPA
Texto Completo: https://repositorio.inpa.gov.br/handle/1/15324
Resumo: Amazon forests account for ~25% of global land biomass and tropical tree species. In these forests, windthrows (i.e., snapped and uprooted trees) are a major natural disturbance, but the rates and mechanisms of recovery are not known. To provide a predictive framework for understanding the effects of windthrows on forest structure and functional composition (DBH ≥10 cm), we quantified biomass recovery as a function of windthrow severity (i.e., fraction of windthrow tree mortality on Landsat pixels, ranging from 0%–70%) and time since disturbance for terra-firme forests in the Central Amazon. Forest monitoring allowed insights into the processes and mechanisms driving the net biomass change (i.e., increment minus loss) and shifts in functional composition. Windthrown areas recovering for between 4–27 years had biomass stocks as low as 65.2–91.7 Mg/ha or 23%–38% of those in nearby undisturbed forests (~255.6 Mg/ha, all sites). Even low windthrow severities (4%–20% tree mortality) caused decadal changes in biomass stocks and structure. While rates of biomass increment in recovering vegetation were nearly double (6.3 ± 1.4 Mg ha− 1 year− 1) those of undisturbed forests (~3.7 Mg ha− 1 year− 1), biomass loss due to post-windthrow mortality was high (up to −7.5 ± 8.7 Mg ha− 1 year− 1, 8.5 years since disturbance) and unpredictable. Consequently, recovery to 90% of “pre-disturbance” biomass takes up to 40 years. Resprouting trees contributed little to biomass recovery. Instead, light-demanding, low-density genera (e.g., Cecropia, Inga, Miconia, Pourouma, Tachigali, and Tapirira) were favored, resulting in substantial post-windthrow species turnover. Shifts in functional composition demonstrate that windthrows affect the resilience of live tree biomass by favoring soft-wooded species with shorter life spans that are more vulnerable to future disturbances. As the time required for forests to recover biomass is likely similar to the recurrence interval of windthrows triggering succession, windthrows have the potential to control landscape biomass/carbon dynamics and functional composition in Amazon forests. ©2018 The Authors. Global Change Biology Published by John Wiley & Sons Ltd
id INPA-2_2f787bd73e2ee41fb9cfe328c79a4a46
oai_identifier_str oai:repositorio:1/15324
network_acronym_str INPA-2
network_name_str Repositório Institucional do INPA
repository_id_str
spelling Marra, Daniel MagnaboscoTrumbore, Susan ElizabethHiguchi, NiroRibeiro, Gabriel Henrique Pires de MelloNegrón-Juárez, Robinson I.Holzwarth, Frédéric M.Rifai, Sami WalidSantos, Joaquim dosLima, Adriano José NogueiraKinupp, Valdely FerreiraChambers, Jeffrey QuintinWirth, Christian B.2020-05-07T23:19:15Z2020-05-07T23:19:15Z2018https://repositorio.inpa.gov.br/handle/1/1532410.1111/gcb.14457Amazon forests account for ~25% of global land biomass and tropical tree species. In these forests, windthrows (i.e., snapped and uprooted trees) are a major natural disturbance, but the rates and mechanisms of recovery are not known. To provide a predictive framework for understanding the effects of windthrows on forest structure and functional composition (DBH ≥10 cm), we quantified biomass recovery as a function of windthrow severity (i.e., fraction of windthrow tree mortality on Landsat pixels, ranging from 0%–70%) and time since disturbance for terra-firme forests in the Central Amazon. Forest monitoring allowed insights into the processes and mechanisms driving the net biomass change (i.e., increment minus loss) and shifts in functional composition. Windthrown areas recovering for between 4–27 years had biomass stocks as low as 65.2–91.7 Mg/ha or 23%–38% of those in nearby undisturbed forests (~255.6 Mg/ha, all sites). Even low windthrow severities (4%–20% tree mortality) caused decadal changes in biomass stocks and structure. While rates of biomass increment in recovering vegetation were nearly double (6.3 ± 1.4 Mg ha− 1 year− 1) those of undisturbed forests (~3.7 Mg ha− 1 year− 1), biomass loss due to post-windthrow mortality was high (up to −7.5 ± 8.7 Mg ha− 1 year− 1, 8.5 years since disturbance) and unpredictable. Consequently, recovery to 90% of “pre-disturbance” biomass takes up to 40 years. Resprouting trees contributed little to biomass recovery. Instead, light-demanding, low-density genera (e.g., Cecropia, Inga, Miconia, Pourouma, Tachigali, and Tapirira) were favored, resulting in substantial post-windthrow species turnover. Shifts in functional composition demonstrate that windthrows affect the resilience of live tree biomass by favoring soft-wooded species with shorter life spans that are more vulnerable to future disturbances. As the time required for forests to recover biomass is likely similar to the recurrence interval of windthrows triggering succession, windthrows have the potential to control landscape biomass/carbon dynamics and functional composition in Amazon forests. ©2018 The Authors. Global Change Biology Published by John Wiley & Sons LtdVolume 24, Número 12, Pags. 5867-5881Attribution-NonCommercial-NoDerivs 3.0 Brazilhttp://creativecommons.org/licenses/by-nc-nd/3.0/br/info:eu-repo/semantics/openAccessBiodiversityBiogeochemical CycleBiomassForest EcosystemFunctional GroupLandsatMoralityTropical ForestAmazoniaCecropiaIngaMiconiaPouroumaTachigaliTapiriraCarbonBiomassBrasilForestTreeTropic ClimateWindBiomassBrasilCarbonForestsTreesTropical ClimateWindWindthrows control biomass patterns and functional composition of Amazon forestsinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleGlobal Change Biologyengreponame:Repositório Institucional do INPAinstname:Instituto Nacional de Pesquisas da Amazônia (INPA)instacron:INPAORIGINALartigo-inpa.pdfartigo-inpa.pdfapplication/pdf2930821https://repositorio.inpa.gov.br/bitstream/1/15324/1/artigo-inpa.pdfe24491f0df3de3940be4b42c35432905MD511/153242020-07-14 11:08:12.539oai:repositorio:1/15324Repositório de PublicaçõesPUBhttps://repositorio.inpa.gov.br/oai/requestopendoar:2020-07-14T15:08:12Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)false
dc.title.en.fl_str_mv Windthrows control biomass patterns and functional composition of Amazon forests
title Windthrows control biomass patterns and functional composition of Amazon forests
spellingShingle Windthrows control biomass patterns and functional composition of Amazon forests
Marra, Daniel Magnabosco
Biodiversity
Biogeochemical Cycle
Biomass
Forest Ecosystem
Functional Group
Landsat
Morality
Tropical Forest
Amazonia
Cecropia
Inga
Miconia
Pourouma
Tachigali
Tapirira
Carbon
Biomass
Brasil
Forest
Tree
Tropic Climate
Wind
Biomass
Brasil
Carbon
Forests
Trees
Tropical Climate
Wind
title_short Windthrows control biomass patterns and functional composition of Amazon forests
title_full Windthrows control biomass patterns and functional composition of Amazon forests
title_fullStr Windthrows control biomass patterns and functional composition of Amazon forests
title_full_unstemmed Windthrows control biomass patterns and functional composition of Amazon forests
title_sort Windthrows control biomass patterns and functional composition of Amazon forests
author Marra, Daniel Magnabosco
author_facet Marra, Daniel Magnabosco
Trumbore, Susan Elizabeth
Higuchi, Niro
Ribeiro, Gabriel Henrique Pires de Mello
Negrón-Juárez, Robinson I.
Holzwarth, Frédéric M.
Rifai, Sami Walid
Santos, Joaquim dos
Lima, Adriano José Nogueira
Kinupp, Valdely Ferreira
Chambers, Jeffrey Quintin
Wirth, Christian B.
author_role author
author2 Trumbore, Susan Elizabeth
Higuchi, Niro
Ribeiro, Gabriel Henrique Pires de Mello
Negrón-Juárez, Robinson I.
Holzwarth, Frédéric M.
Rifai, Sami Walid
Santos, Joaquim dos
Lima, Adriano José Nogueira
Kinupp, Valdely Ferreira
Chambers, Jeffrey Quintin
Wirth, Christian B.
author2_role author
author
author
author
author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Marra, Daniel Magnabosco
Trumbore, Susan Elizabeth
Higuchi, Niro
Ribeiro, Gabriel Henrique Pires de Mello
Negrón-Juárez, Robinson I.
Holzwarth, Frédéric M.
Rifai, Sami Walid
Santos, Joaquim dos
Lima, Adriano José Nogueira
Kinupp, Valdely Ferreira
Chambers, Jeffrey Quintin
Wirth, Christian B.
dc.subject.eng.fl_str_mv Biodiversity
Biogeochemical Cycle
Biomass
Forest Ecosystem
Functional Group
Landsat
Morality
Tropical Forest
Amazonia
Cecropia
Inga
Miconia
Pourouma
Tachigali
Tapirira
Carbon
Biomass
Brasil
Forest
Tree
Tropic Climate
Wind
Biomass
Brasil
Carbon
Forests
Trees
Tropical Climate
Wind
topic Biodiversity
Biogeochemical Cycle
Biomass
Forest Ecosystem
Functional Group
Landsat
Morality
Tropical Forest
Amazonia
Cecropia
Inga
Miconia
Pourouma
Tachigali
Tapirira
Carbon
Biomass
Brasil
Forest
Tree
Tropic Climate
Wind
Biomass
Brasil
Carbon
Forests
Trees
Tropical Climate
Wind
description Amazon forests account for ~25% of global land biomass and tropical tree species. In these forests, windthrows (i.e., snapped and uprooted trees) are a major natural disturbance, but the rates and mechanisms of recovery are not known. To provide a predictive framework for understanding the effects of windthrows on forest structure and functional composition (DBH ≥10 cm), we quantified biomass recovery as a function of windthrow severity (i.e., fraction of windthrow tree mortality on Landsat pixels, ranging from 0%–70%) and time since disturbance for terra-firme forests in the Central Amazon. Forest monitoring allowed insights into the processes and mechanisms driving the net biomass change (i.e., increment minus loss) and shifts in functional composition. Windthrown areas recovering for between 4–27 years had biomass stocks as low as 65.2–91.7 Mg/ha or 23%–38% of those in nearby undisturbed forests (~255.6 Mg/ha, all sites). Even low windthrow severities (4%–20% tree mortality) caused decadal changes in biomass stocks and structure. While rates of biomass increment in recovering vegetation were nearly double (6.3 ± 1.4 Mg ha− 1 year− 1) those of undisturbed forests (~3.7 Mg ha− 1 year− 1), biomass loss due to post-windthrow mortality was high (up to −7.5 ± 8.7 Mg ha− 1 year− 1, 8.5 years since disturbance) and unpredictable. Consequently, recovery to 90% of “pre-disturbance” biomass takes up to 40 years. Resprouting trees contributed little to biomass recovery. Instead, light-demanding, low-density genera (e.g., Cecropia, Inga, Miconia, Pourouma, Tachigali, and Tapirira) were favored, resulting in substantial post-windthrow species turnover. Shifts in functional composition demonstrate that windthrows affect the resilience of live tree biomass by favoring soft-wooded species with shorter life spans that are more vulnerable to future disturbances. As the time required for forests to recover biomass is likely similar to the recurrence interval of windthrows triggering succession, windthrows have the potential to control landscape biomass/carbon dynamics and functional composition in Amazon forests. ©2018 The Authors. Global Change Biology Published by John Wiley & Sons Ltd
publishDate 2018
dc.date.issued.fl_str_mv 2018
dc.date.accessioned.fl_str_mv 2020-05-07T23:19:15Z
dc.date.available.fl_str_mv 2020-05-07T23:19:15Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://repositorio.inpa.gov.br/handle/1/15324
dc.identifier.doi.none.fl_str_mv 10.1111/gcb.14457
url https://repositorio.inpa.gov.br/handle/1/15324
identifier_str_mv 10.1111/gcb.14457
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Volume 24, Número 12, Pags. 5867-5881
dc.rights.driver.fl_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution-NonCommercial-NoDerivs 3.0 Brazil
http://creativecommons.org/licenses/by-nc-nd/3.0/br/
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Global Change Biology
publisher.none.fl_str_mv Global Change Biology
dc.source.none.fl_str_mv reponame:Repositório Institucional do INPA
instname:Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron:INPA
instname_str Instituto Nacional de Pesquisas da Amazônia (INPA)
instacron_str INPA
institution INPA
reponame_str Repositório Institucional do INPA
collection Repositório Institucional do INPA
bitstream.url.fl_str_mv https://repositorio.inpa.gov.br/bitstream/1/15324/1/artigo-inpa.pdf
bitstream.checksum.fl_str_mv e24491f0df3de3940be4b42c35432905
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositório Institucional do INPA - Instituto Nacional de Pesquisas da Amazônia (INPA)
repository.mail.fl_str_mv
_version_ 1809928902374588416