Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data.
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
Texto Completo: | http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127189 https://doi.org/10.3390/rs12030430 |
Resumo: | Tropical forests hold significant amounts of carbon and play a critical role on Earth´s climate system. To date, carbon dynamics over tropical forests have been poorly assessed, especially over vast areas of the tropics that have been affected by some type of disturbance (e.g., selective logging, understory fires, and fragmentation). Understanding the multi-temporal dynamics of carbon stocks over human-modified tropical forests (HMTF) is crucial to close the carbon cycle balance in the tropics. Here, we used multi-temporal and high-spatial resolution airborne LiDAR data to quantify rates of carbon dynamics over a large patch of HMTF in eastern Amazon, Brazil. We described a robust approach to monitor changes in aboveground forest carbon stocks between 2012 and 2018. Our results showed that this particular HMTF lost 0.57 m·yr−1 in mean forest canopy height and 1.38 Mg·C·ha-1 yr-1 of forest carbon between 2012 and 2018. LiDAR-based estimates of Aboveground Carbon Density (ACD) showed progressive loss through the years, from 77.9 Mg·C·ha-1 in 2012 to 53.1 Mg·C·ha-1 in 2018, thus a decrease of 31.8%. Rates of carbon stock changes were negative for all time intervals analyzed, yielding average annual carbon loss rates of -1.34 Mg·C·ha−1·yr−1. This suggests that this HMTF is acting more as a source of carbon than a sink, having great negative implications for carbon emission scenarios in tropical forests. Although more studies of forest dynamics in HMTFs are necessary to reduce the current remaining uncertainties in the carbon cycle, our results highlight the persistent effects of carbon losses for the study area. HMTFs are likely to expand across the Amazon in the near future. The resultant carbon source conditions, directly associated with disturbances, may be essential when considering climate projections and carbon accounting methods |
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Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data.Floresta TropicalCarbonoAmazoniaTropical forests hold significant amounts of carbon and play a critical role on Earth´s climate system. To date, carbon dynamics over tropical forests have been poorly assessed, especially over vast areas of the tropics that have been affected by some type of disturbance (e.g., selective logging, understory fires, and fragmentation). Understanding the multi-temporal dynamics of carbon stocks over human-modified tropical forests (HMTF) is crucial to close the carbon cycle balance in the tropics. Here, we used multi-temporal and high-spatial resolution airborne LiDAR data to quantify rates of carbon dynamics over a large patch of HMTF in eastern Amazon, Brazil. We described a robust approach to monitor changes in aboveground forest carbon stocks between 2012 and 2018. Our results showed that this particular HMTF lost 0.57 m·yr−1 in mean forest canopy height and 1.38 Mg·C·ha-1 yr-1 of forest carbon between 2012 and 2018. LiDAR-based estimates of Aboveground Carbon Density (ACD) showed progressive loss through the years, from 77.9 Mg·C·ha-1 in 2012 to 53.1 Mg·C·ha-1 in 2018, thus a decrease of 31.8%. Rates of carbon stock changes were negative for all time intervals analyzed, yielding average annual carbon loss rates of -1.34 Mg·C·ha−1·yr−1. This suggests that this HMTF is acting more as a source of carbon than a sink, having great negative implications for carbon emission scenarios in tropical forests. Although more studies of forest dynamics in HMTFs are necessary to reduce the current remaining uncertainties in the carbon cycle, our results highlight the persistent effects of carbon losses for the study area. HMTFs are likely to expand across the Amazon in the near future. The resultant carbon source conditions, directly associated with disturbances, may be essential when considering climate projections and carbon accounting methodsYhasmin Mendes de Moura, University of Leicester; Heiko Balzter, University of Leicester; Lênio S. Galvão, INPE; Ricardo Dalagnol, INPE; Fernando Espírito-Santo, University of Leicester; Erone G. Santos, University of Helsinki; Mariano Garcia, Universidad de Alcalá; Polyanna da Conceição Bispo, University of Manchester; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Yosio E. Shimabukuro, INPE.MOURA, Y. M. deBALZTER, H.GALVÃO, L. S.DALAGNOL, R.ESPÍRITO-SANTO, F.SANTOS, E. G.GARCIA, M.BISPO, P. da C.OLIVEIRA JUNIOR, R. C. deSHIMABUKURO, Y. E.2020-12-01T09:01:28Z2020-12-01T09:01:28Z2020-11-302020info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleRemote Sensing, v. 12, n. 3, Article 430, 2020.http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127189https://doi.org/10.3390/rs12030430enginfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice)instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa)instacron:EMBRAPA2020-12-01T09:01:35Zoai:www.alice.cnptia.embrapa.br:doc/1127189Repositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestopendoar:21542020-12-01T09:01:35falseRepositório InstitucionalPUBhttps://www.alice.cnptia.embrapa.br/oai/requestcg-riaa@embrapa.bropendoar:21542020-12-01T09:01:35Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa)false |
dc.title.none.fl_str_mv |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
title |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
spellingShingle |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. MOURA, Y. M. de Floresta Tropical Carbono Amazonia |
title_short |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
title_full |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
title_fullStr |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
title_full_unstemmed |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
title_sort |
Carbon dynamics in a human-modified tropical forest: a case study using multi-temporal LiDAR Data. |
author |
MOURA, Y. M. de |
author_facet |
MOURA, Y. M. de BALZTER, H. GALVÃO, L. S. DALAGNOL, R. ESPÍRITO-SANTO, F. SANTOS, E. G. GARCIA, M. BISPO, P. da C. OLIVEIRA JUNIOR, R. C. de SHIMABUKURO, Y. E. |
author_role |
author |
author2 |
BALZTER, H. GALVÃO, L. S. DALAGNOL, R. ESPÍRITO-SANTO, F. SANTOS, E. G. GARCIA, M. BISPO, P. da C. OLIVEIRA JUNIOR, R. C. de SHIMABUKURO, Y. E. |
author2_role |
author author author author author author author author author |
dc.contributor.none.fl_str_mv |
Yhasmin Mendes de Moura, University of Leicester; Heiko Balzter, University of Leicester; Lênio S. Galvão, INPE; Ricardo Dalagnol, INPE; Fernando Espírito-Santo, University of Leicester; Erone G. Santos, University of Helsinki; Mariano Garcia, Universidad de Alcalá; Polyanna da Conceição Bispo, University of Manchester; RAIMUNDO COSME DE OLIVEIRA JUNIOR, CPATU; Yosio E. Shimabukuro, INPE. |
dc.contributor.author.fl_str_mv |
MOURA, Y. M. de BALZTER, H. GALVÃO, L. S. DALAGNOL, R. ESPÍRITO-SANTO, F. SANTOS, E. G. GARCIA, M. BISPO, P. da C. OLIVEIRA JUNIOR, R. C. de SHIMABUKURO, Y. E. |
dc.subject.por.fl_str_mv |
Floresta Tropical Carbono Amazonia |
topic |
Floresta Tropical Carbono Amazonia |
description |
Tropical forests hold significant amounts of carbon and play a critical role on Earth´s climate system. To date, carbon dynamics over tropical forests have been poorly assessed, especially over vast areas of the tropics that have been affected by some type of disturbance (e.g., selective logging, understory fires, and fragmentation). Understanding the multi-temporal dynamics of carbon stocks over human-modified tropical forests (HMTF) is crucial to close the carbon cycle balance in the tropics. Here, we used multi-temporal and high-spatial resolution airborne LiDAR data to quantify rates of carbon dynamics over a large patch of HMTF in eastern Amazon, Brazil. We described a robust approach to monitor changes in aboveground forest carbon stocks between 2012 and 2018. Our results showed that this particular HMTF lost 0.57 m·yr−1 in mean forest canopy height and 1.38 Mg·C·ha-1 yr-1 of forest carbon between 2012 and 2018. LiDAR-based estimates of Aboveground Carbon Density (ACD) showed progressive loss through the years, from 77.9 Mg·C·ha-1 in 2012 to 53.1 Mg·C·ha-1 in 2018, thus a decrease of 31.8%. Rates of carbon stock changes were negative for all time intervals analyzed, yielding average annual carbon loss rates of -1.34 Mg·C·ha−1·yr−1. This suggests that this HMTF is acting more as a source of carbon than a sink, having great negative implications for carbon emission scenarios in tropical forests. Although more studies of forest dynamics in HMTFs are necessary to reduce the current remaining uncertainties in the carbon cycle, our results highlight the persistent effects of carbon losses for the study area. HMTFs are likely to expand across the Amazon in the near future. The resultant carbon source conditions, directly associated with disturbances, may be essential when considering climate projections and carbon accounting methods |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-12-01T09:01:28Z 2020-12-01T09:01:28Z 2020-11-30 2020 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
Remote Sensing, v. 12, n. 3, Article 430, 2020. http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127189 https://doi.org/10.3390/rs12030430 |
identifier_str_mv |
Remote Sensing, v. 12, n. 3, Article 430, 2020. |
url |
http://www.alice.cnptia.embrapa.br/alice/handle/doc/1127189 https://doi.org/10.3390/rs12030430 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) instname:Empresa Brasileira de Pesquisa Agropecuária (Embrapa) instacron:EMBRAPA |
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Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
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EMBRAPA |
institution |
EMBRAPA |
reponame_str |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
collection |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) |
repository.name.fl_str_mv |
Repositório Institucional da EMBRAPA (Repository Open Access to Scientific Information from EMBRAPA - Alice) - Empresa Brasileira de Pesquisa Agropecuária (Embrapa) |
repository.mail.fl_str_mv |
cg-riaa@embrapa.br |
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1794503498623090688 |