Enabling large-scale forest restoration in Minas Gerais state, Brazil

Detalhes bibliográficos
Autor(a) principal: Felipe S. M. Nunes
Data de Publicação: 2017
Outros Autores: Britaldo Silveira Soares Filho, Raoni Rajão, Frank Merry
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFMG
Texto Completo: https://doi.org/10.1088/1748-9326/aa6658
http://hdl.handle.net/1843/52108
https://orcid.org/0000-0002-7703-946X
https://orcid.org/0000-0002-1133-4837
Resumo: CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
id UFMG_3102964b9d813e7e05eff1d2c5ddd083
oai_identifier_str oai:repositorio.ufmg.br:1843/52108
network_acronym_str UFMG
network_name_str Repositório Institucional da UFMG
repository_id_str
spelling 2023-04-17T22:28:05Z2023-04-17T22:28:05Z2017-04-12124010https://doi.org/10.1088/1748-9326/aa66581748-9326http://hdl.handle.net/1843/52108https://orcid.org/0000-0002-7703-946Xhttps://orcid.org/0000-0002-1133-4837CNPq - Conselho Nacional de Desenvolvimento Científico e TecnológicoFAPEMIG - Fundação de Amparo à Pesquisa do Estado de Minas GeraisLarge-scale forest restoration is a cornerstone of Brazil's new Forest Code and a key element in its National Determined Contribution (NDC) to emissions reduction. But the path to this target remains unclear due to a lack of information on its economics and implementation challenges. Here, we begin to fill this gap by developing a spatially-explicit model for Minas Gerais state that estimates the costs and benefits of native vegetation regeneration under different restoration approaches. Our results show that 36% (0.7 million ha) of the Forest Code debt in Minas Gerais can be restored using only passive restoration, at a cost of US$ 175 ± 47 million. Adding low-cost assisted natural regeneration would increase that number to 75% (1.5 million ha) at a cost of US$ 776 ± 137 million over a 20 yr period. This would result in a potential sequestration of 284 MtCO2e. However, including the intensive planting methods needed to restore the remaining 25% of highly degraded areas—to fully solve the Forest Code debt and result in a potential sequestration of 345 MtCO2e—would more than double the costs to US$ 1.7 ± 0.3 billion. Our results emphasize the need to implement regional policies that take advantage of the natural regeneration potential as well as prioritize the restoration of areas key to ecosystem services.engUniversidade Federal de Minas GeraisUFMGBrasilIGC - DEPARTAMENTO DE CARTOGRAFIAEnviromental Research LettersEcologiaFlorestas - LegislaçãoFlorestas - ReproduçãoCódigo florestalPassivo ambientalRegeneração florestalAssisted natural regenerationSpatial optimization modelDinamica EGOEnabling large-scale forest restoration in Minas Gerais state, Brazilinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articlehttps://iopscience.iop.org/article/10.1088/1748-9326/aa6658Felipe S. M. NunesBritaldo Silveira Soares FilhoRaoni RajãoFrank Merryapplication/pdfinfo:eu-repo/semantics/openAccessreponame:Repositório Institucional da UFMGinstname:Universidade Federal de Minas Gerais (UFMG)instacron:UFMGLICENSELicense.txtLicense.txttext/plain; charset=utf-82042https://repositorio.ufmg.br/bitstream/1843/52108/1/License.txtfa505098d172de0bc8864fc1287ffe22MD51ORIGINALenablinglargescaleforestrestoration.pdfenablinglargescaleforestrestoration.pdfapplication/pdf21134304https://repositorio.ufmg.br/bitstream/1843/52108/2/enablinglargescaleforestrestoration.pdfacd2437fd26434ccf8742f5eda2c7b49MD521843/521082023-04-17 19:28:05.468oai:repositorio.ufmg.br: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Repositório de PublicaçõesPUBhttps://repositorio.ufmg.br/oaiopendoar:2023-04-17T22:28:05Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)false
dc.title.pt_BR.fl_str_mv Enabling large-scale forest restoration in Minas Gerais state, Brazil
title Enabling large-scale forest restoration in Minas Gerais state, Brazil
spellingShingle Enabling large-scale forest restoration in Minas Gerais state, Brazil
Felipe S. M. Nunes
Código florestal
Passivo ambiental
Regeneração florestal
Assisted natural regeneration
Spatial optimization model
Dinamica EGO
Ecologia
Florestas - Legislação
Florestas - Reprodução
title_short Enabling large-scale forest restoration in Minas Gerais state, Brazil
title_full Enabling large-scale forest restoration in Minas Gerais state, Brazil
title_fullStr Enabling large-scale forest restoration in Minas Gerais state, Brazil
title_full_unstemmed Enabling large-scale forest restoration in Minas Gerais state, Brazil
title_sort Enabling large-scale forest restoration in Minas Gerais state, Brazil
author Felipe S. M. Nunes
author_facet Felipe S. M. Nunes
Britaldo Silveira Soares Filho
Raoni Rajão
Frank Merry
author_role author
author2 Britaldo Silveira Soares Filho
Raoni Rajão
Frank Merry
author2_role author
author
author
dc.contributor.author.fl_str_mv Felipe S. M. Nunes
Britaldo Silveira Soares Filho
Raoni Rajão
Frank Merry
dc.subject.por.fl_str_mv Código florestal
Passivo ambiental
Regeneração florestal
Assisted natural regeneration
Spatial optimization model
Dinamica EGO
topic Código florestal
Passivo ambiental
Regeneração florestal
Assisted natural regeneration
Spatial optimization model
Dinamica EGO
Ecologia
Florestas - Legislação
Florestas - Reprodução
dc.subject.other.pt_BR.fl_str_mv Ecologia
Florestas - Legislação
Florestas - Reprodução
description CNPq - Conselho Nacional de Desenvolvimento Científico e Tecnológico
publishDate 2017
dc.date.issued.fl_str_mv 2017-04-12
dc.date.accessioned.fl_str_mv 2023-04-17T22:28:05Z
dc.date.available.fl_str_mv 2023-04-17T22:28:05Z
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 http://hdl.handle.net/1843/52108
dc.identifier.doi.pt_BR.fl_str_mv https://doi.org/10.1088/1748-9326/aa6658
dc.identifier.issn.pt_BR.fl_str_mv 1748-9326
dc.identifier.orcid.pt_BR.fl_str_mv https://orcid.org/0000-0002-7703-946X
https://orcid.org/0000-0002-1133-4837
url https://doi.org/10.1088/1748-9326/aa6658
http://hdl.handle.net/1843/52108
https://orcid.org/0000-0002-7703-946X
https://orcid.org/0000-0002-1133-4837
identifier_str_mv 1748-9326
dc.language.iso.fl_str_mv eng
language eng
dc.relation.ispartof.pt_BR.fl_str_mv Enviromental Research Letters
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.publisher.initials.fl_str_mv UFMG
dc.publisher.country.fl_str_mv Brasil
dc.publisher.department.fl_str_mv IGC - DEPARTAMENTO DE CARTOGRAFIA
publisher.none.fl_str_mv Universidade Federal de Minas Gerais
dc.source.none.fl_str_mv reponame:Repositório Institucional da UFMG
instname:Universidade Federal de Minas Gerais (UFMG)
instacron:UFMG
instname_str Universidade Federal de Minas Gerais (UFMG)
instacron_str UFMG
institution UFMG
reponame_str Repositório Institucional da UFMG
collection Repositório Institucional da UFMG
bitstream.url.fl_str_mv https://repositorio.ufmg.br/bitstream/1843/52108/1/License.txt
https://repositorio.ufmg.br/bitstream/1843/52108/2/enablinglargescaleforestrestoration.pdf
bitstream.checksum.fl_str_mv fa505098d172de0bc8864fc1287ffe22
acd2437fd26434ccf8742f5eda2c7b49
bitstream.checksumAlgorithm.fl_str_mv MD5
MD5
repository.name.fl_str_mv Repositório Institucional da UFMG - Universidade Federal de Minas Gerais (UFMG)
repository.mail.fl_str_mv
_version_ 1803589558874406912