Modeling deforestation in the state of Rondônia
Autor(a) principal: | |
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Data de Publicação: | 2019 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UnB |
Texto Completo: | https://repositorio.unb.br/handle/10482/36654 https://doi.org/10.1590/2179-8087.044118 http://orcid.org/0000-0002-1442-7772 http://orcid.org/0000-0002-5375-6368 http://orcid.org/0000-0002-5323-6100 http://orcid.org/0000-0002-3873-737X http://orcid.org/0000-0002-6375-0648 http://orcid.org/0000-0002-2663-9318 |
Resumo: | This study applied a deforestation model for the entire State of Rondônia assuming three scenarios of deforestation: business as usual, optimistic and pessimistic. Those scenarios were constructed for the time-period of 2012-2050 using the Dinamica EGO software. Rondônia deforestation dataset was provided by the Agência Ambiental do Estado de Rondônia (Rondônia State Environmental Agency) and was used as input of the deforestation modeling. Based on this study results, we estimated that 32%, 37% and 47% of Rondônia’s native forest could be fully deforested by 2050 assuming the optimistic, business as usual and pessimistic scenarios, respectively. Regardless of the chosen scenario, we expect that deforestation will be spatially concentrated in Northern Rondônia in the next decades. The greatest concern, however, could be the integrity of the protected areas assuming the business as usual and/or pessimistic scenario. In addition, we expect a substantial increase of the forest fragmentation by 2050. |
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Modeling deforestation in the state of RondôniaSolo - usoDesmatamento - RondôniaThis study applied a deforestation model for the entire State of Rondônia assuming three scenarios of deforestation: business as usual, optimistic and pessimistic. Those scenarios were constructed for the time-period of 2012-2050 using the Dinamica EGO software. Rondônia deforestation dataset was provided by the Agência Ambiental do Estado de Rondônia (Rondônia State Environmental Agency) and was used as input of the deforestation modeling. Based on this study results, we estimated that 32%, 37% and 47% of Rondônia’s native forest could be fully deforested by 2050 assuming the optimistic, business as usual and pessimistic scenarios, respectively. Regardless of the chosen scenario, we expect that deforestation will be spatially concentrated in Northern Rondônia in the next decades. The greatest concern, however, could be the integrity of the protected areas assuming the business as usual and/or pessimistic scenario. In addition, we expect a substantial increase of the forest fragmentation by 2050.Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro2020-01-24T10:32:49Z2020-01-24T10:32:49Z2019info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfPIONTEKOWSKI, Valderli Jorge et al. Modeling Deforestation in the State of Rondônia. Floresta e Ambiente, v. 26, n. 3, e20180441, 2019. DOI: https://doi.org/10.1590/2179-8087.044118. Disponível em: http://scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300144. Acesso em: 23 jan. 2020.https://repositorio.unb.br/handle/10482/36654https://doi.org/10.1590/2179-8087.044118http://orcid.org/0000-0002-1442-7772http://orcid.org/0000-0002-5375-6368http://orcid.org/0000-0002-5323-6100http://orcid.org/0000-0002-3873-737Xhttp://orcid.org/0000-0002-6375-0648http://orcid.org/0000-0002-2663-9318(CC BY) - Creative Commons License. All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License.info:eu-repo/semantics/openAccessPiontekowski, Valderli JorgeRibeiro, Fabiana PiontekowskiMatricardi, Eraldo Aparecido TrondoliLustosa Junior, Ilvan MedeirosBussinguer, Angela PereiraGatto, Alcidesengreponame:Repositório Institucional da UnBinstname:Universidade de Brasília (UnB)instacron:UNB2023-05-24T23:14:43Zoai:repositorio.unb.br:10482/36654Repositório InstitucionalPUBhttps://repositorio.unb.br/oai/requestrepositorio@unb.bropendoar:2023-05-24T23:14:43Repositório Institucional da UnB - Universidade de Brasília (UnB)false |
dc.title.none.fl_str_mv |
Modeling deforestation in the state of Rondônia |
title |
Modeling deforestation in the state of Rondônia |
spellingShingle |
Modeling deforestation in the state of Rondônia Piontekowski, Valderli Jorge Solo - uso Desmatamento - Rondônia |
title_short |
Modeling deforestation in the state of Rondônia |
title_full |
Modeling deforestation in the state of Rondônia |
title_fullStr |
Modeling deforestation in the state of Rondônia |
title_full_unstemmed |
Modeling deforestation in the state of Rondônia |
title_sort |
Modeling deforestation in the state of Rondônia |
author |
Piontekowski, Valderli Jorge |
author_facet |
Piontekowski, Valderli Jorge Ribeiro, Fabiana Piontekowski Matricardi, Eraldo Aparecido Trondoli Lustosa Junior, Ilvan Medeiros Bussinguer, Angela Pereira Gatto, Alcides |
author_role |
author |
author2 |
Ribeiro, Fabiana Piontekowski Matricardi, Eraldo Aparecido Trondoli Lustosa Junior, Ilvan Medeiros Bussinguer, Angela Pereira Gatto, Alcides |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Piontekowski, Valderli Jorge Ribeiro, Fabiana Piontekowski Matricardi, Eraldo Aparecido Trondoli Lustosa Junior, Ilvan Medeiros Bussinguer, Angela Pereira Gatto, Alcides |
dc.subject.por.fl_str_mv |
Solo - uso Desmatamento - Rondônia |
topic |
Solo - uso Desmatamento - Rondônia |
description |
This study applied a deforestation model for the entire State of Rondônia assuming three scenarios of deforestation: business as usual, optimistic and pessimistic. Those scenarios were constructed for the time-period of 2012-2050 using the Dinamica EGO software. Rondônia deforestation dataset was provided by the Agência Ambiental do Estado de Rondônia (Rondônia State Environmental Agency) and was used as input of the deforestation modeling. Based on this study results, we estimated that 32%, 37% and 47% of Rondônia’s native forest could be fully deforested by 2050 assuming the optimistic, business as usual and pessimistic scenarios, respectively. Regardless of the chosen scenario, we expect that deforestation will be spatially concentrated in Northern Rondônia in the next decades. The greatest concern, however, could be the integrity of the protected areas assuming the business as usual and/or pessimistic scenario. In addition, we expect a substantial increase of the forest fragmentation by 2050. |
publishDate |
2019 |
dc.date.none.fl_str_mv |
2019 2020-01-24T10:32:49Z 2020-01-24T10:32:49Z |
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 |
PIONTEKOWSKI, Valderli Jorge et al. Modeling Deforestation in the State of Rondônia. Floresta e Ambiente, v. 26, n. 3, e20180441, 2019. DOI: https://doi.org/10.1590/2179-8087.044118. Disponível em: http://scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300144. Acesso em: 23 jan. 2020. https://repositorio.unb.br/handle/10482/36654 https://doi.org/10.1590/2179-8087.044118 http://orcid.org/0000-0002-1442-7772 http://orcid.org/0000-0002-5375-6368 http://orcid.org/0000-0002-5323-6100 http://orcid.org/0000-0002-3873-737X http://orcid.org/0000-0002-6375-0648 http://orcid.org/0000-0002-2663-9318 |
identifier_str_mv |
PIONTEKOWSKI, Valderli Jorge et al. Modeling Deforestation in the State of Rondônia. Floresta e Ambiente, v. 26, n. 3, e20180441, 2019. DOI: https://doi.org/10.1590/2179-8087.044118. Disponível em: http://scielo.br/scielo.php?script=sci_arttext&pid=S2179-80872019000300144. Acesso em: 23 jan. 2020. |
url |
https://repositorio.unb.br/handle/10482/36654 https://doi.org/10.1590/2179-8087.044118 http://orcid.org/0000-0002-1442-7772 http://orcid.org/0000-0002-5375-6368 http://orcid.org/0000-0002-5323-6100 http://orcid.org/0000-0002-3873-737X http://orcid.org/0000-0002-6375-0648 http://orcid.org/0000-0002-2663-9318 |
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.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
publisher.none.fl_str_mv |
Instituto de Florestas da Universidade Federal Rural do Rio de Janeiro |
dc.source.none.fl_str_mv |
reponame:Repositório Institucional da UnB instname:Universidade de Brasília (UnB) instacron:UNB |
instname_str |
Universidade de Brasília (UnB) |
instacron_str |
UNB |
institution |
UNB |
reponame_str |
Repositório Institucional da UnB |
collection |
Repositório Institucional da UnB |
repository.name.fl_str_mv |
Repositório Institucional da UnB - Universidade de Brasília (UnB) |
repository.mail.fl_str_mv |
repositorio@unb.br |
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1814508336454828032 |