Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016

Detalhes bibliográficos
Autor(a) principal: Moretti, Mariana Soares
Data de Publicação: 2020
Outros Autores: Matricardi, Eraldo Aparecido Trondoli, Costa, Olívia Bueno da, Pedlowski, Marcos Antônio, Ferreira, Nilson Clementino, Miguel, Eder Pereira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Ciência Florestal (Online)
Texto Completo: https://periodicos.ufsm.br/cienciaflorestal/article/view/36802
Resumo: Selective logging is a forestry activity that includes harvesting a group of tree species in native forests, usually those of higher value or commercial interest. Selective logging can be carried out legally, in forest management areas and forest areas previously authorized for deforestation, or illegally, in any other unauthorized cases that occur in a predatory manner. In this study, the spatiotemporal dynamic of selectively logged forests in the state of Mato Grosso was assessed based on a time-series (from 1992 to 2016) of logged forests detected using remotely sensed data. Visual interpretation and semi-automatic classification of Landsat imagery were used to detect forests impacted by selective logging activities in the study area. Based on the results, it was estimated that 41,926 km2 of native forests were selectively logged at least once between 1992 and 2016 in the state of Mato Grosso, an annual average of 1,747 km2. Selectively logged forests detected showing persistent or recurrent forest disturbances were more frequently observed in the most recent years of this analysis. Most of the selectively logged forests in the study area and period have not been deforested by 2016. It indicates that selective logging is a dissociated phenomenon with deforestation in the state of Mato Grosso. It was also observed that an average of 18 km2.year-1 and 268.18 km2.year-1 of native forests was selectively logged within Conservation Units and Indigenous Lands between 1992 and 2016. A significant tendency to increase or decrease logging activities within those protected areas in the analyzed period was not observed. Selectively logged forests were persistently detected in the old timber centers located in the central-northern region of the state of Mato Grosso, showing, potentially, new cutting cycles in those previously logged forests. More recently, selective logging activities have reached the last native forest frontier in northwestern Mato Grosso. Finally, it was concluded that selective logging is annually disturbing a considerable extension of native forests in the state of Mato Grosso and, therefore, needs to be adequately considered and monitored by environmental agencies due to its potential forest impacts and to support the definition of public policies to ensure the future sustainability of forest production in that state.
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spelling Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016Dinâmica espaço-temporal da extração seletiva de madeiras no estado de Mato Grosso entre 1992 e 2016Forest disturbancesTropical forestAmazonRemote SensingGeographic Information SystemDistúrbios florestaisFloresta tropicalAmazôniaSensoriamento RemotoSistema de Informação GeográficaSelective logging is a forestry activity that includes harvesting a group of tree species in native forests, usually those of higher value or commercial interest. Selective logging can be carried out legally, in forest management areas and forest areas previously authorized for deforestation, or illegally, in any other unauthorized cases that occur in a predatory manner. In this study, the spatiotemporal dynamic of selectively logged forests in the state of Mato Grosso was assessed based on a time-series (from 1992 to 2016) of logged forests detected using remotely sensed data. Visual interpretation and semi-automatic classification of Landsat imagery were used to detect forests impacted by selective logging activities in the study area. Based on the results, it was estimated that 41,926 km2 of native forests were selectively logged at least once between 1992 and 2016 in the state of Mato Grosso, an annual average of 1,747 km2. Selectively logged forests detected showing persistent or recurrent forest disturbances were more frequently observed in the most recent years of this analysis. Most of the selectively logged forests in the study area and period have not been deforested by 2016. It indicates that selective logging is a dissociated phenomenon with deforestation in the state of Mato Grosso. It was also observed that an average of 18 km2.year-1 and 268.18 km2.year-1 of native forests was selectively logged within Conservation Units and Indigenous Lands between 1992 and 2016. A significant tendency to increase or decrease logging activities within those protected areas in the analyzed period was not observed. Selectively logged forests were persistently detected in the old timber centers located in the central-northern region of the state of Mato Grosso, showing, potentially, new cutting cycles in those previously logged forests. More recently, selective logging activities have reached the last native forest frontier in northwestern Mato Grosso. Finally, it was concluded that selective logging is annually disturbing a considerable extension of native forests in the state of Mato Grosso and, therefore, needs to be adequately considered and monitored by environmental agencies due to its potential forest impacts and to support the definition of public policies to ensure the future sustainability of forest production in that state.A extração seletiva de madeiras é uma atividade florestal que inclui a exploração de um grupo de espécies florestais em florestas nativas, normalmente as de maior valor ou interesse comercial. A extração seletiva de madeiras pode ser executada legalmente, em áreas de manejo e de exploração florestal para desmatamentos autorizados ou, ilegalmente, em situações não autorizadas, que ocorrem de forma predatória. No presente estudo, a dinâmica espaço-temporal da extração seletiva de madeiras no estado de Mato Grosso foi avaliada a partir de uma série temporal (de 1992 a 2016) de dados de florestas exploradas seletivamente detectadas, usando dados de sensoriamento remoto. A interpretação visual e a classificação semiautomática de imagens Landsat foram utilizadas para detectar as florestas alteradas por atividades de extração seletiva de madeiras na área de estudo. Com base nos presentes resultados, estimou-se que 41.926 km2 de florestas nativas foram exploradas ao menos uma vez entre 1992 e 2016 em Mato Grosso, com área média anual de 1.747 km2. As florestas exploradas seletivamente e detectadas com distúrbios persistentes ou recorrentes foram mais frequentes nos anos mais recentes desta análise. A maioria das florestas exploradas seletivamente na área e no período de estudo não foram desmatadas até 2016. Esse fato indica que a extração seletiva de madeiras consiste em um fenômeno desagregado do desmatamento no estado de Mato Grosso. Observou-se que uma média de 18 km2.ano-1 e 268,18 km2.ano-1 de florestas foram exploradas seletivamente dentro de Unidades de Conservação e Terras Indígenas, respectivamente, entre 1992 e 2016. As atividades de extração seletiva não apresentaram tendências significativas de aumento ou redução dentro de áreas protegidas no período analisado. As áreas de exploração seletiva de madeira foram persistentemente detectadas nos antigos polos madeireiros localizados na região centro-norte do Estado com, possivelmente, novos ciclos de corte nas áreas manejadas. Mais recentemente, a extração seletiva se expandiu à última fronteira florestal nativa no noroeste do estado de Mato Grosso. Finalmente, concluiu-se que a exploração madeireira impacta grande extensão de florestas nativas anualmente no estado de Mato Grosso e, por isso, precisa ser devidamente considerada e monitorada pelos órgãos ambientais devido aos seus potenciais impactos nas florestas e para apoiar a definição de políticas públicas para garantir a sustentabilidade da produção florestal futura naquele Estado.Universidade Federal de Santa Maria2020-09-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufsm.br/cienciaflorestal/article/view/3680210.5902/1980509836802Ciência Florestal; Vol. 30 No. 3 (2020); 796-808Ciência Florestal; v. 30 n. 3 (2020); 796-8081980-50980103-9954reponame:Ciência Florestal (Online)instname:Universidade Federal de Santa Maria (UFSM)instacron:UFSMporhttps://periodicos.ufsm.br/cienciaflorestal/article/view/36802/33584Copyright (c) 2020 Ciência Florestalinfo:eu-repo/semantics/openAccessMoretti, Mariana SoaresMatricardi, Eraldo Aparecido TrondoliCosta, Olívia Bueno daPedlowski, Marcos AntônioFerreira, Nilson ClementinoMiguel, Eder Pereira2020-09-02T20:52:05Zoai:ojs.pkp.sfu.ca:article/36802Revistahttp://www.ufsm.br/cienciaflorestal/ONGhttps://old.scielo.br/oai/scielo-oai.php||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br1980-50980103-9954opendoar:2020-09-02T20:52:05Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)false
dc.title.none.fl_str_mv Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
Dinâmica espaço-temporal da extração seletiva de madeiras no estado de Mato Grosso entre 1992 e 2016
title Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
spellingShingle Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
Moretti, Mariana Soares
Forest disturbances
Tropical forest
Amazon
Remote Sensing
Geographic Information System
Distúrbios florestais
Floresta tropical
Amazônia
Sensoriamento Remoto
Sistema de Informação Geográfica
title_short Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
title_full Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
title_fullStr Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
title_full_unstemmed Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
title_sort Spatio-temporal dynamics of selective logging in the state of Mato Grosso between 1992 and 2016
author Moretti, Mariana Soares
author_facet Moretti, Mariana Soares
Matricardi, Eraldo Aparecido Trondoli
Costa, Olívia Bueno da
Pedlowski, Marcos Antônio
Ferreira, Nilson Clementino
Miguel, Eder Pereira
author_role author
author2 Matricardi, Eraldo Aparecido Trondoli
Costa, Olívia Bueno da
Pedlowski, Marcos Antônio
Ferreira, Nilson Clementino
Miguel, Eder Pereira
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Moretti, Mariana Soares
Matricardi, Eraldo Aparecido Trondoli
Costa, Olívia Bueno da
Pedlowski, Marcos Antônio
Ferreira, Nilson Clementino
Miguel, Eder Pereira
dc.subject.por.fl_str_mv Forest disturbances
Tropical forest
Amazon
Remote Sensing
Geographic Information System
Distúrbios florestais
Floresta tropical
Amazônia
Sensoriamento Remoto
Sistema de Informação Geográfica
topic Forest disturbances
Tropical forest
Amazon
Remote Sensing
Geographic Information System
Distúrbios florestais
Floresta tropical
Amazônia
Sensoriamento Remoto
Sistema de Informação Geográfica
description Selective logging is a forestry activity that includes harvesting a group of tree species in native forests, usually those of higher value or commercial interest. Selective logging can be carried out legally, in forest management areas and forest areas previously authorized for deforestation, or illegally, in any other unauthorized cases that occur in a predatory manner. In this study, the spatiotemporal dynamic of selectively logged forests in the state of Mato Grosso was assessed based on a time-series (from 1992 to 2016) of logged forests detected using remotely sensed data. Visual interpretation and semi-automatic classification of Landsat imagery were used to detect forests impacted by selective logging activities in the study area. Based on the results, it was estimated that 41,926 km2 of native forests were selectively logged at least once between 1992 and 2016 in the state of Mato Grosso, an annual average of 1,747 km2. Selectively logged forests detected showing persistent or recurrent forest disturbances were more frequently observed in the most recent years of this analysis. Most of the selectively logged forests in the study area and period have not been deforested by 2016. It indicates that selective logging is a dissociated phenomenon with deforestation in the state of Mato Grosso. It was also observed that an average of 18 km2.year-1 and 268.18 km2.year-1 of native forests was selectively logged within Conservation Units and Indigenous Lands between 1992 and 2016. A significant tendency to increase or decrease logging activities within those protected areas in the analyzed period was not observed. Selectively logged forests were persistently detected in the old timber centers located in the central-northern region of the state of Mato Grosso, showing, potentially, new cutting cycles in those previously logged forests. More recently, selective logging activities have reached the last native forest frontier in northwestern Mato Grosso. Finally, it was concluded that selective logging is annually disturbing a considerable extension of native forests in the state of Mato Grosso and, therefore, needs to be adequately considered and monitored by environmental agencies due to its potential forest impacts and to support the definition of public policies to ensure the future sustainability of forest production in that state.
publishDate 2020
dc.date.none.fl_str_mv 2020-09-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/36802
10.5902/1980509836802
url https://periodicos.ufsm.br/cienciaflorestal/article/view/36802
identifier_str_mv 10.5902/1980509836802
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufsm.br/cienciaflorestal/article/view/36802/33584
dc.rights.driver.fl_str_mv Copyright (c) 2020 Ciência Florestal
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 Ciência Florestal
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Maria
publisher.none.fl_str_mv Universidade Federal de Santa Maria
dc.source.none.fl_str_mv Ciência Florestal; Vol. 30 No. 3 (2020); 796-808
Ciência Florestal; v. 30 n. 3 (2020); 796-808
1980-5098
0103-9954
reponame:Ciência Florestal (Online)
instname:Universidade Federal de Santa Maria (UFSM)
instacron:UFSM
instname_str Universidade Federal de Santa Maria (UFSM)
instacron_str UFSM
institution UFSM
reponame_str Ciência Florestal (Online)
collection Ciência Florestal (Online)
repository.name.fl_str_mv Ciência Florestal (Online) - Universidade Federal de Santa Maria (UFSM)
repository.mail.fl_str_mv ||cienciaflorestal@ufsm.br|| cienciaflorestal@gmail.com|| cf@smail.ufsm.br
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