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Registros recuperados : 8 | |
1. | | BOURGOIN, C.; BAGHDADI, N.; BLANC, L.; FERREIRA, J.; GOND, V.; MAZZEI, L.; OZWALD, Y. Identifying classes of degraded forests in an amazonian landscape from remote-sensing. In: INTERNATIONAL CONGRESS FOR CONSERVATION BIOLOGY, 27.; EUROPEAN CONGRESS FOR CONSERVATION BIOLOGY, 4., 2015, Montpellier. Mission biodiversity: choosing new paths for conservation: abstract book. [S.l.]: Society for Conservation Biology, 2015. p. 85. Biblioteca(s): Embrapa Amazônia Oriental. |
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2. | | TRITSCH, I.; SIST, P.; NARVAES, I. da S.; FREITAS, L. J. M. de; BLANC, L.; BOURGOIN, C.; CORNU, G.; GOND, V. Multiple patterns of forest disturbance and logging shape forest landscapes in Paragominas, Brazil. Forests, v. 7, n. 12, 2016. Biblioteca(s): Embrapa Amazônia Oriental. |
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3. | | BLANC, L.; FERREIRA, J. N.; PIKETTY, M.-G.; BOURGOIN, C.; GOND, V.; HÉRAULT, B.; KANASHIRO, M.; LAURENT, F.; PIRAUX, M.; RUTISHAUSER, E.; SIST, P. Gestão das florestas degradadas, uma nova prioridade na Amazônia brasileira. Perspective, n. 40, 2017. Disponível também em inglês e francês. Biblioteca(s): Embrapa Amazônia Oriental. |
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4. | | BOURGOIN, C.; BETBEDER, J.; LE ROUX, R.; GOND, V.; OSZWALD, J.; ARVOR, D.; BAUDRY, J.; BOUSSARD, H.; LE CLECH, S.; FREITAS, L. J. M. de; DESSARD, H.; LÄDERACH, P.; REYMONDIN, L.; BLANC, L. Looking beyond forest cover: an analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon. Environmental Research Letters, v. 16, n. 11, 114045, Nov. 2021. Biblioteca(s): Embrapa Amazônia Oriental. |
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5. | | BOURGOIN, C.; BETBEDER, J.; COUTERON, P.; BLANC, L.; DESSARD, H.; OSZWALD, J.; LE ROUX, R.; CORNU, G.; REYMONDIN, L.; FREITAS, L. J. M. de; SIST, P.; LÄDERACH, P.; GOND, V. UAV-based canopy textures assess changes in forest structure from long-term degradation. Ecological Indicators, v. 115, 106386, Aug. 2020. Biblioteca(s): Embrapa Amazônia Oriental. |
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6. | | FERREIRA, J.; BLANC, L.; KANASHIRO, M.; LEES, A. C.; BOURGOIN, C.; FREITAS, J. V. de; GAMA, M. B.; LAURENT, F.; MARTINS, M. B.; MOURA, N.; D'OLIVEIRA, M. V.; SOTTA, E. D.; SOUZA, C. R. de; RUSCHEL, A. R.; SCHWARTZ, G.; ZWERTS, J.; SIST, P. Degradação florestal na Amazônia: como ultrapassar os limites conceituais, científicos e técnicos para mudar esse cenário. Belém, PA: Embrapa Amazônia Oriental, 2015. 29 p. (Embrapa Amazônia Oriental. Documentos, 413). Biblioteca(s): Embrapa Amapá; Embrapa Amazônia Ocidental; Embrapa Semiárido. |
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7. | | FERREIRA, J.; BLANC, L.; KANASHIRO, M.; LEES, A. C.; BOURGOIN, C.; FREITAS, J. V. de; GAMA, M. B.; LAURENT, F.; MARTINS, M. B.; MOURA, N.; OLIVEIRA, M. V. N. d'; SOTTA, E. D.; SOUZA, C. R. de; RUSCHEL, A. R.; SCHWARTZ, G.; ZWERTS, J.; SIST, P. Degradação florestal na Amazônia: como ultrapassar os limites conceituais, científicos e técnicos para mudar esse cenário. Belém, PA: Embrapa Amazônia Oriental, 2015. 29 p. (Embrapa Amazônia Oriental. Documentos, 413). Biblioteca(s): Embrapa Acre; Embrapa Amazônia Oriental. |
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8. | | FERREIRA, J.; BLANC, L.; KANASHIRO, M.; LEES, A. C.; BOURGOIN, C.; FREITAS, J. V. de; GAMA, M. de M. B.; LAURENT, F.; MARTINS, M. B.; MOURA, N.; D'OLIVEIRA, M. V.; SOTTA, E. D.; SOUZA, C. R. de; RUSCHEL, A. R.; SCHWARTZ, G.; ZWERTS, J.; SIST, P. Degradação florestal na Amazônia: como ultrapassar os limites conceituais, científicos e técnicos para mudar esse cenário. Belém, PA: Embrapa Amazônia Oriental, 2015 29 p. (Embrapa Amazônia Oriental. Documentos, 413). Biblioteca(s): Embrapa Rondônia. |
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Registros recuperados : 8 | |
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Registro Completo
Biblioteca(s): |
Embrapa Amazônia Oriental. |
Data corrente: |
10/11/2021 |
Data da última atualização: |
10/11/2021 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
A - 1 |
Autoria: |
BOURGOIN, C.; BETBEDER, J.; LE ROUX, R.; GOND, V.; OSZWALD, J.; ARVOR, D.; BAUDRY, J.; BOUSSARD, H.; LE CLECH, S.; FREITAS, L. J. M. de; DESSARD, H.; LÄDERACH, P.; REYMONDIN, L.; BLANC, L. |
Afiliação: |
CLÉMENT BOURGOIN, CIRAD / CIAT; JULIE BETBEDER, CIRAD / CATIE; RENAN LE ROUX, CIRAD; VALÉRY GOND, CIRAD; JOHAN OSZWALD, Université Rennes 2; DAMIEN ARVOR, Université Rennes 2; JACQUES BAUDRY, BAGAP, INRAE, Institut Agro; HUGUES BOUSSARD, BAGAP, INRAE, Institut Agro; SOLEN LE CLECH, Wageningen University and Research; LUCAS JOSE MAZZEI DE FREITAS, CPATU; HÉLÈNE DESSARD, CIRAD; PETER LÄDERACH, CIAT; LOUIS REYMONDIN, CIAT; LILIAN BLANC, CIRAD. |
Título: |
Looking beyond forest cover: an analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon. |
Ano de publicação: |
2021 |
Fonte/Imprenta: |
Environmental Research Letters, v. 16, n. 11, 114045, Nov. 2021. |
DOI: |
https://doi.org/10.1088/1748-9326/ac31eb |
Idioma: |
Inglês |
Conteúdo: |
While forest degradation rates and extent exceed deforestation in the Brazilian Amazon, less attention is given to the factors controlling its spatial distribution. No quantified correlation exists between changes of forest structure due to anthropogenic disturbances and dynamics of land use and cover change occurring at broader spatial levels. This study examines the influence of multi-scale landscape structure factors (i.e. spatial composition, configuration and dynamic of land use/cover) on primary forest's aboveground biomass (AGB), spanning from low to highly degraded, in Paragominas municipality (Pará state). We used random forest models to identify the most important landscape predictors of degradation and clustering methods to analyze their distribution and interactions. We found that 58% of the variance of AGB could be explained by metrics reflecting land use practices and agricultural dynamics around primary forest patches and that their spatial patterns were not randomly distributed. Forest degradation is mainly driven by fragmentation effects resulting from old deforestation and colonization events linked with cropland expansion (e.g. soybean and maize) coupled with high accessibility to market. To a lesser extent, degradation is driven by recent and ongoing (1985?2015) deforestation and fragmentation in slash-and-burn agricultural areas, characterized by heterogeneous mosaics of pastures and fallow lands combined with high use of fire. Our findings highlight the potential of landscape-level framework and remotely sensed land cover data for a thorough understanding of the distribution of forest degradation across human-modified landscapes. Addressing these spatial determinants by looking at agricultural dynamics beyond forest cover is necessary to improve forest management which has major implications for biodiversity, carbon and other ecosystem services. MenosWhile forest degradation rates and extent exceed deforestation in the Brazilian Amazon, less attention is given to the factors controlling its spatial distribution. No quantified correlation exists between changes of forest structure due to anthropogenic disturbances and dynamics of land use and cover change occurring at broader spatial levels. This study examines the influence of multi-scale landscape structure factors (i.e. spatial composition, configuration and dynamic of land use/cover) on primary forest's aboveground biomass (AGB), spanning from low to highly degraded, in Paragominas municipality (Pará state). We used random forest models to identify the most important landscape predictors of degradation and clustering methods to analyze their distribution and interactions. We found that 58% of the variance of AGB could be explained by metrics reflecting land use practices and agricultural dynamics around primary forest patches and that their spatial patterns were not randomly distributed. Forest degradation is mainly driven by fragmentation effects resulting from old deforestation and colonization events linked with cropland expansion (e.g. soybean and maize) coupled with high accessibility to market. To a lesser extent, degradation is driven by recent and ongoing (1985?2015) deforestation and fragmentation in slash-and-burn agricultural areas, characterized by heterogeneous mosaics of pastures and fallow lands combined with high use of fire. Our findings highlight the... Mostrar Tudo |
Thesagro: |
Degradação Ambiental; Sensoriamento Remoto; Uso da Terra. |
Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/227627/1/Bourgoin-2021-Environ.-Res.-Lett.-16-114045.pdf
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Marc: |
LEADER 02866naa a2200325 a 4500 001 2135995 005 2021-11-10 008 2021 bl uuuu u00u1 u #d 024 7 $ahttps://doi.org/10.1088/1748-9326/ac31eb$2DOI 100 1 $aBOURGOIN, C. 245 $aLooking beyond forest cover$ban analysis of landscape-scale predictors of forest degradation in the Brazilian Amazon.$h[electronic resource] 260 $c2021 520 $aWhile forest degradation rates and extent exceed deforestation in the Brazilian Amazon, less attention is given to the factors controlling its spatial distribution. No quantified correlation exists between changes of forest structure due to anthropogenic disturbances and dynamics of land use and cover change occurring at broader spatial levels. This study examines the influence of multi-scale landscape structure factors (i.e. spatial composition, configuration and dynamic of land use/cover) on primary forest's aboveground biomass (AGB), spanning from low to highly degraded, in Paragominas municipality (Pará state). We used random forest models to identify the most important landscape predictors of degradation and clustering methods to analyze their distribution and interactions. We found that 58% of the variance of AGB could be explained by metrics reflecting land use practices and agricultural dynamics around primary forest patches and that their spatial patterns were not randomly distributed. Forest degradation is mainly driven by fragmentation effects resulting from old deforestation and colonization events linked with cropland expansion (e.g. soybean and maize) coupled with high accessibility to market. To a lesser extent, degradation is driven by recent and ongoing (1985?2015) deforestation and fragmentation in slash-and-burn agricultural areas, characterized by heterogeneous mosaics of pastures and fallow lands combined with high use of fire. Our findings highlight the potential of landscape-level framework and remotely sensed land cover data for a thorough understanding of the distribution of forest degradation across human-modified landscapes. Addressing these spatial determinants by looking at agricultural dynamics beyond forest cover is necessary to improve forest management which has major implications for biodiversity, carbon and other ecosystem services. 650 $aDegradação Ambiental 650 $aSensoriamento Remoto 650 $aUso da Terra 700 1 $aBETBEDER, J. 700 1 $aLE ROUX, R. 700 1 $aGOND, V. 700 1 $aOSZWALD, J. 700 1 $aARVOR, D. 700 1 $aBAUDRY, J. 700 1 $aBOUSSARD, H. 700 1 $aLE CLECH, S. 700 1 $aFREITAS, L. J. M. de 700 1 $aDESSARD, H. 700 1 $aLÄDERACH, P. 700 1 $aREYMONDIN, L. 700 1 $aBLANC, L. 773 $tEnvironmental Research Letters$gv. 16, n. 11, 114045, Nov. 2021.
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Embrapa Amazônia Oriental (CPATU) |
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