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Registro Completo |
Biblioteca(s): |
Embrapa Trigo. |
Data corrente: |
16/12/2019 |
Data da última atualização: |
13/03/2020 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
FONTES, M. B.; MOREIRA, A.; MORAES, L. A. C.; SILVA, S. R. |
Afiliação: |
UNIFIL; ADONIS MOREIRA, CNPSO; LARISSA ALEXANDRA CARDOSO MORAES, CNPSO; SERGIO RICARDO SILVA, CNPT. |
Título: |
Resposta de cultivares de trigo a níveis de acidez do solo em sucessão a soja. |
Ano de publicação: |
2019 |
Fonte/Imprenta: |
In: JORNADA ACADÊMICA DA EMBRAPA SOJA, 14., 2019, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2019. 163 p. (Embrapa Soja. Documentos, 415). |
Páginas: |
p. 153-157. |
Idioma: |
Português |
Thesagro: |
Acidez do Solo; Soja; Trigo. |
Thesaurus Nal: |
Soil acidification; Soybeans; Wheat. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/204897/1/p-153.pdf
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Marc: |
LEADER 00736naa a2200229 a 4500 001 2117016 005 2020-03-13 008 2019 bl uuuu u00u1 u #d 100 1 $aFONTES, M. B. 245 $aResposta de cultivares de trigo a níveis de acidez do solo em sucessão a soja.$h[electronic resource] 260 $c2019 300 $ap. 153-157. 650 $aSoil acidification 650 $aSoybeans 650 $aWheat 650 $aAcidez do Solo 650 $aSoja 650 $aTrigo 700 1 $aMOREIRA, A. 700 1 $aMORAES, L. A. C. 700 1 $aSILVA, S. R. 773 $tIn: JORNADA ACADÊMICA DA EMBRAPA SOJA, 14., 2019, Londrina. Resumos expandidos... Londrina: Embrapa Soja, 2019. 163 p. (Embrapa Soja. Documentos, 415).
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Registro original: |
Embrapa Trigo (CNPT) |
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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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