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Registro Completo |
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Biblioteca(s): |
Embrapa Instrumentação; Embrapa Pecuária Sudeste. |
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Data corrente: |
10/05/2019 |
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Data da última atualização: |
03/01/2024 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SEGNINI, A.; XAVIER, A. A. P.; OTAVIANI-JUNIOR, P. L.; OLIVEIRA, P. P. A.; PEDROSO, A. de F.; PRAES, M. F. F. M.; RODRIGUES, P. H. M.; MILORI, D. M. B. P. |
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Afiliação: |
PATRICIA PERONDI ANCHAO OLIVEIRA, CPPSE; ANDRE DE FARIA PEDROSO, CPPSE; MARIA FERNANDA FERREIRA MENEGUCCI PRAES, Universidade de São Paulo; PAULO HENRIQUE MAZZA RODRIGUES, Universidade de São Paulo; DEBORA MARCONDES BASTOS PEREIRA, CNPDIA. |
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Título: |
Soil carbon stock and humification in pastures under different levels of intensification in Brazil. |
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Ano de publicação: |
2019 |
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Fonte/Imprenta: |
Scientia Agrícola, v. 76, n. 1, p. 33-40, 2019. |
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DOI: |
10.1590/1678-992X-2017-0131 |
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Idioma: |
Inglês |
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Conteúdo: |
Intensive management of tropical pastures has shown potential for greenhouse gas (GHG) mitigation due to high forage production and C accumulation in the soil. This study aimed to evaluate different pasture management options in relation to their effect on soil C stocks and soil organic matter (SOM) humification. Pastures in four beef cattle production systems were assessed: intensive and irrigated pasture with high stocking rate (IHS); dryland pasture with high stocking rate (DHS); dryland pasture with moderate stocking rate (DMS); degraded pasture (DP). The soil under the native forest was also evaluated and soil carbon stocks from the 0-100 and 0-30 cm layers were assessed. Carbon stocks (0-100 cm) ranged from 99.88 to 142.33 Mg ha−1 in DP and DMS, respectively and were, respectively, 14 % and 24 % higher compared to the soil under the forest and indicate the capacity of adequately managed tropical pastures to mitigate GHG emissions from livestock production. Humification indexes indicated the presence of more labile C in pastures with greater C accumulation (DHS and DMS), mainly in the upper soil layers, indicating recent C accumulation resulting from correct management. However, more labile C can be easily lost to the atmosphere as CO2, depending on pasture management. Low C stocks associated with high humification indexes are characteristics of DP in which significant amounts of SOM are lost. It is necessary to develop technologies to improve C sequestration in IHS and results indicate the importance of quantifying C stocks in association with C stability. MenosIntensive management of tropical pastures has shown potential for greenhouse gas (GHG) mitigation due to high forage production and C accumulation in the soil. This study aimed to evaluate different pasture management options in relation to their effect on soil C stocks and soil organic matter (SOM) humification. Pastures in four beef cattle production systems were assessed: intensive and irrigated pasture with high stocking rate (IHS); dryland pasture with high stocking rate (DHS); dryland pasture with moderate stocking rate (DMS); degraded pasture (DP). The soil under the native forest was also evaluated and soil carbon stocks from the 0-100 and 0-30 cm layers were assessed. Carbon stocks (0-100 cm) ranged from 99.88 to 142.33 Mg ha−1 in DP and DMS, respectively and were, respectively, 14 % and 24 % higher compared to the soil under the forest and indicate the capacity of adequately managed tropical pastures to mitigate GHG emissions from livestock production. Humification indexes indicated the presence of more labile C in pastures with greater C accumulation (DHS and DMS), mainly in the upper soil layers, indicating recent C accumulation resulting from correct management. However, more labile C can be easily lost to the atmosphere as CO2, depending on pasture management. Low C stocks associated with high humification indexes are characteristics of DP in which significant amounts of SOM are lost. It is necessary to develop technologies to improve C sequestration in IHS and... Mostrar Tudo |
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Palavras-Chave: |
Atlantic forest biome; Brazilian livestock systems; Humification index; ILPF; Laser-induced fluorescence spectroscopy. |
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Thesaurus Nal: |
Organic matter. |
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Categoria do assunto: |
--
A Sistemas de Cultivo |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/doc/1160406/1/SoilCarbonStock.pdf
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Marc: |
LEADER 02504naa a2200289 a 4500
001 2160406
005 2024-01-03
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1590/1678-992X-2017-0131$2DOI
100 1 $aSEGNINI, A.
245 $aSoil carbon stock and humification in pastures under different levels of intensification in Brazil.$h[electronic resource]
260 $c2019
520 $aIntensive management of tropical pastures has shown potential for greenhouse gas (GHG) mitigation due to high forage production and C accumulation in the soil. This study aimed to evaluate different pasture management options in relation to their effect on soil C stocks and soil organic matter (SOM) humification. Pastures in four beef cattle production systems were assessed: intensive and irrigated pasture with high stocking rate (IHS); dryland pasture with high stocking rate (DHS); dryland pasture with moderate stocking rate (DMS); degraded pasture (DP). The soil under the native forest was also evaluated and soil carbon stocks from the 0-100 and 0-30 cm layers were assessed. Carbon stocks (0-100 cm) ranged from 99.88 to 142.33 Mg ha−1 in DP and DMS, respectively and were, respectively, 14 % and 24 % higher compared to the soil under the forest and indicate the capacity of adequately managed tropical pastures to mitigate GHG emissions from livestock production. Humification indexes indicated the presence of more labile C in pastures with greater C accumulation (DHS and DMS), mainly in the upper soil layers, indicating recent C accumulation resulting from correct management. However, more labile C can be easily lost to the atmosphere as CO2, depending on pasture management. Low C stocks associated with high humification indexes are characteristics of DP in which significant amounts of SOM are lost. It is necessary to develop technologies to improve C sequestration in IHS and results indicate the importance of quantifying C stocks in association with C stability.
650 $aOrganic matter
653 $aAtlantic forest biome
653 $aBrazilian livestock systems
653 $aHumification index
653 $aILPF
653 $aLaser-induced fluorescence spectroscopy
700 1 $aXAVIER, A. A. P.
700 1 $aOTAVIANI-JUNIOR, P. L.
700 1 $aOLIVEIRA, P. P. A.
700 1 $aPEDROSO, A. de F.
700 1 $aPRAES, M. F. F. M.
700 1 $aRODRIGUES, P. H. M.
700 1 $aMILORI, D. M. B. P.
773 $tScientia Agrícola$gv. 76, n. 1, p. 33-40, 2019.
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Registro original: |
Embrapa Pecuária Sudeste (CPPSE) |
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Registro |
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Voltar
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Registro Completo
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
17/01/2018 |
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Data da última atualização: |
22/12/2021 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
ADAMI, M.; GOMES, A. R.; BELUZZO, A.; COELHO, A. dos S.; VALERIANO, D. de M.; RAMOS, F. de S.; NARVAES, I. da S.; BROWN, I. F.; OLIVEIRA, I. D. de; SANTOS, L. B.; MAURANO, L. E. P.; WATRIN, O. dos S.; GRAÇA, P. M. L. de A. |
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Afiliação: |
MARCOS ADAMI, INPE; ALESSANDRA RODRIGUES GOMES, INPE; AMANDA BELUZZO, COLABORADORA CPATU; ANDREA DOS SANTOS COELHO, INPE; DALTON DE MORISSON VALERIANO, INPE; FELIPE DE SOUZA RAMOS, INPA; Igor da Silva Narvaes, INPE; Irvin Foster Brown, UFAC; Ivanilson Dias de Oliveira, UFAC; Lucyana Barros Santos, INPE; Luis Eduardo P. Maurano, INPE; ORLANDO DOS SANTOS WATRIN, CPATU; Paulo Maurício Lima de Alencastro Graça, INPA. |
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Título: |
A confiabilidade do PRODES: estimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso. |
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Ano de publicação: |
2017 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE, 2017. |
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Páginas: |
p. 4189-4196. |
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Idioma: |
Português |
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Conteúdo: |
PRODES is completing almost thirty years of uninterrupted monitoring of clear-cut deforestation over the Brazilian Amazon. Until now, no estimate of its mapping accuracy has been made. In this sense, this article brings a first approximation of mapping accuracy estimation of PRODES deforested areas, taking as example the state of Mato Grosso for the year 2014. For this, a random sampling panel was constructed, stratified with two strata, the deforestation of 2014 and the remaining forest. The sample size was calculated using the binomial function. In addition, a web platform was built to evaluate the points drawn by three independent evaluators. The global accuracy of the mapping of deforestation for the state of Mato Grosso, for the year 2014 was 94.5%, and may vary between 92.4% and 96.5%, in the evaluated scenario there was no class discordance to be found. Regarding the Forest class, the user accuracy was 90.5% and the producer's accuracy was 88.4%, this imbalance between user accuracy and producer accuracy indicates that there is a tendency for the forest class area to be underestimated for this mapping, in this year. |
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Palavras-Chave: |
Acurácia. |
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Thesagro: |
Desmatamento. |
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Categoria do assunto: |
K Ciência Florestal e Produtos de Origem Vegetal |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/171255/1/galoa-proceedings-sbsr-59299-a-confiabilidade.pdf
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Marc: |
LEADER 02056nam a2200289 a 4500
001 2085664
005 2021-12-22
008 2017 bl uuuu u00u1 u #d
100 1 $aADAMI, M.
245 $aA confiabilidade do PRODES$bestimativa da acurácia do mapeamento do desmatamento no estado Mato Grosso.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: INPE$c2017
300 $ap. 4189-4196.
520 $aPRODES is completing almost thirty years of uninterrupted monitoring of clear-cut deforestation over the Brazilian Amazon. Until now, no estimate of its mapping accuracy has been made. In this sense, this article brings a first approximation of mapping accuracy estimation of PRODES deforested areas, taking as example the state of Mato Grosso for the year 2014. For this, a random sampling panel was constructed, stratified with two strata, the deforestation of 2014 and the remaining forest. The sample size was calculated using the binomial function. In addition, a web platform was built to evaluate the points drawn by three independent evaluators. The global accuracy of the mapping of deforestation for the state of Mato Grosso, for the year 2014 was 94.5%, and may vary between 92.4% and 96.5%, in the evaluated scenario there was no class discordance to be found. Regarding the Forest class, the user accuracy was 90.5% and the producer's accuracy was 88.4%, this imbalance between user accuracy and producer accuracy indicates that there is a tendency for the forest class area to be underestimated for this mapping, in this year.
650 $aDesmatamento
653 $aAcurácia
700 1 $aGOMES, A. R.
700 1 $aBELUZZO, A.
700 1 $aCOELHO, A. dos S.
700 1 $aVALERIANO, D. de M.
700 1 $aRAMOS, F. de S.
700 1 $aNARVAES, I. da S.
700 1 $aBROWN, I. F.
700 1 $aOLIVEIRA, I. D. de
700 1 $aSANTOS, L. B.
700 1 $aMAURANO, L. E. P.
700 1 $aWATRIN, O. dos S.
700 1 $aGRAÇA, P. M. L. de A.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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