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 | Acesso ao texto completo restrito à biblioteca da Embrapa Amazônia Oriental. Para informações adicionais entre em contato com cpatu.biblioteca@embrapa.br. |
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Registro Completo |
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Biblioteca(s): |
Embrapa Amazônia Oriental. |
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Data corrente: |
21/12/2012 |
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Data da última atualização: |
10/11/2022 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
BARLOW, J.; PARRY, L.; GARDNER, T. A.; FERREIRA, J. N.; ARAGÃO, L. E. O. C.; CARMENTA, R.; BERENGUER, E.; VIEIRA, I. C. G.; SOUZA, C.; COCHRANE, M. A. |
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Afiliação: |
JOS BARLOW, LANCASTER UNIVERSITY; LUKE PARRY, LANCASTER UNIVERSITY; TOBY A. GARDNER, LANCASTER UNIVERSITY / UNIVERSITY OF CAMBRIDGE; JOICE NUNES FERREIRA, CPATU; LUIZ E. O. C. ARAGÃO, UNIVERSITY OF EXETER; RAQUEL CARMENTA, LANCASTER UNIVERSITY; ERIKA BERENGUER, LANCASTER UNIVERISTY; IMA C. G. VIEIRA, MPEG; CARLOS SOUZA, IMAZON; MARK A. COCHRANE, SOUTH DAKOTA STATE UNIVERSITY. |
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Título: |
The critical importance of considering fire in REDD+ programs. |
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Ano de publicação: |
2012 |
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Fonte/Imprenta: |
Biological Conservation, v. 154, p. 1-8, Oct. 2012. |
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DOI: |
http://dx.doi.org/10.1016/j.biocon.2012.03.034 |
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Idioma: |
Inglês |
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Conteúdo: |
Fires are increasingly responsible for forest degradation in the humid tropics due to the expansion of fire-dependent agriculture, fragmentation, intensive logging practices and severe droughts. However, these forest fires have been largely overlooked by negotiations for Reducing Emissions from Deforestation and Degradation (REDD+). This paper examines how forest fires affect REDD+ schemes by compromising carbon permanence; undermining the potential of sustainable forest management and reforestation and regeneration activities in tropical countries; and threatening the additional benefits that can be accrued from REDD+, including biodiversity conservation and rural poverty alleviation. Narrowly focusing on avoiding deforestation, the sustainable management of forests or regeneration schemes will not always guarantee protection from fire occurrence, and investments in tropical forests may ultimately fail to achieve long-term emission reductions unless they also reduce the risk of forest fires. Integrating forest fire reduction into REDD+ presents many challenges, requiring: changes in agricultural practices that take place outside of the remaining forests; the monitoring and prediction of spatio-temporal patterns of forest fires across whole biomes; guarantees of additionality; avoiding leakage of fire-dependent agriculture; ensuring that responsibilities for fire management are fairly distributed; protection for rural livelihoods; and that any new activities result in positive outcomes for local people. MenosFires are increasingly responsible for forest degradation in the humid tropics due to the expansion of fire-dependent agriculture, fragmentation, intensive logging practices and severe droughts. However, these forest fires have been largely overlooked by negotiations for Reducing Emissions from Deforestation and Degradation (REDD+). This paper examines how forest fires affect REDD+ schemes by compromising carbon permanence; undermining the potential of sustainable forest management and reforestation and regeneration activities in tropical countries; and threatening the additional benefits that can be accrued from REDD+, including biodiversity conservation and rural poverty alleviation. Narrowly focusing on avoiding deforestation, the sustainable management of forests or regeneration schemes will not always guarantee protection from fire occurrence, and investments in tropical forests may ultimately fail to achieve long-term emission reductions unless they also reduce the risk of forest fires. Integrating forest fire reduction into REDD+ presents many challenges, requiring: changes in agricultural practices that take place outside of the remaining forests; the monitoring and prediction of spatio-temporal patterns of forest fires across whole biomes; guarantees of additionality; avoiding leakage of fire-dependent agriculture; ensuring that responsibilities for fire management are fairly distributed; protection for rural livelihoods; and that any new activities result in positi... Mostrar Tudo |
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Thesagro: |
Biodiversidade; Ecossistema; Floresta; Fogo. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02334naa a2200289 a 4500
001 1943399
005 2022-11-10
008 2012 bl uuuu u00u1 u #d
024 7 $ahttp://dx.doi.org/10.1016/j.biocon.2012.03.034$2DOI
100 1 $aBARLOW, J.
245 $aThe critical importance of considering fire in REDD+ programs.$h[electronic resource]
260 $c2012
520 $aFires are increasingly responsible for forest degradation in the humid tropics due to the expansion of fire-dependent agriculture, fragmentation, intensive logging practices and severe droughts. However, these forest fires have been largely overlooked by negotiations for Reducing Emissions from Deforestation and Degradation (REDD+). This paper examines how forest fires affect REDD+ schemes by compromising carbon permanence; undermining the potential of sustainable forest management and reforestation and regeneration activities in tropical countries; and threatening the additional benefits that can be accrued from REDD+, including biodiversity conservation and rural poverty alleviation. Narrowly focusing on avoiding deforestation, the sustainable management of forests or regeneration schemes will not always guarantee protection from fire occurrence, and investments in tropical forests may ultimately fail to achieve long-term emission reductions unless they also reduce the risk of forest fires. Integrating forest fire reduction into REDD+ presents many challenges, requiring: changes in agricultural practices that take place outside of the remaining forests; the monitoring and prediction of spatio-temporal patterns of forest fires across whole biomes; guarantees of additionality; avoiding leakage of fire-dependent agriculture; ensuring that responsibilities for fire management are fairly distributed; protection for rural livelihoods; and that any new activities result in positive outcomes for local people.
650 $aBiodiversidade
650 $aEcossistema
650 $aFloresta
650 $aFogo
700 1 $aPARRY, L.
700 1 $aGARDNER, T. A.
700 1 $aFERREIRA, J. N.
700 1 $aARAGÃO, L. E. O. C.
700 1 $aCARMENTA, R.
700 1 $aBERENGUER, E.
700 1 $aVIEIRA, I. C. G.
700 1 $aSOUZA, C.
700 1 $aCOCHRANE, M. A.
773 $tBiological Conservation$gv. 154, p. 1-8, Oct. 2012.
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Registro original: |
Embrapa Amazônia Oriental (CPATU) |
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Biblioteca(s): |
Embrapa Café. |
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Data corrente: |
17/03/2016 |
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Data da última atualização: |
17/03/2016 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
HOTT, M. C.; CARVALHO, L. M. T. de; ANTUNES, M. A. H.; ALVES, H. M. R.; ROCHA, W. S. D. da. |
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Afiliação: |
MARCOS CICARINI HOTT, CNPGL; LUÍS MARCELO TAVARES DE CARVALHO, UFLA/DCF; MAURO ANTONIO HOMEM ANTUNES, UFRRJ/DENG; HELENA MARIA RAMOS ALVES, SAPC; WADSON SEBASTIAO DUARTE DA ROCHA, CNPGL. |
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Título: |
Estimativa de expoentes de Hurst para séries temporais de imagens NDVI / MODIS em regiões de pastagens da Zona da Mata de Minas Gerais. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 4065-4072 , 2015 |
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Idioma: |
Português |
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Conteúdo: |
The Zona da Mata region in Minas Gerais State is configured in a traditional dairy production chain, whose grasslands have subtle dynamics in their phenology, and currently there is a strong concern regarding degradation and vegetative development trends. The Hurst exponents (H) are a potential tool to describe the evolution scale of time series, sensitive to short- and long-term memory. This study was aimed at developing an algorithm in the GIS that presents reliable results of the Hurst exponents for NDVI from MODIS imagery, using binary blocks method applied to R/S analysis (range rescaled) in the Gretl, an econometrics and time series software. We produced H values identical to those estimated H for time series of pixels extracted from the satellite imagery dataset, processed in the Gretl. In order to estimate and evaluate the area of occurrence of the H exponents classes for imagery over time, we performed a processing highlighting the slightly trend of low sustainability of grasslands (H class 0.52 to 0.65), with 833,768 ha (68.71%), and moderate sustainability or persistence (H class 0.65 to 0.70), with 162,068 ha. We emphasized the fact that the estimated class between 0.37 and 0.52 resulted in a considerable area of grasslands, with about 135,000 ha, possibly indicating that this region faces remarkable changes, such as degradation, crop rotation, fallow or others land use changes. Despite the long processing time to estimate H, we highlight the usefulness of this methodology for detection of change trends in the short- and long-term periods. MenosThe Zona da Mata region in Minas Gerais State is configured in a traditional dairy production chain, whose grasslands have subtle dynamics in their phenology, and currently there is a strong concern regarding degradation and vegetative development trends. The Hurst exponents (H) are a potential tool to describe the evolution scale of time series, sensitive to short- and long-term memory. This study was aimed at developing an algorithm in the GIS that presents reliable results of the Hurst exponents for NDVI from MODIS imagery, using binary blocks method applied to R/S analysis (range rescaled) in the Gretl, an econometrics and time series software. We produced H values identical to those estimated H for time series of pixels extracted from the satellite imagery dataset, processed in the Gretl. In order to estimate and evaluate the area of occurrence of the H exponents classes for imagery over time, we performed a processing highlighting the slightly trend of low sustainability of grasslands (H class 0.52 to 0.65), with 833,768 ha (68.71%), and moderate sustainability or persistence (H class 0.65 to 0.70), with 162,068 ha. We emphasized the fact that the estimated class between 0.37 and 0.52 resulted in a considerable area of grasslands, with about 135,000 ha, possibly indicating that this region faces remarkable changes, such as degradation, crop rotation, fallow or others land use changes. Despite the long processing time to estimate H, we highlight the usefulness of this m... Mostrar Tudo |
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Palavras-Chave: |
Expoentes de hurst; Hurst exponents; Serie temporal. |
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Thesagro: |
Pastagem. |
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Thesaurus NAL: |
Grasslands; Moderate resolution imaging spectroradiometer. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/141358/1/Estimativa-de-expoentes-de-hurst.pdf
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Marc: |
LEADER 02427nam a2200229 a 4500
001 2041272
005 2016-03-17
008 2015 bl uuuu u00u1 u #d
100 1 $aHOTT, M. C.
245 $aEstimativa de expoentes de Hurst para séries temporais de imagens NDVI / MODIS em regiões de pastagens da Zona da Mata de Minas Gerais.$h[electronic resource]
260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 4065-4072 $c2015
520 $aThe Zona da Mata region in Minas Gerais State is configured in a traditional dairy production chain, whose grasslands have subtle dynamics in their phenology, and currently there is a strong concern regarding degradation and vegetative development trends. The Hurst exponents (H) are a potential tool to describe the evolution scale of time series, sensitive to short- and long-term memory. This study was aimed at developing an algorithm in the GIS that presents reliable results of the Hurst exponents for NDVI from MODIS imagery, using binary blocks method applied to R/S analysis (range rescaled) in the Gretl, an econometrics and time series software. We produced H values identical to those estimated H for time series of pixels extracted from the satellite imagery dataset, processed in the Gretl. In order to estimate and evaluate the area of occurrence of the H exponents classes for imagery over time, we performed a processing highlighting the slightly trend of low sustainability of grasslands (H class 0.52 to 0.65), with 833,768 ha (68.71%), and moderate sustainability or persistence (H class 0.65 to 0.70), with 162,068 ha. We emphasized the fact that the estimated class between 0.37 and 0.52 resulted in a considerable area of grasslands, with about 135,000 ha, possibly indicating that this region faces remarkable changes, such as degradation, crop rotation, fallow or others land use changes. Despite the long processing time to estimate H, we highlight the usefulness of this methodology for detection of change trends in the short- and long-term periods.
650 $aGrasslands
650 $aModerate resolution imaging spectroradiometer
650 $aPastagem
653 $aExpoentes de hurst
653 $aHurst exponents
653 $aSerie temporal
700 1 $aCARVALHO, L. M. T. de
700 1 $aANTUNES, M. A. H.
700 1 $aALVES, H. M. R.
700 1 $aROCHA, W. S. D. da
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