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| 121. |  | SIMÕES, M.; OLIVEIRA, S.; GONÇALVES, H.; FERRAZ, R.; AGLIO, M.; MANZATTO, C. Organização da informação de solos do Brasil: banco de dados de solos e Geoportal com acesso a mapas digitais via internet. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 35., 2015, Natal. O solo e suas múltiplas funções: anais. Natal: Sociedade Brasileira de Ciência do Solo, 2015.| Biblioteca(s): Embrapa Solos. |
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| 122. | | MARTIN NETO, L.; MILORI, D. M. B. P.; SILVA, W. T. L. da; SIMÕES, M. L. Medidas do conteúdo e da meia vida de carbono no solo: contribuição para certificação de sequestro de carbono no solo. In: SIMPÓSIO SOBRE INOVAÇÃO E CRIATIVIDADE CIENTÍFICA NA EMBRAPA, I., 2008, Brasília, DF. Resumos... Brasília, DF: Embrapa, 2008. Disponível em: . Acesso em: 09 fev. 2009.| Biblioteca(s): Embrapa Instrumentação. |
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| 123. | | MENDES, C. A. B.; COUTINHO, H. L. C.; SIMÕES, M.; LOUREIRO, W.; TORRECILHA, S. Landscape structure as input to water resources planning. In: INTERNATIONAL CONFERENCE ON LAND DEGRADATION 3., AND MEETING OF THE IUSS SUBCOMISSION C - SOIL AND WATER CONSERVATION, 2001, Rio de Janeiro. Conference guide, program and book of abstracts... Rio de Janeiro: Embrapa; IUSS; IAC; SBCS, 2001. p.162| Biblioteca(s): Embrapa Solos. |
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| 126. | | SIMÕES, M.; FERRAZ, R.; VERWEIJ, P.; ALVEZ, A.; EQUIHUAL, M.; MAQUEO, O. Integridade ecossistêmica da Amazônia brasileira através do uso de redes bayesianas e suas relações com os serviços ecossistêmicos. In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 17., 2015, João Pessoa. Anais... São José dos Campos: INPE, 2015. p. 5240-5247.| Biblioteca(s): Embrapa Solos. |
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| 128. | | FERRAZ, R. P. D.; SIMÕES, M. G.; VERWEIJ, P.; EQUIHUAL, M.; ALVEZ, A. Influence of the land use changes and biodiversity loss in evapotranspiration fluxes regulation in Amazon ecosystem. In: CONFERENCE OF THE ECOSYSTEM SERVICES PARTNERSHIP, 7., 2014, San José, CR. Local action for the common good: book of abstracts. San José, CR: [s.n.], 2014.| Biblioteca(s): Embrapa Solos. |
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| 129. | | SOUZA, G. B.; SIMÕES, M. L.; GONZÁLES-PÉREZ, M.; MARTIN NETO, L.; NOGUEIRA, A. R. A. Influência do método de secagem em amostras de silagem de milho: avaliação e caracterização empregando espectroscopia de EPR e FTIR. In: REUNIÃO ANUAL DA SOCIEDADE BRASILEIRA DE QUÍMICA, 25., 2002, Poços de Caldas. Livro de resumos... [Poços de Caldas]: SBQ, 2002. não paginado, ref. QA-001.| Biblioteca(s): Embrapa Instrumentação. |
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| 136. | | SANTOS, L. M. dos; SIMOES, M. L.; MONTES, C. R.; MELFI, A. J.; MARTIN NETO, L. Viabilidade do emprego de ácido fluorídrico 10% para a remoção de íons paramagnéticos em amostras de solos e suas respectivas frações físicas. Eclética Química, Araraquara, v. 35, n. 3, p. 55-60, 2010.| Biblioteca(s): Embrapa Instrumentação. |
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| 138. | | SIMÕES, M.; FERRAZ, R.; VERWEIJ, P.; EQUIHUAL, M.; MAQUEO, O.; ALVES, A. Mapping the brazilian Amazon ecosystem integrity: a bayesian spatial modelling approach. In: INTERNATIONAL CONFERENCE ON EARTH SCIENCE & CLIMATE CHANGE, 4., 2015, Alicante. Proceedings... Los Angeles: OMICS International, 2015.| Biblioteca(s): Embrapa Solos. |
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| 139. | | PEREIRA, W. V. S.; RIBEIRO, L. M.; VIEIRA, L. M.; MERCADANTE-SIMÕES, M.O. Microenxertia interespecífica ex vitro em maracujazeiros. Pesquisa Agropecuária Brasileira, Brasília, DF, v. 44, n. 5, p. 446-453, maio 2009 Título em inglês: Ex vitro interspecific micrografting in passionflower.| Biblioteca(s): Embrapa Unidades Centrais. |
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 | Acesso ao texto completo restrito à biblioteca da Embrapa Roraima. Para informações adicionais entre em contato com cpafrr.biblioteca@embrapa.br. |
Registro Completo
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Biblioteca(s): |
Embrapa Roraima. |
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Data corrente: |
17/01/2018 |
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Data da última atualização: |
17/01/2018 |
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Tipo da produção científica: |
Artigo em Anais de Congresso |
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Autoria: |
FERRAZ, R. P. D.; SIMÕES, M.; ALVES, A. O.; XAUD, H. A. M. |
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Afiliação: |
RODRIGO PECANHA DEMONTE FERRAZ, CNPS; MARGARETH GONCALVES SIMOES, CNPS; ANDREI OLAK ALVES, UERJ; HARON ABRAHIM MAGALHAES XAUD, CPAF-Roraima. |
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Título: |
Use of remote sensing to assess ecosystem integrity of the Brazilian Amazon rainforest: a Bayesian approach. |
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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. p. 7923-7929. |
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Idioma: |
Inglês |
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Conteúdo: |
Biodiversity supports many ecosystem services that are very important for climate change mitigation and adaptation. There is a functional link between the tropical forest ecosystem biodiversity and their capacity for carbon uptake and storage as well as regulation of evapotranspiration flux. Nevertheless, land use changes and agriculture expansion reduce the ecosystems integrity modifying the functions related directly to the ecosystem services. The relationship between biodiversity loss and the impacts on ecosystem services of tropical forests, in face of the ongoing global climate change needs to be better quantified. In this work, we considered the concept of Ecosystem Integrity (EI), which represents the connection of biodiversity with the ability of ecosystems to sustain the processes of self-organization. Bayesian Networks (BBN-Bayesian Belief Network) can provide metrics for the generation of Ecosystem Integrity Index, from the training of probabilistic relationships of evidence obtained through Remote Sensing data. The objective of this work is to present the methodological approach and the results of EI mapping, elaborated at the regional scale for different patterns of phyto-ecologic landscape of the Brazilian Amazon. The modelling was based on learning from the parameters (data-driven model) through the use of the Expectation Maximization algorithm. For the validation of this probabilistic model, an evaluation was carried out in controlled areas with field observation by experts. Results showed that it is possible to generate an Ecosystem Integrity Index at regional scale using a probabilistic model based on Bayesian Belief Networks (BBN), and totally free web-available satellite products. MenosBiodiversity supports many ecosystem services that are very important for climate change mitigation and adaptation. There is a functional link between the tropical forest ecosystem biodiversity and their capacity for carbon uptake and storage as well as regulation of evapotranspiration flux. Nevertheless, land use changes and agriculture expansion reduce the ecosystems integrity modifying the functions related directly to the ecosystem services. The relationship between biodiversity loss and the impacts on ecosystem services of tropical forests, in face of the ongoing global climate change needs to be better quantified. In this work, we considered the concept of Ecosystem Integrity (EI), which represents the connection of biodiversity with the ability of ecosystems to sustain the processes of self-organization. Bayesian Networks (BBN-Bayesian Belief Network) can provide metrics for the generation of Ecosystem Integrity Index, from the training of probabilistic relationships of evidence obtained through Remote Sensing data. The objective of this work is to present the methodological approach and the results of EI mapping, elaborated at the regional scale for different patterns of phyto-ecologic landscape of the Brazilian Amazon. The modelling was based on learning from the parameters (data-driven model) through the use of the Expectation Maximization algorithm. For the validation of this probabilistic model, an evaluation was carried out in controlled areas with field observa... Mostrar Tudo |
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Palavras-Chave: |
Modelos espaciais; Mudança de uso da terra; Redes Bayesianas. |
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Thesagro: |
Biodiversidade. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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Marc: |
LEADER 02417naa a2200205 a 4500
001 2085623
005 2018-01-17
008 2017 bl --- 0-- u #d
100 1 $aFERRAZ, R. P. D.
245 $aUse of remote sensing to assess ecosystem integrity of the Brazilian Amazon rainforest$ba Bayesian approach.
260 $c2017
520 $aBiodiversity supports many ecosystem services that are very important for climate change mitigation and adaptation. There is a functional link between the tropical forest ecosystem biodiversity and their capacity for carbon uptake and storage as well as regulation of evapotranspiration flux. Nevertheless, land use changes and agriculture expansion reduce the ecosystems integrity modifying the functions related directly to the ecosystem services. The relationship between biodiversity loss and the impacts on ecosystem services of tropical forests, in face of the ongoing global climate change needs to be better quantified. In this work, we considered the concept of Ecosystem Integrity (EI), which represents the connection of biodiversity with the ability of ecosystems to sustain the processes of self-organization. Bayesian Networks (BBN-Bayesian Belief Network) can provide metrics for the generation of Ecosystem Integrity Index, from the training of probabilistic relationships of evidence obtained through Remote Sensing data. The objective of this work is to present the methodological approach and the results of EI mapping, elaborated at the regional scale for different patterns of phyto-ecologic landscape of the Brazilian Amazon. The modelling was based on learning from the parameters (data-driven model) through the use of the Expectation Maximization algorithm. For the validation of this probabilistic model, an evaluation was carried out in controlled areas with field observation by experts. Results showed that it is possible to generate an Ecosystem Integrity Index at regional scale using a probabilistic model based on Bayesian Belief Networks (BBN), and totally free web-available satellite products.
650 $aBiodiversidade
653 $aModelos espaciais
653 $aMudança de uso da terra
653 $aRedes Bayesianas
700 1 $aSIMÕES, M.
700 1 $aALVES, A. O.
700 1 $aXAUD, H. A. M.
773 $tIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 7923-7929.
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