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Registros recuperados : 393 | |
81. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | 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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82. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | 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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88. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | MARTIN-NETO, L.; MILORI, D. M. B. P.; SILVA, W. T. L. da; SIMOES, M. L. EPR, FTIR, RAMAN, UV-visible absorption, and fluorescence spectroscopies in studies of nom. In: SENESI, N.; XING, B.; HUANG, P. M. (Ed.). Biophysico-chemical processes involving natural nonliving organic matter in environmental systems. Hoboken: John Wiley & Sons, c2009. p. 651-727. Biblioteca(s): Embrapa Instrumentação. |
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89. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SIMÕES, M. A.; VASCONCELOS, J. M.; MANFIO, C. E.; RAPOSO, A. Estabelecimento in vitro de pimenta de macaco utilizando sementes. In: CONGRESSO BRASILEIRO DE RECURSOS GENÉTICOS, 2., 2012, Belém, PA. Anais... Brasília, DF: Sociedade Brasileira de Recursos Genéticos, 2012. 4 p. 1 CD-ROM. Biblioteca(s): Embrapa Acre. |
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94. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | ASSIS, O. B. G.; SIMÕES, M. L.; CLARO, L. C.; MARTIN NETO, L.; COLNAGO, L. A. Filtros bioativados por enzimas e sua avaliação na remoção de matéria orgânica em água. In: ENCONTRO BRASILEIRO SOBRE SUBSTÂNCIAS HÚMICAS, 2., nov. 1997, São Carlos, SP. Anais...[Resumos...]. São Carlos: Embrapa-CNPDIA, 1997. p. 178. Biblioteca(s): Embrapa Instrumentação. |
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95. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SANTOS, L. M. dos; SIMÕES, M. L.; MONTES, C. L.; MELFI, A. J.; MARTIN-NETO, L. Estudo da viabilidade do tratamento com ácido fluorídrico 10% para remoção de íons paramagnéticos em amostras de solos irrigados com efluente de esgoto tratado e suas respectivas frações físicas. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 31., 2007, Gramado, RS. Conquistas e desafios da ciência do solo brasileira. Anais... Porto Alegre: SBCS, 2007. não paginado. 1 CD-ROM. Biblioteca(s): Embrapa Instrumentação. |
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96. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SANTOS, L. M.; SIMOES, M. L.; MONTES, C. R.; MELFI, A. J.; MARTIN-NETO, L. Estudo da viabilidade do tratamento com ácido fluorídrico 10% para remoção de íons paramagnéticos em amostras de solos irrigados com efluente de esgoto tratado e suas respectivas frações físicas. In: CONGRESSO BRASILEIRO DE CIÊNCIA DO SOLO, 31., 2007, Gramado, RS. Conquistas e desafios da ciência do solo brasileira. Livro de resumos... Porto Alegre: SBCS, 2007. p. 201 Biblioteca(s): Embrapa Instrumentação. |
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99. | ![Imagem marcado/desmarcado](/consulta/web/img/desmarcado.png) | SIMÕES, M. L.; VAZ, C. M. P.; SAAB, S. da C.; MARTIN-NETO, L. Avaliação do húmus de minhoca como agente de descontaminação do herbicida atrazina: análises espectroscópicas e polarográficas. In: SIMPÓSIO NACIONAL DE INSTRUMENTAÇÃO AGROPECUÁRIA, 2., 1998, São Carlos. Anais do II SIAGRO. São Carlos: Embrapa Instrumentação Agropecuária, 2000. p. 304-312. Editores: Paulo Estevão Cruvinel, Luiz Alberto Colnago, André Torre-Neto. Biblioteca(s): Embrapa Instrumentação. |
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Registros recuperados : 393 | |
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Registro Completo
Biblioteca(s): |
Embrapa Solos. |
Data corrente: |
28/08/2017 |
Data da última atualização: |
11/11/2021 |
Tipo da produção científica: |
Artigo em Anais de Congresso |
Autoria: |
FERRAZ, R. P. D.; SIMÕES, M.; ALVES, A. O.; XAUD, H. A. M. |
Afiliação: |
RODRIGO PECANHA DEMONTE FERRAZ, CNPS; MARGARETH GONCALVES SIMOES, CNPS; ANDREI OLAK ALVES, UERJ; HARON ABRAHIM MAGALHAES XAUD, CPAF-Roraima. |
Título: |
Use of remote sensing to assess ecosystem integrity of the Brazilian Amazon rainforest: a Bayesian approach. |
Ano de publicação: |
2017 |
Fonte/Imprenta: |
In: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 7923-7929. |
Idioma: |
Inglês |
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 |
Palavras-Chave: |
Modelos espaciais; Mudança de uso da terra; Redes Bayesianas. |
Thesagro: |
Biodiversidade. |
Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/163066/1/2017-017.pdf
|
Marc: |
LEADER 02425nam a2200193 a 4500 001 2074521 005 2021-11-11 008 2017 bl uuuu u00u1 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.$h[electronic resource] 260 $aIn: SIMPÓSIO BRASILEIRO DE SENSORIAMENTO REMOTO, 18., 2017, Santos. Anais... São José dos Campos: Inpe, 2017. p. 7923-7929.$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.
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