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| 1. |  | BATISTA, D. P. C.; OLIVEIRA, I. N. de; RIBEIRO, A. R. B.; SANTOS MAGALHAES, N. S.; SENA FILHO, J. G. de; TEODORO, A. V.; GRILLO, L. A. M.; ALMEIDA, R. S. de; DORNELAS, C. B. Encapsulation and release of Beauveria bassiana from alginate?bentonite nanocomposite. RSC Advances: anN International Journal to Further the Chemical Siences, v. 7, p. 26468?26477, 2017.| Biblioteca(s): Embrapa Tabuleiros Costeiros. |
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Registro Completo
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Biblioteca(s): |
Embrapa Solos. |
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Data corrente: |
22/10/2015 |
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Data da última atualização: |
21/01/2016 |
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Tipo da produção científica: |
Resumo em Anais de Congresso |
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Autoria: |
SIMÕES, M.; FERRAZ, R.; PEREIRA, S.; ALANIZ, N.; ALVEZ, A. |
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Afiliação: |
MARGARETH SIMOES, CNPS; RODRIGO PECANHA DEMONTE FERRAZ, CNPS; S. PEREIRA, CNPS; N. ALANIZ, CONABIO; A. ALVEZ, UERJ. |
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Título: |
Scenarios of land use change and impacts on ecosystem services in the Brazilian Amazon. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
In: CONGRESO INTERNACIONAL DE SERVICIOS ECOSISTÉMICOS EN LOS NEOTRÓPICOS, 4., 2015, Mar del Plata. De la investigación a la acción: libro de resúmenes. Mar del Plata: GEAP, 2015. |
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Idioma: |
Inglês |
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Conteúdo: |
Large-scale and high-intensity land use changes (LUC) are intrinsically related to the loss of biodiversity, and decreased integrity of natural systems that help maintain ecosystem services (ES). Landscape-scale patterns of land use (LU) can be correlated with different levels of ecosystem integrity (EI) and consequently with the potential ES provision. Once the relations between LU patterns and EI/ES are established it is possible to predict future environmental services provision considering different LUC scenarios. The objective of this work is to present a methodological approach and preliminary results of the prediction of future impacts on ES based on LUC scenarios for the Brazilian Amazon. The methodological approach used was to integrate: (i) Ecosystem Integrity Spatial Model (EISM) based on Bayesian probabilistic distribution of evidences using a Remote Sensing dataset. The validation was based on knowledge and field controls; (ii) Correlation of EISM and ES Models: (iia) Evapotranspiration Fluxes (ET) - MODIS/MOD16; (iib) Aboveground Carbon Stocks Spatial Model (WHRC); and (iii) Amazon legal region LUC-SSPs scenarios (Adapted from the IPCC-SSPs) - Clue Model (1 km2 pixel; projected for 2050). The preliminary results were promising and showed the decrease of ecosystem integrity related with each LUC scenario considered, allowing estimates of the impacts on the ecosystem services studied: water fluxes (ET) and aboveground carbon stocks. This work is part of ROBIN Project (EU- FP7Edict.ENV.2011.2.1.4-1). MenosLarge-scale and high-intensity land use changes (LUC) are intrinsically related to the loss of biodiversity, and decreased integrity of natural systems that help maintain ecosystem services (ES). Landscape-scale patterns of land use (LU) can be correlated with different levels of ecosystem integrity (EI) and consequently with the potential ES provision. Once the relations between LU patterns and EI/ES are established it is possible to predict future environmental services provision considering different LUC scenarios. The objective of this work is to present a methodological approach and preliminary results of the prediction of future impacts on ES based on LUC scenarios for the Brazilian Amazon. The methodological approach used was to integrate: (i) Ecosystem Integrity Spatial Model (EISM) based on Bayesian probabilistic distribution of evidences using a Remote Sensing dataset. The validation was based on knowledge and field controls; (ii) Correlation of EISM and ES Models: (iia) Evapotranspiration Fluxes (ET) - MODIS/MOD16; (iib) Aboveground Carbon Stocks Spatial Model (WHRC); and (iii) Amazon legal region LUC-SSPs scenarios (Adapted from the IPCC-SSPs) - Clue Model (1 km2 pixel; projected for 2050). The preliminary results were promising and showed the decrease of ecosystem integrity related with each LUC scenario considered, allowing estimates of the impacts on the ecosystem services studied: water fluxes (ET) and aboveground carbon stocks. This work is part of ROBIN Pro... Mostrar Tudo |
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Palavras-Chave: |
Amazônia brasileira; Mudanças no uso da terra; Serviços ecossistêmicos. |
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Categoria do assunto: |
P Recursos Naturais, Ciências Ambientais e da Terra |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/131628/1/2015-064.pdf
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Marc: |
LEADER 02258nam a2200193 a 4500
001 2027038
005 2016-01-21
008 2015 bl uuuu u00u1 u #d
100 1 $aSIMÕES, M.
245 $aScenarios of land use change and impacts on ecosystem services in the Brazilian Amazon.$h[electronic resource]
260 $aIn: CONGRESO INTERNACIONAL DE SERVICIOS ECOSISTÉMICOS EN LOS NEOTRÓPICOS, 4., 2015, Mar del Plata. De la investigación a la acción: libro de resúmenes. Mar del Plata: GEAP$c2015
520 $aLarge-scale and high-intensity land use changes (LUC) are intrinsically related to the loss of biodiversity, and decreased integrity of natural systems that help maintain ecosystem services (ES). Landscape-scale patterns of land use (LU) can be correlated with different levels of ecosystem integrity (EI) and consequently with the potential ES provision. Once the relations between LU patterns and EI/ES are established it is possible to predict future environmental services provision considering different LUC scenarios. The objective of this work is to present a methodological approach and preliminary results of the prediction of future impacts on ES based on LUC scenarios for the Brazilian Amazon. The methodological approach used was to integrate: (i) Ecosystem Integrity Spatial Model (EISM) based on Bayesian probabilistic distribution of evidences using a Remote Sensing dataset. The validation was based on knowledge and field controls; (ii) Correlation of EISM and ES Models: (iia) Evapotranspiration Fluxes (ET) - MODIS/MOD16; (iib) Aboveground Carbon Stocks Spatial Model (WHRC); and (iii) Amazon legal region LUC-SSPs scenarios (Adapted from the IPCC-SSPs) - Clue Model (1 km2 pixel; projected for 2050). The preliminary results were promising and showed the decrease of ecosystem integrity related with each LUC scenario considered, allowing estimates of the impacts on the ecosystem services studied: water fluxes (ET) and aboveground carbon stocks. This work is part of ROBIN Project (EU- FP7Edict.ENV.2011.2.1.4-1).
653 $aAmazônia brasileira
653 $aMudanças no uso da terra
653 $aServiços ecossistêmicos
700 1 $aFERRAZ, R.
700 1 $aPEREIRA, S.
700 1 $aALANIZ, N.
700 1 $aALVEZ, A.
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Embrapa Solos (CNPS) |
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