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Environmental and socioeconomic impacts associated with the production and consumption of sugarcane ethanol in south central Brazil

Abstract

This research project intends to cover a wide range of topics related to the impacts of the sugarcane ethanol production and consumption. It initially aims to map the sugarcane cultivated areas in South Central Brazil, so as to support the generation of scenarios related to plausible spatial patterns for the sugarcane crops expansion in the short- and medium-terms. These scenarios will drive biosphere-atmosphere interaction models, designed to assess physical-chemical changes in the atmosphere related to the conversion of natural vegetation cover, agricultural crops, and pasture land into sugarcane culture. The quantitative outcomes of these models in terms of green-house gases, toxic primary or secondary gases, and aerosols will be used to estimate the corresponding impacts of such land cover changes in human health. In addition to this, econometric and economic models will be conceived to analyze the resulting changes of the massive production and consumption of sugarcane ethanol in the urban network and infrastructure, in the natural environment assets, in the social well-being, in the jobs market and related scientific-technological scenario, in the agri-business economics, in agricultural financing policies, in the commodities market and food security (at national level), and in the trade balance. The knowledge gained with this work will shed light on the complex relationships among the sugarcane production and consumption and their related environmental and socioeconomic impacts, providing thus a strategic contribution to public policies and actions aiming at maximizing the benefits of the sugarcane ethanol and minimizing at the same time its undesirable side effects and externalities. (AU)

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Scientific publications (13)
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
ADAMI, MARCOS; MELLO, MARCIO PUPIN; AGUIAR, DANIEL ALVES; THEODOR RUDORFF, BERNARDO FRIEDRICH; DE SOUZA, ARLEY FERREIRA. A Web Platform Development to Perform Thematic Accuracy Assessment of Sugarcane Mapping in South-Central Brazil. REMOTE SENSING, v. 4, n. 10, p. 3201-3214, . (08/56252-0)
AGUIAR, DANIEL ALVES; THEODOR RUDORFF, BERNARDO FRIEDRICH; SILVA, WAGNER FERNANDO; ADAMI, MARCOS; MELLO, MARCIO PUPIN. Remote Sensing Images in Support of Environmental Protocol: Monitoring the Sugarcane Harvest in Sao Paulo State, Brazil. REMOTE SENSING, v. 3, n. 12, p. 2682-2703, . (08/56252-0)
MELLO, MARCIO PUPIN; RISSO, JOEL; ATZBERGER, CLEMENT; APLIN, PAUL; PEBESMA, EDZER; OLIVEIRA VIEIRA, CARLOS ANTONIO; THEODOR RUDORFF, BERNARDO FRIEDRICH. Bayesian Networks for Raster Data (BayNeRD): Plausible Reasoning from Observations. REMOTE SENSING, v. 5, n. 11, p. 5999-6025, . (08/56252-0)
CAIRO, CAROLLINE TRESSMANN; FARIA BARBOSA, CLAUDIO CLEMENTE; LEAO DE MORAES NOVO, EVLYN MARCIA; CALIJURI, MARIA DO CARMO. Spatial and seasonal variation in diffuse attenuation coefficients of downward irradiance at Ibitinga Reservoir, So Paulo, Brazil. Hydrobiologia, v. 784, n. 1, p. 265-282, . (08/56252-0)
SCOVRONICK, NOAH; FRANCA, DANIELA; ALONSO, MARCELO; ALMEIDA, CLAUDIA; LONGO, KARLA; FREITAS, SAULO; RUDORFF, BERNARDO; WILKINSON, PAUL. Air Quality and Health Impacts of Future Ethanol Production and Use in Sao Paulo State, Brazil. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH, v. 13, n. 7, . (08/56252-0)
MELLO, MARCIO PUPIN; VIEIRA, CARLOS A. O.; RUDORFF, BERNARDO F. T.; APLIN, PAUL; SANTOS, RAFAEL D. C.; AGUIAR, DANIEL A.. STARS: A New Method for Multitemporal Remote Sensing. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, v. 51, n. 4, 1, SI, p. 1897-1913, . (08/56252-0)
FREIRE DA SILVA, EDSON FILISBINO; LEAO DE MORAES NOVO, EVLYN MARCIA; LOBO, FELIPE DE LUCIA; FARIA BARBOSA, CLAUDIO CLEMENTE; CAIRO, CAROLLINE TRESSMANN; NOERNBERG, MAURICIO ALMEIDA; DA SILVA ROTTA, LUIZ HENRIQUE. A machine learning approach for monitoring Brazilian optical water types using Sentinel-2 MSI. REMOTE SENSING APPLICATIONS-SOCIETY AND ENVIRONMENT, v. 23, . (12/19821-1, 13/09045-7, 14/23903-9, 08/56252-0)
CAIRO, CAROLLINE; BARBOSA, CLAUDIO; LOBO, FELIPE; NOVO, EVLYN; CARLOS, FELIPE; MACIEL, DANIEL; FLORES JUNIOR, ROGERIO; SILVA, EDSON; CURTARELLI, VICTOR. Hybrid Chlorophyll-a Algorithm for Assessing Trophic States of a Tropical Brazilian Reservoir Based on MSI/Sentinel-2 Data. REMOTE SENSING, v. 12, n. 1, . (08/56252-0)
MACIEL, DANIEL ANDRADE; FARIA BARBOSA, CLAUDIO CLEMENTE; LEAO DE MORAES NOVO, EVLYN MARCIA; FLORES JUNIOR, ROGERIO; BEGLIOMINI, FELIPE NINCAO. Water clarity in Brazilian water assessed using Sentinel-2 and machine learning methods. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING, v. 182, p. 134-152, . (19/15984-2, 11/19523-8, 11/23594-8, 03/06999-8, 08/56252-0, 12/19821-1, 18/12083-1, 13/09045-7, 14/23903-9)
DA SILVA, EDSON FILISBINO FREIRE; NOVO, EVLYN MARCIA LEAO DE MORAES; LOBO, FELIPE DE LUCIA; BARBOSA, CLAUDIO CLEMENTE FARIA; NOERNBERG, MAURICIO ALMEIDA; ROTTA, LUIZ HENRIQUE DA SILVA; CAIRO, CAROLLINE TRESSMANN; MACIEL, DANIEL ANDRADE; FLORES JUNIOR, ROGERIO. Optical water types found in Brazilian waters. LIMNOLOGY, v. 22, n. 1, . (13/09045-7, 14/23903-9, 12/19821-1, 08/56252-0)
FRANCA, DANIELA; LONGO, KARLA; RUDORFF, BERNARDO; AGUIAR, DANIEL; FREITAS, SAULO; STOCKLER, RAFAEL; PEREIRA, GABRIEL. Pre-harvest sugarcane burning emission inventories based on remote sensing data in the state of Sao Paulo, Brazil. Atmospheric Environment, v. 99, p. 446-456, . (08/56252-0)
FRANCA, DANIELA DE AZEREDO; LONGO, KARLA MARIA; SOARES NETO, TURIBIO GOMES; SANTOS, JOSE CARLOS; FREITAS, SAULO R.; RUDORFF, BERNARDO F. T.; CORTEZ, ELY VIEIRA; ANSELMO, EDSON; CARVALHO, JR., JOAO ANDRADE. Pre-Harvest Sugarcane Burning: Determination of Emission Factors through Laboratory Measurements. ATMOSPHERE, v. 3, n. 1, p. 164-180, . (08/04490-4, 08/56252-0, 02/08964-4)
EVLYN MÁRCIA LEÃO DE MORAES NOVO; LUCIANA DE RESENDE LONDE; CLAUDIO BARBOSA; CARLOS A. S. DE ARAUJO; CAMILO DALELES RENNÓ. Proposta de um indicador de estado trófico a partir de imagens do sensor TM/Landsat. Rev. Ambient. Água, v. 8, n. 3, p. 65-82, . (08/56252-0)

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