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 | Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
27/09/2022 |
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Actualizado : |
27/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BAEZA, S.; VÉLEZ-MARTIN, E.; DE ABELLEYRA, D.; BANCHERO, S.; GALLEGO, F.; SCHIRMBECK, J.; VERON, S.; VALLEJOS, M.; WEBER, E.; OYARZABAL, M.; BARBIERI, A.; PETEK, M.; GUERRA LARA, M.; SARRAILHÉ, S.S.; BALDI, G.; BAGNATO, C.; BRUZZONE, L.; RAMOS, S.; HASENACK, H. |
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Afiliación : |
SANTIAGO BAEZA, Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, 12900, Uruguay; E. VÉLEZ-MARTIN, GeoKarten Consultoria em Tecnologia da Informação Ltda. Roca Sales, Rio Grande do Sul, 95735-000, Brazil; D. DE ABELLEYRA, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; S. BANCHERO, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; F. GALLEGO, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; J. SCHIRMBECK, GeoKarten Consultoria em Tecnologia da Informação Ltda. Roca Sales, Rio Grande do Sul, 95735-000, Brazil; S. VERON, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Bs. As., Argentina;Departamento de Métodos Cuantitativos y Sistemas de Información, LART, IFEVA, Facultad de Agronomía, UBA/CONICET, Bs. As., Argentina; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; E. WEBER, Departamento Interdisciplinar e Programa de Pós-Graduação em Sensoriamento Remoto, Universidade Federal do Rio Grande do Sul, Campus Litoral Norte. Tramandaí, Rio Grande do Sul, 95590-000, Brazil; M. OYARZABAL, Departamento de Métodos Cuantitativos y Sistemas de Información, LART, IFEVA, Facultad de Agronomía, UBA/CONICET, Buenos Aires, Buenos Aires, 1417, Argentina; A. BARBIERI, Departamento de Geografía, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; M. PETEK, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; M. GUERRA LARA, Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis y CONICET, San Luis, San Luis, 5700, Argentina; S. S. SARRAILHÉ, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA) Hurlingham, Buenos Aires, 1686, Argentina; G. BALDI, Instituto de Matemática Aplicada San Luis, Universidad Nacional de San Luis and CONICET, San Luis, San Luis, 5700, Argentina; C. BAGNATO, IRNAD, UNRN, CONICET, Río Negro, San Carlos de Bariloche, 8400, Argentina; L. BRUZZONE, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; S. RAMOS, Departamento de Geografía, Facultad de Ciencias, UdelaR, Montevideo, Montevideo, 11400, Uruguay; H. HASENACK, Departamento de Ecologia, IB e Programa de Pós-Graduação em Agronegócios, CEPAN, Universidade Federal do Rio Grande do Sul. Porto Alegre, Rio Grande do Sul, 91501-970, Brazil. |
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Título : |
Two decades of land cover mapping in the Río de la Plata grassland region: The MapBiomas Pampa initiative. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Remote Sensing Applications: Society and Environment, 2022, Volume 28, Article 100834. doi: https://doi.org/10.1016/j.rsase.2022.100834 |
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ISSN : |
2352-9385 |
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DOI : |
10.1016/j.rsase.2022.100834 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 26 April 2022; Received in revised form 29 August 2022; Accepted 3 September 2022; Available online 8 September 2022.
Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy -- This work has been also partially funded by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811; CSIC I+D 2020_358, FMV_3_2020_1_162279, and FMV_1_2021_1_167032. |
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Contenido : |
ABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels. © 2022 Elsevier B.V. MenosABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or f... Presentar Todo |
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Palabras claves : |
Classification; Grasslands; Land use change; Landsat; Time series. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 03626naa a2200433 a 4500
001 1063583
005 2022-09-27
008 2022 bl uuuu u00u1 u #d
022 $a2352-9385
024 7 $a10.1016/j.rsase.2022.100834$2DOI
100 1 $aBAEZA, S.
245 $aTwo decades of land cover mapping in the Río de la Plata grassland region$bThe MapBiomas Pampa initiative.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 26 April 2022; Received in revised form 29 August 2022; Accepted 3 September 2022; Available online 8 September 2022. Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, UdelaR, Montevideo, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy -- This work has been also partially funded by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811; CSIC I+D 2020_358, FMV_3_2020_1_162279, and FMV_1_2021_1_167032.
520 $aABSTRACT.- The Río de la Plata Grasslands (RPG) region is the largest area of the temperate humid and sub-humid grasslands biome in South America and one of the largest in the world. The region is located on fertile soils, generally very suitable for agricultural development, so it is undergoing an intense land cover change process. Our knowledge of these changes remains incomplete. Most regional-scale studies have been conducted over specific periods, limited subsets of the RGP, coarse resolution and, in general, used land cover classes that are not readily compatible. In this work we described and analyzed the land cover changes in the entire RPG region for the first two decades of the 21st century, especially those related to grasslands loss. We generated annual land cover maps with 30-m resolution that discriminate between 8 categories: native woody formation, forest plantation, swampy areas and flooded grassland, grassland, farming, non-vegetated area, water and non-observed. The map series was evaluated for the years 2001 and 2018 using a completely independent dataset, selected by stratified randomized sampling. Overall accuracy was 73.5% and 77.8% for 2001 and 2018, respectively, with user and producer accuracies that varied between classes and years. In 20 years, RPG region lost, at least, 2.4 million ha of grassland (9% of the remaining grassland area in 2001). Most of these losses are concentrated in Brazil and Uruguay and are associated with new agricultural or forestry areas that increased by 5% and 100%, respectively. Our maps allow a comprehensive understanding of the transformation processes that RPG are undergoing and provide the context on which to explore a large set of hypotheses related to ecosystem structure and functioning. It will also contribute to improving decision-making at both the regional and national levels. © 2022 Elsevier B.V.
653 $aClassification
653 $aGrasslands
653 $aLand use change
653 $aLandsat
653 $aTime series
700 1 $aVÉLEZ-MARTIN, E.
700 1 $aDE ABELLEYRA, D.
700 1 $aBANCHERO, S.
700 1 $aGALLEGO, F.
700 1 $aSCHIRMBECK, J.
700 1 $aVERON, S.
700 1 $aVALLEJOS, M.
700 1 $aWEBER, E.
700 1 $aOYARZABAL, M.
700 1 $aBARBIERI, A.
700 1 $aPETEK, M.
700 1 $aGUERRA LARA, M.
700 1 $aSARRAILHÉ, S.S.
700 1 $aBALDI, G.
700 1 $aBAGNATO, C.
700 1 $aBRUZZONE, L.
700 1 $aRAMOS, S.
700 1 $aHASENACK, H.
773 $tRemote Sensing Applications: Society and Environment, 2022, Volume 28, Article 100834. doi: https://doi.org/10.1016/j.rsase.2022.100834
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Registro original : |
INIA Las Brujas (LB) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
06/04/2017 |
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Actualizado : |
17/12/2017 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
Internacional - -- |
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Autor : |
SOUZA, A.R. LEAL DE; REVILLION, J.P.P.; WAQUIL, P.D.; BELARMINO, L.C.; LANFRANCO, B. |
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Afiliación : |
ANGELA ROZANE LEAL DE SOUZA, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brasil; JEAN PHILIPPE PALMA REVILLION, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brasil; PAULO DABDAB WAQUIL, Universidade Federal do Rio Grande do Sul (UFRGS), Porto Alegre, RS, Brasil; LUIZ CLOVIS BELARMINO, EMBRAPA - Empresa Brasileira de Pesquisa Agropecuária Clima Temperado, Pelotas, RS, Brasil; BRUNO ANTONIO LANFRANCO CRESPO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Economic and accounting evaluation of rice milled production chains in Rio Grande do Sul (Brazil) and Uruguay with application of the Policy Analysis Matrix. [Avaliação econômica e contábil das cadeias produtivas do arroz beneficiado no Rio Grande do Sul (Brasil) e Uruguai com aplicação da Matriz de Análise de Políticas] |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Ciencia Rural, 2017, v.47 (4): 1-7. |
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DOI : |
10.1590/0103-8478cr20151085 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 07.28.15: Approved 10.16.16; Returned by the author 12.19.16. |
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Contenido : |
ABSTRACT:
Rice is the basis of diet for almost half of the world population, and its culture is one of the strategic agroindustrial production chains in the agribusiness environment, in both economic and social levels. Thus, the comparative analysis between the production chains of rice milled in Rio Grande do Sul (RS), Brazil, and Uruguay was mainly motivated by the interest in knowing the differences in the business environment and public policies that impact the competitiveness of this chain in both study regions. Therefore, the objective of this study was to assess the economic efficiency, competitiveness, and effects of public policies of the rice production chain of milled rice in RS (Brazil) relative to Uruguay. The data collected in this study are from the 2011-2012 harvests and indicators were calculated by applying the concepts of the policy analysis matrix (PAM). Results showed that the chains in both study regions were competitive under the existing market and policy conditions, revealed comparative advantage, transferred a high load of resources to other sectors of the economy, and satisfactorily remuneration of the domestic production factors. However, the competitiveness and comparative advantage shown in this study were not due to the encouraging intervention policies, as both production systems pay high taxes.
.-.-.-.-.-.-.-.-.-.-.-.-.-.
RESUMO:
O arroz é a base da alimentação para quase metade da população mundial, e sua cultura se situa como uma das cadeias produtivas agroindustriais estratégicas no ambiente do agronegócio, tanto no nível econômico como no social. Assim, a análise comparativa entre as cadeias produtivas do arroz beneficiado no Rio Grande do Sul (RS), Brasil e no Uruguai foi motivada, principalmente, pelo interesse em conhecer as diferenças no ambiente de negócios e nas políticas públicas que afetam a competitividade desta cadeia nas respectivas regiões. Portanto, o objetivo deste estudo foi avaliar a eficiência econômica, competitividade, e efeitos de políticas públicas da cadeia produtiva de arroz beneficiado
no RS (Brasil) em relação ao Uruguai. Os dados coletados neste estudo são das safras de 2011-2012 e, os indicadores foram calculados aplicando os conceitos da matriz de análise de políticas (MAP). Os resultados mostraram que as cadeias em ambas as regiões de estudo foram competitivas sob as condições de mercado e políticas existentes, evidenciaram vantagem comparativa, transferiram alto volume de recursos para outros setores da economia, remunerando satisfatoriamente os fatores domésticos de produção. Entretanto, tal competitividade e vantagem comparativa demonstrada não se deveram às intervenções políticas de incentivo, pois ambos sistemas de produção pagam elevados tributos. MenosABSTRACT:
Rice is the basis of diet for almost half of the world population, and its culture is one of the strategic agroindustrial production chains in the agribusiness environment, in both economic and social levels. Thus, the comparative analysis between the production chains of rice milled in Rio Grande do Sul (RS), Brazil, and Uruguay was mainly motivated by the interest in knowing the differences in the business environment and public policies that impact the competitiveness of this chain in both study regions. Therefore, the objective of this study was to assess the economic efficiency, competitiveness, and effects of public policies of the rice production chain of milled rice in RS (Brazil) relative to Uruguay. The data collected in this study are from the 2011-2012 harvests and indicators were calculated by applying the concepts of the policy analysis matrix (PAM). Results showed that the chains in both study regions were competitive under the existing market and policy conditions, revealed comparative advantage, transferred a high load of resources to other sectors of the economy, and satisfactorily remuneration of the domestic production factors. However, the competitiveness and comparative advantage shown in this study were not due to the encouraging intervention policies, as both production systems pay high taxes.
.-.-.-.-.-.-.-.-.-.-.-.-.-.
RESUMO:
O arroz é a base da alimentação para quase metade da população mundial, e sua cultura se situa como uma das c... Presentar Todo |
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Palabras claves : |
AGRIBUSINESS; COMPARATIVE ADVANTAGES; POLICY ANALYSIS; RICE CULTIVATION; RICE INDUSTRY; RICE MILLING. |
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Thesagro : |
ARROZ; BRASIL; URUGUAY. |
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Asunto categoría : |
-- |
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URL : |
http://www.scielo.br/pdf/cr/v47n4/1678-4596-cr-47-04-e20151085.pdf
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Marc : |
LEADER 03968naa a2200301 a 4500
001 1056999
005 2017-12-17
008 2017 bl uuuu u00u1 u #d
024 7 $a10.1590/0103-8478cr20151085$2DOI
100 1 $aSOUZA, A.R. LEAL DE
245 $aEconomic and accounting evaluation of rice milled production chains in Rio Grande do Sul (Brazil) and Uruguay with application of the Policy Analysis Matrix. [Avaliação econômica e contábil das cadeias produtivas do arroz beneficiado no Rio Grande do Sul (Brasil) e Uruguai com aplicação da Matriz de Análise de Políticas]$h[electronic resource]
260 $c2017
500 $aArticle history: Received 07.28.15: Approved 10.16.16; Returned by the author 12.19.16.
520 $aABSTRACT: Rice is the basis of diet for almost half of the world population, and its culture is one of the strategic agroindustrial production chains in the agribusiness environment, in both economic and social levels. Thus, the comparative analysis between the production chains of rice milled in Rio Grande do Sul (RS), Brazil, and Uruguay was mainly motivated by the interest in knowing the differences in the business environment and public policies that impact the competitiveness of this chain in both study regions. Therefore, the objective of this study was to assess the economic efficiency, competitiveness, and effects of public policies of the rice production chain of milled rice in RS (Brazil) relative to Uruguay. The data collected in this study are from the 2011-2012 harvests and indicators were calculated by applying the concepts of the policy analysis matrix (PAM). Results showed that the chains in both study regions were competitive under the existing market and policy conditions, revealed comparative advantage, transferred a high load of resources to other sectors of the economy, and satisfactorily remuneration of the domestic production factors. However, the competitiveness and comparative advantage shown in this study were not due to the encouraging intervention policies, as both production systems pay high taxes. .-.-.-.-.-.-.-.-.-.-.-.-.-. RESUMO: O arroz é a base da alimentação para quase metade da população mundial, e sua cultura se situa como uma das cadeias produtivas agroindustriais estratégicas no ambiente do agronegócio, tanto no nível econômico como no social. Assim, a análise comparativa entre as cadeias produtivas do arroz beneficiado no Rio Grande do Sul (RS), Brasil e no Uruguai foi motivada, principalmente, pelo interesse em conhecer as diferenças no ambiente de negócios e nas políticas públicas que afetam a competitividade desta cadeia nas respectivas regiões. Portanto, o objetivo deste estudo foi avaliar a eficiência econômica, competitividade, e efeitos de políticas públicas da cadeia produtiva de arroz beneficiado no RS (Brasil) em relação ao Uruguai. Os dados coletados neste estudo são das safras de 2011-2012 e, os indicadores foram calculados aplicando os conceitos da matriz de análise de políticas (MAP). Os resultados mostraram que as cadeias em ambas as regiões de estudo foram competitivas sob as condições de mercado e políticas existentes, evidenciaram vantagem comparativa, transferiram alto volume de recursos para outros setores da economia, remunerando satisfatoriamente os fatores domésticos de produção. Entretanto, tal competitividade e vantagem comparativa demonstrada não se deveram às intervenções políticas de incentivo, pois ambos sistemas de produção pagam elevados tributos.
650 $aARROZ
650 $aBRASIL
650 $aURUGUAY
653 $aAGRIBUSINESS
653 $aCOMPARATIVE ADVANTAGES
653 $aPOLICY ANALYSIS
653 $aRICE CULTIVATION
653 $aRICE INDUSTRY
653 $aRICE MILLING
700 1 $aREVILLION, J.P.P.
700 1 $aWAQUIL, P.D.
700 1 $aBELARMINO, L.C.
700 1 $aLANFRANCO, B.
773 $tCiencia Rural, 2017$gv.47 (4): 1-7.
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