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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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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 : |
10/07/2019 |
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Actualizado : |
25/01/2019 |
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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 : |
BESIL, N.; PÉREZ-PARADA, A.; BOLOGNA, F.; CESIO, M.V.; RIVAS, F.; HEINZEN, H. |
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Afiliación : |
NATALIA BESIL, Grupo de Análisis de Compuestos Traza, Departamento de Química del Litoral, Facultad de Química, CENUR Litoral Norte, Universidad de la República UdelaR, Paysandú, Uruguay; ANDRÉS PÉREZ-PARADA, Grupo de Análisis de Compuestos Traza, Departamento de Química del Litoral, Facultad de Química, CENUR Litoral Norte, Universidad de la República UdelaR, Paysandú, Uruguay;Dpto de Desarrollo Tecnológico – DDT, Centro Universitario Regional del Este, Rocha; FRANCO DAMIAN BOLOGNA FERNANDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARÍA VERÓNICA CESIO, Grupo de Análisis de Compuestos Traza, Cátedra de Farmacognosia y Productos Naturales, Departamento de Química Orgánica, Facultad de Química, Universidad de la República UdelaR, Montevideo, Uruguay.; CARLOS FERNANDO RIVAS GRELA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; HORACIO HEINZEN, Grupo de Análisis de Compuestos Traza, Departamento de Química del Litoral, Facultad de Química, CENUR Litoral Norte, Universidad de la República UdelaR, Paysandú, Uruguay. |
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Título : |
Dissipation of selected insecticides and fungicides applied during pre-harvest on mandarin and orange trees in Uruguay. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Scientia Horticulturae, 5 April 2019, Volume 248, Pages 34-40. |
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ISSN : |
0304-4238 |
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DOI : |
10.1016/j.scienta.2018.12.053 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 4 October 2018 / Revised 28 December 2018 / Accepted 29 December 2018 / Available online 9 January 2019.
Funding sources: Financial support from Instituto Nacional de Investigación Agropecuaria Uruguay, (L2_12_1_VI_CT_GT4_7639 project). N. Besil is grateful to Agencia Nacional de Investigación e Innovación, Uruguay, for her scholarship POS_NAC_2012_1_9348. |
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Contenido : |
ABSTRACT.
The dissipation of 4 commercial pre-harvest pesticides used in two Citrus species under field conditions is presented. The influence of agroecological region, the Citrus species and weather conditions on abamectin, spinosad, imidacloprid and difenoconazole dissipation rate on fruits were evaluated. A validated ethyl acetate method coupled to liquid chromatography-tandem mass spectrometry allowed the determination of pesticide residues having recoveries of 72?115%, relative standard deviations ≤16% and quantification limits below the international Maximum Residue Levels (MRLs). After 35?40 days from pesticides spraying, all residues were below the international required MRL. For each citrus species, the influence of the agroecological region on the pesticide dissipation was assessed. Film-protected fruits against direct radiation and rain showed higher residue levels of imidacloprid and spinosad than the non-protected ones. Either for orange or mandarin, abamectin residues were detectable only at the first day after application. These findings provide useful information to state safer pre harvest intervals and to ensure food safety and compliance with good agricultural practices.
© 2019 Elsevier B.V. All rights reserved. |
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Palabras claves : |
CITRUS FRUITS; LC-MS/MS; PESTICIDE RESIDUES; PRE-HARVEST DISSIPATION. |
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Thesagro : |
CITRUS. |
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Asunto categoría : |
F01 Cultivo |
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Marc : |
LEADER 02458naa a2200277 a 4500
001 1059940
005 2019-01-25
008 2019 bl uuuu u00u1 u #d
022 $a0304-4238
024 7 $a10.1016/j.scienta.2018.12.053$2DOI
100 1 $aBESIL, N.
245 $aDissipation of selected insecticides and fungicides applied during pre-harvest on mandarin and orange trees in Uruguay.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 4 October 2018 / Revised 28 December 2018 / Accepted 29 December 2018 / Available online 9 January 2019. Funding sources: Financial support from Instituto Nacional de Investigación Agropecuaria Uruguay, (L2_12_1_VI_CT_GT4_7639 project). N. Besil is grateful to Agencia Nacional de Investigación e Innovación, Uruguay, for her scholarship POS_NAC_2012_1_9348.
520 $aABSTRACT. The dissipation of 4 commercial pre-harvest pesticides used in two Citrus species under field conditions is presented. The influence of agroecological region, the Citrus species and weather conditions on abamectin, spinosad, imidacloprid and difenoconazole dissipation rate on fruits were evaluated. A validated ethyl acetate method coupled to liquid chromatography-tandem mass spectrometry allowed the determination of pesticide residues having recoveries of 72?115%, relative standard deviations ≤16% and quantification limits below the international Maximum Residue Levels (MRLs). After 35?40 days from pesticides spraying, all residues were below the international required MRL. For each citrus species, the influence of the agroecological region on the pesticide dissipation was assessed. Film-protected fruits against direct radiation and rain showed higher residue levels of imidacloprid and spinosad than the non-protected ones. Either for orange or mandarin, abamectin residues were detectable only at the first day after application. These findings provide useful information to state safer pre harvest intervals and to ensure food safety and compliance with good agricultural practices. © 2019 Elsevier B.V. All rights reserved.
650 $aCITRUS
653 $aCITRUS FRUITS
653 $aLC-MS/MS
653 $aPESTICIDE RESIDUES
653 $aPRE-HARVEST DISSIPATION
700 1 $aPÉREZ-PARADA, A.
700 1 $aBOLOGNA, F.
700 1 $aCESIO, M.V.
700 1 $aRIVAS, F.
700 1 $aHEINZEN, H.
773 $tScientia Horticulturae, 5 April 2019, Volume 248, Pages 34-40.
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