|
|
| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
15/08/2023 |
Actualizado : |
16/08/2023 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
GALLEGO, F.; CAMBA SANS, G.; DI BELLA, C.M.; TISCORNIA, G.; PARUELO, J. |
Afiliación : |
F. GALLEGO, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Iguá 4225, Montevideo, Uruguay; G. CAMBA SANS, Departamento de Métodos Cuantitativos y Sistemas de Información. Facultad de Agronomía. Universidad de Buenos, Av. San Martín 4453, Buenos Aires, Argentina; C.M. DI BELLA, Departamento de Métodos Cuantitativos y Sistemas de Información. Facultad de Agronomía. Universidad de Buenos, Av. San Martín 4453, Buenos Aires, Argentina; IFEVA-CONICET, Av. San Martín 4453, Buenos Aires, Argentina; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Inst. Ecología y Ciencias Ambientales, Fac. Ciencias, Univ. de la República, Mdeo; Dpto. Métodos Cuantitativos y Sistemas Inf., Fac. Agronomía. Univ. Bs.As, Bs.As., Argentina; IFEVA-CONICET. |
Título : |
Performance of real evapotranspiration products and water yield estimations in Uruguay. |
Fecha de publicación : |
2023 |
Fuente / Imprenta : |
Remote Sensing Applications: Society and Environment. 2023, Volume 32, 101043. https://doi.org/10.1016/j.rsase.2023.101043 |
ISSN : |
2352-9385 (online). |
DOI : |
10.1016/j.rsase.2023.101043 |
Idioma : |
Inglés |
Notas : |
Article history: Received 2 March 2023; Received in revised form 5 July 2023; Accepted 7 August 2023; Available online 9 August 2023. -- Corresponding author. Iguá 4225, Montevideo, CP:11400, Uruguay. E-mail addresses: fgallego@fcien.edu.uy (F. Gallego), camba@agro.uba.ar (G. Camba Sans), carlos.m.dibella@gmail.com (C.M. Di Bella), gtiscornia@inia.org.uy (G. Tiscornia), jparuelo@inia.org.uy (J.M. Paruelo). -- Funding: This research was funded by the FMV - ANII project (FMV_3_2020_1_162279) and INIA. -- Supplementary data: Supplementary data to this article can be found online at https://doi.org/10.1016/j.rsase.2023.101043 -- |
Contenido : |
Real evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Additionally, ETR plays a significant role in determining water yield (WY) at the catchment level, which directly impacts water availability for consumption and irrigation. Therefore, it is essential to quantify ETR and WY fluctuations in response to various human pressures to enable comprehensive water planning. In recent decades, remote sensing has become increasingly employed worldwide for hydrological monitoring and estimating ETR. In Uruguay, several approaches have been attempted to quantify ETR. However, there is still a lack of assessments concerning the performance of different products, particularly those using remote sensing. The main objectives of this article were twofold: a) to evaluate the performance of various spatial explicit approaches for estimating real ETR and b) to estimate and analyse the variability in WY derived from the different ETR products for three climatically contrasting years. To achieve these objectives, we utilized four remote sensing ETR products: the Penman?Monteith?Leuning model (PMLv2), the MODIS product, the Simplified Jackson Model based on Landsat images and INTA-SEPA model based on NOAA-AVHRR images. We also employed two water balance models at two scales: national (derived from the National Institute for Agricultural Research of Uruguay, INIA) and micro-watershed level. Our results indicate that MODIS and PMLv2 remote sensing products exhibited better performances compared to the other approaches. These products provided the highest spatial (500 m) and temporal (8 days) resolution, effectively capturing seasonal differences between land-covers. Moreover, they showed positive and strong correlations with annual precipitation and productivity. The discrepancies observed between products have direct implications on the estimation of WY, not only in terms of quantity but also in terms of spatial patterns. Future studies should explore the application of MODIS and PMLv2 ETR estimations for understanding hydrological and ecological processes, conducting climate change research, detecting and mitigating agricultural drought, and managing water resources effectively. © 2023 Elsevier B.V. All rights reserved. MenosReal evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Additionally, ETR plays a significant role in determining water yield (WY) at the catchment level, which directly impacts water availability for consumption and irrigation. Therefore, it is essential to quantify ETR and WY fluctuations in response to various human pressures to enable comprehensive water planning. In recent decades, remote sensing has become increasingly employed worldwide for hydrological monitoring and estimating ETR. In Uruguay, several approaches have been attempted to quantify ETR. However, there is still a lack of assessments concerning the performance of different products, particularly those using remote sensing. The main objectives of this article were twofold: a) to evaluate the performance of various spatial explicit approaches for estimating real ETR and b) to estimate and analyse the variability in WY derived from the different ETR products for three climatically contrasting years. To achieve these objectives, we utilized four remote sensing ETR products: the Penman?Monteith?Leuning model (PMLv2), the MODIS product, the Simplified Jackson Model based on Landsat images and INTA-SEPA model based on NOAA-AVHRR images. We also employed two water balance models at two scales: national (derived from the National Institute for Agricultural Research of Uruguay, INIA) and micro-watershed level. Our results i... Presentar Todo |
Palabras claves : |
Land-cover; NDVI; Precipitation; Remote sensing; Water balance. |
Asunto categoría : |
-- |
Marc : |
LEADER 03781naa a2200265 a 4500 001 1064286 005 2023-08-16 008 2023 bl uuuu u00u1 u #d 022 $a2352-9385 (online). 024 7 $a10.1016/j.rsase.2023.101043$2DOI 100 1 $aGALLEGO, F. 245 $aPerformance of real evapotranspiration products and water yield estimations in Uruguay.$h[electronic resource] 260 $c2023 500 $aArticle history: Received 2 March 2023; Received in revised form 5 July 2023; Accepted 7 August 2023; Available online 9 August 2023. -- Corresponding author. Iguá 4225, Montevideo, CP:11400, Uruguay. E-mail addresses: fgallego@fcien.edu.uy (F. Gallego), camba@agro.uba.ar (G. Camba Sans), carlos.m.dibella@gmail.com (C.M. Di Bella), gtiscornia@inia.org.uy (G. Tiscornia), jparuelo@inia.org.uy (J.M. Paruelo). -- Funding: This research was funded by the FMV - ANII project (FMV_3_2020_1_162279) and INIA. -- Supplementary data: Supplementary data to this article can be found online at https://doi.org/10.1016/j.rsase.2023.101043 -- 520 $aReal evapotranspiration (ETR) is a key variable in socio-ecological systems since it is related to the food supply, climate regulation, among others. Additionally, ETR plays a significant role in determining water yield (WY) at the catchment level, which directly impacts water availability for consumption and irrigation. Therefore, it is essential to quantify ETR and WY fluctuations in response to various human pressures to enable comprehensive water planning. In recent decades, remote sensing has become increasingly employed worldwide for hydrological monitoring and estimating ETR. In Uruguay, several approaches have been attempted to quantify ETR. However, there is still a lack of assessments concerning the performance of different products, particularly those using remote sensing. The main objectives of this article were twofold: a) to evaluate the performance of various spatial explicit approaches for estimating real ETR and b) to estimate and analyse the variability in WY derived from the different ETR products for three climatically contrasting years. To achieve these objectives, we utilized four remote sensing ETR products: the Penman?Monteith?Leuning model (PMLv2), the MODIS product, the Simplified Jackson Model based on Landsat images and INTA-SEPA model based on NOAA-AVHRR images. We also employed two water balance models at two scales: national (derived from the National Institute for Agricultural Research of Uruguay, INIA) and micro-watershed level. Our results indicate that MODIS and PMLv2 remote sensing products exhibited better performances compared to the other approaches. These products provided the highest spatial (500 m) and temporal (8 days) resolution, effectively capturing seasonal differences between land-covers. Moreover, they showed positive and strong correlations with annual precipitation and productivity. The discrepancies observed between products have direct implications on the estimation of WY, not only in terms of quantity but also in terms of spatial patterns. Future studies should explore the application of MODIS and PMLv2 ETR estimations for understanding hydrological and ecological processes, conducting climate change research, detecting and mitigating agricultural drought, and managing water resources effectively. © 2023 Elsevier B.V. All rights reserved. 653 $aLand-cover 653 $aNDVI 653 $aPrecipitation 653 $aRemote sensing 653 $aWater balance 700 1 $aCAMBA SANS, G. 700 1 $aDI BELLA, C.M. 700 1 $aTISCORNIA, G. 700 1 $aPARUELO, J. 773 $tRemote Sensing Applications: Society and Environment. 2023, Volume 32, 101043. https://doi.org/10.1016/j.rsase.2023.101043
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
09/02/2022 |
Actualizado : |
01/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
MACEDO, I.; ROEL, A.; AYALA, W.; PRAVIA, V.; TERRA, J.A.; PITTELKOW, C. M. |
Afiliación : |
IGNACIO MACEDO YAPOR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Dep. of Plant Sciences, Univ. of California, Davis, CA, USA; ALVARO ROEL DELLAZOPPA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER FELIZARDO AYALA SILVERA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; MARIA VIRGINIA PRAVIA NIN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSÉ ALFREDO TERRA FERNÁNDEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CAMERON M. PITTELKOW, Dep. of Plant Sciences, Univ. of California, Davis, CA, USA. |
Título : |
Irrigated rice rotations affect yield and soil organic carbon sequestration in temperate South America. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Agronomy Journal, 2022, 1-15. OPEN ACCESS. doi: https://doi.org/10.1002/agj2.20964 |
DOI : |
10.1002/agj2.20964 |
Idioma : |
Inglés |
Notas : |
Article history: Received: 25 July 2021 // Accepted: 16 November 2021 // First published: 25 November 2021. Correspondence: Ignacio Macedo, email:macedoyapor@gmail.com |
Contenido : |
Rice (Oryza sativa L.) systems rotated with perennial pastures have intensified in South America to increase annual grain productivity, but the effects on rice yield and soil quality remain poorly understood. We evaluated rice grain yield, crop and pasture biomass production, and soil organic carbon (SOC) and total nitrogen stocks (0?15-cm depth) in three rice-based rotations over 8 yr in Uruguay. Treatments were: (a) rice?pasture [a 5 yr rotation of rice?ryegrass (Lolium multiflorum Lam.)?rice, then 3.5 yr of a perennial mixture of tall fescue (Festuca arundinacea Schreb.), white clover (Trifolium repens L.), and birdsfoot trefoil (Lotus corniculatus L.)], (b) rice?soybean [a 2-yr rotation of rice?ryegrass?soybean (Glycine max [L.] Merr.)?Egyptian clover (Trifolium alexandrinum L.)], and (c) rice?cover crop (an annual rotation of rice?Egyptian clover). Rice after soybean or pasture achieved the highest yield (9.8 Mg ha?1), 9% higher than rice after rice in the rice?pasture and rice?cover crop systems. Estimated belowground biomass under rice?pasture (2.7 Mg ha?1) was 12 and 42% greater than under rice?cover crop and rice?soybean rotations, respectively. Rice?pasture showed an increase of 0.6 Mg ha?1 yr?1 of SOC; no changes were observed in the intensified rotations replacing pasture with additional rice or soybean. All systems sustained soil total N. These results provide insights for implementing sustainable rice-based rotations, with rice?pasture being the only system that increased SOC while achieving high rice yields and belowground biomass productivity. MenosRice (Oryza sativa L.) systems rotated with perennial pastures have intensified in South America to increase annual grain productivity, but the effects on rice yield and soil quality remain poorly understood. We evaluated rice grain yield, crop and pasture biomass production, and soil organic carbon (SOC) and total nitrogen stocks (0?15-cm depth) in three rice-based rotations over 8 yr in Uruguay. Treatments were: (a) rice?pasture [a 5 yr rotation of rice?ryegrass (Lolium multiflorum Lam.)?rice, then 3.5 yr of a perennial mixture of tall fescue (Festuca arundinacea Schreb.), white clover (Trifolium repens L.), and birdsfoot trefoil (Lotus corniculatus L.)], (b) rice?soybean [a 2-yr rotation of rice?ryegrass?soybean (Glycine max [L.] Merr.)?Egyptian clover (Trifolium alexandrinum L.)], and (c) rice?cover crop (an annual rotation of rice?Egyptian clover). Rice after soybean or pasture achieved the highest yield (9.8 Mg ha?1), 9% higher than rice after rice in the rice?pasture and rice?cover crop systems. Estimated belowground biomass under rice?pasture (2.7 Mg ha?1) was 12 and 42% greater than under rice?cover crop and rice?soybean rotations, respectively. Rice?pasture showed an increase of 0.6 Mg ha?1 yr?1 of SOC; no changes were observed in the intensified rotations replacing pasture with additional rice or soybean. All systems sustained soil total N. These results provide insights for implementing sustainable rice-based rotations, with rice?pasture being the only system tha... Presentar Todo |
Palabras claves : |
ARROZ; Bulk density (BD); ROTACIONES; ROTACIONES ARROZ-PASTURAS-OTROS CULTIVOS; SOIL ORGANIC CARBON; TOTAL NITROGEN; URUGUAY. |
Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16267/1/Agronomy-Journal-2021-Macedo-2022.pdf
|
Marc : |
LEADER 02608naa a2200289 a 4500 001 1062738 005 2022-09-01 008 2022 bl uuuu u00u1 u #d 024 7 $a10.1002/agj2.20964$2DOI 100 1 $aMACEDO, I. 245 $aIrrigated rice rotations affect yield and soil organic carbon sequestration in temperate South America.$h[electronic resource] 260 $c2022 500 $aArticle history: Received: 25 July 2021 // Accepted: 16 November 2021 // First published: 25 November 2021. Correspondence: Ignacio Macedo, email:macedoyapor@gmail.com 520 $aRice (Oryza sativa L.) systems rotated with perennial pastures have intensified in South America to increase annual grain productivity, but the effects on rice yield and soil quality remain poorly understood. We evaluated rice grain yield, crop and pasture biomass production, and soil organic carbon (SOC) and total nitrogen stocks (0?15-cm depth) in three rice-based rotations over 8 yr in Uruguay. Treatments were: (a) rice?pasture [a 5 yr rotation of rice?ryegrass (Lolium multiflorum Lam.)?rice, then 3.5 yr of a perennial mixture of tall fescue (Festuca arundinacea Schreb.), white clover (Trifolium repens L.), and birdsfoot trefoil (Lotus corniculatus L.)], (b) rice?soybean [a 2-yr rotation of rice?ryegrass?soybean (Glycine max [L.] Merr.)?Egyptian clover (Trifolium alexandrinum L.)], and (c) rice?cover crop (an annual rotation of rice?Egyptian clover). Rice after soybean or pasture achieved the highest yield (9.8 Mg ha?1), 9% higher than rice after rice in the rice?pasture and rice?cover crop systems. Estimated belowground biomass under rice?pasture (2.7 Mg ha?1) was 12 and 42% greater than under rice?cover crop and rice?soybean rotations, respectively. Rice?pasture showed an increase of 0.6 Mg ha?1 yr?1 of SOC; no changes were observed in the intensified rotations replacing pasture with additional rice or soybean. All systems sustained soil total N. These results provide insights for implementing sustainable rice-based rotations, with rice?pasture being the only system that increased SOC while achieving high rice yields and belowground biomass productivity. 653 $aARROZ 653 $aBulk density (BD) 653 $aROTACIONES 653 $aROTACIONES ARROZ-PASTURAS-OTROS CULTIVOS 653 $aSOIL ORGANIC CARBON 653 $aTOTAL NITROGEN 653 $aURUGUAY 700 1 $aROEL, A. 700 1 $aAYALA, W. 700 1 $aPRAVIA, V. 700 1 $aTERRA, J.A. 700 1 $aPITTELKOW, C. M. 773 $tAgronomy Journal, 2022, 1-15. OPEN ACCESS. doi: https://doi.org/10.1002/agj2.20964
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Treinta y Tres (TT) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|