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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
08/09/2022 |
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Actualizado : |
08/09/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
ZARZA, R.; CAL, A.; FORMOSO, D.; MEDINA, S.; REY, D.; CARRASCO-LETELIER, L. |
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Afiliación : |
RODRIGO TABARE ZARZA FUENTES, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; DANIEL FORMOSO, Private Consultor, Uruguay.; SANTIAGO MEDINA, Ministerio de Ordenamiento Territorial y Medio Ambiente, Dirección Nacional de Medio Ambiente, Galicia 1133, Montevideo, Uruguay.; DINORAH MABEL REY PEREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; LEONIDAS CARRASCO-LETELIER, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
First delimitation and land-use assessment of the riparian zones at Uruguayan Pampa. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Ecological Informatics, November 2022, Volume 71, 101781. doi: https://doi.org/10.1016/j.ecoinf.2022.101781 |
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DOI : |
10.1016/j.ecoinf.2022.101781 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 4 May 2022, Revised 16 July 2022; Accepted 17 August 2022; Available online 25 August 2022; Version of Record 7 September 2022.
Supplementary data to this article can be found online at https://doi.org/10.1016/j.ecoinf.2022.101781. |
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Contenido : |
ABSTRACT: The expansion and intensification of agriculture frequently affect riparian zones, mainly in basins where agriculture is the most important activity. In countries with basins dominated by agricultural activities, land use change in riparian zones promotes water quality loss and biodiversity degradation. As a tool to prevent these environmental impacts, the delimitation of riparian zones and buffer strips is crucial. For that purpose, photo interpretation jobs and botanical studies are usually necessary. However, a digital terrain model (DTM) becomes the best alternative when the information is unavailable or the survey area is too large. This work made the first delimitation of riparian zones of the country?s water drainage network. The results obtained by using a 1-m vertical buffer in DTM allowed the delimitation of the riparian zones of Uruguay. The results indicate that of the areas identified as riparian, 62% would be authentic and that the 29% of riparian areas identified under cultivation could rise to 46% if the identification improved the identification accuracy. The results indicate the existence of 4,608,890 ha of riparian zones, of which 94,651 ha could be under cultivation. |
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Palabras claves : |
CROP ROTATIONS; DTM; FLOODING ZONE; PAMPA BIOME; RIVERS; SUSTENTABILIDAD AMBIENTAL. |
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Asunto categoría : |
P01 Conservación de la naturaleza y recursos de La tierra |
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Marc : |
LEADER 02288naa a2200277 a 4500
001 1063565
005 2022-09-08
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1016/j.ecoinf.2022.101781$2DOI
100 1 $aZARZA, R.
245 $aFirst delimitation and land-use assessment of the riparian zones at Uruguayan Pampa.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 4 May 2022, Revised 16 July 2022; Accepted 17 August 2022; Available online 25 August 2022; Version of Record 7 September 2022. Supplementary data to this article can be found online at https://doi.org/10.1016/j.ecoinf.2022.101781.
520 $aABSTRACT: The expansion and intensification of agriculture frequently affect riparian zones, mainly in basins where agriculture is the most important activity. In countries with basins dominated by agricultural activities, land use change in riparian zones promotes water quality loss and biodiversity degradation. As a tool to prevent these environmental impacts, the delimitation of riparian zones and buffer strips is crucial. For that purpose, photo interpretation jobs and botanical studies are usually necessary. However, a digital terrain model (DTM) becomes the best alternative when the information is unavailable or the survey area is too large. This work made the first delimitation of riparian zones of the country?s water drainage network. The results obtained by using a 1-m vertical buffer in DTM allowed the delimitation of the riparian zones of Uruguay. The results indicate that of the areas identified as riparian, 62% would be authentic and that the 29% of riparian areas identified under cultivation could rise to 46% if the identification improved the identification accuracy. The results indicate the existence of 4,608,890 ha of riparian zones, of which 94,651 ha could be under cultivation.
653 $aCROP ROTATIONS
653 $aDTM
653 $aFLOODING ZONE
653 $aPAMPA BIOME
653 $aRIVERS
653 $aSUSTENTABILIDAD AMBIENTAL
700 1 $aCAL, A.
700 1 $aFORMOSO, D.
700 1 $aMEDINA, S.
700 1 $aREY, D.
700 1 $aCARRASCO-LETELIER, L.
773 $tEcological Informatics, November 2022, Volume 71, 101781. doi: https://doi.org/10.1016/j.ecoinf.2022.101781
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Registro original : |
INIA La Estanzuela (LE) |
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Registro completo
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Biblioteca (s) : |
INIA Tacuarembó. |
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Fecha actual : |
23/09/2016 |
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Actualizado : |
23/09/2016 |
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Tipo de producción científica : |
Abstracts/Resúmenes |
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Autor : |
BASILE, P.; FORMOSO, D.; TISCORNIA, G.; BLUMETTO, O. |
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Afiliación : |
PATRICIA CECILIA BASILE LORENZO, Universidad de la República (UdelaR)/ Centro Universitario Regional Tacuarembó; DANIEL FORMOSO CUNHA, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; OSCAR RICARDO BLUMETTO VELAZCO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Radiation use efficiency on campos graslands with contrasting grzing methods. [Resumen de poster]. |
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Fecha de publicación : |
2016 |
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Fuente / Imprenta : |
ln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016. |
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Páginas : |
p. 64 |
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Idioma : |
Inglés |
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Contenido : |
Introduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability
of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR
was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the means were compared with T test for paired samples. Results: Between grazing methods, RUE average values were statistically different (p <0.05), with controlled management reporting values above 44%. When analysing seasonal variation between grazing methods, there were no statistical differences in RUE values. Seasonal variation of RUE for each grazing methods separately, was significantly different within seasons (p <0.05). Conclusions: The RUE values obtained could be used in the estimation of a more accurately ANPP in natural grasslands of this region. MenosIntroduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability
of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR
was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the mea... Presentar Todo |
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Palabras claves : |
GRASSLAND PRODUCTIVITY; LIVESTOCK MANAGEMENT; PPNA. |
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Thesagro : |
PASTURAS. |
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Asunto categoría : |
P30 Ciencia del suelo y manejo del suelo |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6099/1/PAGINA-64.pdf
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Marc : |
LEADER 02852naa a2200217 a 4500
001 1055722
005 2016-09-23
008 2016 bl uuuu u00u1 u #d
100 1 $aBASILE, P.
245 $aRadiation use efficiency on campos graslands with contrasting grzing methods. [Resumen de poster].$h[electronic resource]
260 $c2016
300 $ap. 64
520 $aIntroduction: In Uruguay, the Basaltic region has de highest proportion of natural grasslands of the country. In this pastures, livestock management is the main reason of degradation of natural grasslands. Today, it's possible to estimate ANPP (Aboveground Net Primary Production) using remote sensing techniques. The RUE (Radiation Use Efficiency) is the effectiveness with which fPAR (fraction of Photosyntethically Active Radiation absorbed by plants) is transformed in ANPP and is known to vary according to temperature, precipitation and species composition. Objectives; The aims of this work were: a) to calibrate RUE and b) study the temporal variability of RUE for two contrasting grazing methods. Materials & Methods: The study was conducted on five livestock farms located in the Basaltic region. In each site, two contrasting pastures with different historical grazing management (controlled vs continuous stocking rate) were selected. Data was collected between september 2013 and february 2015. RUE coefficient was estimated following Monteith equation: RUE= ANPP / APAR and APAR= fPAR x PAR. ANPP was estimated using the technique of regrowth in three exclusion cages. Biomass was cut at 1cm in boxes 20 x 50cm with shears every 45-50 days and was dried in forced air oven at 60 ° C. fPAR was obtained as a function of ENVI images from MODIS sensor (US Geological Survey) and PAR was estimated from agro-climatic stations of INIA. RUE data were analyzed with a oneway ANOVA and the means were compared with T test for paired samples. Results: Between grazing methods, RUE average values were statistically different (p <0.05), with controlled management reporting values above 44%. When analysing seasonal variation between grazing methods, there were no statistical differences in RUE values. Seasonal variation of RUE for each grazing methods separately, was significantly different within seasons (p <0.05). Conclusions: The RUE values obtained could be used in the estimation of a more accurately ANPP in natural grasslands of this region.
650 $aPASTURAS
653 $aGRASSLAND PRODUCTIVITY
653 $aLIVESTOCK MANAGEMENT
653 $aPPNA
700 1 $aFORMOSO, D.
700 1 $aTISCORNIA, G.
700 1 $aBLUMETTO, O.
773 $tln: Encuentro de Investigadores de la Región Noreste: Cerro Largo-Rivera-Tacuarembó, 1., 12 de agosto de 2016, Campus Interinstitucional de Tacuarembó, Tacuarembó. Libro de Resúmenes. Tacuarembó: UDELAR; INIA, 2016.
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