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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
05/10/2015 |
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Actualizado : |
06/10/2015 |
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Tipo de producción científica : |
Informes Agroclimáticos |
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Autor : |
GIMENEZ, A.; CASTAÑO, J.; CAL, A.; TISCORNIA, G.; SCHIAVI, C. |
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Afiliación : |
AGUSTIN EDUARDO GIMENEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; CARLOS IGNACIO SCHIAVI RAMPELBERG, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Informe Agroclimático 2015 - Situación a Julio. |
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Fecha de publicación : |
2015 |
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Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2015. |
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Páginas : |
4 p. |
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Idioma : |
Español |
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Palabras claves : |
AGROCLIMA; AGROCLIMATOLOGÍA; BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; ESTRÉS HÍDRICO; GRAFICAS AGROCLIMATICOS; GRAS; HELIOFANOGRAFO; INFORMACION SATELITAL; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PRECIPITACION NACIONAL; PREVENCION HELADAS; PRONOSTICO; SENSOR; SIMETRICO; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
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Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMATICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPORACION; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SUELO; TEMPERATURA; TERMOMETROS. |
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Asunto categoría : |
P40 Meteorología y climatología |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/5023/1/Inf.agroclimatico-Julio-2015.pdf
http://www.inia.uy/investigaci%C3%B3n-e-innovaci%C3%B3n/unidades/GRAS
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Marc : |
LEADER 02064nam a2200793 a 4500
001 1053477
005 2015-10-06
008 2015 bl uuuu u0uu1 u #d
100 1 $aGIMENEZ, A.
245 $aInforme Agroclimático 2015 - Situación a Julio.$h[electronic resource]
260 $aMontevideo (Uruguay): INIA$c2015
300 $a4 p.
650 $aAGROCLIMATOLOGIA
650 $aCAMBIO CLIMATICO
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aESTACIONES METEOROLOGICAS
650 $aESTRES HIDRICO
650 $aEVAPORACION
650 $aEVAPOTRANSPIRACION
650 $aHUMEDAD
650 $aHUMEDAD RELATIVA
650 $aLLUVIA
650 $aMETEOROLOGIA
650 $aPERSPECTIVAS
650 $aPLUVIOMETROS
650 $aPRONOSTICO DEL TIEMPO
650 $aSENSORES
650 $aSISTEMAS
650 $aSISTEMAS DE INFORMACION
650 $aSUELO
650 $aTEMPERATURA
650 $aTERMOMETROS
653 $aAGROCLIMA
653 $aAGROCLIMATOLOGÍA
653 $aBOLETIN AGROCLIMÁTICO
653 $aCARACTERIZACIÓN AGROCLIMÁTICA
653 $aDIRECCION VIENTO
653 $aESTACIONES AGROMETEOROLOGICAS
653 $aESTACIONES AUTOMATICAS
653 $aESTACIONES INIA
653 $aESTADO DEL TIEMPO
653 $aESTRÉS HÍDRICO
653 $aGRAFICAS AGROCLIMATICOS
653 $aGRAS
653 $aHELIOFANOGRAFO
653 $aINFORMACION SATELITAL
653 $aINUNDACIONES
653 $aLLUVIAS DIARIAS
653 $aMAXIMA
653 $aMEDIA
653 $aMINIMA
653 $aPANEL SOLAR
653 $aPERSPECTIVAS CLIMATICAS
653 $aPLUVIOMETRO
653 $aPRECIPITACION NACIONAL
653 $aPREVENCION HELADAS
653 $aPRONOSTICO
653 $aSENSOR
653 $aSIMETRICO
653 $aTANQUE A
653 $aTERMOCUPLAS
653 $aTERMOHIDROGRAFO
653 $aVARIABLES AGROCLIMATICAS
653 $aVELETA
700 1 $aCASTAÑO, J.
700 1 $aCAL, A.
700 1 $aTISCORNIA, G.
700 1 $aSCHIAVI, C.
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
18/04/2022 |
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Actualizado : |
18/04/2022 |
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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 : |
BLANCO, L. J.; PARUELO, J.; OESTERHELD, M.; AGÜERO, W. D. |
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Afiliación : |
LISANDRO JAVIER BLANCO, 1Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experiemental Agropecuaria (EEA) La Rioja, Chamical, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; MARTÍN OESTERHELD, Facultad de Agronomía, IFEVA, Universidad de Buenos Aires, CONICET, Buenos Aires, Argentina; WALTER DAMIÁN AGÜERO, 1Instituto Nacional de Tecnología Agropecuaria (INTA), Estación Experiemental Agropecuaria (EEA) La Rioja, Chamical, Argentina. |
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Título : |
Radiation use efficiency of the herbaceous layer of dry Chaco shrublands and woodlands: spatial and temporal patterns. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Applied Vegetation Science, 2022, volume 25, article e12653. Doi: https://doi.org/10.1111/avsc.12653 |
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DOI : |
10.1111/avsc.12653 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 30 July 2020 // Revised: 1 February 2022 // Accepted: 24 February 2022.
Correspondence: Lisandro Blanco, blanco.lisandro@inta.gob.ar |
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Contenido : |
Aims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial
and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation
variables.
Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations.
Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and 150% greater in woodlands than in shrublands depending on whether the sites were under moderate or severe grazing respectively.
Conclusion: Grazing regime and woody physiognomy accounted for most of the variation in herbaceous radiation use efficiency. Our results show that RUEH may be predicted with greater accuracy from a combination of vegetation maps and information on grazing regime. Thus, our models could be incorporated into web platforms that provide ANPPH (forage) monitoring services based on satellite data, in order to improve their estimates in woodlands, shrublands and savanna ecosystems. MenosAims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial
and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation
variables.
Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations.
Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and ... Presentar Todo |
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Palabras claves : |
ARGENTINA; ARIDITY; CHACO; GRASS FORAGE; GRAZING; NDVI (ÍNDICE DE VEGETACIÓN DE DIFERENCIA NORMALIZADA); PRIMARY PRODUCTION; REMOTE SENSING; SATELLITE MONITORING; WOODY ECOSYSTEM. |
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Asunto categoría : |
F62 Fisiología de la planta - Crecimiento y desarrollo |
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Marc : |
LEADER 03209naa a2200301 a 4500
001 1063053
005 2022-04-18
008 2022 bl uuuu u00u1 u #d
024 7 $a10.1111/avsc.12653$2DOI
100 1 $aBLANCO, L. J.
245 $aRadiation use efficiency of the herbaceous layer of dry Chaco shrublands and woodlands$bspatial and temporal patterns.$h[electronic resource]
260 $c2022
500 $aArticle history: Received: 30 July 2020 // Revised: 1 February 2022 // Accepted: 24 February 2022. Correspondence: Lisandro Blanco, blanco.lisandro@inta.gob.ar
520 $aAims: Monitoring rangeland above-ground net primary production (ANPP) requires information on the variation of radiation use efficiency (RUE). We studied the spatial and temporal variations of RUE of the herbaceous layer (RUEH) in woodlands and shrublands and its association with grazing regime, environmental, and vegetation variables. Location: We worked in the Arid Chaco (Argentina), an ecotone region between the Chaco and Monte phytogeographic provinces. Woody and herbaceous species coexist in variable proportions in relation to a regional precipitation gradient and local edaphic variations. Methods and results: Over eight growing seasons, we estimated RUEH at 12 sites, each with two contrasting grazing regimes (moderate and severe). To do this, we related estimated ANPPH from biomass harvests and APARH (absorbed photosynthetically active radiation of the herbaceous layer) calculated from the MODIS normalized difference vegetation index (NDVI). Then we linked the RUEH with precipitation, physiognomy, soil, and landscape data. Most of the spatial variability of RUEH was accounted for by the grazing regime. Moderately grazed areas had a three times greater RUEH than severely grazed ones (0.507 and 0.180 g MJ−1 respectively). They also exhibited different proportions of herbaceous functional types. Physiognomic characteristics of the woody layer explained a significant proportion of the spatial variation of RUEH not explained by grazing regime. RUEH was between 30 and 150% greater in woodlands than in shrublands depending on whether the sites were under moderate or severe grazing respectively. Conclusion: Grazing regime and woody physiognomy accounted for most of the variation in herbaceous radiation use efficiency. Our results show that RUEH may be predicted with greater accuracy from a combination of vegetation maps and information on grazing regime. Thus, our models could be incorporated into web platforms that provide ANPPH (forage) monitoring services based on satellite data, in order to improve their estimates in woodlands, shrublands and savanna ecosystems.
653 $aARGENTINA
653 $aARIDITY
653 $aCHACO
653 $aGRASS FORAGE
653 $aGRAZING
653 $aNDVI (ÍNDICE DE VEGETACIÓN DE DIFERENCIA NORMALIZADA)
653 $aPRIMARY PRODUCTION
653 $aREMOTE SENSING
653 $aSATELLITE MONITORING
653 $aWOODY ECOSYSTEM
700 1 $aPARUELO, J.
700 1 $aOESTERHELD, M.
700 1 $aAGÜERO, W. D.
773 $tApplied Vegetation Science, 2022, volume 25, article e12653. Doi: https://doi.org/10.1111/avsc.12653
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