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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
20/06/2015 |
Actualizado : |
20/06/2015 |
Tipo de producción científica : |
Informes Agroclimáticos |
Autor : |
GIMENEZ, A.; CASTAÑO, J.; FUREST, J.; CAL, A.; TISCORNIA, G.; SCHIAVI, C. |
Afiliación : |
AGUSTIN EDUARDO GIMENEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE PEDRO CASTAÑO SANCHEZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; JOSE MARIA FUREST CROCCO, 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. |
Título : |
Informe Agroclimático 2014 - Situación a Mayo. |
Fecha de publicación : |
2014 |
Fuente / Imprenta : |
Montevideo (Uruguay): INIA, 2014. |
Páginas : |
4 p. |
Idioma : |
Español |
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. |
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. |
Asunto categoría : |
P40 Meteorología y climatología |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/4735/1/Inf.Agr.-mayo-2014.pdf
http://www.inia.uy/Publicaciones/Paginas/Informe-agroclimatico-2014---Situacion-Mayo.aspx
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Marc : |
LEADER 02090nam a2200805 a 4500 001 1052891 005 2015-06-20 008 2014 bl uuuu u0uu1 u #d 100 1 $aGIMENEZ, A. 245 $aInforme Agroclimático 2014 - Situación a Mayo.$h[electronic resource] 260 $aMontevideo (Uruguay): INIA$c2014 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 $aFUREST, J. 700 1 $aCAL, A. 700 1 $aTISCORNIA, G. 700 1 $aSCHIAVI, C.
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INIA Las Brujas (LB) |
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| Acceso al texto completo restringido a Biblioteca INIA Las Brujas. Por información adicional contacte bibliolb@inia.org.uy. |
Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
20/08/2021 |
Actualizado : |
20/08/2021 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
IRISARRI, J.G.N.; TEXEIRA, M.; OESTERHELD, M.; VERÓN, S.R.; DELLA NAVE, F.; PARUELO, J. |
Afiliación : |
J. GONZALO N. IRISARRI, Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; MARCOS TEXEIRA, Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; MARTÍN OESTERHELD, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; SANTIAGO R. VERÓN, Instituto de Clima y Agua, Instituto Nacional de Tecnología Agropecuaria (INTA), Departamento de Métodos Cuantitativos y Sistemas de. Información, Facultad de Agronomía, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; FACUNDO DELLA NAVE, Cátedra de Ecología, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina.; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Dpto. Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, LART IFEVA, Univ. Bs.As., CONICET, Bs.As. Argentina; Fac. Ciencias, IECA, Univ. de la República, Montevideo, Uruguay. |
Título : |
Discriminating the biophysical signal from human-induced effects on long-term primary production dynamics. The case of Patagonia. |
Fecha de publicación : |
2021 |
Fuente / Imprenta : |
Global Change Biology, 2021, volume 27, Issue 18, Pages 4381 - 4391. Doi: https://doi.org/10.1111/gcb.15733 |
ISSN : |
1354-1013 |
DOI : |
10.1111/gcb.15733 |
Idioma : |
Inglés |
Notas : |
Article history: Received 20 January 2021, Accepted 13 May 2021, To be published September 2021.
Supplementary material.
Corresponging author: Irisarri, J.G.N.; Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina; email:irisarri@agro.uba.ar |
Contenido : |
ABSTRACT - The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the effect of humans on ecosystems. In water-limited ecosystems, like most grazing areas in the world, the effect of humans act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981?2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: El Niño Southern Oscillation (ENSO) through the Southern Oscillation Index (SOI), and precipitation. We described the effect of humans through the shape of the temporal trends of the residuals (RESTREND) of the environmental model and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The SOI had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative. © 2021 John Wiley & Sons Ltd. MenosABSTRACT - The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the effect of humans on ecosystems. In water-limited ecosystems, like most grazing areas in the world, the effect of humans act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981?2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: El Niño Southern Oscillation (ENSO) through the Southern Oscillation Index (SOI), and precipitation. We described the effect of humans through the shape of the temporal trends of the residuals (RESTREND) of the environmental model and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The SOI had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ... Presentar Todo |
Palabras claves : |
Ecosystems; ENSO; Environmental variations; GIMMS; NDVI; RESTREND; SOI. |
Asunto categoría : |
F01 Cultivo |
Marc : |
LEADER 02961naa a2200301 a 4500 001 1062363 005 2021-08-20 008 2021 bl uuuu u00u1 u #d 022 $a1354-1013 024 7 $a10.1111/gcb.15733$2DOI 100 1 $aIRISARRI, J.G.N. 245 $aDiscriminating the biophysical signal from human-induced effects on long-term primary production dynamics. The case of Patagonia.$h[electronic resource] 260 $c2021 500 $aArticle history: Received 20 January 2021, Accepted 13 May 2021, To be published September 2021. Supplementary material. Corresponging author: Irisarri, J.G.N.; Cátedra de Forrajicultura, Departamento de Producción Animal, Facultad de Agronomía, LART IFEVA, Universidad, de Buenos Aires, CONICET, Buenos Aires, Argentina; email:irisarri@agro.uba.ar 520 $aABSTRACT - The temporal trend of aboveground net primary production (ANPP) is frequently used to estimate the effect of humans on ecosystems. In water-limited ecosystems, like most grazing areas in the world, the effect of humans act upon ANPP in combination with environmental variations. Our main objective was to quantify long-term (1981?2012) changes of ANPP and discriminate the causes of these changes between environmental and human at a subcontinental scale, across vast areas of Patagonia. We estimated ANPP through a radiative model based on remote sensing data. Then, we evaluated the relation between ANPP and environmental interannual variations of two hierarchically related factors: El Niño Southern Oscillation (ENSO) through the Southern Oscillation Index (SOI), and precipitation. We described the effect of humans through the shape of the temporal trends of the residuals (RESTREND) of the environmental model and quantified human relative impact through the RESTREND: ANPP trend ratio. ANPP interannual variation was significantly explained by ENSO (through SOI) and precipitation in 65% of the study area. The SOI had a positive association with annual precipitation. The association between ANPP and annual precipitation was positive. RESTREND analysis was statistically significant in 92% of the area where the tested environmental model worked, representing 60% of the study area, and it was mostly negative. However, its magnitude, revealed through the RESTREND: ANPP trend ratio, was relatively mild. Our analysis revealed that most of ANPP trends were associated with climate and that even when human density is low, its incidence seems to be mainly negative. © 2021 John Wiley & Sons Ltd. 653 $aEcosystems 653 $aENSO 653 $aEnvironmental variations 653 $aGIMMS 653 $aNDVI 653 $aRESTREND 653 $aSOI 700 1 $aTEXEIRA, M. 700 1 $aOESTERHELD, M. 700 1 $aVERÓN, S.R. 700 1 $aDELLA NAVE, F. 700 1 $aPARUELO, J. 773 $tGlobal Change Biology, 2021, volume 27, Issue 18, Pages 4381 - 4391. Doi: https://doi.org/10.1111/gcb.15733
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