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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha : |
21/08/2019 |
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Actualizado : |
27/01/2021 |
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Autor : |
CIPRIOTTI, P.; AGUIAR, M.; WIEGAND, T.; PARUELO, J. M. |
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Título : |
Combined effects of grazing management and climate on semi-arid steppes: hysteresis dynamics prevent recovery of degraded rangelands. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Journal of Applied Ecology, 2019. |
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DOI : |
10.1111/1365-2664.13471 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received:10 October 2018/Accepted:28 June 2019. |
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Contenido : |
ABSTRACTS:
1.Livestock grazing has degraded many arid and semi-arid rangelands around the world, and the drier climate predicted by climate change scenarios may amplify these effects and even lead to catastrophic vegetation shifts.2. We assess the long-term effects (1900-2100) of grazing and rainfall on various aspects of vegetation structure including the grass-shrub balance, the maintenance of spatial vegetation patterns, and the decline or recovery of palatable grasses (e.g., Poa ligularis) on a cover and/or density basis. We used the eco-hydrological and individual-based simulation model DINVEG for this purpose, which describes the spatiotemporal dynamics of Patagonian grass shrub steppes based on six decades of field research (1955-2018). 3. Rainfall and grazing affected the simulated vegetation structure in different ways. Total plant cover was mostly influenced by rainfall, but the cover of palatable grasses was mostly influenced by stocking rate. Dry conditions and low stocking rates (122 mm/yr and < 0.2 sheep·ha-1) favoured grasses over shrubs, whereas shrub encroachment occurred only in the high rainfall scenario combined with high stocking rates (181 mm/yr and > 0.2 sheep·ha-1). 4. High stocking rates and/or drier conditions caused only gradual shifts in spatial vegetation patterns, but maintained the observed positive association for grasses around shrubs. In contrast, shrub encroachment was associated with repulsion between grasses and shrubs and the formation of shrub clusters into a matrix of scattered less palatable grasses. 5. Plant compositional changes occurred through grass species replacement (e.g., P. ligularis is replaced by Pappostipa humilis) and the associated hysteresis effect of palatable grass species: model simulations suggest that 2-3 decades of heavy and year-long continuous grazing can drive palatable grasses to close to extinction, whereas natural recovery of degraded steppes may take 100 years or longer. 6. Synthesis and applications. Desertification and climate change challenge grazing management in semi-arid rangelands, especially in already degraded ecosystems. Management that alternates between years of grazing and resting was effective to maintain the cover of palatable grasses, but this allowed for only very slow recovery of degraded steppes. While drier climate and grazing may not change the overall spatial patterns of vegetation, our results are rather pessimistic regarding the short-term recovery of palatable grasses. This will require increasing complexity in ecosystem restoration efforts, combined with interventions such as sowing, watering, reseeding or major changes in land use. MenosABSTRACTS:
1.Livestock grazing has degraded many arid and semi-arid rangelands around the world, and the drier climate predicted by climate change scenarios may amplify these effects and even lead to catastrophic vegetation shifts.2. We assess the long-term effects (1900-2100) of grazing and rainfall on various aspects of vegetation structure including the grass-shrub balance, the maintenance of spatial vegetation patterns, and the decline or recovery of palatable grasses (e.g., Poa ligularis) on a cover and/or density basis. We used the eco-hydrological and individual-based simulation model DINVEG for this purpose, which describes the spatiotemporal dynamics of Patagonian grass shrub steppes based on six decades of field research (1955-2018). 3. Rainfall and grazing affected the simulated vegetation structure in different ways. Total plant cover was mostly influenced by rainfall, but the cover of palatable grasses was mostly influenced by stocking rate. Dry conditions and low stocking rates (122 mm/yr and < 0.2 sheep·ha-1) favoured grasses over shrubs, whereas shrub encroachment occurred only in the high rainfall scenario combined with high stocking rates (181 mm/yr and > 0.2 sheep·ha-1). 4. High stocking rates and/or drier conditions caused only gradual shifts in spatial vegetation patterns, but maintained the observed positive association for grasses around shrubs. In contrast, shrub encroachment was associated with repulsion between grasses and shrubs and the formation ... Presentar Todo |
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Palabras claves : |
CARGA GANADERA; COEXISTENCIA PASTOS-ARBUSTOS; DESERTIFICATION; ECOSYSTEM RESTORATION; GRASS-SHRUB COEXISTENCE; HYSTERESIS; MOSAICOS DE VEGETACIÓN; PASTOREO OVINO; RESTAURACIÓN DE ECOSISTEMAS; SHEEP GRAZING; SIMULATION MODELLING. |
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Thesagro : |
DESERTIFICACION. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03732naa a2200325 a 4500
001 1060044
005 2021-01-27
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1111/1365-2664.13471$2DOI
100 1 $aCIPRIOTTI, P.
245 $aCombined effects of grazing management and climate on semi-arid steppes$bhysteresis dynamics prevent recovery of degraded rangelands.$h[electronic resource]
260 $c2019
500 $aArticle history: Received:10 October 2018/Accepted:28 June 2019.
520 $aABSTRACTS: 1.Livestock grazing has degraded many arid and semi-arid rangelands around the world, and the drier climate predicted by climate change scenarios may amplify these effects and even lead to catastrophic vegetation shifts.2. We assess the long-term effects (1900-2100) of grazing and rainfall on various aspects of vegetation structure including the grass-shrub balance, the maintenance of spatial vegetation patterns, and the decline or recovery of palatable grasses (e.g., Poa ligularis) on a cover and/or density basis. We used the eco-hydrological and individual-based simulation model DINVEG for this purpose, which describes the spatiotemporal dynamics of Patagonian grass shrub steppes based on six decades of field research (1955-2018). 3. Rainfall and grazing affected the simulated vegetation structure in different ways. Total plant cover was mostly influenced by rainfall, but the cover of palatable grasses was mostly influenced by stocking rate. Dry conditions and low stocking rates (122 mm/yr and < 0.2 sheep·ha-1) favoured grasses over shrubs, whereas shrub encroachment occurred only in the high rainfall scenario combined with high stocking rates (181 mm/yr and > 0.2 sheep·ha-1). 4. High stocking rates and/or drier conditions caused only gradual shifts in spatial vegetation patterns, but maintained the observed positive association for grasses around shrubs. In contrast, shrub encroachment was associated with repulsion between grasses and shrubs and the formation of shrub clusters into a matrix of scattered less palatable grasses. 5. Plant compositional changes occurred through grass species replacement (e.g., P. ligularis is replaced by Pappostipa humilis) and the associated hysteresis effect of palatable grass species: model simulations suggest that 2-3 decades of heavy and year-long continuous grazing can drive palatable grasses to close to extinction, whereas natural recovery of degraded steppes may take 100 years or longer. 6. Synthesis and applications. Desertification and climate change challenge grazing management in semi-arid rangelands, especially in already degraded ecosystems. Management that alternates between years of grazing and resting was effective to maintain the cover of palatable grasses, but this allowed for only very slow recovery of degraded steppes. While drier climate and grazing may not change the overall spatial patterns of vegetation, our results are rather pessimistic regarding the short-term recovery of palatable grasses. This will require increasing complexity in ecosystem restoration efforts, combined with interventions such as sowing, watering, reseeding or major changes in land use.
650 $aDESERTIFICACION
653 $aCARGA GANADERA
653 $aCOEXISTENCIA PASTOS-ARBUSTOS
653 $aDESERTIFICATION
653 $aECOSYSTEM RESTORATION
653 $aGRASS-SHRUB COEXISTENCE
653 $aHYSTERESIS
653 $aMOSAICOS DE VEGETACIÓN
653 $aPASTOREO OVINO
653 $aRESTAURACIÓN DE ECOSISTEMAS
653 $aSHEEP GRAZING
653 $aSIMULATION MODELLING
700 1 $aAGUIAR, M.
700 1 $aWIEGAND, T.
700 1 $aPARUELO, J. M.
773 $tJournal of Applied Ecology, 2019.
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Registro original : |
INIA La Estanzuela (LE) |
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
03/05/2023 |
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Actualizado : |
03/05/2023 |
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Tipo de producción científica : |
Informes Agroclimáticos |
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Autor : |
INIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA); GRAS |
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Afiliación : |
UNIDAD DE AGROCLIMA Y SISTEMAS DE INFORMACIÓN, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Informe agroclimático 2023- Situación a Abril. |
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Fecha de publicación : |
2023 |
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Fuente / Imprenta : |
Montevideo (UY): INIA, 2023. |
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Páginas : |
6 p. |
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Serie : |
(Informe Agroclimático; Año 18, No.04) |
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Idioma : |
Español |
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Notas : |
Equipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García. |
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Contenido : |
Contenido. Síntesis de la Situación Agroclimática de Abril-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas May-Jun-Jul elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Previsión de temperaturas mínimas. Mapas a nivel nacional mostrando una estimación a 3 días de la temperatura mínima a nivel de superficie, así como temperatura mínima del aire (a 2mts. de altura). Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Prevision-de-Temperatura-Minima |
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Palabras claves : |
AGTECH; AGUA DISPONIBLE (PAD); AGUA NO RETENIDA (ANR); BOLETIN AGROCLIMÁTICO; CARACTERIZACIÓN AGROCLIMÁTICA; DIRECCION VIENTO; ESTACIONES AGROMETEOROLOGICAS; ESTACIONES AUTOMATICAS; ESTACIONES INIA; ESTADO DEL TIEMPO; GRAFICAS AGROCLIMATICAS; GRAS; ÍNDICE DE BIENESTAR HÍDRICO (IBH); ÍNDICE DE VEGETACIÓN (NDVI); INFORMACION SATELITAL; INFORME AGROCLIMÁTICO 2023; INUNDACIONES; LLUVIAS DIARIAS; MAXIMA; MEDIA; MINIMA; PANEL SOLAR; PERSPECTIVAS CLIMATICAS; PLUVIOMETRO; PORCENTAJE DE AGUA DISPONIBLE (PAD); PRECIPITACION NACIONAL; PRECIPITACIONES; PREVENCION HELADAS; PRONOSTICO; SENSOR; SISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA; TANQUE A; TERMOCUPLAS; TERMOHIDROGRAFO; VARIABLES AGROCLIMATICAS; VELETA. |
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Thesagro : |
AGROCLIMATOLOGIA; CAMBIO CLIMÁTICO; CLIMA; CLIMATOLOGIA; ESTACIONES METEOROLOGICAS; ESTRES HIDRICO; EVAPOTRANSPIRACION; HUMEDAD; HUMEDAD RELATIVA; LLUVIA; METEOROLOGIA; PERSPECTIVAS; PLUVIOMETROS; PRONOSTICO DEL TIEMPO; SENSORES; SISTEMAS; SISTEMAS DE INFORMACION; SISTEMAS DE INFORMACION GEOGRAFICOS; TEMPERATURA. |
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Asunto categoría : |
P40 Meteorología y climatología |
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URL : |
http://www.inia.uy/Publicaciones/Documentos%20compartidos/Informe%20agroclimatico%20INIA-GRAS%20Abril%20de%202023.pdf
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Marc : |
LEADER 03283nam a2200817 a 4500
001 1064067
005 2023-05-03
008 2023 bl uuuu u0uu1 u #d
100 1 $aINIA (INSTITUTO NACIONAL DE INVESTIGACIÓN AGROPECUARIA)
245 $aInforme agroclimático 2023- Situación a Abril.$h[electronic resource]
260 $aMontevideo (UY): INIA$c2023
300 $a6 p.
490 $a(Informe Agroclimático; Año 18, No.04)
500 $aEquipo de trabajo INIA-GRAS (Unidad de Agtech y sistemas de Información): Adrián Cal, Guadalupe Tiscornia, Carlos Schiavi, Gabriel García.
520 $aContenido. Síntesis de la Situación Agroclimática de Abril-- Perspectivas Climáticas Trimestrales elaboradas por el IRI de la Universidad de Columbia (Más información puede encontrarse en el sitio del IRI: http://www.iri.columbia.edu) -- Índice de Vegetación (NDVI) -- Precipitaciones -- Porcentaje de Agua Disponible (PAD) -- Agua No Retenida (ANR) -- Índice de Bienestar Hídrico (IBH) -- Perspectivas Climáticas May-Jun-Jul elaboradas por el IRI de la Universidad de Columbia. Destacamos para este mes: Previsión de temperaturas mínimas. Mapas a nivel nacional mostrando una estimación a 3 días de la temperatura mínima a nivel de superficie, así como temperatura mínima del aire (a 2mts. de altura). Link directo: http://www.inia.uy/gras/Alertas-y-herramientas/Prevision-de-Temperatura-Minima
650 $aAGROCLIMATOLOGIA
650 $aCAMBIO CLIMÁTICO
650 $aCLIMA
650 $aCLIMATOLOGIA
650 $aESTACIONES METEOROLOGICAS
650 $aESTRES HIDRICO
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 $aSISTEMAS DE INFORMACION GEOGRAFICOS
650 $aTEMPERATURA
653 $aAGTECH
653 $aAGUA DISPONIBLE (PAD)
653 $aAGUA NO RETENIDA (ANR)
653 $aBOLETIN AGROCLIMÁTICO
653 $aCARACTERIZACIÓN AGROCLIMÁTICA
653 $aDIRECCION VIENTO
653 $aESTACIONES AGROMETEOROLOGICAS
653 $aESTACIONES AUTOMATICAS
653 $aESTACIONES INIA
653 $aESTADO DEL TIEMPO
653 $aGRAFICAS AGROCLIMATICAS
653 $aGRAS
653 $aÍNDICE DE BIENESTAR HÍDRICO (IBH)
653 $aÍNDICE DE VEGETACIÓN (NDVI)
653 $aINFORMACION SATELITAL
653 $aINFORME AGROCLIMÁTICO 2023
653 $aINUNDACIONES
653 $aLLUVIAS DIARIAS
653 $aMAXIMA
653 $aMEDIA
653 $aMINIMA
653 $aPANEL SOLAR
653 $aPERSPECTIVAS CLIMATICAS
653 $aPLUVIOMETRO
653 $aPORCENTAJE DE AGUA DISPONIBLE (PAD)
653 $aPRECIPITACION NACIONAL
653 $aPRECIPITACIONES
653 $aPREVENCION HELADAS
653 $aPRONOSTICO
653 $aSENSOR
653 $aSISTEMAS DE INFORMACIÓN Y TRANSFORMACIÓN DIGITAL - INIA
653 $aTANQUE A
653 $aTERMOCUPLAS
653 $aTERMOHIDROGRAFO
653 $aVARIABLES AGROCLIMATICAS
653 $aVELETA
700 1 $aGRAS
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