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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha : |
12/09/2014 |
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Actualizado : |
27/09/2018 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
BAEZA, S.; LEZAMA, F.; PIÑEIRO, G.; ALTESOR, A.; PARUELO, J.M. |
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Afiliación : |
FELIPE LEZAMA HUERTA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Spatial variability of above-ground net primary production in Uruguayan grasslands: A remote sensing approach. |
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Fecha de publicación : |
2010 |
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Fuente / Imprenta : |
Applied Vegetation Science, 2010, v. 13, no. 1 p. 72-85. |
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ISSN : |
1654-109X |
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DOI : |
10.1111/j.1654-109X.2009.01051.x |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 4 November 2008; accepted 16 July 2009. Published in 2010. |
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Contenido : |
Abstract:
Question: How does above-ground net primary production (ANPP) differ (estimated from remotely sensed data) among vegetation units in sub-humid temperate grasslands?
Location: Centre-north Uruguay.
Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation (fPAR), calculated from the normalized difference vegetation index (NDVI) images provided by the moderate resolution imaging spectroradiometer (MODIS) sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data.
Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands
occupied 45% of the area, Meso-hydrophytic grasslands 43% and Lithophytic steppes 6%. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10% higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter (DM) ha 1 yr 1 and Meso-xerophytic grasslands and ithophytic
steppes around 3400 kg DM ha 1 yr 1 . Mesoxerophytic grasslands had the largest spatial variation during most of the year. The ANPP temporal variation was higher than the fPAR variability.
Conclusions: Our results provide valuable information for grazing management (identifying spatial and temporal variations of ANPP) and grassland conservation (identifying the spatial distribution of vegetation units). MenosAbstract:
Question: How does above-ground net primary production (ANPP) differ (estimated from remotely sensed data) among vegetation units in sub-humid temperate grasslands?
Location: Centre-north Uruguay.
Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation (fPAR), calculated from the normalized difference vegetation index (NDVI) images provided by the moderate resolution imaging spectroradiometer (MODIS) sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data.
Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands
occupied 45% of the area, Meso-hydrophytic grasslands 43% and Lithophytic steppes 6%. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10% higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter (DM) ha 1 yr 1 and Meso-xerophytic grassl... Presentar Todo |
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Palabras claves : |
LAND-COVE CLASSIFICATION; NATIVE GRASS-LANDS; NDVI; NORMALIZED DIFFERENCE VETETATION INDEX (NDVI); RADIATION-USE EFFICIENCY; RIO DE LA PLATA GRASSLANDS. |
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Thesagro : |
ESPECIES; IDENTIFICACION; PASTIZAL NATURAL; SISTEMAS GEOGRAFICOS; URUGUAY. |
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Asunto categoría : |
F70 Taxonomía y geografía de las plantas |
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Marc : |
LEADER 03025naa a2200337 a 4500
001 1050200
005 2018-09-27
008 2010 bl uuuu u00u1 u #d
022 $a1654-109X
024 7 $a10.1111/j.1654-109X.2009.01051.x$2DOI
100 1 $aBAEZA, S.
245 $aSpatial variability of above-ground net primary production in Uruguayan grasslands$bA remote sensing approach.$h[electronic resource]
260 $c2010
500 $aArticle history: Received 4 November 2008; accepted 16 July 2009. Published in 2010.
520 $aAbstract: Question: How does above-ground net primary production (ANPP) differ (estimated from remotely sensed data) among vegetation units in sub-humid temperate grasslands? Location: Centre-north Uruguay. Methods: A vegetation map of the study area was generated from LANDSAT imagery and the landscape configuration described. The functional heterogeneity of mapping units was analysed in terms of the fraction of photosynthetically active radiation absorbed by green vegetation (fPAR), calculated from the normalized difference vegetation index (NDVI) images provided by the moderate resolution imaging spectroradiometer (MODIS) sensor. Finally, the ANPP of each grassland class was estimated using NDVI and climatic data. Results: Supervised classification presented a good overall accuracy and moderate to good average accuracy for grassland classes. Meso-xerophytic grasslands occupied 45% of the area, Meso-hydrophytic grasslands 43% and Lithophytic steppes 6%. The landscape was shaped by a matrix of large, unfragmented patches of Meso-xerophytic and Meso-hydrophytic grasslands. The region presented the lowest anthropic fragmentation degree reported for the Rio de la Plata grasslands. All grassland units showed bimodal annual fPAR seasonality, with spring and autumn peaks. Meso-hydrophytic grasslands showed a radiation interception 10% higher than the other units. On an annual basis, Meso-hydrophytic grasslands produced 3800 kg dry matter (DM) ha 1 yr 1 and Meso-xerophytic grasslands and ithophytic steppes around 3400 kg DM ha 1 yr 1 . Mesoxerophytic grasslands had the largest spatial variation during most of the year. The ANPP temporal variation was higher than the fPAR variability. Conclusions: Our results provide valuable information for grazing management (identifying spatial and temporal variations of ANPP) and grassland conservation (identifying the spatial distribution of vegetation units).
650 $aESPECIES
650 $aIDENTIFICACION
650 $aPASTIZAL NATURAL
650 $aSISTEMAS GEOGRAFICOS
650 $aURUGUAY
653 $aLAND-COVE CLASSIFICATION
653 $aNATIVE GRASS-LANDS
653 $aNDVI
653 $aNORMALIZED DIFFERENCE VETETATION INDEX (NDVI)
653 $aRADIATION-USE EFFICIENCY
653 $aRIO DE LA PLATA GRASSLANDS
700 1 $aLEZAMA, F.
700 1 $aPIÑEIRO, G.
700 1 $aALTESOR, A.
700 1 $aPARUELO, J.M.
773 $tApplied Vegetation Science, 2010$gv. 13, no. 1 p. 72-85.
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Registro original : |
INIA Treinta y Tres (TT) |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
29/06/2017 |
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Actualizado : |
29/06/2017 |
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Tipo de producción científica : |
Artículos en Revistas Agropecuarias |
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Autor : |
GIMÉNEZ, A.; BAETHGEN, W.; CAL, A.; CECCATO, P.; TISCORNIA, G.; PISÓN, A. |
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Afiliación : |
AGUSTIN EDUARDO GIMÉNEZ FUREST, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; WALTER E. BAETHGEN, Universidad de Columbia/ IRI (International Research Institute for Climate and Society); ADRIAN TABARE CAL ALVAREZ, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; PIETRO CECCATO, Universidad de Columbia/ IRI (International Research Institute for Climate and Society); GUADALUPE TISCORNIA TOSAR, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; ANDRÉS PISÓN, Asesor Privado. |
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Título : |
Utilización integrada de teledetección y modelación para la identificación de cultivos y estimación futura del rendimiento de grano. |
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Fecha de publicación : |
2017 |
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Fuente / Imprenta : |
Revista INIA Uruguay, 2017, no.49, p.45-49. |
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Serie : |
(Revista INIA; 49) |
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ISSN : |
1510-9011 |
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Idioma : |
Español |
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Contenido : |
En este artículo se presenta un resumen de parte de los resultados obtenidos en el proyecto ?Desarrollo de un Sistema de Monitoreo y Pronóstico de la Producción de Cultivos para la Previsión y Manejo de Riesgos Climáticos?, ejecutado conjuntamente por el GRAS y el IRI, así como también de actividades realizadas en el marco del proyecto ?Desarrollo de un Sistema Nacional de Información Agropecuaria (SNIA)? del Ministerio de Ganadería, Agricultura y Pesca (MGAP) y del proyecto ?GRAS 08: contribución al SNIA? del INIA. En todos los casos, las actividades fueron llevadas a cabo por el equipo técnico interinstitucional INIA GRAS ? IRI ? MGAP SNIA. |
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Palabras claves : |
SISTD (SISTEMA DE INFORMACIÓN PARA LA TOMA DE DECISIONES). |
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Thesagro : |
CLIMA; SISTEMAS DE INFORMACION GEOGRAFICOS. |
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Asunto categoría : |
P40 Meteorología y climatología |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/6940/1/Rev.INIA-2017-No49-p.45-49.pdf
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Marc : |
LEADER 01412naa a2200241 a 4500
001 1057317
005 2017-06-29
008 2017 bl uuuu u00u1 u #d
022 $a1510-9011
100 1 $aGIMÉNEZ, A.
245 $aUtilización integrada de teledetección y modelación para la identificación de cultivos y estimación futura del rendimiento de grano.
260 $c2017
490 $a(Revista INIA; 49)
520 $aEn este artículo se presenta un resumen de parte de los resultados obtenidos en el proyecto ?Desarrollo de un Sistema de Monitoreo y Pronóstico de la Producción de Cultivos para la Previsión y Manejo de Riesgos Climáticos?, ejecutado conjuntamente por el GRAS y el IRI, así como también de actividades realizadas en el marco del proyecto ?Desarrollo de un Sistema Nacional de Información Agropecuaria (SNIA)? del Ministerio de Ganadería, Agricultura y Pesca (MGAP) y del proyecto ?GRAS 08: contribución al SNIA? del INIA. En todos los casos, las actividades fueron llevadas a cabo por el equipo técnico interinstitucional INIA GRAS ? IRI ? MGAP SNIA.
650 $aCLIMA
650 $aSISTEMAS DE INFORMACION GEOGRAFICOS
653 $aSISTD (SISTEMA DE INFORMACIÓN PARA LA TOMA DE DECISIONES)
700 1 $aBAETHGEN, W.
700 1 $aCAL, A.
700 1 $aCECCATO, P.
700 1 $aTISCORNIA, G.
700 1 $aPISÓN, A.
773 $tRevista INIA Uruguay, 2017, no.49, p.45-49.
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INIA Las Brujas (LB) |
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