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3. | | Piñeiro, G.; Paruelo, J.M.; Oesterheld, M.O. Estimación regional de la productividad del campo natural mediante sensores remotos ln: Reunión del Grupo Técnico Regional del Cono Sur en Mejoramiento y Utilización de los Recursos Forrajeros del Area Tropical y Subtropical, Grupo Campos, 20., 2004, Salto, UY Saldanha, S.; Bemhaja, M.; Moliterno, E.; Olmos, F.; Uriarte, G., ed. Sustentabilidad, desarrollo y conservación de los ecosistemas : memorias. Salto: UdelaR. Regional Norte, 2004. p. 243-244Biblioteca(s): INIA La Estanzuela. |
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5. | | PARUELO, J.M.; PIÑEIRO, G.; ALTESOR, A.I.; RODRÍGUEZ, C.; OESTERHELD, M. Cambios estructurales y funcionales asociados al pastoreo en los pastizales del Río de la Plata. ln: Reunión del Grupo Técnico Regional del Cono Sur en Mejoramiento y Utilización de los Recursos Forrajeros del Area Tropical y Subtropical, Grupo Campos, 20., 2004, Salto, UY Saldanha, S.; Bemhaja, M.; Moliterno, E.; Olmos, F.; Uriarte, G., ed. Sustentabilidad, desarrollo y conservación de los ecosistemas : memorias. Salto: UdelaR. Regional Norte, 2004. p. 53-60.Biblioteca(s): INIA La Estanzuela. |
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6. | | PARUELO, J.M.; PIÑEIRO, G.; BALDI, G.; BAEZA, S.; LEZAMA, F.; ALTESOR, A.; OESTERHELD, M. Carbon stocks and fluxes in rangelands of the Río de la plata basin. Rangeland Ecology & Management, 2010, v. 63, no. 1 p. 94-108. 63 Article history: Manuscript received 17 March 2008; manuscript accepted 3 April 2009.Biblioteca(s): INIA Treinta y Tres. |
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7. | | PINTO, P.; SAWCHIK, J.; TERRA, J.A.; AYALA, W.; SILVA, L.; BARRIOS, E.; PIÑEIRO, G. C4P106: Cultivos de servicios: ¿cómo afectan la dinámica de la materia orgánica del suelo?. In: Congreso Argentino de la Ciencia del Suelo San Miguel de Tucumán, 26º., 15 18 Mayo, 2018. p.473-478.Biblioteca(s): INIA La Estanzuela. |
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8. | | ALTESOR, A.; PIÑEIRO, G.; LEZAMA, F.; JACKSON, R.B; SARASOLA, M.; PARUELO, J. Ecosystem changes associated with grazing in subhumid South American grasslands. Journal of Vegetation Science, June 2006, Volume 17, Issue 3, Pages 323-332. Doi: https://doi.org/10.1111/j.1654-1103.2006.tb02452.x Article history: Received 20 September 2005; Accepted 16 January 2006; Issue Online 24 February 2006; Version of Record online 24 February 2006.Biblioteca(s): INIA Las Brujas. |
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9. | | Lezama, F.; Baeza, S.; Altesor, A.; Paruelo, J.; Piñeiro, G.; León, R. Distribución espacial de las comunidades de pastizal en la región basáltica (Uruguay) ln: Reunión del Grupo Técnico Regional del Cono Sur en Mejoramiento y Utilización de los Recursos Forrajeros del Area Tropical y Subtropical, Grupo Campos, 20., 2004, Salto, UY Saldanha, S.; Bemhaja, M.; Moliterno, E.; Olmos, F.; Uriarte, G., ed. Sustentabilidad, desarrollo y conservación de los ecosistemas : memorias. Salto: UdelaR. Regional Norte, 2004. p. 241-242Biblioteca(s): INIA La Estanzuela. |
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14. | | PARUELO, J.M.; GUERSCHMAN, J.P; PIÑEIRO, G.; JOBBÁGY, E.G.; VERÓN, S.R; BALDI, G.; BAEZA, S Cambios en el uso de la tierra en Argentina y Uruguay: marcos conceptuales para su análisis. Agrociencia Uruguay, 2006, 10 (2): 47-61 Article history: Recibido: 20/03/06 Aceptado: 14/08/06. AGRADECIMIENTOS: Alice Altesor hizo importantes aportes a una versión previa del manuscrito. Este trabajo fue realizado con el
aporte de la UBA, el FONCYT, y el CONICET.Biblioteca(s): INIA Tacuarembó. |
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15. | | BALDASSINI, P.; BAETHGEN, W.; CAMBA SANS, G.; QUINCKE, A.; PRAVIA, V.; TERRA, J.A.; MACEDO, F.; PIÑEIRO, G.; PARUELO, J. Carbon stocks and potential sequestration of Uruguayan soils. A road map to a comprehensive characterization of temporal and spatial changes to assess Carbon footprint. Original research. Frontiers in Sustainable Food Systems. 2023, Volume 7. https://doi.org/10.3389/fsufs.2023.1045734 Article history: Received 16 Sep 2022; Accepted 25 May 2023; Published 20 July 2023. -- Correspondence: Dr. Pablo Baldassini, Instituto Nacional de Investigación Agropecuaria, INIA La Estanzuela, Colonia, Uruguay. -- Edited by: Bruno José...Biblioteca(s): INIA Las Brujas. |
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16. | | PINTO, P.; SAWCHIK, J.; TERRA, J.A.; AYALA, W.; SILVA, L.C.DA; BARRIOS, E.; PIÑEIRO, G. Formación y descomposición de la materia orgánica del suelo bajo distintos cultivos de cobertura. [Poster]. In: Congreso Argentino de la Ciencia del Suelo. (15o. 2016, Río Cuarto , Córdoba).Ordenamiento Territorial: un desafío para la Ciencia del Suelo. Río Cuarto: AACS, Universidad Nacional de Río Cuarto, 2016.Biblioteca(s): INIA La Estanzuela. |
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17. | | KRUK, C.; SEGURA, A.; PIÑEIRO, G.; BALDASSINI, P.; PÉREZ-BECOÑA, L.; GARCÍA-RODRÍGUEZ, F.; PERERA, G.; PICCINI, C. Rise of toxic cyanobacterial blooms is promoted by agricultural intensification in the basin of a large subtropical river of South America. Global Change Biology, 2023, volume 29, issue 7, pp. 1774-1790. doi: https://doi.org/10.1111/gcb.16587 Article history: Received 6 July 2022, Accepted 27 November 2022, First published online 06 January 2023. -- Corresponde author: Kruk, C.; Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Udelar, Uruguay;...Biblioteca(s): INIA Las Brujas. |
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18. | | JOBBÁGY, E.G.; VASALLO, M.; FARLEY, K. A.; PIÑEIRO, G.; GARBULSKY, M. F; NOSETTO, M. D; JACKSON, R.B.; PARUELO, J. M Forestación en pastizales: hacia una visión integral de sus oportunidades y costos ecológicos. Agrociencia Uruguay, 2006, 10(2):109-124. PP/Agrociencia Uruguay/2006 Recibido: 20/03/06 Aceptado: 25/10/06Biblioteca(s): INIA Tacuarembó. |
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19. | | CARVALHO, P. C. DE FACCIO; SAVIAN, J.V.; DELLA CHIESA, T.; DE SOUZA FILHO, W.; TERRA, J.A.; PINTO, P.; POSSELT MARTINS, A.; VILLARINO, S.S; DA TRUBDADE, J. K.; ALBUQUERQUE NUNEZ, P. A.; PIÑEIRO, G. Land-use intensification trends in the Rio de la Plata region of South America: toward specialization or recoupling crop and livestock production. Review. Frontiers of Agricultural Science and Engineering, 2021, 14 p. DOI: 10.15302/j-fase-2020380 Article history: Received 12 November 2020. Accepted 13 January 2021.Biblioteca(s): INIA Treinta y Tres. |
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20. | | SAWCHIK, J.; SIRI, G.; AYALA, W.; BARRIOS, E.; BUSTAMANTE, M.; CERIANI, M.; GUTIERREZ, F.; MOSQUEIRA, J.; OTAÑO, C.; PÉREZ, M.; PIÑEIRO, G.; PINTO, P.; TERRA, J.A.; ZARZA, R. El sistema agrícola bajo amenaza: ¿qué aportan los cultivos de cobertura y/o las pasturas cortas? In: Ribeiro, A.; Barbazán, M., eds. Simposio Nacional de Agricultura, 4; Encuentro de la SUCS, 7; Encuentro Regional de Políticas de la Conservación de Suelos. (2015, Paysandú, UY). Buscando el camino para la intensificación sostenible para la agricultura. Paysandú: Facultad de Agronomía, 2015. p. 149-168.Biblioteca(s): INIA Treinta y Tres. |
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| Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA Treinta y Tres. |
Fecha actual : |
12/09/2014 |
Actualizado : |
27/09/2018 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
B - 1 |
Autor : |
BAEZA, S.; LEZAMA, F.; PIÑEIRO, G.; ALTESOR, A.; PARUELO, J.M. |
Afiliación : |
FELIPE LEZAMA HUERTA, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
Título : |
Spatial variability of above-ground net primary production in Uruguayan grasslands: A remote sensing approach. |
Fecha de publicación : |
2010 |
Fuente / Imprenta : |
Applied Vegetation Science, 2010, v. 13, no. 1 p. 72-85. |
ISSN : |
1654-109X |
DOI : |
10.1111/j.1654-109X.2009.01051.x |
Idioma : |
Inglés |
Notas : |
Article history: Received 4 November 2008; accepted 16 July 2009. Published in 2010. |
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 |
Palabras claves : |
LAND-COVE CLASSIFICATION; NATIVE GRASS-LANDS; NDVI; NORMALIZED DIFFERENCE VETETATION INDEX (NDVI); RADIATION-USE EFFICIENCY; RIO DE LA PLATA GRASSLANDS. |
Thesagro : |
ESPECIES; IDENTIFICACION; PASTIZAL NATURAL; SISTEMAS GEOGRAFICOS; URUGUAY. |
Asunto categoría : |
F70 Taxonomía y geografía de las plantas |
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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