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| 7. |  | PARUELO, J.; SIERRA, M. Sustainable intensification and ecosystem services: how to connect them in agricultural systems of southern South America. Journal of Environmental Studies and Sciences, 2023, volume 13, issue 1, pp. 198-206. doi: https://doi.org/10.1007/s13412-022-00791-9 Article history: Accepted 01 August 2022; Published 18 August 2022. Corresponding author: José M. Paruelo, Instituto Nacional de Investigación Agropecuaria, INIA,
Colonia, Uruguay, e-mail: jparuelo@inia.org.uy --| Biblioteca(s): INIA Las Brujas. |
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| 14. | | LEZAMA, F.; ALTESOR, A.; PARUELO, J. Caracterización de comunidades de campo natural de la Región de Sierras del Este In: INIA TREINTA Y TRES. Jornada de divulgación de Producción Animal - Pasturas Treinta y Tres (Uruguay): INIA, 2009 p. 1-6 (INIA Serie Actividades de Difusión ; 591) Programa Nacional Pasturas y Forrajes: Ing. Agr., PhD. Walter Ayala, Director de Programa, Ing. Agr., MPhil. Raúl Bermúdez, Ing. Agr., MSc. Virginia Pravia, Lic., MSc. Felipe Lezama, Téc. en Sistemas Intensivos de Prod.Animal Ethel...| Biblioteca(s): INIA Las Brujas; INIA Tacuarembó. |
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| 17. | | PARUELO, J.; OESTERHELD, M.; GRIGERA, G. Evaluación de recursos forrajeros mediante sensores ln: Seminario de discusión técnica: la variabilidad climática y el funcionamiento de los sistemas ganaderos, 2006, Paysandú, Uruguay Paruelo, J.; Oesterheld, M.; Grigera, G. Trabajos presentados. Paysandú (Uruguay): EEMAC, 2006. 9:00 PM Universidad de la República (Uruguay). Facultad de Agronomía. Estación Experimental Dr. Mario A. Cassinoni (EEMAC)| Biblioteca(s): INIA Tacuarembó. |
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| 18. | | Leoni, E.; Paruelo, J.; Altesor, A. Efecto del pastoreo sobre las tasas de crecimiento relativo en gramíneas dominantes 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. 249-250| Biblioteca(s): INIA La Estanzuela. |
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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha actual : |
17/03/2020 |
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Actualizado : |
17/03/2020 |
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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 : |
BAEZA, S.; PARUELO, J. |
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Afiliación : |
SANTIAGO BAEZA, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Facultad de Ciencias, Universidad de la República, Mdeo, Uruguay; Depto. Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía and IFEVA, UBA and CONICET, Bs.As., Argentina. |
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Título : |
Land use/land cover change (2000-2014) in the Rio de la Plata grasslands: An analysis based on MODIS NDVI time series. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Remote Sensing, 1 February 2020, Volume 12, Issue 3, Article number 381. OPEN ACCESS. Doi: https://doi.org/10.3390/rs12030381 |
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ISSN : |
2072-4292 |
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DOI : |
10.3390/rs12030381 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received: 13 November 2019 / Revised: 10 January 2020 / Accepted: 15 January 2020 / Published: 24 January 2020.
Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Garzón 780, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy
Funding text: This research was supported on doctoral fellowships for ANII and CAP UdelaR, Uruguay (Baeza); by a grant from the Inter-American Institute for Global Change Research (IAI) CRN3095 which is supported by the US National Science Foundation (Grant GEO-1128040); by FONCYT, CONICET and UBACYT (Argentina) and by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811. The authors would like to thank Priscilla Pinto, Pablo Baldassini and Camilo Bagnato for their help with the C5 software. We thank Rocksy Zhang and three anonymous reviewers for their support and comments. |
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Contenido : |
ABSTRACT.
Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of the regions in the world with the highest rates of change in land use/land cover (LULC) in recent times. Despite the magnitude of this change process, LULC descriptions in the RPG are far from being complete, even more those that evaluate LULC change through time. In this work we described LULC and its changes over time for the first 14 years of the 21st century and for the entire grassland biome of the Rio de la Plata, one of the most extensive grassland regions in the world. We performed simple but exhaustive classifications at regional level based on vegetation phenology, using extensive LULC field database, time series of MODIS NDVI satellite images and decision trees classifiers, generating an annual map for all RPG. The used technique achieved very good levels of accuracy at the regional (94.3%-95.5%) and sub-regional (78.2%-97.6%) scales, with commission and omission errors generally low (Min = 0.6, Max = 10.3, Median = 5.7, and Min = 0, Max = 41.8, Median = 6.8 for regional and sub regional classification respectively) and evenly distributed, but fails when LULC classifications are generated in years when the climate is very different from those used to generate spectral signatures and train decision trees, or when the NDVI time series accumulates large volumes of lost data. Our results show that the RPG are immersed in a strong process of land use change, mainly due to the advance of the agricultural frontier and at the expense of loss of grassland areas. The agricultural area increased 23% in the analyzed period, adding over than 50,000 Km2 of new crops. Most agricultural expansion, and therefore the greatest losses of grassland, concentrates on both sides of Uruguay river (Mesopotamic Pampa and the western portion of Southern and Northern Campos) and the western portion of Inland Pampa. The generated maps open the door for more detailed and spatially explicit modeling of many important aspects of ecosystem functioning, for quantification in the provision of ecosystem services and for more efficient management of natural resources. © 2020 by the authors. MenosABSTRACT.
Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of the regions in the world with the highest rates of change in land use/land cover (LULC) in recent times. Despite the magnitude of this change process, LULC descriptions in the RPG are far from being complete, even more those that evaluate LULC change through time. In this work we described LULC and its changes over time for the first 14 years of the 21st century and for the entire grassland biome of the Rio de la Plata, one of the most extensive grassland regions in the world. We performed simple but exhaustive classifications at regional level based on vegetation phenology, using extensive LULC field database, time series of MODIS NDVI satellite images and decision trees classifiers, generating an annual map for all RPG. The used technique achieved very good levels of accuracy at the regional (94.3%-95.5%) and sub-regional (78.2%-97.6%) scales, with commission and omission errors generally low (Min = 0.6, Max = 10.3, Median = 5.7, and Min = 0, Max = 41.8, Median = 6.8 for regional and sub regional classification respectively) and evenly distributed, but fails when LULC classifications are generated in years when the climate is very different from those used to generate spectral signatures and train decision trees, or when the NDVI time series accumulates large volumes of lost data. Our results show that the RPG are immersed in a strong process of land use change, mainly due... Presentar Todo |
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Palabras claves : |
Grassland losses; MODIS NDVI; Phenological classifications; Rio de la Plata grassslands. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/14312/1/remotesensing-12-00381-v2.pdf
https://www.mdpi.com/2072-4292/12/3/381/pdf
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Marc : |
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022 $a2072-4292
024 7 $a10.3390/rs12030381$2DOI
100 1 $aBAEZA, S.
245 $aLand use/land cover change (2000-2014) in the Rio de la Plata grasslands$bAn analysis based on MODIS NDVI time series.$h[electronic resource]
260 $c2020
500 $aArticle history: Received: 13 November 2019 / Revised: 10 January 2020 / Accepted: 15 January 2020 / Published: 24 January 2020. Corresponding author: Baeza, S.; Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Garzón 780, Montevideo, Uruguay; email:sbaeza@fagro.edu.uy Funding text: This research was supported on doctoral fellowships for ANII and CAP UdelaR, Uruguay (Baeza); by a grant from the Inter-American Institute for Global Change Research (IAI) CRN3095 which is supported by the US National Science Foundation (Grant GEO-1128040); by FONCYT, CONICET and UBACYT (Argentina) and by ANII INNOVAGRO projects FSA_PI_2018_1_149022 and FSA_PI_2018_1_148811. The authors would like to thank Priscilla Pinto, Pablo Baldassini and Camilo Bagnato for their help with the C5 software. We thank Rocksy Zhang and three anonymous reviewers for their support and comments.
520 $aABSTRACT. Latin America in general and the Rio de la Plata Grasslands (RPG) in particular, are one of the regions in the world with the highest rates of change in land use/land cover (LULC) in recent times. Despite the magnitude of this change process, LULC descriptions in the RPG are far from being complete, even more those that evaluate LULC change through time. In this work we described LULC and its changes over time for the first 14 years of the 21st century and for the entire grassland biome of the Rio de la Plata, one of the most extensive grassland regions in the world. We performed simple but exhaustive classifications at regional level based on vegetation phenology, using extensive LULC field database, time series of MODIS NDVI satellite images and decision trees classifiers, generating an annual map for all RPG. The used technique achieved very good levels of accuracy at the regional (94.3%-95.5%) and sub-regional (78.2%-97.6%) scales, with commission and omission errors generally low (Min = 0.6, Max = 10.3, Median = 5.7, and Min = 0, Max = 41.8, Median = 6.8 for regional and sub regional classification respectively) and evenly distributed, but fails when LULC classifications are generated in years when the climate is very different from those used to generate spectral signatures and train decision trees, or when the NDVI time series accumulates large volumes of lost data. Our results show that the RPG are immersed in a strong process of land use change, mainly due to the advance of the agricultural frontier and at the expense of loss of grassland areas. The agricultural area increased 23% in the analyzed period, adding over than 50,000 Km2 of new crops. Most agricultural expansion, and therefore the greatest losses of grassland, concentrates on both sides of Uruguay river (Mesopotamic Pampa and the western portion of Southern and Northern Campos) and the western portion of Inland Pampa. The generated maps open the door for more detailed and spatially explicit modeling of many important aspects of ecosystem functioning, for quantification in the provision of ecosystem services and for more efficient management of natural resources. © 2020 by the authors.
653 $aGrassland losses
653 $aMODIS NDVI
653 $aPhenological classifications
653 $aRio de la Plata grassslands
700 1 $aPARUELO, J.
773 $tRemote Sensing, 1 February 2020, Volume 12, Issue 3, Article number 381. OPEN ACCESS. Doi: https://doi.org/10.3390/rs12030381
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