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| Registros recuperados : 11 | |
| 1. |  | Haretche, F.; Rodríguez, C. Efecto del pastoreo sobre el banco de semillas de una pradera natural : una aproximación funcional 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. 159-160| Biblioteca(s): INIA La Estanzuela. |
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| 8. | | 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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| 9. | | MIGUES, I.; CESIO, V.; GÁMBARO, A.; MOYNA, G.; RODRÍGUEZ, C.; LADO, J.; RIVAS, F.; HEINZEN, H. NMR metabolomics as a prediction tool for consumers acceptance of mandarins. (SI-O-7) [oral presentation]. Session I: Breeding, Genomics and Genetics. In: RIivas, F. (Ed.). IV International Symposium on Citrus Biotechnology. Book of Abstracts. Montevideo (UY): INIA. p. 17. (INIA Serie Técnica; 244).| Biblioteca(s): INIA Las Brujas. |
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| 10. | | BRIANO-RODRÍGUEZ, C.; ROMERO, A.; LLAMBÍ, S.; BRANDA, A.; FEDERICI, M.; GIANNITTI, F.; CAFFARENA, D.; SCHILD, C.; CASAUX, M.L.; DUTRA, F. Lethal and semi-lethal mutations in Holstein calves in Uruguay. [Mutações letais e semi-letais em bezerros da raça Holandesa no Uruguai.] Animal Production. Ciencia Rural, 2021, Volume 51, Issue 7, Article number e20200734. OPEN ACCESS. Doi: https://doi.org/10.1590/0103-8478cr20200734 Article history: Received: August 07, 2020; Accepted: November 23, 2020; Revised: February 23, 2021.
This research was funded by grant N-15156 of the uruguayan Instituto Nacional de Investigación Agropecuaria (INIA).| Biblioteca(s): INIA Las Brujas. |
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| 11. | | PÉREZ, A.; ALONSO, B.; ERNST, F.; RODRÍGUEZ, C.; CESIO, V.; HEINZEN, H.; COLAZZO, M.; PAREJA, L.; PEREIRA, A.; MÁRQUEZ, A.; ERRICO, E. Residuos de plaguicidas en compartimentos ambientales. Montevideo (UY): INIA, 2020. 30 p. (Serie FPTA-INIA; 90) Proyecto FPTA 324: "Estudio del impacto de las actuales prácticas agrícolas en los recursos hídricos del bajo Río Negro y Esteros de Farrapos.". Período de ejecución: Mayo 2014 - Junio 2017. Institución Ejecutora: Universidad de la...| Biblioteca(s): INIA Las Brujas. |
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 | Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA La Estanzuela. |
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Fecha actual : |
16/08/2019 |
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Actualizado : |
01/06/2020 |
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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 : |
VALLEJOS, M.; AGUIAR, S.; BALDI, G.; MASTRÁNGELO, M.E.; GALLEGO, F.; PACHECO-ROMERO, M; ALCARAZ-SEGURA, D.; PARUELO, J. |
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Afiliación : |
MARÍA VALLEJOS, Laboratorio de Análisis Regional y Teledetección,IFEVA, Facultad de Agronomía Universidad de Buenos Aires, CONICET./Departamento de Métodos Cuantitativos y Sistemas de Información// INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay.; Laboratorio de Análisis Regional y Teledetección (LART), IFEVA, Facultad de Agronomía Universidad de Buenos Aires, CONICET Buenos Aires Argentina/Cátedra de Ecología, Facultad de Agronomía Universidad de Buenos AiresBuenos Aires Argentina.; Instituto de Matemática Aplicada San Luis Universidad Nacional de San Luis and CONICET San Luis Argentina.; Instituto de Matemática Aplicada San Luis Universidad Nacional de San Luis and CONICET San Luis Argentina.; Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales Universidad de la República Montevideo Uruguay.; Departamento de Biología y Geología Universidad de Almería Almería Spain./Centro Andaluz para la Evaluación y Seguimiento del Cambio Global Universidad de Almería,Spain.; Centro Andaluz para la Evaluación y Seguimiento del Cambio Global Universidad de Almería,Spain./Departamen de Botánica, Facultad de Ciencias Universidad de Granad.// Interuniversitary Institute for Earth System Research (IISTA).; JOSÉ PARUELO, Laboratorio de Análisis Regional y Teledetección (LART),CONICET,Argentina/.Departamento de Métodos Cuantitativos y Sist./INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay. |
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Título : |
Social-ecological functional types: connecting people and ecosystems in the Argentine Chaco. |
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Fecha de publicación : |
2020 |
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Fuente / Imprenta : |
Ecosystems, 1 April 2020, Volume 23, Issue 3, Pages 471-484. Doi: https://doi.org/10.1007/s10021-019-00415-4 |
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ISSN : |
e-1435-0629 |
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DOI : |
10.1007/s10021-019-00415-4 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 10 January 2019// Accepted 21 June 2019//First Online 09 July 2019. |
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Contenido : |
Abstract:
Sustainability science recognizes the importance of the integrated assessment of the ecological and social systems in land-use planning. However, most studies so far have been conceptual rather than empirical. We developed a framework to characterize the social-ecological systems heterogeneity according to its functioning through the identification of social?ecological functional types (SEFT). The SEFT framework builds on the plant, ecosystem and agent functional type approaches, taking a step forward to integrate the dimensions of social?ecological systems into an operational product to characterize administrative units in a hierarchical way. To illustrate this novel framework, we described the heterogeneity of SEFT in the Argentine Chaco by clustering administrative entities. This area is a global deforestation hotspot and has diverse social actors that harness ecosystem services in multiple, and sometimes contrasting and conflictive, ways which determines an urgent need for land-use planning. We combined data from national census and remote sensing to identify SEFT by clustering census tracts based on 17 input variables that integrate key human, ecological and interaction processes across landscapes. We identified three classes and eight subclasses of SEFT. Ecological variables defined the first level of heterogeneity (classes), while human variables and the variables of interactions between the human and ecological components defined a second level of heterogeneity (subclasses). The degree of anthropization and mean annual productivity were important variables to explain the first two axes in the ordination (32% of the total variance). This framework offers a conceptually novel and comprehensive approach to understand the spatial heterogeneity of social?ecological systems functioning, which could play a pivotal role to support conservation or land-use planning in rural areas. MenosAbstract:
Sustainability science recognizes the importance of the integrated assessment of the ecological and social systems in land-use planning. However, most studies so far have been conceptual rather than empirical. We developed a framework to characterize the social-ecological systems heterogeneity according to its functioning through the identification of social?ecological functional types (SEFT). The SEFT framework builds on the plant, ecosystem and agent functional type approaches, taking a step forward to integrate the dimensions of social?ecological systems into an operational product to characterize administrative units in a hierarchical way. To illustrate this novel framework, we described the heterogeneity of SEFT in the Argentine Chaco by clustering administrative entities. This area is a global deforestation hotspot and has diverse social actors that harness ecosystem services in multiple, and sometimes contrasting and conflictive, ways which determines an urgent need for land-use planning. We combined data from national census and remote sensing to identify SEFT by clustering census tracts based on 17 input variables that integrate key human, ecological and interaction processes across landscapes. We identified three classes and eight subclasses of SEFT. Ecological variables defined the first level of heterogeneity (classes), while human variables and the variables of interactions between the human and ecological components defined a second level of heterogen... Presentar Todo |
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Palabras claves : |
FUNCTIONAL TYPES; HIERARCHICAL ANALYSIS; LAND-USE PLANNING; REMOTE SENSING; SENSORAMIENTO REMOTO; SISTEMAS SOCIALES-ECOLOGICOS; SOCIAL-ECOLOGICAL SYSTEMS. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03027naa a2200325 a 4500
001 1060016
005 2020-06-01
008 2020 bl uuuu u00u1 u #d
022 $ae-1435-0629
024 7 $a10.1007/s10021-019-00415-4$2DOI
100 1 $aVALLEJOS, M.
245 $aSocial-ecological functional types$bconnecting people and ecosystems in the Argentine Chaco.$h[electronic resource]
260 $c2020
500 $aArticle history: Received 10 January 2019// Accepted 21 June 2019//First Online 09 July 2019.
520 $aAbstract: Sustainability science recognizes the importance of the integrated assessment of the ecological and social systems in land-use planning. However, most studies so far have been conceptual rather than empirical. We developed a framework to characterize the social-ecological systems heterogeneity according to its functioning through the identification of social?ecological functional types (SEFT). The SEFT framework builds on the plant, ecosystem and agent functional type approaches, taking a step forward to integrate the dimensions of social?ecological systems into an operational product to characterize administrative units in a hierarchical way. To illustrate this novel framework, we described the heterogeneity of SEFT in the Argentine Chaco by clustering administrative entities. This area is a global deforestation hotspot and has diverse social actors that harness ecosystem services in multiple, and sometimes contrasting and conflictive, ways which determines an urgent need for land-use planning. We combined data from national census and remote sensing to identify SEFT by clustering census tracts based on 17 input variables that integrate key human, ecological and interaction processes across landscapes. We identified three classes and eight subclasses of SEFT. Ecological variables defined the first level of heterogeneity (classes), while human variables and the variables of interactions between the human and ecological components defined a second level of heterogeneity (subclasses). The degree of anthropization and mean annual productivity were important variables to explain the first two axes in the ordination (32% of the total variance). This framework offers a conceptually novel and comprehensive approach to understand the spatial heterogeneity of social?ecological systems functioning, which could play a pivotal role to support conservation or land-use planning in rural areas.
653 $aFUNCTIONAL TYPES
653 $aHIERARCHICAL ANALYSIS
653 $aLAND-USE PLANNING
653 $aREMOTE SENSING
653 $aSENSORAMIENTO REMOTO
653 $aSISTEMAS SOCIALES-ECOLOGICOS
653 $aSOCIAL-ECOLOGICAL SYSTEMS
700 1 $aAGUIAR, S.
700 1 $aBALDI, G.
700 1 $aMASTRÁNGELO, M.E.
700 1 $aGALLEGO, F.
700 1 $aPACHECO-ROMERO, M
700 1 $aALCARAZ-SEGURA, D.
700 1 $aPARUELO, J.
773 $tEcosystems, 1 April 2020, Volume 23, Issue 3, Pages 471-484. Doi: https://doi.org/10.1007/s10021-019-00415-4
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