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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
Fecha : |
27/09/2022 |
Actualizado : |
27/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
ZARBÁ, L.; PIQUER-RODRÍGUEZ, M.; BOILLAT, S.; LEVERS, C.; GASPARRI, I.; AIDE, T. M.; ÁLVAREZ-BERRÍOS, N. L.; ANDERSON, L. O.; ARAOZ, E.; ARIMA, E.; BATISTELLA, M.; CALDERÓN-LOOR, M.; ECHEVERRÍA, C.; GONZALEZ-ROGLICH, M.; JOBBÁGY, E. G.; MATHEZ-STIEFEL, S.-L.; RAMIREZ-REYES, C-; PACHECHO, A.; VALLEJOS, M.; YOUNG, K. R.; GRAU, R. |
Afiliación : |
LUCÍA ZARBÁ, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina.; MARÍA PIQUER-RODRÍGUEZ, Instituto Ecología Regional (IER), Univ. Nacional de Tucumán (UNT). Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; Lateinamerika-Institut, Freie Universität Berlin, Germany; Geography Department, Humbold, Germany; SÉBASTIEN BOILLAT, Institute of Geography, University of Bern, Bern, Switzerland; CHRISTIAN LEVERS, Depart. Environmental Geography, Inst. for Environmental Studies, Vrije Univ. Amsterdam, Netherlands; Inst. for Resources, Environment and Sustainability, Univ. of British Columbia, Vancouver, BC, Canada; School of Public Policy and Global Affairs, Univ.; IGNACIO GASPARRI, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; T. MITCHELL AIDE, Department of Biology, University of Puerto Rico-Rio Piedras, Puerto Rico; NORA L. ÁLVAREZ-BERRÍOS, USDA Forest Service, International Institute of Tropical Forestry, Río Piedras, Puerto Rico; LIANA O. ANDERSON, National Center for Monitoring and Early Warning of Natural Disasters-CEMADEN, Ministry of Science, Technology and Innovation-MCTI, Brazil; EZEQUIEL ARAOZ, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina; EUGENIO ARIMA, Department of Geography and the Environment, University of Texas at Austin, United States; MATEUS BATISTELLA, Brazilian Agricultural Research Corporation (Embrapa Agricultural Informatics) State University of Campinas (Unicamp), Brazil; MARCO CALDERÓN-LOOR, Centre for Integrative Ecology, School of Life and Environmental Sciences, Deakin University, Melbourne, Australia;Grupo de Investigación de Biodiversidad, Medio Ambiente y Salud-BIOMAS, Universidad de las Américas (UDLA), Quito, Ecuador; CRISTIAN ECHEVERRÍA, Landscape Ecology Laboratory, Facultad de Ciencias Forestales, Universidad de Concepción, Chile; Millennium Nucleus Center for the Socioeconomic Impact of Environmental Policies (CESIEP), Santiago de Chile, Chile; MARIANO GONZALEZ-ROGLICH, Wildlife Conservation Society, Buenos Aires, Argentina; ESTEBAN G. JOBBÁGY, Grupo de Estudios Ambientales, IMASL-CONICET and Universidad Nacional de San Luis, San Luis, Argentina; South American Institute for Resilience and Sustainability Studies (SARAS), Maldonado, Uruguay; SARAH-LAN MATHEZ-STIEFEL, Centre for Development and Environment, University of Bern, Switzerland; Wyss Academy for Nature at the University of Bern, Switzerland; CARLOS RAMIREZ-REYES, Quantitative Ecology & Spatial Technologies Laboratory, Department of Wildlife, Fisheries and Aquaculture, Mississippi State University, United States; ANDREA PACHECO, German Centre for Integrative Biodiversity Research (iDiv) Halle-Jena-Leipzig, Germany; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Argentina; KENNETH R. YOUNG, Department of Geography and the Environment, University of Texas at Austin, United States; RICARDO GRAU, Instituto de Ecología Regional (IER), Universidad Nacional de Tucumán (UNT) Consejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Tucumán, Argentina. |
Título : |
Mapping and characterizing social-ecological land systems of South America. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Ecology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227 |
ISSN : |
1708-3087 |
DOI : |
10.5751/ES-13066-270227 |
Idioma : |
Inglés |
Notas : |
Article: Gold Open Access, Green Open Access. -- Erratum: On 6 June 2022 the abstract was edited. See online for more detail: https://ecologyandsociety.org/vol27/iss2/art27/#dataarchive_stmt --
LICENSE: Published under license by The Resilience Alliance. This article is under a Creative Commons Attribution 4.0 International License. You may share and adapt the work provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license. -- Article metrics: https://plu.mx/plum/a/?doi=10.5751/ES-13066-270227&theme=plum-bigben-theme |
Contenido : |
ABSTRACT.- Humans place strong pressure on land and have modified around 75% of Earth's terrestrial surface. In this context, ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Land system science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generated spatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraced a holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical, biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions (SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomic variable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essential for defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematic and operative characterization of South American social-ecological land systems. We propose its use can contribute as a reference framework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutions for sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewhere in the world. Copyright © 2022 by the author(s). MenosABSTRACT.- Humans place strong pressure on land and have modified around 75% of Earth's terrestrial surface. In this context, ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Land system science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generated spatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraced a holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical, biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions (SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomic variable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essential for defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematic and operative characterization of South American social-ecological land systems. We propose its use can contribute as a reference framework for a wide ran... Presentar Todo |
Palabras claves : |
Automatization; Hierarchical clustering; Multidisciplinary data; Participatory mapping; Social-ecological mapping. |
Asunto categoría : |
F01 Cultivo |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16772/1/ES-2021-13066.pdf
|
Marc : |
LEADER 03737naa a2200457 a 4500 001 1063581 005 2022-09-27 008 2022 bl uuuu u00u1 u #d 022 $a1708-3087 024 7 $a10.5751/ES-13066-270227$2DOI 100 1 $aZARBÁ, L. 245 $aMapping and characterizing social-ecological land systems of South America.$h[electronic resource] 260 $c2022 500 $aArticle: Gold Open Access, Green Open Access. -- Erratum: On 6 June 2022 the abstract was edited. See online for more detail: https://ecologyandsociety.org/vol27/iss2/art27/#dataarchive_stmt -- LICENSE: Published under license by The Resilience Alliance. This article is under a Creative Commons Attribution 4.0 International License. You may share and adapt the work provided the original author and source are credited, you indicate whether any changes were made, and you include a link to the license. -- Article metrics: https://plu.mx/plum/a/?doi=10.5751/ES-13066-270227&theme=plum-bigben-theme 520 $aABSTRACT.- Humans place strong pressure on land and have modified around 75% of Earth's terrestrial surface. In this context, ecoregions and biomes, merely defined on the basis of their biophysical features, are incomplete characterizations of the territory. Land system science requires classification schemes that incorporate both social and biophysical dimensions. In this study, we generated spatially explicit social-ecological land system (SELS) typologies for South America with a hybrid methodology that combined data-driven spatial analysis with a knowledge-based evaluation by an interdisciplinary group of regional specialists. Our approach embraced a holistic consideration of the social-ecological land systems, gathering a dataset of 26 variables spanning across 7 dimensions: physical, biological, land cover, economic, demographic, political, and cultural. We identified 13 SELS nested in 5 larger social-ecological regions (SER). Each SELS was discussed and described by specific groups of specialists. Although 4 environmental and 1 socioeconomic variable explained most of the distribution of the coarse SER classification, a diversity of 15 other variables were shown to be essential for defining several SELS, highlighting specific features that differentiate them. The SELS spatial classification presented is a systematic and operative characterization of South American social-ecological land systems. We propose its use can contribute as a reference framework for a wide range of applications such as analyzing observations within larger contexts, designing system-specific solutions for sustainable development, and structuring hypothesis testing and comparisons across space. Similar efforts could be done elsewhere in the world. Copyright © 2022 by the author(s). 653 $aAutomatization 653 $aHierarchical clustering 653 $aMultidisciplinary data 653 $aParticipatory mapping 653 $aSocial-ecological mapping 700 1 $aPIQUER-RODRÍGUEZ, M. 700 1 $aBOILLAT, S. 700 1 $aLEVERS, C. 700 1 $aGASPARRI, I. 700 1 $aAIDE, T. M. 700 1 $aÁLVAREZ-BERRÍOS, N. L. 700 1 $aANDERSON, L. O. 700 1 $aARAOZ, E. 700 1 $aARIMA, E. 700 1 $aBATISTELLA, M. 700 1 $aCALDERÓN-LOOR, M. 700 1 $aECHEVERRÍA, C. 700 1 $aGONZALEZ-ROGLICH, M. 700 1 $aJOBBÁGY, E. G. 700 1 $aMATHEZ-STIEFEL, S.-L. 700 1 $aRAMIREZ-REYES, C- 700 1 $aPACHECHO, A. 700 1 $aVALLEJOS, M. 700 1 $aYOUNG, K. R. 700 1 $aGRAU, R. 773 $tEcology and Society, 2022, Volume 27, Issue 2, Article number 27. OPEN ACCESS. doi: https://doi.org/10.5751/ES-13066-270227
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25. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | BLUMETTO, O.; CASTAGNA, A.; CARDOZO, G.; RUGGIA, A.; SCARLATO, S.; TISCORNIA, G.; GARCÍA, F.; AGUERRE, V. Desarrollando herramientas para evaluar el estado de los ecosistemas: El Índice de Integridad Ecosistémica (IIE). [Presentación oral y Resúmen] In: Libro de resúmenes de las TERCERAS JORNADAS INTERDISCIPLINARIAS EN BIODIVERSIDAD Y ECOLOGIA. "Desafíos socio-ambientales para el Uruguay del futuro" 28 de Noviembre a 2 de Diciembre 2016, Centro Universitario Regional del Este Rocha, Uruguay. p.104Tipo: Presentaciones Orales |
Biblioteca(s): INIA Las Brujas. |
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26. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | BLUMETTO, O.; CASTAGNA, A.; CARDOZO, G.; RUGGIA, A.; SCARLATO, S.; TISCORNIA, G.; GARCIA, F.; AGUERRE, V. Ecosystem Integrity Index: A New Tool for Ecosystem Services Evaluation in Livestock Production Systems. Ecological Goods & Services of Rangelands and Pasturelands. In: PROCEEDINGS OF THE INTERNATIONAL RANGELAND CONGRESS, 10th, "The Future Management of Grazing and Wild Lands in a High-Tech World". Saskatoon, SK, Canadá, July 16-22, 2016, p. 448-449.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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28. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | CALVO, M.C.; DELGADO, S.; DUARTE, F.; GARCIA, F.; SCATONI, I.; GONZÁLEZ, A. Fruit flies (Diptera: Tephritidae) and hosts association in different ecosystems in Uruguay. International Journal of Pest Management, 2022, vol. 68, issue 4: "Uruguayan Society of Phytopathology (SUFIT): Plant protection for a sustainable agriculture", p.369-380. doi: https://doi.org/10.1080/09670874.2022.2126023 Article history: Received 30 April 2022, Accepted 10 September 2022, Published online: 11 November 2022. Funding: The authors want to thank Emily Silva and Mity Schlesener from UFPel and Eugenia Lorenzo from the UDELAR for their support,...Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : Internacional - -- |
Biblioteca(s): INIA Las Brujas. |
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31. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | CIUFFO, C.; ARÉVALO, A.P.; GARCIA, F.; PERDOMO, T.; CRISPO, M.; GIANNITTI, F.; BUSCHIAZZO, A.; ZARANTONELLI, L. Estudio de la capacidad infectiva, colonización renal e inmunogenicidad de Leptospira interrogans serogrupo Pomona serovar Kennewicki en un modelo murino sub-letal y crónico. [abstract]. Sub-área 4: Patogenia, virulencia y resistencia. In: Anais III Consensos Latinoamericanos em Leptospirose Animal. Nov 30-Dic 02, 2021 (evento online).Tipo: Abstracts/Resúmenes |
Biblioteca(s): INIA Las Brujas. |
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32. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | CIUFFO, C.; ARÉVALO, A.P.; GARCIA, F.; PERDOMO, T.; CRISPO, M.; GIANNITTI, F.; BUSCHIAZZO, A.; ZARANTONELLI, L. Estudio y caracterización de una variante autóctona de Leptospira para su potencial uso como antígeno en vacunas de uso veterinario. In: Jornadas Uruguayas de Buiatría, 49., 2022. Paysandú, Uruguay: Centro Médico Veterinario de Paysandú; Filial de la Sociedad de Medicina Veterinaria del Uruguaya; Sociedad Uruguaya de Buiatría, 9 al 11 Junio 2022. p.192-194. p.192-194.Tipo: Trabajos en Congresos/Conferencias |
Biblioteca(s): INIA Las Brujas. |
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33. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | BARBAZÁN, M.; BAUTES, C.; BEUX, L.; BORDOLI, M.; CANO, J.D.; ERNST, O.; GARCIA-LAMOTHE, A.; GARCÍA, F.; QUINCKE, A. Fertilización potásica en cultivos de secano sin laboreo en Uruguay: rendimiento según análisis de suelos. [Fertilization with potassium in crops under no-tillage in Uruguay: yield response based on soil testing]. Agrociencia Uruguay, 2011, v.15, no.2, p.93-99Tipo: Artículos en Revistas Indexadas Nacionales | Circulación / Nivel : B - 5 |
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas. |
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34. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MOLINA, F.; TERRA, J.A.; OXLEY, A. M.; MARELLA, M.; CASTERÁ, F.; PLATERO, A.; GARCÍA, F.; ROVIRA, G.; ESCOSTEGUY, C. Indicadores tecnológicos-productivos zafra arrocera 2020-2021. In: Terra, J. A.; Martínez, S.; Saravia, H.; Mesones, B. (Eds.) Arroz 2021. Montevideo (UY): INIA, 2022. p. 1-5. (INIA Serie Técnica; 262)Tipo: Capítulo en Libro Técnico-Científico |
Biblioteca(s): INIA Treinta y Tres. |
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35. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | CAPRA, G.; ALBIN, A.; RUGGIA, A.; GARCIA, F.; AGUERRE, V.; VILARO, F.; GILSANZ, J.C.; ARBOLEYA, J.; RACHETTI, M. Tecnología para la producción familiar del departamento de Rocha: avances del acuerdo de trabajo INIA-CNFR Revista INIA, 2009, no. 18, p. 40-44Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA La Estanzuela; INIA Las Brujas; INIA Tacuarembó. |
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36. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | BLUMETTO, O.; CASTAGNA, A.; CARDOZO, G.; GARCIA, F.; TISCORNIA, G.; RUGGIA, A.; SCARLATO, S.; ALBICETTE, M.M.; AGUERRE, V.; ALBÍN, A. Ecosystem integrity index, an innovative environmental evaluation tool for agricultural production systems. Ecological indicators, 2019, v. 101, p. 725-733. Article history: Received 4 July 2018; Received in revised form 9 January 2019; Accepted 29 January 2019.Tipo: Artículos en Revistas Indexadas Internacionales | Circulación / Nivel : -- - -- |
Biblioteca(s): INIA Treinta y Tres. |
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38. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | MOLINA, F.; TERRA, J.A.; ROEL, A.; OXLEY, A.; MARELLA, M.; CASTERÁ, F.; PLATERO, A.; GARCÍA, F.; ROVIRA, G.; ESCOSTEGUI, C. Indicadores tecnológicos-productivos zafra arrocera 2020-2021. [Informe de zafra]. Treinta y Tres, (Uruguay): INIA, 2021, 18 p.Biblioteca(s): INIA Treinta y Tres. |
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39. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | AGUERRE, V.; ALBICETTE, M.M.; RUGGIA, A.; SCARLATO, S.; BLUMETTO, O.; BORTAGARAY, I.; CARDOZO, G.; CASTAGNA, A.; CLARA, P.; GARCIA, F.; GILSANZ, J.C.; LEONI, C.; QUINTANS, G.; SCARLATO, M.; SILVERA, M.; TISCORNIA, G.; VILARO, F.; ALBIN, A. El desafío para la ganadería familiar: ¿cómo aumentar producción e ingresos conservando el medio ambiente?. Revista INIA Uruguay, 2014, No.39, p.75-78. (Revista INIA; 39)Tipo: Artículos en Revistas Agropecuarias |
Biblioteca(s): INIA Las Brujas; INIA Tacuarembó; INIA Treinta y Tres. |
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40. | ![Imagen marcada / sin marcar](/consulta/web/img/desmarcado.png) | AGUERRE, V.; ALBICETTE, M.M.; BORTAGARAY, I.; BLUMETTO, O.; CARDOZO, G.; CASTAGNA, A.; CLARA, P.; GARCIA, F.; GILSANZ, J.C.; LEONI, C.; QUINTANS, G.; RUGGIA, A.; SCARLATO, M.; SCARLATO, S.; TISCORNIA, G.; VILARO, F.; DOGLIOTTI, S.; ALBIN, A. Co-innovando para el desarrollo sostenible de sistemas de producción familiar de Rocha-Uruguay: avances sobre la dimensión social del cambio y la comprensión del tipo de procesos de aprendizaje. [Poster] In: CONGRESO DE CIENCIAS SOCIALES Y AGRARIAS, 2. "Enfoques y alternativas para el desarrollo rural", Salto (UY): Fac.Agronomía, Regional Norte (UdelaR), 6-8 Agosto 2014. [Poster] 1 p.Biblioteca(s): INIA Las Brujas. |
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