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| 1. |  | SIMEONE, M.; GÓMEZ, C.; BERTALMIO, A.; RUIZ, E.; HAUTEVILLE, C.; GODOY, L.; TITO, B.; GARCÍA, M.L. Detection of citrus psorosis virus by RT‐qPCR validated by diagnostic parameters. Plant Pathology, May 2021, Volume 70, Issue 4, Pages 980-986. Doi: https://doi.org/10.1111/ppa.13341 Article history: Received, 8 September 2020; Accepted, 28 December 2020, First published, 18 January 2021.
This work was supported by Agencia Nacional de Promoción Científica y Tecnológica (ANPCYT) PICT 2014‐1007 and PICT Start UP...| 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 : |
20/08/2019 |
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Actualizado : |
04/05/2020 |
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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 : |
ALTESOR, A.; GALLEGO, F.; FERRÓN, M; PEZZANI, F.; LÓPEZ-MÁRSICO, L.; LEZAMA,F.; BAEZA, S.; PEREIRA, M.; COSTA, B.; PARUELO, J. |
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Afiliación : |
ALICE ALTESOR, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; FEDERICO GALLEGO, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; MANUEL FERRÓN, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; FABIANA PEZZANI, Ecología, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; LUIS LÓPEZ-MÁRSICO, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; FELIPE LEZAMA, Ecología, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; SANTIAGO BAEZA, Ecología, Departamento de Sistemas Ambientales, Facultad de Agronomía, Universidad de la República, Montevideo, Uruguay.; MARCELO PEREIRA, Instituto Plan Agropecuario, Montevideo, Uruguay.; BEATRIZ COSTA, Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Universidad de la República, Montevideo, Uruguay.; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Grupo de Ecología de Pastizales, Instituto de Ecología y Ciencias Ambientales, Facultad de Ciencias, Montevideo, Uruguay.Facultad de Agronomía and IFEVA,UBA, CONICET, Argentina. |
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Título : |
An inductive approach to build State-and-Transition Models for Uruguayan grasslands. |
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Fecha de publicación : |
2019 |
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Fuente / Imprenta : |
Rangeland Ecology and Management, November 2019, Volume 72, Issue 6, Pages 1005-1016. Doi: https://doi.org/10.1016/j.rama.2019.06.004 |
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DOI : |
10.1016/j.rama.2019.06.004 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 19 October 2018// Revised 7 June 2019// Accepted 24 June 2019// Available online 8 August 2019.-Correspondence: E-mail address: aaltesor@fcien.edu.uy (A. Altesor).This work was supported by Instituto Nacional de Investigación Agropecuaria (Fondo de Promoción de Tecnología Agropecuaria FPTA 305). This work was carried out with the aid of a grant from the Inter-American Institute for Global Change Research CRN3095 (Bridging Ecosystem Services and Territorial Planning: a southern South American initiative), which is supported by the US National Science Foundation (GEO 1128040). The Comisión Sectorial de Investigación Científica of the Universidad de la República supported this work. |
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Contenido : |
Abstract:
We report State-and-Transition Models for Uruguayan grasslands built upon a methodological approach that objectively defined states/phases associated, a priori, to rangeland management. Such approach was based on randomly sampled areas corresponding to mapped grassland communities. Each sampled area matched a MODIS pixel. Vegetation structural indicators were recorded in every pixel. After a multivariate analysis, field observations were grouped according to similarities in terms of structure, and different "states" and "phases" were identified. Ecosystem functioning and the supply of regulating ecosystem services were estimated for each grassland state/phase using the normalized difference vegetation index (NDVI) derived from MODIS sensor. Finally, workshops were held in order to detect local stakeholders? perceptions, and to discuss the management practices to promote the desired transitions among phases. Results were presented for two vegetation units of the Basaltic ?Cuesta? region. The ?inductive approach? applied not only led to the description of ?states?, but also to the identification of more subtle changes in vegetation ("phases"). Our approach minimized biases due to personal experience as well as differences derived from using different observation protocols. The two vegetation units presented an internal heterogeneity associated to changes in basal stratum height, total cover, stratification, frequency of decreasing species due to grazing, and proportion of plant functional types. The ecosystem functioning descriptors of each phase responded to extreme climatic events differently. Based on stakeholder?s opinions and experiences, stocking rate, sheep/cattle ratio, and grazing method were the main management practices promoting the transition among phases. MenosAbstract:
We report State-and-Transition Models for Uruguayan grasslands built upon a methodological approach that objectively defined states/phases associated, a priori, to rangeland management. Such approach was based on randomly sampled areas corresponding to mapped grassland communities. Each sampled area matched a MODIS pixel. Vegetation structural indicators were recorded in every pixel. After a multivariate analysis, field observations were grouped according to similarities in terms of structure, and different "states" and "phases" were identified. Ecosystem functioning and the supply of regulating ecosystem services were estimated for each grassland state/phase using the normalized difference vegetation index (NDVI) derived from MODIS sensor. Finally, workshops were held in order to detect local stakeholders? perceptions, and to discuss the management practices to promote the desired transitions among phases. Results were presented for two vegetation units of the Basaltic ?Cuesta? region. The ?inductive approach? applied not only led to the description of ?states?, but also to the identification of more subtle changes in vegetation ("phases"). Our approach minimized biases due to personal experience as well as differences derived from using different observation protocols. The two vegetation units presented an internal heterogeneity associated to changes in basal stratum height, total cover, stratification, frequency of decreasing species due to grazing, and proporti... Presentar Todo |
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Palabras claves : |
ECOSYSTEM SERVICES SUPPLY INDEX (ESSI); INDUCTIVE APPROACH; NORMALIZED VEGETATION INDEX (NDVI); PLANT LIFE FORMS; STAKEHOLDERS. |
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Thesagro : |
PASTURAS; URUGUAY. |
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Asunto categoría : |
-- |
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Marc : |
LEADER 03560naa a2200337 a 4500
001 1060038
005 2020-05-04
008 2019 bl uuuu u00u1 u #d
024 7 $a10.1016/j.rama.2019.06.004$2DOI
100 1 $aALTESOR, A.
245 $aAn inductive approach to build State-and-Transition Models for Uruguayan grasslands.$h[electronic resource]
260 $c2019
500 $aArticle history: Received 19 October 2018// Revised 7 June 2019// Accepted 24 June 2019// Available online 8 August 2019.-Correspondence: E-mail address: aaltesor@fcien.edu.uy (A. Altesor).This work was supported by Instituto Nacional de Investigación Agropecuaria (Fondo de Promoción de Tecnología Agropecuaria FPTA 305). This work was carried out with the aid of a grant from the Inter-American Institute for Global Change Research CRN3095 (Bridging Ecosystem Services and Territorial Planning: a southern South American initiative), which is supported by the US National Science Foundation (GEO 1128040). The Comisión Sectorial de Investigación Científica of the Universidad de la República supported this work.
520 $aAbstract: We report State-and-Transition Models for Uruguayan grasslands built upon a methodological approach that objectively defined states/phases associated, a priori, to rangeland management. Such approach was based on randomly sampled areas corresponding to mapped grassland communities. Each sampled area matched a MODIS pixel. Vegetation structural indicators were recorded in every pixel. After a multivariate analysis, field observations were grouped according to similarities in terms of structure, and different "states" and "phases" were identified. Ecosystem functioning and the supply of regulating ecosystem services were estimated for each grassland state/phase using the normalized difference vegetation index (NDVI) derived from MODIS sensor. Finally, workshops were held in order to detect local stakeholders? perceptions, and to discuss the management practices to promote the desired transitions among phases. Results were presented for two vegetation units of the Basaltic ?Cuesta? region. The ?inductive approach? applied not only led to the description of ?states?, but also to the identification of more subtle changes in vegetation ("phases"). Our approach minimized biases due to personal experience as well as differences derived from using different observation protocols. The two vegetation units presented an internal heterogeneity associated to changes in basal stratum height, total cover, stratification, frequency of decreasing species due to grazing, and proportion of plant functional types. The ecosystem functioning descriptors of each phase responded to extreme climatic events differently. Based on stakeholder?s opinions and experiences, stocking rate, sheep/cattle ratio, and grazing method were the main management practices promoting the transition among phases.
650 $aPASTURAS
650 $aURUGUAY
653 $aECOSYSTEM SERVICES SUPPLY INDEX (ESSI)
653 $aINDUCTIVE APPROACH
653 $aNORMALIZED VEGETATION INDEX (NDVI)
653 $aPLANT LIFE FORMS
653 $aSTAKEHOLDERS
700 1 $aGALLEGO, F.
700 1 $aFERRÓN, M
700 1 $aPEZZANI, F.
700 1 $aLÓPEZ-MÁRSICO, L.
700 1 $aLEZAMA,F.
700 1 $aBAEZA, S.
700 1 $aPEREIRA, M.
700 1 $aCOSTA, B.
700 1 $aPARUELO, J.
773 $tRangeland Ecology and Management, November 2019, Volume 72, Issue 6, Pages 1005-1016. Doi: https://doi.org/10.1016/j.rama.2019.06.004
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