|
|
| Acceso al texto completo restringido a Biblioteca INIA La Estanzuela. Por información adicional contacte bib_le@inia.org.uy. |
Registro completo
|
Biblioteca (s) : |
INIA La Estanzuela. |
Fecha : |
25/09/2020 |
Actualizado : |
16/11/2020 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Autor : |
PACHECO-ROMERO, M.; ALCARAZ-SEGURA, D.; VALLEJOS, M.; CABELLO, J. |
Afiliación : |
MANUEL PACHECO-ROMERO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain./ Department of Biology and Geology, University of Almería, Almería, Spain.; DOMINGO ALCARAZ-SEGURA, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain./Department of Botany, University of Granada, Granada, Spain.; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay./Departamento de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires, Argentina.; JAVIER CABELLO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain/Department of Biology and Geology, University of Almería, Almería, Spain. |
Título : |
An expert-based reference list of variables for characterizing and monitoring social-ecological systems. |
Fecha de publicación : |
2020 |
Fuente / Imprenta : |
Ecology and Society, 2020, Volume 25, Issue 3, Article number 1, Page 1. Doi: https://doi.org/10.5751/ES-11676-25030 |
DOI : |
10.5751/ES-11676-250301 |
Idioma : |
Inglés |
Contenido : |
ABSTRACT. The social-ecological system (SES) approach is fundamental for addressing global change challenges and to developing sustainability science. Over the last two decades, much progress has been made in translating this approach from theory to practice, although the knowledge generated is still sparse and difficult to compare. To better understand how SESs function across time, space, and scales, coordinated, long-term SES research and monitoring strategies under a common analytical framework are needed. For this purpose, the collection of standard datasets is a cornerstone, but we are still far from identifying and agreeing on the common core set of variables that should be used. In this study, based on literature reviews, expert workshops, and researcher perceptions collected through online surveys, we developed a reference list of 60 variables for the characterization and monitoring of SESs. The variables were embedded in a conceptual framework structured in 13 dimensions that were distributed throughout the three main components of the SES: the social system, the ecological system, and the interactions between them. In addition, the variables were prioritized according to relevance and consensus criteria identified in the survey responses. Variable relevance was positively correlated with consensus across respondents. This study brings new perspectives to address existing barriers in operationalizing lists of variables in the study of SESs, such as the applicability for place-based research, the capacity to deal with SES complexity, and the feasibility for
long-term monitoring of social-ecological dynamics. This study may constitute a preliminary step to identifying essential variables for SESs. It will contribute toward promoting the systematic collection of data around most meaningful aspects of the SESs and to enhancing comparability across place-based research and long-term monitoring of complex SESs, and therefore, the production of generalizable knowledge. MenosABSTRACT. The social-ecological system (SES) approach is fundamental for addressing global change challenges and to developing sustainability science. Over the last two decades, much progress has been made in translating this approach from theory to practice, although the knowledge generated is still sparse and difficult to compare. To better understand how SESs function across time, space, and scales, coordinated, long-term SES research and monitoring strategies under a common analytical framework are needed. For this purpose, the collection of standard datasets is a cornerstone, but we are still far from identifying and agreeing on the common core set of variables that should be used. In this study, based on literature reviews, expert workshops, and researcher perceptions collected through online surveys, we developed a reference list of 60 variables for the characterization and monitoring of SESs. The variables were embedded in a conceptual framework structured in 13 dimensions that were distributed throughout the three main components of the SES: the social system, the ecological system, and the interactions between them. In addition, the variables were prioritized according to relevance and consensus criteria identified in the survey responses. Variable relevance was positively correlated with consensus across respondents. This study brings new perspectives to address existing barriers in operationalizing lists of variables in the study of SESs, such as the applicabilit... Presentar Todo |
Palabras claves : |
COUPLED HUMAN AND NATURAL SYSTEMS; ESSENTIAL SOCIAL-ECOLOGICAL VARIABLES; ESSENTIAL VARIABLES; LONG-TERM SOCIAL-ECOLOGICAL RESEARCH; LTSER; PLACE-BASED SOCIAL-ECOLOGICAL RESEARCH; SISTEMAS HUMANOS ACOPLADOS; SISTEMAS SOCIO-ECOLOGICOS; SOCIAL-ECOLOGICAL DIMENSIONS; SOCIAL-ECOLOGICAL INTERACTIONS; SOCIAL-ECOLOGICAL MONITORING; SOCIAL-ECOLOGICAL SYSTEM FRAMEWORK; SOCIAL-ECOLOGICAL SYSTEM FUNCTIONING. |
Asunto categoría : |
-- |
Marc : |
LEADER 03212naa a2200325 a 4500 001 1061346 005 2020-11-16 008 2020 bl uuuu u00u1 u #d 024 7 $a10.5751/ES-11676-250301$2DOI 100 1 $aPACHECO-ROMERO, M. 245 $aAn expert-based reference list of variables for characterizing and monitoring social-ecological systems.$h[electronic resource] 260 $c2020 520 $aABSTRACT. The social-ecological system (SES) approach is fundamental for addressing global change challenges and to developing sustainability science. Over the last two decades, much progress has been made in translating this approach from theory to practice, although the knowledge generated is still sparse and difficult to compare. To better understand how SESs function across time, space, and scales, coordinated, long-term SES research and monitoring strategies under a common analytical framework are needed. For this purpose, the collection of standard datasets is a cornerstone, but we are still far from identifying and agreeing on the common core set of variables that should be used. In this study, based on literature reviews, expert workshops, and researcher perceptions collected through online surveys, we developed a reference list of 60 variables for the characterization and monitoring of SESs. The variables were embedded in a conceptual framework structured in 13 dimensions that were distributed throughout the three main components of the SES: the social system, the ecological system, and the interactions between them. In addition, the variables were prioritized according to relevance and consensus criteria identified in the survey responses. Variable relevance was positively correlated with consensus across respondents. This study brings new perspectives to address existing barriers in operationalizing lists of variables in the study of SESs, such as the applicability for place-based research, the capacity to deal with SES complexity, and the feasibility for long-term monitoring of social-ecological dynamics. This study may constitute a preliminary step to identifying essential variables for SESs. It will contribute toward promoting the systematic collection of data around most meaningful aspects of the SESs and to enhancing comparability across place-based research and long-term monitoring of complex SESs, and therefore, the production of generalizable knowledge. 653 $aCOUPLED HUMAN AND NATURAL SYSTEMS 653 $aESSENTIAL SOCIAL-ECOLOGICAL VARIABLES 653 $aESSENTIAL VARIABLES 653 $aLONG-TERM SOCIAL-ECOLOGICAL RESEARCH 653 $aLTSER 653 $aPLACE-BASED SOCIAL-ECOLOGICAL RESEARCH 653 $aSISTEMAS HUMANOS ACOPLADOS 653 $aSISTEMAS SOCIO-ECOLOGICOS 653 $aSOCIAL-ECOLOGICAL DIMENSIONS 653 $aSOCIAL-ECOLOGICAL INTERACTIONS 653 $aSOCIAL-ECOLOGICAL MONITORING 653 $aSOCIAL-ECOLOGICAL SYSTEM FRAMEWORK 653 $aSOCIAL-ECOLOGICAL SYSTEM FUNCTIONING 700 1 $aALCARAZ-SEGURA, D. 700 1 $aVALLEJOS, M. 700 1 $aCABELLO, J. 773 $tEcology and Society, 2020, Volume 25, Issue 3, Article number 1, Page 1. Doi: https://doi.org/10.5751/ES-11676-25030
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA La Estanzuela (LE) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
|
Registro completo
|
Biblioteca (s) : |
INIA Las Brujas. |
Fecha actual : |
22/09/2022 |
Actualizado : |
22/09/2022 |
Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
Circulación / Nivel : |
Internacional - -- |
Autor : |
UMPIÉRREZ , A.; ERNST, E.; CARDOZO, A.; TORRES, A.; FERNÁNDEZ, M.; FRAGA, M.; VIGNOLI, R.; BADO, I.; VIDAL, R.; ZUNINO, P. |
Afiliación : |
ANA UMPIÉRREZ, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay; DÉBORAH ERNST, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; ANDREA CARDOZO, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; ALEXIA TORRES, Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile.; MAGALÍ FERNÁNDEZ, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay.; MARTIN FRAGA COTELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; RAFAEL VIGNOLI, Departamento de Bacteriología y Virología, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.; INÉS BADO, Departamento de Bacteriología y Virología, Instituto de Higiene, Facultad de Medicina, Universidad de la República, Montevideo, Uruguay.; ROBERTO VIDAL, Programa de Microbiología y Micología, Instituto de Ciencias Biomédicas, Facultad de Medicina, Universidad de Chile, Santiago, Chile; Instituto Milenio de Inmunología e Inmunoterapia, Facultad de Medicina, Universidad de Chile, Santiago, Chile.; PABLO ZUNINO, Departamento de Microbiología, Instituto de Investigaciones Biológicas Clemente Estable, Montevideo, Uruguay. |
Título : |
Non-O157 Shiga toxin-producing Escherichia coli with potential harmful profiles to humans are isolated from the faeces of calves in Uruguay. |
Fecha de publicación : |
2022 |
Fuente / Imprenta : |
Austral Journal of Veterinary Sciences, 2022, Vol. 54 Issue 2, p.45-53. doi: https://doi.org/10.4067/S0719-81322022000200045 |
Descripción física : |
SSN 0719-8132 (version on-line)
ISSN 0719-8000 (version print) |
ISSN : |
0719-8132 (print); e-ISSN 0719-8000 (electronic) |
DOI : |
10.4067/S0719-81322022000200045 |
Idioma : |
Inglés |
Notas : |
Article history: Received 12 October 2021; Accepted 30 December 2021; Published 09 May 2022.
Corresponding author: Ana Umpiérrez; Avenida Italia 3318, CP 11600, Montevideo, Uruguay; aumpierrez@iibce.edu.uy |
Contenido : |
ABSTRACT.- Shiga toxin-producing Escherichia coli (STEC) infections are responsible for acute illnesses and deaths in humans. Cattle and humans are exposed to STEC through faeces and contaminated food and water. The big six and O157 STEC serogroups are important food and water-borne human pathogens. Additionally, Stx1a, Stx2a and Stx2c subtypes are highly associated with the haemolytic uremic syndrome. This study aimed to determine Shiga toxin-subtypes, the presence of antigen 43 families, the genotypic and phenotypic antimicrobial susceptibility profiles, O-serogrouping, phylotypes and phylogenetic relatedness of STEC of calf origin. Sixteen STEC isolates from calf origin were analysed. PCR was performed to determine Stx subtypes, serogroups, the presence of ag43 I and IIand phylotypes. The antimicrobial profile was evaluated and the presence of PMQR and fosfomycin genes was determined by PCR. The clonal relatedness of STEC was studied by PFGE. The genotypes stx1a+c,stx1a+, stx1a+/stx2e+, stx1a+c/stx2e and stx2awere detected. Ag43 II was the most prevalent among subfamilies. STEC isolates were serotyped as O103 (n=5) and O111 (n=6). Fifty per cent of the isolates were classified as B1 phylogroup, 4/16 as E, 1/16 as C, and 1/16 as F. Non-O157 STEC isolates showed a high level of diversity, independent of the geographical and farm-origin. Isolates were resistant to ampicillin, ciprofloxacin, gentamicin, and fosfomycin-trometamol. The gene fosA7 was detected in 1 isolate. The virulence profiles, including Shiga toxin-subtypes and serogroups, denote the potential harm of non-O157 STEC isolates to humans. We also confirmed that circulating non-O157 STEC from cattle present genetic heterogeneity and are susceptible to antibiotics. MenosABSTRACT.- Shiga toxin-producing Escherichia coli (STEC) infections are responsible for acute illnesses and deaths in humans. Cattle and humans are exposed to STEC through faeces and contaminated food and water. The big six and O157 STEC serogroups are important food and water-borne human pathogens. Additionally, Stx1a, Stx2a and Stx2c subtypes are highly associated with the haemolytic uremic syndrome. This study aimed to determine Shiga toxin-subtypes, the presence of antigen 43 families, the genotypic and phenotypic antimicrobial susceptibility profiles, O-serogrouping, phylotypes and phylogenetic relatedness of STEC of calf origin. Sixteen STEC isolates from calf origin were analysed. PCR was performed to determine Stx subtypes, serogroups, the presence of ag43 I and IIand phylotypes. The antimicrobial profile was evaluated and the presence of PMQR and fosfomycin genes was determined by PCR. The clonal relatedness of STEC was studied by PFGE. The genotypes stx1a+c,stx1a+, stx1a+/stx2e+, stx1a+c/stx2e and stx2awere detected. Ag43 II was the most prevalent among subfamilies. STEC isolates were serotyped as O103 (n=5) and O111 (n=6). Fifty per cent of the isolates were classified as B1 phylogroup, 4/16 as E, 1/16 as C, and 1/16 as F. Non-O157 STEC isolates showed a high level of diversity, independent of the geographical and farm-origin. Isolates were resistant to ampicillin, ciprofloxacin, gentamicin, and fosfomycin-trometamol. The gene fosA7 was detected in 1 isolate. The ... Presentar Todo |
Palabras claves : |
Antimicrobial resistance; Non-O157 STEC; PLATAFORMA EN SALUD ANIMAL; Shiga toxin subtypes. |
Asunto categoría : |
L01 Ganadería |
URL : |
http://www.ainfo.inia.uy/digital/bitstream/item/16768/1/10.4067-s0719-81322022000200045.pdf
|
Marc : |
LEADER 03084naa a2200325 a 4500 001 1063578 005 2022-09-22 008 2022 bl uuuu u00u1 u #d 022 $a0719-8132 (print); e-ISSN 0719-8000 (electronic) 024 7 $a10.4067/S0719-81322022000200045$2DOI 100 1 $aUMPIÉRREZ , A. 245 $aNon-O157 Shiga toxin-producing Escherichia coli with potential harmful profiles to humans are isolated from the faeces of calves in Uruguay.$h[electronic resource] 260 $c2022 300 $cSSN 0719-8132 (version on-line) ISSN 0719-8000 (version print) 500 $aArticle history: Received 12 October 2021; Accepted 30 December 2021; Published 09 May 2022. Corresponding author: Ana Umpiérrez; Avenida Italia 3318, CP 11600, Montevideo, Uruguay; aumpierrez@iibce.edu.uy 520 $aABSTRACT.- Shiga toxin-producing Escherichia coli (STEC) infections are responsible for acute illnesses and deaths in humans. Cattle and humans are exposed to STEC through faeces and contaminated food and water. The big six and O157 STEC serogroups are important food and water-borne human pathogens. Additionally, Stx1a, Stx2a and Stx2c subtypes are highly associated with the haemolytic uremic syndrome. This study aimed to determine Shiga toxin-subtypes, the presence of antigen 43 families, the genotypic and phenotypic antimicrobial susceptibility profiles, O-serogrouping, phylotypes and phylogenetic relatedness of STEC of calf origin. Sixteen STEC isolates from calf origin were analysed. PCR was performed to determine Stx subtypes, serogroups, the presence of ag43 I and IIand phylotypes. The antimicrobial profile was evaluated and the presence of PMQR and fosfomycin genes was determined by PCR. The clonal relatedness of STEC was studied by PFGE. The genotypes stx1a+c,stx1a+, stx1a+/stx2e+, stx1a+c/stx2e and stx2awere detected. Ag43 II was the most prevalent among subfamilies. STEC isolates were serotyped as O103 (n=5) and O111 (n=6). Fifty per cent of the isolates were classified as B1 phylogroup, 4/16 as E, 1/16 as C, and 1/16 as F. Non-O157 STEC isolates showed a high level of diversity, independent of the geographical and farm-origin. Isolates were resistant to ampicillin, ciprofloxacin, gentamicin, and fosfomycin-trometamol. The gene fosA7 was detected in 1 isolate. The virulence profiles, including Shiga toxin-subtypes and serogroups, denote the potential harm of non-O157 STEC isolates to humans. We also confirmed that circulating non-O157 STEC from cattle present genetic heterogeneity and are susceptible to antibiotics. 653 $aAntimicrobial resistance 653 $aNon-O157 STEC 653 $aPLATAFORMA EN SALUD ANIMAL 653 $aShiga toxin subtypes 700 1 $aERNST, E. 700 1 $aCARDOZO, A. 700 1 $aTORRES, A. 700 1 $aFERNÁNDEZ, M. 700 1 $aFRAGA, M. 700 1 $aVIGNOLI, R. 700 1 $aBADO, I. 700 1 $aVIDAL, R. 700 1 $aZUNINO, P. 773 $tAustral Journal of Veterinary Sciences, 2022, Vol. 54 Issue 2, p.45-53. doi: https://doi.org/10.4067/S0719-81322022000200045
Descargar
Esconder MarcPresentar Marc Completo |
Registro original : |
INIA Las Brujas (LB) |
|
Biblioteca
|
Identificación
|
Origen
|
Tipo / Formato
|
Clasificación
|
Cutter
|
Registro
|
Volumen
|
Estado
|
Volver
|
Expresión de búsqueda válido. Check! |
|
|