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Registro completo
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Biblioteca (s) : |
INIA Las Brujas. |
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Fecha : |
17/05/2022 |
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Actualizado : |
17/05/2022 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Autor : |
PACHECO-ROMERO, M.; VALLEJOS, M.; PARUELO, J.; ALCARAZ-SEGURA, D.; TORRES-GARCÍA, M. T.; SALINAS-BONILLO, M. J.; CABELLO, JAVIER |
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Afiliación : |
MANUEL PACHECO-ROMERO, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Univ. of Almería, Spain; Dept. of Biology and Geology, Univ. of Almería, Spain; Faculty of Sustainability, Leuphana, Univ. Lüneburg, Germany.; MARÍA VALLEJOS, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Cátedra de Métodos Cuantitativos y Sistemas de Información, Facultad de Agronomía, Universidad de Buenos Aires, Buenos Aires, Argentina; JOSÉ PARUELO, INIA (Instituto Nacional de Investigación Agropecuaria), Uruguay; Cátedra Métodos Cuantitativos y Sistemas de Información, Fac. Agronomía, Univ. de Buenos Aires, Bs.As., Argentina; Fac. de Ciencias, IECA, Universidad de la República, Mdeo, Uruguay.; DOMINGO ALCARAZ-SEGURA, Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), Univ. of Almería, Spain;Dept. of Botany, Univ. of Granada, Spain; Iecolab, Interuniversity Institute for Earth System Research (IISTA), Univ. of Granada, Spain; M. TRINIDAD TORRES-GARCÍA, 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; MARÍA J. SALINAS-BONILLO, 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; 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. |
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Título : |
A data-driven methodological routine to identify key indicators for social-ecological system archetype mapping. |
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Fecha de publicación : |
2022 |
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Fuente / Imprenta : |
Environmental Research Letters, 2022, Volume 17, Issue 4, Article number 045019. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/ac5ded |
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ISSN : |
1748-9318 |
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DOI : |
10.1088/1748-9326/ac5ded |
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Idioma : |
Inglés |
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Notas : |
Article history: Received 2 July 2021; Revised 28 January 2022; Accepted for publication 15 March 2022; Published 30 March 2022.
License: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must
maintain attribution to the author(s) and the title of the work, journal citation and DOI. -- Article: Gold Open Access, Green Open Access.
Corresponding author: Pacheco-Romero, M.; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain; email:manuel.pacheco@ual.es --
Funding text - We thank R Romero-Calcerrada and J M Requena-Mullor for helpful discussions, and three anonymous reviewers for their constructive suggestions to improve this paper. We also thank the Spanish Ministry of Economy and Business (Project CGL2014-61610-EXP) for the financial support, as well as the Spanish Ministry of Education for the FPU Predoctoral Fellowship of MPR (FPU14/06782) and MTTG (16/02214). MPR gratefully acknowledges funding from Universidad de Almería for a research stay at the Laboratory of Regional Analysis and Remote Sensing (LART) of University of Buenos Aires to develop this study. This research was done within the LTSER Platforms of the Arid Iberian South East—Spain (LTER_EU_ES_027) and Sierra Nevada/Granada (ES- SNE)—Spain (LTER_EU_ES_010), and contributes to the Global Land Programme. |
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Contenido : |
ABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock production, net primary productivity, population density); relevance conditioned by the context or the scale (16.3%, e.g. land protection, educational level); lack of agreement (20.4%, e.g. economic level, land tenure); need of further assessments due to the lack of expert or empirical knowledge (30.6%). Overall, our data-driven approach can contribute to more objective selection of relevant indicators for SES mapping, which may help to produce comparable and generalizable empirical knowledge on key variables for characterizing SESs, as well as to derive more representative descriptions and causal factor configurations in SES archetype analysis.
© 2022 The Author(s). Published by IOP Publishing Ltd. MenosABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock prod... Presentar Todo |
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Palabras claves : |
Coupled human and natural systems; Essential social-ecological system variables; Human-environment interactions; LONG-TERM SOCIAL-ECOLOGICAL RESEARCH; LTSER; Random forest; SOCIAL-ECOLOGICAL SYSTEM FRAMEWORK. |
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Asunto categoría : |
A50 Investigación agraria |
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URL : |
https://iopscience.iop.org/article/10.1088/1748-9326/ac5ded/pdf
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Marc : |
LEADER 04770naa a2200313 a 4500
001 1063148
005 2022-05-17
008 2022 bl uuuu u00u1 u #d
022 $a1748-9318
024 7 $a10.1088/1748-9326/ac5ded$2DOI
100 1 $aPACHECO-ROMERO, M.
245 $aA data-driven methodological routine to identify key indicators for social-ecological system archetype mapping.$h[electronic resource]
260 $c2022
500 $aArticle history: Received 2 July 2021; Revised 28 January 2022; Accepted for publication 15 March 2022; Published 30 March 2022. License: Original content from this work may be used under the terms of the Creative Commons Attribution 4.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. -- Article: Gold Open Access, Green Open Access. Corresponding author: Pacheco-Romero, M.; Andalusian Center for the Assessment and Monitoring of Global Change (CAESCG), University of Almería, Almería, Spain; email:manuel.pacheco@ual.es -- Funding text - We thank R Romero-Calcerrada and J M Requena-Mullor for helpful discussions, and three anonymous reviewers for their constructive suggestions to improve this paper. We also thank the Spanish Ministry of Economy and Business (Project CGL2014-61610-EXP) for the financial support, as well as the Spanish Ministry of Education for the FPU Predoctoral Fellowship of MPR (FPU14/06782) and MTTG (16/02214). MPR gratefully acknowledges funding from Universidad de Almería for a research stay at the Laboratory of Regional Analysis and Remote Sensing (LART) of University of Buenos Aires to develop this study. This research was done within the LTSER Platforms of the Arid Iberian South East—Spain (LTER_EU_ES_027) and Sierra Nevada/Granada (ES- SNE)—Spain (LTER_EU_ES_010), and contributes to the Global Land Programme.
520 $aABSTRACT.- The spatial mapping of social-ecological system (SES) archetypes constitutes a fundamental tool to operationalize the SES concept in empirical research. Approaches to detect, map, and characterize SES archetypes have evolved over the last decade towards more integrative and comparable perspectives guided by SES conceptual frameworks and reference lists of variables. However, hardly any studies have investigated how to empirically identify the most relevant set of indicators to map the diversity of SESs. In this study, we propose a data-driven methodological routine based on multivariate statistical analysis to identify the most relevant indicators for mapping and characterizing SES archetypes in a particular region. Taking Andalusia (Spain) as a case study, we applied this methodological routine to 86 indicators representing multiple variables and dimensions of the SES. Additionally, we assessed how the empirical relevance of these indicators contributes to previous expert and empirical knowledge on key variables for characterizing SESs. We identified 29 key indicators that allowed us to map 15 SES archetypes encompassing natural, mosaic, agricultural, and urban systems, which uncovered contrasting land sharing and land sparing patterns throughout the territory. We found synergies but also disagreements between empirical and expert knowledge on the relevance of variables: agreement on their widespread relevance (32.7% of the variables, e.g. crop and livestock production, net primary productivity, population density); relevance conditioned by the context or the scale (16.3%, e.g. land protection, educational level); lack of agreement (20.4%, e.g. economic level, land tenure); need of further assessments due to the lack of expert or empirical knowledge (30.6%). Overall, our data-driven approach can contribute to more objective selection of relevant indicators for SES mapping, which may help to produce comparable and generalizable empirical knowledge on key variables for characterizing SESs, as well as to derive more representative descriptions and causal factor configurations in SES archetype analysis. © 2022 The Author(s). Published by IOP Publishing Ltd.
653 $aCoupled human and natural systems
653 $aEssential social-ecological system variables
653 $aHuman-environment interactions
653 $aLONG-TERM SOCIAL-ECOLOGICAL RESEARCH
653 $aLTSER
653 $aRandom forest
653 $aSOCIAL-ECOLOGICAL SYSTEM FRAMEWORK
700 1 $aVALLEJOS, M.
700 1 $aPARUELO, J.
700 1 $aALCARAZ-SEGURA, D.
700 1 $aTORRES-GARCÍA, M. T.
700 1 $aSALINAS-BONILLO, M. J.
700 1 $aCABELLO, JAVIER
773 $tEnvironmental Research Letters, 2022, Volume 17, Issue 4, Article number 045019. OPEN ACCESS. doi: https://doi.org/10.1088/1748-9326/ac5ded
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Registro original : |
INIA Las Brujas (LB) |
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 | Acceso al texto completo restringido a Biblioteca INIA Treinta y Tres. Por información adicional contacte bibliott@inia.org.uy. |
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Registro completo
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Biblioteca (s) : |
INIA Treinta y Tres. |
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Fecha actual : |
09/09/2014 |
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Actualizado : |
11/10/2019 |
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Tipo de producción científica : |
Artículos en Revistas Indexadas Internacionales |
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Circulación / Nivel : |
A - 1 |
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Autor : |
CALINGACION, M.; LABORTE, A.; NELSON, A.; RESURRECCION, A.; CONCEPCION, J.C.; DAYGON, D.V.; MUMM, R.; REINKE, R.; DIPTI, S.; BASSINELLO, P.Z.; MANFUL, J.; SOPHANY, S.; LARA, K.C.; BAO, J.; XIE, L.; LOAIZA, K.; EL-HISSEWY, A.; GAYIN, J.; SHARMA, N.; RAJESWARI, S.; MANONMANI, S.; RANI, N.S.; KOTA, S.; INDRASARI, S.D.; HABIBI, F.; HOSSEINI, M.; TAVASOLI, F.; SUZUKI, K.; UMEMOTO, T.; BOUALAPHANH, C.; LEE, H.H.; HUNG, Y.P.; RAMLI, A.; AUNG, P.P.; AHMAD, R.; WATTOO, J.I.; BANDONILL, E.; ROMERO, M.; BRITES, C.M.; HAFEEL, R.; LUR, H.S.; CHEAUPUN, K.; JONGDEE, S.; BLANCO, P.; BRYANT, R.; LANG, N.T.; HALL, R.D.; FITZGERALD, M. |
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Afiliación : |
PEDRO HORACIO BLANCO BARRAL, Instituto Nacional de Investigación Agropecuaria (INIA), Uruguay. |
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Título : |
Diversity of global rice markets and the science required for consumer-targeted rice breeding. |
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Fecha de publicación : |
2014 |
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Fuente / Imprenta : |
Plos One, 2014, v. 9, no. 1; e85106 |
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DOI : |
10.1371/journal.pone.0085106 |
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Idioma : |
Inglés |
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Notas : |
Article history: Received July 8, 2013; accepted November 22, 2013; published January 14, 2014. |
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Contenido : |
Abstract
With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement
strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity
of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future.
Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market. MenosAbstract
With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement
strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity
of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future.
Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to comb... Presentar Todo |
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Palabras claves : |
GENETIC BREEDING; MOLECULAR MARKERS; QUALITY; RICE. |
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Thesagro : |
ARROZ; FITOMEJORAMIENTO. |
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Asunto categoría : |
F30 Genética vegetal y fitomejoramiento |
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Marc : |
LEADER 03720naa a2200781 a 4500
001 1050074
005 2019-10-11
008 2014 bl uuuu u00u1 u #d
024 7 $a10.1371/journal.pone.0085106$2DOI
100 1 $aCALINGACION, M.
245 $aDiversity of global rice markets and the science required for consumer-targeted rice breeding.$h[electronic resource]
260 $c2014
500 $aArticle history: Received July 8, 2013; accepted November 22, 2013; published January 14, 2014.
520 $aAbstract With the ever-increasing global demand for high quality rice in both local production regions and with Western consumers, we have a strong desire to understand better the importance of the different traits that make up the quality of the rice grain and obtain a full picture of rice quality demographics. Rice is by no means a ?one size fits all? crop. Regional preferences are not only striking, they drive the market and hence are of major economic importance in any rice breeding / improvement strategy. In this analysis, we have engaged local experts across the world to perform a full assessment of all the major rice quality trait characteristics and importantly, to determine how these are combined in the most preferred varieties for each of their regions. Physical as well as biochemical characteristics have been monitored and this has resulted in the identification of no less than 18 quality trait combinations. This complexity immediately reveals the extent of the specificity of consumer preference. Nevertheless, further assessment of these combinations at the variety level reveals that several groups still comprise varieties which consumers can readily identify as being different. This emphasises the shortcomings in the current tools we have available to assess rice quality and raises the issue of how we might correct for this in the future. Only with additional tools and research will we be able to define directed strategies for rice breeding which are able to combine important agronomic features with the demands of local consumers for specific quality attributes and hence, design new, improved crop varieties which will be awarded success in the global market.
650 $aARROZ
650 $aFITOMEJORAMIENTO
653 $aGENETIC BREEDING
653 $aMOLECULAR MARKERS
653 $aQUALITY
653 $aRICE
700 1 $aLABORTE, A.
700 1 $aNELSON, A.
700 1 $aRESURRECCION, A.
700 1 $aCONCEPCION, J.C.
700 1 $aDAYGON, D.V.
700 1 $aMUMM, R.
700 1 $aREINKE, R.
700 1 $aDIPTI, S.
700 1 $aBASSINELLO, P.Z.
700 1 $aMANFUL, J.
700 1 $aSOPHANY, S.
700 1 $aLARA, K.C.
700 1 $aBAO, J.
700 1 $aXIE, L.
700 1 $aLOAIZA, K.
700 1 $aEL-HISSEWY, A.
700 1 $aGAYIN, J.
700 1 $aSHARMA, N.
700 1 $aRAJESWARI, S.
700 1 $aMANONMANI, S.
700 1 $aRANI, N.S.
700 1 $aKOTA, S.
700 1 $aINDRASARI, S.D.
700 1 $aHABIBI, F.
700 1 $aHOSSEINI, M.
700 1 $aTAVASOLI, F.
700 1 $aSUZUKI, K.
700 1 $aUMEMOTO, T.
700 1 $aBOUALAPHANH, C.
700 1 $aLEE, H.H.
700 1 $aHUNG, Y.P.
700 1 $aRAMLI, A.
700 1 $aAUNG, P.P.
700 1 $aAHMAD, R.
700 1 $aWATTOO, J.I.
700 1 $aBANDONILL, E.
700 1 $aROMERO, M.
700 1 $aBRITES, C.M.
700 1 $aHAFEEL, R.
700 1 $aLUR, H.S.
700 1 $aCHEAUPUN, K.
700 1 $aJONGDEE, S.
700 1 $aBLANCO, P.
700 1 $aBRYANT, R.
700 1 $aLANG, N.T.
700 1 $aHALL, R.D.
700 1 $aFITZGERALD, M.
773 $tPlos One, 2014$gv. 9, no. 1; e85106
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