A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector
- Autores
- Paruelo, José; Camba Sans, Gonzalo Hernán; Gallego, Federico; Baldassini, Pablo; Staiano, Luciana; Baeza, Santiago; Dieguez, Hernan Dario
- Año de publicación
- 2024
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- Ensuring food production while enhancing environmental sustainability is a critical challenge in the 21st century. Quantitative descriptions of environmental performance at the farm level are essential for evaluating agricultural production, aligning with climate and biodiversity goals, and facilitating sustainable transitions. However, many existing indicators and proxies rely on costly field-collected data with limited spatial generalization.In this study, we assessed the environmental performance of Uruguayan farms larger than 5 ha using seven synoptic indicators derived from remote sensing. These indicators included the proportion of natural habitats (NatHab), diversity of Ecosystem Functional Types (dEFT), supply of regulating and supporting Ecosystem Services (ESSI), their temporal trends (tESSI), Energy Available for Trophic Network (EATN; 1- Human Appropriation of Net Primary Production), Hydrological Yield (HY), and Soil Conservation (SC).We categorized rural cadastral units from different geomorphological regions into Cropland, Mixed, and Livestock production types. Results showed variations in environmental performance among production systems and regions, with livestock farms generally outperforming and exhibiting less variability. However, cropland farms displayed potential for comparable environmental performance to less intensified areas.Regional disparities were evident, with the Basaltic region demonstrating higher overall performance. Indicators such as NatHabs, dEFT, and EATN exhibited significant variation, reflecting land-use and management practices. HY also showcased notable regional and land-use differences, influenced by soil characteristics and landscape features. SC varied mainly between geomorphological regions. Interestingly, regional patterns differed among indicators, suggesting low redundancy.This study provides valuable insights into environmental performance and its spatial dynamics in the Uruguayan agricultural sector, informing land management and policy decisions. Future studies should engage diverse social actors to develop an environmental performance index for agricultural production, enhancing the sustainability of food production systems.
Fil: Paruelo, José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Camba Sans, Gonzalo Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Gallego, Federico. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina
Fil: Baldassini, Pablo. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Staiano, Luciana. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina
Fil: Baeza, Santiago. Universidad de la Republica. Facultad de Agricultura; Uruguay
Fil: Dieguez, Hernan Dario. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina - Materia
-
ENVIRONMENTAL INDICATORS
SUSTAINABILITY
REMOTE SENSING
FOOD PRODUCTION SYSTEMS - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/267434
Ver los metadatos del registro completo
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A comprehensive analysis of the environmental performance of the Uruguayan agricultural sectorParuelo, JoséCamba Sans, Gonzalo HernánGallego, FedericoBaldassini, PabloStaiano, LucianaBaeza, SantiagoDieguez, Hernan DarioENVIRONMENTAL INDICATORSSUSTAINABILITYREMOTE SENSINGFOOD PRODUCTION SYSTEMShttps://purl.org/becyt/ford/4.5https://purl.org/becyt/ford/4https://purl.org/becyt/ford/1.5https://purl.org/becyt/ford/1Ensuring food production while enhancing environmental sustainability is a critical challenge in the 21st century. Quantitative descriptions of environmental performance at the farm level are essential for evaluating agricultural production, aligning with climate and biodiversity goals, and facilitating sustainable transitions. However, many existing indicators and proxies rely on costly field-collected data with limited spatial generalization.In this study, we assessed the environmental performance of Uruguayan farms larger than 5 ha using seven synoptic indicators derived from remote sensing. These indicators included the proportion of natural habitats (NatHab), diversity of Ecosystem Functional Types (dEFT), supply of regulating and supporting Ecosystem Services (ESSI), their temporal trends (tESSI), Energy Available for Trophic Network (EATN; 1- Human Appropriation of Net Primary Production), Hydrological Yield (HY), and Soil Conservation (SC).We categorized rural cadastral units from different geomorphological regions into Cropland, Mixed, and Livestock production types. Results showed variations in environmental performance among production systems and regions, with livestock farms generally outperforming and exhibiting less variability. However, cropland farms displayed potential for comparable environmental performance to less intensified areas.Regional disparities were evident, with the Basaltic region demonstrating higher overall performance. Indicators such as NatHabs, dEFT, and EATN exhibited significant variation, reflecting land-use and management practices. HY also showcased notable regional and land-use differences, influenced by soil characteristics and landscape features. SC varied mainly between geomorphological regions. Interestingly, regional patterns differed among indicators, suggesting low redundancy.This study provides valuable insights into environmental performance and its spatial dynamics in the Uruguayan agricultural sector, informing land management and policy decisions. Future studies should engage diverse social actors to develop an environmental performance index for agricultural production, enhancing the sustainability of food production systems.Fil: Paruelo, José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Camba Sans, Gonzalo Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Gallego, Federico. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; ArgentinaFil: Baldassini, Pablo. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Staiano, Luciana. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; ArgentinaFil: Baeza, Santiago. Universidad de la Republica. Facultad de Agricultura; UruguayFil: Dieguez, Hernan Dario. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaElsevier Science2024-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/267434Paruelo, José; Camba Sans, Gonzalo Hernán; Gallego, Federico; Baldassini, Pablo; Staiano, Luciana; et al.; A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector; Elsevier Science; Ecological Indicators; 166; 9-2024; 1-131470-160XCONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1470160X24008422info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2024.112385info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T10:18:29Zoai:ri.conicet.gov.ar:11336/267434instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-29 10:18:29.408CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector |
title |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector |
spellingShingle |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector Paruelo, José ENVIRONMENTAL INDICATORS SUSTAINABILITY REMOTE SENSING FOOD PRODUCTION SYSTEMS |
title_short |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector |
title_full |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector |
title_fullStr |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector |
title_full_unstemmed |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector |
title_sort |
A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector |
dc.creator.none.fl_str_mv |
Paruelo, José Camba Sans, Gonzalo Hernán Gallego, Federico Baldassini, Pablo Staiano, Luciana Baeza, Santiago Dieguez, Hernan Dario |
author |
Paruelo, José |
author_facet |
Paruelo, José Camba Sans, Gonzalo Hernán Gallego, Federico Baldassini, Pablo Staiano, Luciana Baeza, Santiago Dieguez, Hernan Dario |
author_role |
author |
author2 |
Camba Sans, Gonzalo Hernán Gallego, Federico Baldassini, Pablo Staiano, Luciana Baeza, Santiago Dieguez, Hernan Dario |
author2_role |
author author author author author author |
dc.subject.none.fl_str_mv |
ENVIRONMENTAL INDICATORS SUSTAINABILITY REMOTE SENSING FOOD PRODUCTION SYSTEMS |
topic |
ENVIRONMENTAL INDICATORS SUSTAINABILITY REMOTE SENSING FOOD PRODUCTION SYSTEMS |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/4.5 https://purl.org/becyt/ford/4 https://purl.org/becyt/ford/1.5 https://purl.org/becyt/ford/1 |
dc.description.none.fl_txt_mv |
Ensuring food production while enhancing environmental sustainability is a critical challenge in the 21st century. Quantitative descriptions of environmental performance at the farm level are essential for evaluating agricultural production, aligning with climate and biodiversity goals, and facilitating sustainable transitions. However, many existing indicators and proxies rely on costly field-collected data with limited spatial generalization.In this study, we assessed the environmental performance of Uruguayan farms larger than 5 ha using seven synoptic indicators derived from remote sensing. These indicators included the proportion of natural habitats (NatHab), diversity of Ecosystem Functional Types (dEFT), supply of regulating and supporting Ecosystem Services (ESSI), their temporal trends (tESSI), Energy Available for Trophic Network (EATN; 1- Human Appropriation of Net Primary Production), Hydrological Yield (HY), and Soil Conservation (SC).We categorized rural cadastral units from different geomorphological regions into Cropland, Mixed, and Livestock production types. Results showed variations in environmental performance among production systems and regions, with livestock farms generally outperforming and exhibiting less variability. However, cropland farms displayed potential for comparable environmental performance to less intensified areas.Regional disparities were evident, with the Basaltic region demonstrating higher overall performance. Indicators such as NatHabs, dEFT, and EATN exhibited significant variation, reflecting land-use and management practices. HY also showcased notable regional and land-use differences, influenced by soil characteristics and landscape features. SC varied mainly between geomorphological regions. Interestingly, regional patterns differed among indicators, suggesting low redundancy.This study provides valuable insights into environmental performance and its spatial dynamics in the Uruguayan agricultural sector, informing land management and policy decisions. Future studies should engage diverse social actors to develop an environmental performance index for agricultural production, enhancing the sustainability of food production systems. Fil: Paruelo, José. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Camba Sans, Gonzalo Hernán. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Gallego, Federico. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina Fil: Baldassini, Pablo. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina Fil: Staiano, Luciana. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Parque Centenario. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura. Universidad de Buenos Aires. Facultad de Agronomía. Instituto de Investigaciones Fisiológicas y Ecológicas Vinculadas a la Agricultura; Argentina Fil: Baeza, Santiago. Universidad de la Republica. Facultad de Agricultura; Uruguay Fil: Dieguez, Hernan Dario. Universidad de Buenos Aires. Facultad de Agronomía. Departamento de Métodos Cuantitativos y Sistemas de Información; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina |
description |
Ensuring food production while enhancing environmental sustainability is a critical challenge in the 21st century. Quantitative descriptions of environmental performance at the farm level are essential for evaluating agricultural production, aligning with climate and biodiversity goals, and facilitating sustainable transitions. However, many existing indicators and proxies rely on costly field-collected data with limited spatial generalization.In this study, we assessed the environmental performance of Uruguayan farms larger than 5 ha using seven synoptic indicators derived from remote sensing. These indicators included the proportion of natural habitats (NatHab), diversity of Ecosystem Functional Types (dEFT), supply of regulating and supporting Ecosystem Services (ESSI), their temporal trends (tESSI), Energy Available for Trophic Network (EATN; 1- Human Appropriation of Net Primary Production), Hydrological Yield (HY), and Soil Conservation (SC).We categorized rural cadastral units from different geomorphological regions into Cropland, Mixed, and Livestock production types. Results showed variations in environmental performance among production systems and regions, with livestock farms generally outperforming and exhibiting less variability. However, cropland farms displayed potential for comparable environmental performance to less intensified areas.Regional disparities were evident, with the Basaltic region demonstrating higher overall performance. Indicators such as NatHabs, dEFT, and EATN exhibited significant variation, reflecting land-use and management practices. HY also showcased notable regional and land-use differences, influenced by soil characteristics and landscape features. SC varied mainly between geomorphological regions. Interestingly, regional patterns differed among indicators, suggesting low redundancy.This study provides valuable insights into environmental performance and its spatial dynamics in the Uruguayan agricultural sector, informing land management and policy decisions. Future studies should engage diverse social actors to develop an environmental performance index for agricultural production, enhancing the sustainability of food production systems. |
publishDate |
2024 |
dc.date.none.fl_str_mv |
2024-09 |
dc.type.none.fl_str_mv |
info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion http://purl.org/coar/resource_type/c_6501 info:ar-repo/semantics/articulo |
format |
article |
status_str |
publishedVersion |
dc.identifier.none.fl_str_mv |
http://hdl.handle.net/11336/267434 Paruelo, José; Camba Sans, Gonzalo Hernán; Gallego, Federico; Baldassini, Pablo; Staiano, Luciana; et al.; A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector; Elsevier Science; Ecological Indicators; 166; 9-2024; 1-13 1470-160X CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/267434 |
identifier_str_mv |
Paruelo, José; Camba Sans, Gonzalo Hernán; Gallego, Federico; Baldassini, Pablo; Staiano, Luciana; et al.; A comprehensive analysis of the environmental performance of the Uruguayan agricultural sector; Elsevier Science; Ecological Indicators; 166; 9-2024; 1-13 1470-160X CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://linkinghub.elsevier.com/retrieve/pii/S1470160X24008422 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.ecolind.2024.112385 |
dc.rights.none.fl_str_mv |
info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by-nc/2.5/ar/ |
eu_rights_str_mv |
openAccess |
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https://creativecommons.org/licenses/by-nc/2.5/ar/ |
dc.format.none.fl_str_mv |
application/pdf application/pdf application/pdf application/pdf application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier Science |
publisher.none.fl_str_mv |
Elsevier Science |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) |
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CONICET Digital (CONICET) |
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Consejo Nacional de Investigaciones Científicas y Técnicas |
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CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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13.070432 |