Toward rigorous telecoupling causal attribution: A systematic review and typology

Autores
Carlson, Andrew K.; Zaehringer, Julie G.; Garrett, Rachael D.; Silva, Ramon Felipe Bicudo; Furumo, Paul R.; Raya Rey, Andrea Nélida; Torres, Aurora; Chung, Min Gon; Li, Yingjie; Liu, Jianguo
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Telecoupled flows of people, organisms, goods, information, and energy are expanding across the globe. Causes are integral components of the telecoupling framework, yet the rigor with which they have been identified and evaluated to date is unknown. We address this knowledge gap by systematically reviewing causal attribution in the telecoupling literature (n = 89 studies) and developing a standardized causal terminology and typology for consistent use in telecoupling research. Causes are defined based on six criteria: sector (e.g., environmental, economic), system of origin (i.e., sending, receiving, spillover), agent, distance, response time (i.e., time lapse between cause and effect), and direction (i.e., producing positive or negative effects). Using case studies from the telecoupling literature, we demonstrate the need to enhance the rigor of telecoupling causal attribution by combining qualitative and quantitative methods via process-tracing, counterfactual analysis, and related approaches. Rigorous qualitative-quantitative causal attribution is critical for accurately assessing the social-ecological causes and consequences of telecouplings and thereby identifying leverage points for informed management and governance of telecoupled systems.
Fil: Carlson, Andrew K.. Michigan State University; Estados Unidos
Fil: Zaehringer, Julie G.. University of Bern; Suiza
Fil: Garrett, Rachael D.. Boston University; Estados Unidos
Fil: Silva, Ramon Felipe Bicudo. Universidade Estadual de Campinas; Brasil
Fil: Furumo, Paul R.. Universidad de Puerto Rico; Puerto Rico
Fil: Raya Rey, Andrea Nélida. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Universidad Nacional de Tierra del Fuego; Argentina
Fil: Torres, Aurora. German Centre For Integrative Biodiversity Research; Alemania
Fil: Chung, Min Gon. Michigan State University; Estados Unidos
Fil: Li, Yingjie. Michigan State University; Estados Unidos
Fil: Liu, Jianguo. Michigan State University; Estados Unidos
Materia
CAUSALITY
CAUSE
COUPLED HUMAN AND NATURAL SYSTEMS
EFFECT
TELECOUPLING
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/94800
Acceder
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network_acronym_str CONICETDig
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network_name_str CONICET Digital (CONICET)
spelling Toward rigorous telecoupling causal attribution: A systematic review and typologyCarlson, Andrew K.Zaehringer, Julie G.Garrett, Rachael D.Silva, Ramon Felipe BicudoFurumo, Paul R.Raya Rey, Andrea NélidaTorres, AuroraChung, Min GonLi, YingjieLiu, JianguoCAUSALITYCAUSECOUPLED HUMAN AND NATURAL SYSTEMSEFFECTTELECOUPLINGhttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1Telecoupled flows of people, organisms, goods, information, and energy are expanding across the globe. Causes are integral components of the telecoupling framework, yet the rigor with which they have been identified and evaluated to date is unknown. We address this knowledge gap by systematically reviewing causal attribution in the telecoupling literature (n = 89 studies) and developing a standardized causal terminology and typology for consistent use in telecoupling research. Causes are defined based on six criteria: sector (e.g., environmental, economic), system of origin (i.e., sending, receiving, spillover), agent, distance, response time (i.e., time lapse between cause and effect), and direction (i.e., producing positive or negative effects). Using case studies from the telecoupling literature, we demonstrate the need to enhance the rigor of telecoupling causal attribution by combining qualitative and quantitative methods via process-tracing, counterfactual analysis, and related approaches. Rigorous qualitative-quantitative causal attribution is critical for accurately assessing the social-ecological causes and consequences of telecouplings and thereby identifying leverage points for informed management and governance of telecoupled systems.Fil: Carlson, Andrew K.. Michigan State University; Estados UnidosFil: Zaehringer, Julie G.. University of Bern; SuizaFil: Garrett, Rachael D.. Boston University; Estados UnidosFil: Silva, Ramon Felipe Bicudo. Universidade Estadual de Campinas; BrasilFil: Furumo, Paul R.. Universidad de Puerto Rico; Puerto RicoFil: Raya Rey, Andrea Nélida. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Universidad Nacional de Tierra del Fuego; ArgentinaFil: Torres, Aurora. German Centre For Integrative Biodiversity Research; AlemaniaFil: Chung, Min Gon. Michigan State University; Estados UnidosFil: Li, Yingjie. Michigan State University; Estados UnidosFil: Liu, Jianguo. Michigan State University; Estados UnidosMDPI2018-11info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/94800Carlson, Andrew K.; Zaehringer, Julie G.; Garrett, Rachael D.; Silva, Ramon Felipe Bicudo; Furumo, Paul R.; et al.; Toward rigorous telecoupling causal attribution: A systematic review and typology; MDPI; Sustainability (Switzerland); 10; 12; 11-2018; 1-172071-1050CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.3390/su10124426info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2071-1050/10/12/4426info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:43:24Zoai:ri.conicet.gov.ar:11336/94800instacron: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:34982025-09-03 09:43:25.157CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Toward rigorous telecoupling causal attribution: A systematic review and typology
title Toward rigorous telecoupling causal attribution: A systematic review and typology
spellingShingle Toward rigorous telecoupling causal attribution: A systematic review and typology
Carlson, Andrew K.
CAUSALITY
CAUSE
COUPLED HUMAN AND NATURAL SYSTEMS
EFFECT
TELECOUPLING
title_short Toward rigorous telecoupling causal attribution: A systematic review and typology
title_full Toward rigorous telecoupling causal attribution: A systematic review and typology
title_fullStr Toward rigorous telecoupling causal attribution: A systematic review and typology
title_full_unstemmed Toward rigorous telecoupling causal attribution: A systematic review and typology
title_sort Toward rigorous telecoupling causal attribution: A systematic review and typology
dc.creator.none.fl_str_mv Carlson, Andrew K.
Zaehringer, Julie G.
Garrett, Rachael D.
Silva, Ramon Felipe Bicudo
Furumo, Paul R.
Raya Rey, Andrea Nélida
Torres, Aurora
Chung, Min Gon
Li, Yingjie
Liu, Jianguo
author Carlson, Andrew K.
author_facet Carlson, Andrew K.
Zaehringer, Julie G.
Garrett, Rachael D.
Silva, Ramon Felipe Bicudo
Furumo, Paul R.
Raya Rey, Andrea Nélida
Torres, Aurora
Chung, Min Gon
Li, Yingjie
Liu, Jianguo
author_role author
author2 Zaehringer, Julie G.
Garrett, Rachael D.
Silva, Ramon Felipe Bicudo
Furumo, Paul R.
Raya Rey, Andrea Nélida
Torres, Aurora
Chung, Min Gon
Li, Yingjie
Liu, Jianguo
author2_role author
author
author
author
author
author
author
author
author
dc.subject.none.fl_str_mv CAUSALITY
CAUSE
COUPLED HUMAN AND NATURAL SYSTEMS
EFFECT
TELECOUPLING
topic CAUSALITY
CAUSE
COUPLED HUMAN AND NATURAL SYSTEMS
EFFECT
TELECOUPLING
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv Telecoupled flows of people, organisms, goods, information, and energy are expanding across the globe. Causes are integral components of the telecoupling framework, yet the rigor with which they have been identified and evaluated to date is unknown. We address this knowledge gap by systematically reviewing causal attribution in the telecoupling literature (n = 89 studies) and developing a standardized causal terminology and typology for consistent use in telecoupling research. Causes are defined based on six criteria: sector (e.g., environmental, economic), system of origin (i.e., sending, receiving, spillover), agent, distance, response time (i.e., time lapse between cause and effect), and direction (i.e., producing positive or negative effects). Using case studies from the telecoupling literature, we demonstrate the need to enhance the rigor of telecoupling causal attribution by combining qualitative and quantitative methods via process-tracing, counterfactual analysis, and related approaches. Rigorous qualitative-quantitative causal attribution is critical for accurately assessing the social-ecological causes and consequences of telecouplings and thereby identifying leverage points for informed management and governance of telecoupled systems.
Fil: Carlson, Andrew K.. Michigan State University; Estados Unidos
Fil: Zaehringer, Julie G.. University of Bern; Suiza
Fil: Garrett, Rachael D.. Boston University; Estados Unidos
Fil: Silva, Ramon Felipe Bicudo. Universidade Estadual de Campinas; Brasil
Fil: Furumo, Paul R.. Universidad de Puerto Rico; Puerto Rico
Fil: Raya Rey, Andrea Nélida. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Austral de Investigaciones Científicas; Argentina. Universidad Nacional de Tierra del Fuego; Argentina
Fil: Torres, Aurora. German Centre For Integrative Biodiversity Research; Alemania
Fil: Chung, Min Gon. Michigan State University; Estados Unidos
Fil: Li, Yingjie. Michigan State University; Estados Unidos
Fil: Liu, Jianguo. Michigan State University; Estados Unidos
description Telecoupled flows of people, organisms, goods, information, and energy are expanding across the globe. Causes are integral components of the telecoupling framework, yet the rigor with which they have been identified and evaluated to date is unknown. We address this knowledge gap by systematically reviewing causal attribution in the telecoupling literature (n = 89 studies) and developing a standardized causal terminology and typology for consistent use in telecoupling research. Causes are defined based on six criteria: sector (e.g., environmental, economic), system of origin (i.e., sending, receiving, spillover), agent, distance, response time (i.e., time lapse between cause and effect), and direction (i.e., producing positive or negative effects). Using case studies from the telecoupling literature, we demonstrate the need to enhance the rigor of telecoupling causal attribution by combining qualitative and quantitative methods via process-tracing, counterfactual analysis, and related approaches. Rigorous qualitative-quantitative causal attribution is critical for accurately assessing the social-ecological causes and consequences of telecouplings and thereby identifying leverage points for informed management and governance of telecoupled systems.
publishDate 2018
dc.date.none.fl_str_mv 2018-11
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/11336/94800
Carlson, Andrew K.; Zaehringer, Julie G.; Garrett, Rachael D.; Silva, Ramon Felipe Bicudo; Furumo, Paul R.; et al.; Toward rigorous telecoupling causal attribution: A systematic review and typology; MDPI; Sustainability (Switzerland); 10; 12; 11-2018; 1-17
2071-1050
CONICET Digital
CONICET
url http://hdl.handle.net/11336/94800
identifier_str_mv Carlson, Andrew K.; Zaehringer, Julie G.; Garrett, Rachael D.; Silva, Ramon Felipe Bicudo; Furumo, Paul R.; et al.; Toward rigorous telecoupling causal attribution: A systematic review and typology; MDPI; Sustainability (Switzerland); 10; 12; 11-2018; 1-17
2071-1050
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.3390/su10124426
info:eu-repo/semantics/altIdentifier/url/https://www.mdpi.com/2071-1050/10/12/4426
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv MDPI
publisher.none.fl_str_mv MDPI
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
_version_ 1842268600526700544
score 13.13397

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