Telecoupling as a framework to support a more nuanced understanding of causality in land system science

This article illustrates the potential of the telecoupling framework to improve causal attribution in land system science (LSS). We shed light on the distinct analytical approaches that have characterized telecoupling research to date, how these can contribute to LSS with new insights, and whether s...

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Detalles Bibliográficos
Autores: Busck-Lumholt, Louise Marie|||0000-0001-6390-1357, Coenen, Johanna|||0000-0002-6551-6716, Persson, Joel, Frohn Pedersen, Anna|||0000-0003-4316-8447, Mertz, Ole|||0000-0002-3876-6779, Corbera, Esteve|||0000-0001-7970-4411
Tipo de recurso: artículo
Fecha de publicación:2022
País:España
Institución:Universitat Autònoma de Barcelona
Repositorio:Dipòsit Digital de Documents de la UAB
Idioma:inglés
OAI Identifier:oai:ddd.uab.cat:266018
Acceso en línea:https://ddd.uab.cat/record/266018
https://dx.doi.org/urn:doi:10.1080/1747423X.2022.2086640
Access Level:acceso abierto
Palabra clave:Causality
Land system science
Social-ecological systems
Telecoupling
Descripción
Sumario:This article illustrates the potential of the telecoupling framework to improve causal attribution in land system science (LSS). We shed light on the distinct analytical approaches that have characterized telecoupling research to date, how these can contribute to LSS with new insights, and whether such insights can improve causal attribution. By reviewing 45 empirical telecoupling studies, we firstly demonstrate how telecoupling is applied in a broad variety of ways within LSS and across different disciplines and research topics, albeit with qualitative data and assessments being underrepresented. Secondly, we show that telecoupling is clearer in its contribution to causal attribution when applied explicitly in framework integration or empirical application, rather than when it is included more indirectly as a narrative. Finally, we argue that telecoupling can complement existing LSS theory with a flexible and holistic approach to dealing with the uncertainties and complexities related to attributing causality in a globalized world.