Toward a complete interdisciplinary treatment of scale: Reflexive lessons from socioenvironmental systems modeling

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dc.contributor.authorIwanaga, Takuyaen
dc.contributor.authorWang, Hsiao-Hsuanen
dc.contributor.authorKoralewski, Tomasz E.en
dc.contributor.authorGrant, William E.en
dc.contributor.authorJakeman, Anthony J.en
dc.contributor.authorLittle, John C.en
dc.date.accessioned2022-04-20T14:57:13Zen
dc.date.available2022-04-20T14:57:13Zen
dc.date.issued2021-06-11en
dc.description.abstractThe pathways taken throughout any model-based process are undoubtedly influenced by the modeling team involved and the decision choices they make. For interconnected socioenvironmental systems (SES), such teams are increasingly interdisciplinary to enable a more expansive and holistic treatment that captures the purpose, the relevant disciplines and sectors, and other contextual settings. In practice, such interdisciplinarity increases the scope of what is considered, thereby increasing choices around model complexity and their effects on uncertainty. Nonetheless, the consideration of scale issues is one critical lens through which to view and question decision choices in the modeling cycle. But separation between team members, both geographically and by discipline, can make the scales involved more arduous to conceptualize, discuss, and treat. In this article, the practices, decisions, and workflow that influence the consideration of scale in SESs modeling are explored through reflexive accounts of two case studies. Through this process and an appreciation of past literature, we draw out several lessons under the following themes: (1) the fostering of collaborative learning and reflection, (2) documenting and justifying the rationale for modeling scale choices, some of which can be equally plausible (a perfect model is not possible), (3) acknowledging that causality is defined subjectively, (4) embracing change and reflection throughout the iterative modeling cycle, and (5) regularly testing the model integration to draw out issues that would otherwise be unnoticeable.en
dc.description.notesThe primary author (Takuya Iwanaga) is supported through an Australian Government Research Training Program Scholarship and a top-up scholarship from the Australian National University Hilda-John Endowment Fund. Hsiao-Hsuan Wang and Tomasz E. Koralewski acknowledge partial support from the USDA Agricultural Research Service provided through the Areawide Pest Management Program, "Areawide Pest Management of the Invasive Sugarcane Aphid in Grain Sorghum," project number 3072-22000-017-07-S. The Campaspe Integrated Model was developed as part of the Murray-Darling Basin Authority's partnership with the National Centre for Groundwater Research and Training under Contract No. MD2594. John Little acknowledges support from National Science Foundation (NSF) Award EEC 1937012. This work was also supported by the National Socio-Environmental Synthesis Center under funding received from the NSF DBI1639145.en
dc.description.sponsorshipAustralian Government Research Training Program ScholarshipAustralian GovernmentDepartment of Industry, Innovation and Science; Australian National University Hilda-John Endowment Fund; USDA Agricultural Research ServiceUnited States Department of Agriculture (USDA)USDA Agricultural Research Service [3072-22000-017-07-S]; National Centre for Groundwater Research and Training [MD2594]; National Science Foundation (NSF)National Science Foundation (NSF) [1937012]; National Socio-Environmental Synthesis Center [NSF DBI1639145]en
dc.description.versionPublished versionen
dc.format.mimetypeapplication/pdfen
dc.identifier.doihttps://doi.org/10.1525/elementa.2020.00182en
dc.identifier.issn2325-1026en
dc.identifier.issue1en
dc.identifier.other1en
dc.identifier.urihttp://hdl.handle.net/10919/109703en
dc.identifier.volume9en
dc.language.isoenen
dc.rightsCreative Commons Attribution 4.0 Internationalen
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.subjectReflexive analysisen
dc.subjectIntegrated assessment and modelingen
dc.subjectSystem-of-Systemsen
dc.subjectSocioenvironmental modelingen
dc.subjectInterdisciplinary teamsen
dc.subjectUncertaintyen
dc.titleToward a complete interdisciplinary treatment of scale: Reflexive lessons from socioenvironmental systems modelingen
dc.title.serialElementa-Science of the Anthropoceneen
dc.typeArticle - Refereeden
dc.type.dcmitypeTexten

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