Uncertainty in and around biophysical modelling: insights from interdisciplinary research on agricultural digitalization
| العنوان: | Uncertainty in and around biophysical modelling: insights from interdisciplinary research on agricultural digitalization |
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| المؤلفون: | S C Finlay-Smits, Mostafa Sharifi, E. D. Meenken, Martin Espig, David M. Wheeler |
| المصدر: | Royal Society Open Science Royal Society Open Science, Vol 7, Iss 12 (2020) |
| بيانات النشر: | The Royal Society, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | 010504 meteorology & atmospheric sciences, Computer science, engineering, 0208 environmental biotechnology, Digital data, 02 engineering and technology, 01 natural sciences, social science, lcsh:Science, uncertainty, 0105 earth and related environmental sciences, Ecology, Conservation, and Global Change Biology, Multidisciplinary, business.industry, Simulation modeling, Subject (documents), biophysical modelling, Data science, 020801 environmental engineering, Agriculture, statistics, interdisciplinary research, lcsh:Q, business, Research Article |
| الوصف: | Agricultural digitalization is providing growing amounts of real-time digital data. Biophysical simulation models can help interpret these data. However, these models are subject to complex uncertainties, which has prompted calls for interdisciplinary research to better understand and communicate modelling uncertainties and their impact on decision-making. This article develops two corresponding insights from an interdisciplinary project in a New Zealand agricultural research organization. First, we expand on a recentRoyal Society Open Sciencejournal article (van der Bleset al. 2019Royal Society Open Science6, 181870 (doi:10.1098/rsos.181870)) and suggest a threefold conceptual framework to describe direct, indirect and contextual uncertainties associated with biophysical models. Second, we reflect on the process of developing this framework to highlight challenges to successful collaboration and the importance of a deeper engagement with interdisciplinarity. This includes resolving often unequal disciplinary standings and the need for early collaborative problem framing. We propose that both insights are complementary and informative to researchers and practitioners in the field of modelling uncertainty as well as to those interested in interdisciplinary environmental research generally. The article concludes by outlining limitations of interdisciplinary research and a shift towards transdisciplinarity that also includes non-scientists. Such a shift is crucial to holistically address uncertainties associated with biophysical modelling and to realize the full potential of agricultural digitalization. |
| اللغة: | English |
| تدمد: | 2054-5703 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3e1564b6771e6b33be9edbef9908af6 http://europepmc.org/articles/PMC7813261 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....d3e1564b6771e6b33be9edbef9908af6 |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 20545703 |
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