Document Type
Article
Publication Date
2023
DOI
10.1093/icesjms/fsac228
Publication Title
ICES Journal of Marine Science
Volume
80
Issue
1
Pages
16-30
Abstract
The dynamics of marine systems at decadal scales are notoriously hard to predict-hence references to this timescale as the "grey zone" for ocean prediction. Nevertheless, decadal-scale prediction is a rapidly developing field with an increasing number of applications to help guide ocean stewardship and sustainable use of marine environments. Such predictions can provide industry and managers with information more suited to support planning and management over strategic timeframes, as compared to seasonal forecasts or long-term (century-scale) predictions. The most significant advances in capability for decadal-scale prediction over recent years have been for ocean physics and biogeochemistry, with some notable advances in ecological prediction skill. In this paper, we argue that the process of "lighting the grey zone" by providing improved predictions at decadal scales should also focus on including human dimensions in prediction systems to better meet the needs and priorities of end users. Our paper reviews information needs for decision-making at decadal scales and assesses current capabilities for meeting these needs. We identify key gaps in current capabilities, including the particular challenge of integrating human elements into decadal prediction systems. We then suggest approaches for overcoming these challenges and gaps, highlighting the important role of co-production of tools and scenarios, to build trust and ensure uptake with end users of decadal prediction systems. We also highlight opportunities for combining narratives and quantitative predictions to better incorporate the human dimension in future efforts to light the grey zone of decadal-scale prediction.
Rights
© The Authors 2022.
This is an Open Access article distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License, which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Data Availability
Article states: "No new data were generated or analysed in support of this research."
Original Publication Citation
Melbourne-Thomas, J., Tommasi, D., Gehlen, M., Murphy, E. J., Beckensteiner, J., Bravo, F., Eddy, T. D., Fischer, M., Fulton, E., Gogina, M., Hofmann, E., Ito, M., Mynott, S., Ortega-Cisneros, K., Osiecka, A. N., Payne, M. R., Saldívar-Lucio, R., & Scherrer, K. J. N. (2023). Integrating human dimensions in decadal-scale prediction for marine social-ecological systems: Lighting the grey zone. ICES Journal of Marine Science 80(1), 16-30. https://doi.org/10.1093/icesjms/fsac228
Repository Citation
Melbourne-Thomas, Jess; Tommasi, Desiree; Gehlen, Marion; Murphy, Eugene J.; Beckensteiner, Jennifer; Bravo, Francisco; Eddy, Tyler D.; Fischer, Mibu; Fulton, Elizabeth; Gogina, Mayya; Hofmann, Eileen; Ito, Maya; Mynott, Sara; Ortega-Cisneros, Kelly; Osiecka, Anna N.; Payne, Mark R.; Saldívar-Lucio, Romeo; and Scherrer, Kim J.N., "Integrating Human Dimensions in Decadal-Scale Prediction for Marine Social Ecological Systems: Lighting the Grey Zone" (2023). CCPO Publications. 382.
https://digitalcommons.odu.edu/ccpo_pubs/382
ORCID
0000-0001-6710-4371 (Hofmann)
Included in
Aquaculture and Fisheries Commons, Environmental Policy Commons, Oceanography Commons, Terrestrial and Aquatic Ecology Commons