Integrating human dimensions in decadal-scale prediction for marine social–ecological systems: lighting the grey zone
Melbourne-Thomas, Jess; Tommasi, Desiree; Gehlen, Marion; Murphy, Eugene J. ORCID: https://orcid.org/0000-0002-7369-9196; Beckensteiner, Jennifer; Bravo, Francisco; Eddy, Tyler D.; Fischer, Mibu; Fulton, Elizabeth; Gogina, Mayya; Hofmann, Eileen; Ito, Maysa; Mynott, Sara; Ortega-Cisneros, Kelly; Osiecka, Anna N.; Payne, Mark R.; Saldívar-Lucio, Romeo; Scherrer, Kim 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), fsac228. 16-30. 10.1093/icesjms/fsac228
Before downloading, please read NORA policies.Preview |
Text (Open Access)
© The Author(s) 2022. Published by Oxford University Press on behalf of International Council for the Exploration of the Sea. fsac228.pdf - Published Version Available under License Creative Commons Attribution 4.0. Download (1MB) | Preview |
Abstract/Summary
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.
Item Type: | Publication - Article |
---|---|
Digital Object Identifier (DOI): | 10.1093/icesjms/fsac228 |
ISSN: | 10543139 |
Additional Keywords: | decadal prediction, decision support tools, grey zone, human dimensions, indigenous science, marine social–ecological systems |
Date made live: | 28 Dec 2022 09:28 +0 (UTC) |
URI: | https://nora.nerc.ac.uk/id/eprint/533749 |
Actions (login required)
View Item |
Document Downloads
Downloads for past 30 days
Downloads per month over past year