Evaluating ecosystem change as Gulf of Alaska temperature exceeds the limits of preindustrial variability

Litzowa, MA; Hunsicker, ME; Ward, EJ; Andersond, SC; Gaoc, J; Zadorf, S; Batteng, S; Dresselh, S; Duffy-Anderson, J; Fergusson, E et al. 2020 Evaluating ecosystem change as Gulf of Alaska temperature exceeds the limits of preindustrial variability. Progress in Oceanography, 186, 102393. https://doi.org/10.1016/j.pocean.2020.102393

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Abstract/Summary

The Gulf of Alaska experienced extreme temperatures during 2014–2019, including the four warmest years ever observed. The goal of this study is to evaluate the ecological consequences of that warming event, across multiple trophic levels and taxa. We tested for evidence that observed sea surface temperature (SST) anomalies were outside the envelope of natural climate variability in order to evaluate the risk of novel ecosystem configurations. We also tested for state changes in shared trends of climate (n = 11) and biology (n = 48) time series, using a Bayesian implementation of Dynamic Factor Analysis (DFA). And we tested for evidence of novel ecological relationships during 2014–2019. We found that 3-year running mean SST anomalies during 2014–2019 were outside the range of anomalies from preindustrial simulations in CMIP5 models, indicating that the combined magnitude and duration of the warming event was outside the range of natural variability. A DFA model of climate variability also returned a shared trend in climate time series that was at unprecedented levels during 2014–2019. However, DFA models fit to biology data did not show shared trends of variability at unprecedented levels, and Hidden Markov Models fit to shared trends from the climate and biology models failed to find evidence of shifts to a new ecosystem state during 2014–2019. Conversely, we did find preliminary indications that community responses to SST variability strengthened during 2014–2019 after decades of a mostly neutral relationship. Tests for nonstationary patterns of shared variability suggest that covariance between SST and other ecologically-important climate variables remained weaker than during the 1970s Pacific Decadal Oscillation shift, suggesting the potential for muted ecological responses to the 2014–2019 event. Finally, we found that recent patterns of community variability appear to be highly dissimilar to those associated with the 1970s event, suggesting the potential for novel community states with continued warming. In summary, we find no evidence for wholesale ecosystem reorganization during 2014–2019, though nonstationary relationships among climate and community variables suggest the ongoing possibility of novel patterns of ecosystem functioning with continued warming.

Item Type: Publication - Article
Additional Keywords: Bayesian Dynamic Factor Analysis, Climate change, Climate variability. Gulf of Alaska, Ecosystem response, Nonstationary relationship
Subjects: Marine Sciences
Divisions: Marine Biological Association of the UK > Ecosystems and Environmental Change > Global environmental change and marine ecosystems
Depositing User: Emily Smart
Date made live: 10 Sep 2021 11:15
Last Modified: 10 Sep 2021 11:15
URI: http://plymsea.ac.uk/id/eprint/9350

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