An intercomparison of models predicting growth of Antarctic krill (Euphausia superba): The importance of recognizing model specificity

PLoS One. 2023 Jul 28;18(7):e0286036. doi: 10.1371/journal.pone.0286036. eCollection 2023.

Abstract

Antarctic krill (Euphausia superba) is a key species of the Southern Ocean, impacted by climate change and human exploitation. Understanding how these changes affect the distribution and abundance of krill is crucial for generating projections of change for Southern Ocean ecosystems. Krill growth is an important indicator of habitat suitability and a series of models have been developed and used to examine krill growth potential at different spatial and temporal scales. The available models have been developed using a range of empirical and mechanistic approaches, providing alternative perspectives and comparative analyses of the key processes influencing krill growth. Here we undertake an intercomparison of a suite of the available models to understand their sensitivities to major driving variables. This illustrates that the results are strongly determined by the model structure and technical characteristics, and the data on which they were developed and validated. Our results emphasize the importance of assessing the constraints and requirements of individual krill growth models to ensure their appropriate application. The study also demonstrates the value of the development of alternative modelling approaches to identify key processes affecting the dynamics of krill. Of critical importance for modelling the growth of krill is appropriately assessing and accounting for differences in estimates of food availability resulting from alternative methods of observation. We suggest that an intercomparison approach is particularly valuable in the development and application of models for the assessment of krill growth potential at circumpolar scales and for future projections. As another result of the intercomparison, the implementations of the models used in this study are now publicly available for future use and analyses.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Antarctic Regions
  • Climate Change
  • Ecosystem*
  • Euphausiacea*
  • Humans
  • Seafood

Grants and funding

UB, BM and DB were supported by the German Research Foundation (DFG, grant number 411096565). DB was also supported by the Professor Bingel Stiftung of the German Academic Exchange Service (grant number 57646206). SET and EJM were supported by NC-ALI funding to the Ecosystems team at the British Antarctic Survey. UB was also supported by the Technical University Dresden professorship funding. BM was also supported by internal fundings of the Alfred Wegener Institute. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. There was no additional external funding received for this study.