This paper by CORU’s Yulia Egorova, co-authored by CORU’s Gabriel Reygondeau and William Cheung, and IOF Professor Evgeny A. Pakhomov uses species distribution models to investigate the global distribution of mesopelagic mesozooplankton. The study employs ten modelling algorithms and analyses environmental factors influencing distribution, finding salinity, dissolved nitrate, and euphotic depth to be key predictors. Results highlight the uneven sampling across global oceans, impacting model accuracy, particularly in data-sparse regions. Both native range and unrestricted range models are compared, revealing that while unrestricted models offer smoother patterns, native range models better represent known distributions despite sampling biases. The study concludes that increased sampling is crucial for more precise predictions.
Species Distribution Models for Mesopelagic Mesozooplankton Community
January 16, 2025
Egorova, Y., Reygondeau, G., Cheung, W. W. L., & Pakhomov, E. A. (2024). Species Distribution Models for Mesopelagic Mesozooplankton Community. In Journal of Biogeography (Vol. 52, Issue 1, pp. 13–26). Wiley. https://doi.org/10.1111/jbi.15011