Impacts of Climate Change on the Biogeography of Three Amnesic Shellfish Toxin Producing Diatom Species

Toxins (Basel). 2022 Dec 22;15(1):9. doi: 10.3390/toxins15010009.

Abstract

Harmful algal blooms (HABs) are considered one of the main risks for marine ecosystems and human health worldwide. Climate change is projected to induce significant changes in species geographic distribution, and, in this sense, it is paramount to accurately predict how it will affect toxin-producing microalgae. In this context, the present study was intended to project the potential biogeographical changes in habitat suitability and occurrence distribution of three key amnesic shellfish toxin (AST)-producing diatom species (i.e., Pseudo-nitzschia australis, P. seriata, and P. fraudulenta) under four different climate change scenarios (i.e., RCP-2.6, 4.5, 6.0, and 8.5) up to 2050 and 2100. For this purpose, we applied species distribution models (SDMs) using four abiotic predictors (i.e., sea surface temperature, salinity, current velocity, and bathymetry) in a MaxEnt framework. Overall, considerable contraction and potential extirpation were projected for all species at lower latitudes together with projected poleward expansions into higher latitudes, mainly in the northern hemisphere. The present study aims to contribute to the knowledge on the impacts of climate change on the biogeography of toxin-producing microalgae species while at the same time advising the correct environmental management of coastal habitats and ecosystems.

Keywords: amnesic shellfish poisoning; biogeography; climate change; harmful algal blooms; species distribution models.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Climate Change
  • Diatoms*
  • Ecosystem
  • Harmful Algal Bloom
  • Humans
  • Marine Toxins
  • Microalgae*
  • Shellfish / analysis

Substances

  • Marine Toxins

Grants and funding

This study is part of project EVOTOX “Evolution of harmful algae blooms under ocean acidification and the cascading effects on coastal food-web dynamics”, which is funded by the Fundação para a Ciência e Tecnologia (FCT) under grant agreement PTDC/BIA-BMA/28317/2017. The study also had the support of FCT through the strategic project UIDB/04292/2020 awarded to MARE, project LA/P/0069/2020 granted to the Associate Laboratory ARNET, a Ph.D. fellowship attributed to F.O.B. (SFRH/BD/147294/2019), and a postdoctoral contract to V.M.L. (PTDC/CTA-AMB/30226/2017). This project was also supported by Portuguese national funds from FCT through projects UIDB/04326/2020, UIDP/04326/2020, and LA/P/0101/2020.