MARE-Marine and Environmental Sciences Centre & ARNET-Aquatic Research Network, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
Departamento de Biologia Animal, Faculdade de Ciências, Universidade de Lisboa, 1749-016 Lisboa, Portugal.
Toxins (Basel). 2022 Dec 22;15(1):9. doi: 10.3390/toxins15010009.
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., , , and ) 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.
有害藻华 (HABs) 被认为是全球海洋生态系统和人类健康的主要风险之一。气候变化预计会导致物种地理分布发生重大变化,因此,准确预测气候变化将如何影响产毒微藻至关重要。在这种情况下,本研究旨在根据四个不同的气候变化情景(RCP-2.6、4.5、6.0 和 8.5),预测到 2050 年和 2100 年,三种关键的失忆性贝类毒素 (AST) 产硅藻(即、和)生境适宜性和发生分布的潜在生物地理变化。为此,我们在 MaxEnt 框架中使用了四个非生物预测因子(即海面温度、盐度、海流和水深)来应用物种分布模型 (SDM)。总体而言,所有物种在低纬度地区的收缩和潜在灭绝预计都将相当大,同时预计在高纬度地区向极地扩张,主要在北半球。本研究旨在为气候变化对产毒微藻物种生物地理学的影响提供知识,并同时为沿海生境和生态系统的正确环境管理提供建议。