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Realised niche and suitability index highlight spatial and temporal distribution of toxic phytoplankton species

机译：实现利基和适用性指数突出了有毒浮游植物的空间和时间分布

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Understanding the spatial and temporal preferences of toxic phytoplankton species is of paramount importance in managing and predicting harmful events in aquatic ecosystems. In this study, we addressed the realised niche of the species Alexandrium minutum, Pseudonitzschia fraudulenta and P. australis to highlight distribution patterns at different scales and determine possible drivers. To achieve this goal, we developed original procedures coupling niche theory and habitat suitability modelling using abundance data in 4 consecutive steps: (1) estimate the realised niche applying kernel functions, (2) assess differences between the species' niches as a whole and at the local level, (3) develop habitat and temporal suitability models using niche overlap procedures and (4) explore species temporal and spatial distributions to highlight possible drivers. We used data on species abundance and environmental variables collected over 27 yr (1988-2014), including 139 coastal water sampling sites along the French Atlantic coast. Results showed that the niches occupied by A. minutum and P. australis are very different, although both species exhibit a preference for warmer months. They both respond to decadal summer North Atlantic Oscillation (sNAO) but in an opposite way. P. fraudulenta's realised niche lies in between that of the 2 other species; it also prefers warmer months but does not respond to decadal sNAO. The Brittany peninsula is now classified as an area of prevalence for the 3 species. The methodology used here will allow us to anticipate species distributions in the event of future environmental challenges resulting from climate change scenarios.
机译：了解有毒浮游植物物种的空间和时间偏好对于管理和预测水生生态系统中有害事件至关重要。在这项研究中，我们解决了物种亚历山大学Minutum，Pseudonitzschia Fraududula和P. Australis的Impied的利基，以突出不同尺度的分布模式，并确定可能的司机。为了实现这一目标，我们开发了使用丰富数据的利基理论和栖息地适用性建模的原始程序：（1）（1）估计了应用内核功能的实现的利基，（2）评估物种的利基作为整体和at的差异本地层面，（3）使用利基重叠程序和（4）探索物种时间和空间分布，开发栖息地和时间适用性模型，以突出显示可能的驱动器。我们在27岁（1988-2014）上收集了物种丰富和环境变量的数据，包括沿着法国大西洋海岸的139个沿海水采样点。结果表明，南澳大利亚州和P.澳大利亚占据的酋长均非常不同，尽管两个物种都表现出对较温暖的月份的偏好。他们都回应了Decadal Summer North大西洋振荡（Snao），但以相反的方式回应。 P. Fraududuta的实现利基位于其他2种的内容;它也更加倾向于温暖的月份，但没有回应Decadal Snao。布列塔尼半岛现在被归类为3种的普遍存在。这里使用的方法将使我们预期在未来环境挑战导致气候变化情景导致的环境挑战中预测物种。

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