Harmful Ostreopsis cf. ovata blooms could extend in time span with climate change in the Western Mediterranean Sea

The data and R script provided are related to a study that aimed at simulating the abundance of Ostreopsis cf. ovata in the Western Mediterranean basin, under current and future climate conditions. We obtained O. cf. ovata abundance time series as part of long-term monitoring programs. We then statistically correct physical and biogeochemical reanalysis of the Mediterranean Sea to match in situ environmental conditions to use them as predictors of O cf. ovata cell abundance. Present and future climate simulations are also statistically corrected to fit the distribution of reanalysis. After calibrating and testing our niche model, we used it to identify the main environmental factors that explain O. cf. ovata abundance patterns and, in particular, the occurrence of large blooms in some regions., , , # Harmful *Ostreopsis cf. ovata* blooms could extend in time span with climate change in the Western Mediterranean Sea

[https://doi.org/10.5061/dryad.44j0zpcn5](https://doi.org/10.5061/dryad.44j0zpcn5)

## Description of the data and file structure

The data folder contains all the necessary data to run the models and analyses in R.

All the files, variables and units in the folder ./data are described in the **metadata.xlsx** file

* climate_models.parquet: Set climate models on a target spatio-temporal grid that involves interpolating on the chosen grid and averaging weekly. Physical product (sea temperature, salinity, and the zonal (u) and meridional) are from the CNRM-RCSM4 (Centre National de Recherches Météorologiques - Centre Européen de Recherche et de Formation Avancée en Calcul Scientifique 4) coupled regional climate system model itself driven by the CMIP5 CNRM-CM5 global climate mode following a high greenhouse gas emission scenario (RCP8.5). Biogeochemical variables (ni...

本数据集配套提供的数据与R脚本，关联一项旨在模拟当前及未来气候情景下西地中海盆地卵形奥氏藻比较种（Ostreopsis cf. ovata）丰度的研究。
作为长期海洋监测计划的一部分，本研究获取了卵形奥氏藻比较种的丰度时间序列数据。随后对地中海的物理与生物地球化学再分析数据开展统计校正，使其匹配原位环境观测条件，以此作为卵形奥氏藻比较种细胞丰度的预测因子。同时对当前及未来气候模拟数据进行统计校正，使其匹配再分析数据的分布特征。在完成生态位模型的校准与测试后，我们利用该模型识别了调控卵形奥氏藻比较种丰度分布格局的核心环境因子，尤其明确了部分区域大规模赤潮发生的关键驱动因素。

# 西地中海海域有害卵形奥氏藻比较种赤潮的持续时长或将随气候变化而延长

[https://doi.org/10.5061/dryad.44j0zpcn5](https://doi.org/10.5061/dryad.44j0zpcn5)

## 数据与文件结构说明
本数据文件夹包含了运行R语言模型及相关分析所需的全部数据。
./data文件夹内的所有文件、变量及单位信息，均在**metadata.xlsx**文件中予以说明。
* climate_models.parquet：目标时空网格气候模式数据集，涉及在选定网格上进行插值并按周做平均处理。物理要素产品（海温、盐度、纬向（u）与经向分量）源自法国国家气象研究中心-欧洲科学计算研究与高级培训中心4号耦合区域气候系统模式（CNRM-RCSM4），该模式由遵循高温室气体排放情景（RCP8.5）的CMIP5 CNRM-CM5全球气候模式驱动。生物地球化学变量（氮……