从过渡水域获得的基于个体级特征的综合植物浮游生物数据集
Maira Laraib1, Jessica Titocci2, Ilaria Rosati3
1University of Salento, Department of Biological and Environmental Sciences and Technologies (DiSTeBA), Lecce, Italy. maira.laraib@unisalento.it.
Scientific data
|December 13, 2023
概括
这项研究整合了六个植物浮游生物特征数据集,提供了各种全球生态系统的详细个体级数据. 这些协调的FAIR数据集促进了植物浮游生物功能特征和社区动态的生态研究.
科学领域:
- 海洋生态海洋生态学
- 植物浮游生物生态学 生态学
- 基于特征的生态学
背景情况:
- 基于功能性质的方法在植物浮游生物生态学中越来越重要.
- 形态功能性特征在种群/物种内部和之间呈现变异,影响适应性和相互作用.
- 了解特征变异是预测浮游植物动态的关键.
研究的目的:
- 整合六个协调的植物浮游生物形态功能性特征数据集.
- 为了提供细粒度,个人级别的数据在一个大生物地理区域.
- 让这些FAIR数据集公开用于生态研究.
主要方法:
- 整合了六个植物浮游生物形态功能性特征数据集.
- 细粒度特征的数据,个人级记录.
- 数据使用达尔文核心标准和语义注释进行了协调.
主要成果:
- 一个127,311个单个植物浮游生物记录的综合数据集.
- 数据涵盖了五个生物地理区域:大西洋,太平洋,印度太平洋和地中海过渡水域.
- 六个FAIR数据集在意大利LifeWatch数据门户公开提供.
结论:
- 综合数据集支持植物浮游生物协会的形态功能分析.
- 方便对多个尺度 (从本地到全球) 的特征变异进行假设测试.
- 促进植物浮游生物生态的开放科学和协作研究.
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