欧洲生物气候数据集 (BioVars) 基于1971年至2098年期间的大型区域气候组合
Anne Reichmuth1,2, Oldrich Rakovec3,4, Friedrich Boeing3
1Helmholtz-Centre for Environmental Research - UFZ, Department Remote Sensing, Leipzig, 04318, Germany. anne.reichmuth@ufz.de.
Scientific data
|February 5, 2025
概括
这项研究为生态研究提供了一致的生物气候变量,这对于分析气候变化对物种分布的影响至关重要. 该数据集使用70个模拟来进行可靠的历史和未来气候预测.
科学领域:
- 生态生态学 生态生态学
- 气候科学 气候科学
- 环境建模环境建模
背景情况:
- 生态研究需要高质量的生物气候变量来分析气候引起的物种分布变化.
- 现有的全球生物气候数据集往往在历史和预测时期之间缺乏一致性.
研究的目的:
- 为生态研究提供26个生物气候变量的一致数据集.
- 为物种分布建模提供可靠的历史和未来气候数据.
主要方法:
- 计算了26个生物气候变量,使用了70个偏差调整的通用循环模型-区域气候模型 (GCM-RCM) 模拟 (1971-2098) 的大型组合.
- 通过在历史时期和预测时期使用相同的模型来确保一致性.
- 根据E-OBS的观察结果验证了变量,并为RCP 2.6,4.5和8.5场景提供了数据,包括百分位和个别实现.
主要成果:
- 现在可以获得26个生物气候变量的一致数据集,涵盖历史和未来时期 (2021-2098).
- 数据集包括由代表性度路径 (RCP) 和每个实现分离的变量,并提取时间百分位数 (第5,第50,第95).
结论:
- 这种全面和一致的数据集有助于更准确地分析气候变化对物种分布的影响.
- 经过验证的多场景生物气候数据的可用性支持了可靠的生态预测和保护计划.
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