全球关于Schizothoracinae鱼类物种发生率和功能特征的数据集
Tingqi Du1,2, Chengzhi Ding3,4,5,6, Ke Yang1,2
1Yunnan Key Laboratory of International Rivers and Transboundary Eco-Security, Yunnan University, Kunming, 650091, China.
Scientific data
|March 6, 2024
概括
一个新的数据集详细介绍了整个青海-西藏高原 (QTP) 的Schizothoracinae鱼的发生情况和功能特征. 这种资源有助于研究它们在这个独特环境中的进化,适应和保护.
科学领域:
- 鱼类学 鱼类学 鱼类学
- 进化生物学 进化生物学
- 生态生态学 生态生态学
- 古气候学 古气候学
背景情况:
- 这类鱼类居住在青海-西藏高原 (QTP),对于了解其地质和气候历史至关重要.
- 这些鱼与QTP升级一起共同进化,为适应机制提供了洞察力.
- 以前缺乏关于它们的发生和功能特征的全面数据集,这阻碍了研究和保护工作.
研究的目的:
- 创建一个全面的数据集的Schizothoracinae鱼类的出现情况和功能特征.
- 为研究这些鱼类的进化,历史生物地理,环境反应和保护提供有价值的资源.
主要方法:
- 从长期实地采样中系统收集数据.
- 整合来自出版物和在线数据库的信息.
- 包括7333个发生记录和3204个功能性质记录,涵盖12个属的125个物种/亚种.
主要成果:
- 一个涵盖所有Schizothoracinae属和物种的数据集已成功编制.
- 该数据集涵盖了超过180年的采样记录.
- 它包括32个不同的功能特征,提供了关于鱼类特征的详细视图.
结论:
- 新编制的数据集是促进对Schizothoracinae鱼类的研究的重要资源.
- 它将促进对进化过程和适应环境变化的适应策略的研究.
- 这些数据对于为这种独特的鱼群制定有效的保护战略至关重要.
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