一个综合性,同行评审和开源的合作繁殖数据库 (Co-BreeD)
Yitzchak Ben Mocha1,2,3, Maike Woith1, Sophie Scemama de Gialluly3
1Department of Biology, University of Konstanz, Konstanz, Germany.
The Journal of animal ecology
|October 23, 2025
概括
一个新的数据库,合作繁殖数据库 (Co-BreeD),增强了对鸟类和哺乳动物合作繁殖的研究. 这个资源揭示了合作繁殖可能比以前想象的更常见.
科学领域:
- 进化生物学 进化生物学
- 行为生态学 行为生态学
- 动物学 动物学
背景情况:
- 合作繁殖,个人协助养育非后代的幼,对于理解社会进化至关重要.
- 现有的合作繁殖跨物种分析数据集往往缺乏准确性.
- 推进社会性和合作研究需要更强大的比较数据.
研究的目的:
- 引入鸟类和哺乳动物的合作繁殖数据库 (Co-BreeD).
- 为合作繁殖进行比较研究提供精确,以样本为基础的开源资源.
- 促进更深入地了解跨物种合作繁殖的流行和驱动因素.
主要方法:
- 综合补充数据集,涵盖与合作繁殖相关的各种生物参数.
- 用基于样本的数据构建数据库,将每个物种的多个记录与精确的位置和时间段联系起来.
- 确保数据库是开源的,以允许社区纠正和扩展.
主要成果:
- 最初的Co-BreeD数据集包括来自324个物种 (包括人类) 的460个种群的数据,详细介绍了43,247个繁殖事件.
- 证明了Co-BreeD在将合作繁殖视为连续性质方面的实用性,超越了二元分类.
- 初步发现表明,合作繁殖在鸟类和哺乳动物中可能比以前估计的更为普遍.
结论:
- Co-BreeD显著提高了合作繁殖的比较研究的精度和范围.
- 该数据库能够将特征变异与微小的环境参数联系起来.
- 合作繁殖是鸟类和哺乳动物中普遍存在的现象,需要进一步研究.
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