与季节性同步:在整个分布范围内预测鹿分娩现象学
Johanna Kauffert1, A J Mark Hewison2,3, Benedikt Gehr4,5
1Professorship of Ecoclimatology, TUM School of Life Sciences, Technical University of Munich, Freising, Germany.
The Journal of animal ecology
|October 3, 2025
概括
鹿的分娩时间受到欧洲各地的海拔和气候可预测性的影响. 环境的可预测性,不仅仅是度和海拔,是理解这些生命历史事件的关键.
科学领域:
- 生态生态学 生态生态学
- 动物学 动物学
- 现象学 现象学是指现象学.
背景情况:
- 度和海拔高度是常见的,但不够的现象变化的预测因素.
- 环境的可预测性是一个研究不足的选择性力量,塑造了生命历史事件.
研究的目的:
- 调查环境可预测性如何影响欧洲各地的鹿分娩现象学.
- 为了比较环境可预测性与传统度和海拔模型的预测能力.
主要方法:
- 汇编了欧洲各地的鹿分娩数据 (EURODEER,公民科学).
- 使用Colwell的指标 (意外性,恒定性) 与气候和NDVI数据的量化环境可预测性.
- 利用一个通用的附加模型的位置,规模和形状 (GAMLSS) 来预测分娩时间和同步.
主要成果:
- 鹿的分娩时间与海拔和季节性环境条件保持一致.
- 观察到西向东转向晚产,可能是由于西部气候较温和.
- 在分娩同步和环境可预测性之间没有发现一致的联系.
结论:
- 环境的可预测性对于理解鹿出生时间的空间变化至关重要.
- 对于特定区域的适应,特别是气候变化,必须考虑宏观现象过程和空间变化.
- 小规模的景观因素可能比广泛的环境可预测性更多地影响分娩同步.
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