Digital biodiversity data sets reveal breeding phenology and its drivers in a widespread North American mammal
Digital biodiversity data sets reveal breeding phenology and its drivers in a widespread North American mammal
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数字生物多样性数据集揭示了广泛分布的北美哺乳动物的繁殖物候及其驱动因素
DOI：
10.1002/ecy.3258
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发表时间：
2021
期刊：
影响因子：
4.8
通讯作者：
Guralnick, Robert P.
中科院分区：
文献类型：
--
作者：
McLean, Bryan S.;Guralnick, Robert P.
生殖时机的改变是生物体对全球气候变化最常见的有记录的反应之一。然而，我们对这些反应的了解偏向于在现有生物多样性数据集中容易观察和丰富的分类群。哺乳动物是生殖生物学中常见的研究对象，但野生哺乳动物的物候及其驱动因素仍然知之甚少，因为许多物种很小，很隐秘，或者太过劳动密集型，无法监测。我们采用了一种基于信息学的方法，利用数字化博物馆标本的个体水平生殖观察和横跨100度和45度纬度的野外普查，重建了分布广泛的北美鹿鼠(Permyscus Manulatus)的繁殖物候。我们重建了不同地区的雌性物候，并测试了三个环境变量(光周期、温度、降水量)作为繁殖线索的重要性。光周期和温度分别是强烈的积极和消极的繁殖线索，而降水不是繁殖物候的显著预测因子。然而，物候和环境线索的使用在不同地区有很大不同，我们发现有证据表明，这些线索曲目是根据生态系统特定的限制条件进行调整的。我们的结果重申了生态环境在优化繁殖方面的重要性，并展示了跨生物多样性数据资源的协调如何允许对野生哺乳动物的物候及其驱动因素进行新的洞察。
Shifts in reproductive timing are among the most commonly documented responses of organisms to global climate change. However, our knowledge of these responses is biased towards taxa that are easily observable and abundant in existing biodiversity data sets. Mammals are common subjects in reproductive biology, but mammalian phenology and its drivers in the wild remain poorly understood because many species are small, secretive, or too labor‐intensive to monitor. We took an informatics‐based approach to reconstructing breeding phenology in the widespread North American deer mouse (Peromyscus maniculatus) using individual‐level reproductive observations from digitized museum specimens and field censuses spanning >100 yr and >45 degrees of latitude. We reconstructed female phenology in different regions and tested the importance of three environmental variables (photoperiod, temperature, precipitation) as breeding cues. Photoperiod and temperature were strong positive and negative breeding cues, respectively, whereas precipitation was not a significant predictor of breeding phenology. However, phenologies and the use of environmental cues varied substantially among regions, and we found evidence that these cueing repertoires are tuned to ecosystem‐specific limiting conditions. Our results reiterate the importance of ecological context in optimizing reproduction and demonstrate how harmonization across biodiversity data resources allows new insight into phenology and its drivers in wild mammals.