Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail
Combining citizen science species distribution models and stable isotopes reveals migratory connectivity in the secretive Virginia rail
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DOI：
10.1111/1365-2664.12723
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发表时间：
2017-04-01
影响因子：
5.7
通讯作者：
King, Sammy L.
中科院分区：
文献类型：
--
作者：
Fournier, Auriel M. V.;Sullivan, Alexis R.;King, Sammy L.
1. 用于追踪动物运动的稳定氢同位素 (delta D) 方法被广泛使用，但经常产生低分辨率的任务。结合对丰度、分布或运动模式的先验知识可以改善这一限制，但大多数物种都缺乏数据。我们展示了如何使用公民科学家报告的观察结果来对物种分布进行可靠的估计并限制 dD 分配。2。我们开发了一个贝叶斯框架，以根据公民科学家观察构建的物种分布模型来完善对迁徙动物起源的同位素估计。为了说明这种方法，我们分析了弗吉尼亚铁路Rallus limicola 的迁徙连通性，这是北美一种神秘且数量正在下降的候鸟。3。公民科学观察既可以估计抽样偏差，也可以构建偏差校正的物种分布模型。对这些物种分布模型进行 dD 分配产生了相对高分辨率的分配。4．大多数在墨西哥湾沿岸五个地点越冬的弗吉尼亚铁路在去年夏天都在五大湖附近度过，尽管有相当一部分铁路来自切萨皮克湾流域或北达科他州的草原坑洞地区。相反，大多数从五大湖地区迁移的弗吉尼亚铁路很可能在德克萨斯州和路易斯安那州之间的墨西哥湾沿岸度过了前一个冬天5。合成与应用。在本次分析中，弗吉尼亚铁路候鸟的连通性并不完全符合用于管理候鸟的行政飞行路线。这个例子表明，随着创建物种分布模型的公民科学数据的可用性不断增加，我们的框架可以对许多动物（包括神秘物种）的迁徙连通性进行高分辨率估计。季节性栖息地之间联系的经验证据将有助于实现有效的栖息地管理、狩猎配额和种群监测，并突显关键的知识差距。
1. Stable hydrogen isotope (delta D) methods for tracking animal movement are widely used yet often produce low resolution assignments. Incorporating prior knowledge of abundance, distribution or movement patterns can ameliorate this limitation, but data are lacking for most species. We demonstrate how observations reported by citizen scientists can be used to develop robust estimates of species distributions and to constrain dD assignments.2. We developed a Bayesian framework to refine isotopic estimates of migrant animal origins conditional on species distribution models constructed from citizen scientist observations. To illustrate this approach, we analysed the migratory connectivity of the Virginia rail Rallus limicola, a secretive and declining migratory game bird in North America.3. Citizen science observations enabled both estimation of sampling bias and construction of bias-corrected species distribution models. Conditioning dD assignments on these species distribution models yielded comparably high-resolution assignments.4. Most Virginia rails wintering across five Gulf Coast sites spent the previous summer near the Great Lakes, although a considerable minority originated from the Chesapeake Bay watershed or Prairie Pothole region of North Dakota. Conversely, the majority of migrating Virginia rails from a site in the Great Lakes most likely spent the previous winter on the Gulf Coast between Texas and Louisiana.5. Synthesis and applications. In this analysis, Virginia rail migratory connectivity does not fully correspond to the administrative flyways used to manage migratory birds. This example demonstrates that with the increasing availability of citizen science data to create species distribution models, our framework can produce high-resolution estimates of migratory connectivity for many animals, including cryptic species. Empirical evidence of links between seasonal habitats will help enable effective habitat management, hunting quotas and population monitoring and also highlight critical knowledge gaps.