Combining stable-isotope (δD) and band recovery data to improve probabilistic assignment of migratory birds to origin

Combining stable-isotope (δD) and band recovery data to improve probabilistic assignment of migratory birds to origin
复制标题

DOI:
10.1890/09-2047.1
复制
发表时间:
2011-06-01
影响因子:
5
通讯作者:
Hobson, Keith A.
Hobson, Keith A.
中科院分区:
环境科学与生态学1区
文献类型:
--
作者:
Van Wilgenburg, Steven L.;Hobson, Keith A.

文献摘要

被引文献

相似文献

最近稳定同位素分析的应用,特别是使用稳定氢同位素(δ D)测量动物组织,大大提高了我们推断迁徙动物地理起源的能力。然而,许多个别来源的错误有助于分配的整体错误,因此基于可能性的分配,包括估计的错误,现在的青睐。此外,在全球范围内,基于降水的三角洲D等值线的性质是这样的,纵向分辨率往往是妥协。例如,在北美,加拿大西南部的北方森林与北方魁北克/拉布拉多和阿拉斯加地区之间的加权平均预期生长季降水量三角洲D是相似的。因此,往往很难使用单一的同位素测量客观地区分这些地区作为广泛分布的移民的潜在来源。我们开发了一个贝叶斯框架分配的地理起源的候鸟结合稳定同位素分析的羽毛和模型的迁移方向估计带恢复数据的基础上。我们概述了我们的方法,并显示了一个例子,它的应用程序分配的移民白喉麻雀(Zonotrichia albicollis)在加拿大移民监测网络站三角洲沼泽,马尼托巴,加拿大采样的人口来源。我们表明,基于可能性的分配的地理起源,可以提供更好的空间分辨率时,迁移方向的模型相结合的基础上三角洲D分析的羽毛分配。
The recent application of stable-isotope analyses, particularly the use of stable-hydrogen-isotope (delta D) measurements of animal tissues, has greatly improved our ability to infer geographic origins of migratory animals. However, many individual sources of error contribute to the overall error in assignment; thus likelihood-based assignments incorporating estimates of error are now favored. In addition, globally, the nature of the underlying precipitation-based delta D isoscapes is such that longitudinal resolution is often compromised. For example, in North America, amount-weighted expected mean growing-season precipitation delta D is similar between the boreal forest of southwestern Canada and areas of northern Quebec/Labrador and Alaska. Thus, it can often be difficult to distinguish objectively between these areas as potential origins for broadly distributed migrants using a single isotopic measurement. We developed a Bayesian framework for assigning geographic origins to migrant birds based on combined stable-isotope analysis of feathers and models of migratory directions estimated from band recovery data. We outline our method and show an example of its application for assigning origins to a population of migrant White-throated Sparrows (Zonotrichia albicollis) sampled at a Canadian Migration Monitoring Network station at Delta Marsh, Manitoba, Canada. We show that likelihood-based assignments of geographic origins can provide improved spatial resolution when models of migration direction are combined with assignments based on delta D analysis of feathers.