Assessing dispersal in threatened migratory birds using stable hydrogen isotope (δD) analysis of feathers

Assessing dispersal in threatened migratory birds using stable hydrogen isotope (δD) analysis of feathers
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使用羽毛稳定氢同位素 (δD) 分析评估受威胁候鸟的扩散

DOI:
10.3354/esr00383
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发表时间:
2012
期刊:
影响因子:
--
通讯作者:
J. Welker
J. Welker
中科院分区:
--
文献类型:
--
作者:
S. L. Wilgenburg;K. Hobson;K. Brewster;J. Welker

文献摘要

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涉及濒危物种的管理决策通常是在面临重大生物不确定性的情况下做出的。将不确定性纳入决策过程,使管理人员能够进行风险/收益分析。稳定氢同位素比值(δD)为研究迁徙生物的大规模迁移提供了一种工具,并有助于管理处于危险中的迁徙物种。然而,这种分析方法是基于预测的降水量加权平均氘(δDp)值,个别年份的利益可能涉及从长期平均值的重大偏离。在北美大平原地区,当地生长季节的δDp偏离了基于GIS的δDp模型的描述,该模型是根据全球降水同位素网络(GNIP)的长期估计得出的。我们用美国降水同位素网络数据库中大平原地区的信息增强了GNIP数据集,改进了以前发表的isoscape,用于推断迁徙野生动物的起源。考虑到经度和特定地点单年降水量的变异系数,我们可以根据羽毛的δD值(δDf)确定3种草原鸣禽的δDp和长距离扩散率的年度和地点估计值。使用基于可能性的方法将个人分类为“本地”或“移民”,我们在做出这些指定时纳入了不确定性。这种方法提供了一个方便的工具,有效地沟通的研究结果,决策者,谁必须作出决定的风险水平,他们愿意承担时,确定管理战略。
Management decisions involving species at risk are typically made in the face of sub- stantial biological uncertainty. Incorporating uncertainty into decision-making allows managers to perform risk/benefit analysis. Stable hydrogen isotope ratios (δD) provide a tool for studying large- scale movements of migratory organisms and can contribute to the management of migratory spe- cies at risk. However, this analytical approach is based on predicted precipitation amount-weighted average deuterium (δDp) values, and individual years of interest can involve substantial departures from long-term averages. Local growing-season δDp at locations within the Great Plains of North America deviates from that described by GIS-based models of δDp derived from long-term estimates based on the Global Network of Isotopes in Precipitation (GNIP). We augmented the GNIP dataset with information from the US Network for Isotopes in Precipitation database for sites in the Great Plains, refining a previously published isoscape for inferring origins of migratory wildlife. Accounting for longitude and the coefficient of variation within precipitation in a single year at specific locations allowed us to determine year- and site-specific estimates of δDp and esti- mated rates of long-distance dispersal for 3 species of grassland songbirds based upon δD values of feathers (δDf). Using a likelihood-based approach to classify individuals as 'local' or 'immigrant,' we incorporated uncertainty in making these designations. This approach provides a convenient tool to effectively communicate research results to policy makers, who must make decisions at the level of risk which they are willing to assume when determining management strategies.