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Population connectivity: Combining methods for estimating avian dispersal and migratory linkages.

机译:人口连通性:估计鸟类传播和迁徙联系的组合方法。

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摘要

We use a variety of methods to study population connectivity. In Chapter 1, we use stable isotope ratios in feathers to make Bayesian inferences about the migratory connectivity between breeding and wintering grounds of Henslow's sparrows. We use hydrogen and carbon stable isotope ratios (deltaH and deltaC). We compare the deltaH and deltaC of feathers from wintering sparrows to five breeding region deltaH and deltaC to estimate the probability that each individual wintering sparrow originated from each of the five regions. Breeding bird abundances are used as prior probabilities of breeding region origin. We conclude that there are no clear linkages between specific breeding regions and wintering sites.; In Chapter 2, we use three methods to estimate dispersal in Henslow's sparrows. (1) deltaH in feathers are used to determine whether an individual breeding bird has a deltaH signature characteristic of the breeding site. (2) Song structure is used as the signature of an individual's previous breeding-ground origin. (3) Genetic markers are used to evaluate population structure. Genetic structure is evaluated using three estimates. Fst estimates and private alleles are used too calculate the number of migrants per generation (Nm) between sites. Private alleles are evaluated to determine if they are truly private. A Bayesian clustering method is used to infer the number of populations. All methods revealed high rates of dispersal.; In Chapter 3, three methods for estimating dispersal are compared: deltaH in feathers, genetic population structure, and spatial autocorrelation (SAC). We compare the dispersal estimates of five migratory species.; With the SAC analysis, we find no clear evidence for dispersal as a major synchronizing agent. However, new statistical methods may allow for the parsing out the effect of dispersal. One species had historically high dispersal (limited genetic structure) but currently low dispersal (high r 2 for the deltaH correlations). Another species had a deltaH r2 value indicating low current dispersal. Three other species are all found to have high dispersal, both historically and currently. Comparing dispersal estimates may allow researchers to evaluate how dispersal rates have changed over time, as well as how well estimation methods agree.
机译:我们使用多种方法来研究人口连通性。在第1章中,我们使用羽毛中的稳定同位素比率来对Henslow麻雀的繁殖地和越冬地之间的迁徙连通性进行贝叶斯推断。我们使用氢和碳的稳定同位素比(deltaH和deltaC)。我们将越冬麻雀的羽毛的deltaH和deltaC与五个繁殖区域deltaH和deltaC进行比较,以估计每只越冬麻雀起源于五个区域中每个区域的概率。繁殖鸟的数量被用作繁殖地区起源的先验概率。我们得出结论,特定的繁殖地区和越冬地点之间没有明确的联系。在第2章中,我们使用三种方法来估计Henslow麻雀中的散布。 (1)羽毛中的deltaH用于确定单个繁殖鸟是否具有繁殖地点的deltaH签名特征。 (2)歌曲结构被用作个人以前的繁殖地起源的标志。 (3)遗传标记用于评估种群结构。遗传结构使用三个估计值进行评估。 Fst估计值和私人等位基因也用于计算站点之间的每代移民数量(Nm)。对私人等位基因进行评估,以确定它们是否真正私人。贝叶斯聚类方法用于推断种群数量。所有方法均显示出高分散率。在第3章中,比较了三种估计扩散的方法:羽毛中的deltaH,遗传种群结构和空间自相关(SAC)。我们比较了五个迁徙物种的扩散估计。通过SAC分析,我们找不到明确的证据证明分散是主要的同步剂。但是,新的统计方法可能允许解析分散的影响。一个物种历史上具有较高的分散性(有限的遗传结构),但目前具有较低的分散性(deltaH相关性较高的r 2)。另一种具有deltaH r2值,表明电流分散低。历史上和目前都发现其他三个物种具有高分散性。比较分散估计可以使研究人员评估分散率随时间的变化情况,以及估计方法的一致性。

著录项

  • 作者

    Ibarguen, Siri B.;

  • 作者单位

    The Ohio State University.;

  • 授予单位 The Ohio State University.;
  • 学科 Biology Ecology.; Biology Zoology.
  • 学位 Ph.D.
  • 年度 2004
  • 页码 160 p.
  • 总页数 160
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生态学(生物生态学);动物学;
  • 关键词

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