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Sea otters (Enhydra lutris) and Steller sea lions (Eumetopias jubatus) in the North Pacific: Evaluating mortality patterns and assessing population status at multiple time scales.

机译:北太平洋的海獭(Enhydra lutris)和斯特勒海狮(Eumetopias jubatus):在多个时间尺度上评估死亡率模式并评估种群状况。

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摘要

Population status relative to food resources is a basic yet elusive metric to determine for any natural population. Age-specific mortality patterns are one indicator because of the characteristic changes that occur as a population becomes food limited. In general, density dependent (i.e. bottom-up) forces increase mortality rates, especially in the juvenile and old age classes of long-lived, K-selected species. In contrast, top-down forces can result in age-indiscriminant increases in mortality rates. Other perturbations (e.g. exposure to contaminants) can cause more complex changes to age-specific mortality rates that do not affect a population uniformly, as only individuals that utilize contaminated habitats are deleteriously affected. I developed source-sink models to test for lingering survival effects from the 1989 Exxon Valdez oil spill on the sea otter population in western Prince William Sound, Alaska. I used maximum likelihood methods to find the most likely ways survival rates have changed since the spill using age-structure and population census data bases. My results indicate that 35-40% of the western Prince William Sound sea otter population was still suffering negative effects 16 years after the Exxon Valdez oil spill. Young animals were most affected in the first few years after the spill, but by 1993 their survival rates had returned to normal. After a lag of 5-6 years, survival began to drop indicating reduced life-expectancy for the portion of the population utilizing oil contaminated habitats.;Body size and body condition are an alternative indicator of population status because they are influenced by the relative abundance and accessibility of resources in the environment via "phenotypic plasticity." Intuitively, as resources become limited, body condition declines resulting in reduced growth rates and smaller body size at maturity while the opposite occurs as the productivity of the environment increases or non-density dependent population declines reduce competition among survivors. I examined sea otter and Steller sea lion morphometric data sets for evidence of both immediate (time of sampling) and historic resource availability. To accomplish this, I fit a standard growth function to cross-sectional size data, but modified the growth function to allow detection of trends in average size at age over time. This approach demonstrated that (1) structural size trends do not track population size trends, but the structural size record can inform mechanisms behind population change (i.e. bottom-up vs. top-down), and (2) when building growth curves from cross-sectional data, decreasing trends in structural size typical of populations reaching K could easily be misinterpreted as "indeterminate growth." For sea otters, I also found a body condition index that was sensitive to environmental conditions and patterns of age- and sex-specific body condition that reflect population status at the time of sampling.;Growth curves and body condition indices gave a more complete picture of population status than either of these metrics alone, and they proved useful in illuminating the mechanism behind the Gulf of Alaska Steller sea lion population decline. Specifically, the decline was likely initiated by top-down mechanisms sometime during or before the 1950s resulting in an increasing trend in structural size during the 1960s and early 1970s. However, beginning in 1978 and into the early 1980s reduced juvenile growth rates were evidence of resource limitation affecting sea lions, likely due to regime shift or El Nino events. However, this signature appeared short lived and was evident in both the eastern Gulf of Alaska and SE Alaska (i.e. increasing population), but not in populations further west (i.e. declining population) suggesting bottom-up forces alone could not explain the population decline. I concluded that top-down forcing was likely the major contributor to the Steller sea lion population declines. However, I could not rule out bottom-up and top-down forces working synergistically through increased predation risk resulting from resource limitation and/or trait-mediated effects (i.e. predator avoidance strategies) that decreased sea lion habitat use or feeding efficiency.
机译:相对于粮食资源的人口状况是确定任何自然人口的基本但难以捉摸的指标。特定年龄段的死亡率模式是一个指标,因为随着人口变得有限的食物而发生的特征变化。通常,密度依赖性(即自下而上)的作用力会增加死亡率,特别是在长寿的,K选择物种的少年和老年类中。相比之下,自上而下的力量会导致不受年龄限制的死亡率增加。其他摄动(例如,暴露于污染物)会导致特定年龄死亡率的更复杂变化,这不会统一影响人口,因为只有利用受污染生境的个人才会受到有害影响。我开发了源汇模型,以测试1989年埃克森·瓦尔迪兹(Exxon Valdez)漏油事件对阿拉斯加西部威廉王子湾西部水獭种群的持久生存影响。我使用最大似然方法,使用年龄结构和人口普查数据库来查找自泄漏以来存活率发生变化的最可能方式。我的结果表明,在埃克森·瓦尔迪兹溢油事件发生16年后,西部威廉王子湾海獭的35-40%仍遭受负面影响。幼兽在泄漏后的头几年受到的影响最大,但是到1993年,它们的存活率恢复到正常水平。经过5-6年的滞后后,生存率开始下降,这表明使用受石油污染的栖息地的部分人口的预期寿命有所缩短。;身体大小和身体状况是人口状况的替代指标,因为它们受到相对丰度的影响通过“表型可塑性”实现环境中资源的可及性。直觉上,随着资源的限制,身体状况下降,导致成熟时增长率降低,体型变小,而随着环境生产力的提高或非密度依赖性种群的减少,幸存者之间的竞争就会相反。我检查了海獭和斯特勒海狮形态数据集,以获取即时(采样时间)和历史资源可用性的证据。为此,我将标准增长函数拟合到横截面尺寸数据,但修改了增长函数以允许检测随年龄变化的平均尺寸趋势。这种方法表明:(1)结构规模趋势无法跟踪人口规模趋势,但是结构规模记录可以为人口变化背后的机制(即自下而上与自上而下)提供依据,以及(2)从交叉建立增长曲线时截面数据显示,到达K的人口典型的结构规模减小的趋势很容易被误解为“不确定的增长”。对于海獭,我还发现了对环境条件敏感的身体状况指数以及反映采样时人口状况的特定年龄和性别的身体状况模式;生长曲线和身体状况指数给出了更完整的图景人口状况而不是单独使用这些指标中的任何一个,它们被证明有助于阐明阿拉斯加斯特勒湾海狮种群减少的背后机制。特别是,这种下降很可能是由1950年代或之前的某个时候的自上而下的机制引起的,从而导致1960年代和1970年代初期结构尺寸的增加趋势。然而,从1978年开始到1980年代初,降低的少年增长率是资源有限影响海狮的证据,这很可能是由于政权更替或厄尔尼诺事件引起的。但是,这种迹象似乎是短暂的,并且在阿拉斯加湾东部和阿拉斯加东南部(即人口增长)中都很明显,但在更西部的人口(即人口下降)中却没有,这表明仅由自下而上的力量无法解释人口下降的原因。我的结论是,自上而下的强迫可能是斯特勒海狮种群减少的主要原因。但是,我不能排除自下而上和自上而下的力量通过资源限制和/或特质介导的效应(即避免捕食者的策略)导致海狮栖息地使用或喂养效率降低而增加的捕食风险而协同工作的原因。

著录项

  • 作者

    Monson, Daniel H.;

  • 作者单位

    University of California, Santa Cruz.;

  • 授予单位 University of California, Santa Cruz.;
  • 学科 Biology Biostatistics.;Biology Ecology.;Biology Animal Physiology.
  • 学位 Ph.D.
  • 年度 2009
  • 页码 207 p.
  • 总页数 207
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物数学方法;生态学(生物生态学);生理学;
  • 关键词

  • 入库时间 2022-08-17 11:38:07

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