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Eigenvalue elasticity analysis of species life histories for conservation and management: Methods and applications.

机译:保护和管理物种生命历史的特征值弹性分析:方法和应用。

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Accurate assessment of extinction probability requires long-term studies to identify means, variances and co-variances of vital rates (age- or stage-specific survival, growth, and fertility). This type of information is rare, and for most threatened species there is not enough time or resources to obtain it. For declining populations that are fairly large, simpler models may help guide research and initial management plans. Elasticity analysis of deterministic matrix models predicts the proportional change in the population growth rate ({dollar}lambda{dollar}) following a proportional change in one or more vital rates in the absence of density-dependence. Species which share life history traits and elasticity patterns may respond similarly to perturbations that affect particular life stages. My work is a synthesis of published demographic data for vertebrates and matrix modeling techniques. My goals were: (1) to examine similarities in life history traits to determine what factors most affect elasticity patterns, specifically the proportional contributions of reproduction, juvenile survival and adult survival to population growth, (2) to develop a method for predicting elasticity patterns without complete age-specific survival information, and (3) to apply these methods to specific management problems and suggest how elasticity analysis can aid species conservation.; I found that age at maturity, adult survival and {dollar}lambda{dollar} determine the elasticity patterns of age-based model populations. The growth rates of populations with short generation times are highly dependent on fertility and survival rates of newborns while species with long generation times and late age at maturity showed very low fertility/age 0 elasticities. The ratio of adult:age 0 elasticity indicates the proportional increase in egg production or survival that would be required to compensate for adult harvest. Some fishes can increase fertility dramatically, while species with only a few offspring per year (e.g., sharks, whales) cannot. This may be one of the reasons why long-lived, less fecund species are easily overexploited.; Elasticity analysis may be valuable to managers who are trying to assess the relative impacts of disturbance or mitigation on declining populations. It is also a tool for comparing the life histories of different species and provides a framework for choosing model populations for viability analysis.
机译:对灭绝概率的准确评估需要长期研究,以确定生命率(年龄或阶段特定的生存,生长和生育能力)的均值,方差和协方差。这种信息很少见,对于大多数受威胁物种而言,没有足够的时间或资源来获取。对于数量减少的大量人口,较简单的模型可能有助于指导研究和初步管理计划。确定性矩阵模型的弹性分析预测,在没有密度依赖性的情况下,一个或多个生命率成比例变化之后,人口增长率({lambda {dollar})将成比例变化。具有生命史特征和弹性模式的物种可能会对影响特定生命阶段的扰动做出类似反应。我的工作是有关脊椎动物和矩阵建模技术的已发布人口统计数据的综合。我的目标是:(1)研究生活史特征的相似性,以确定哪些因素最影响弹性模式,特别是生殖,少年存活率和成年存活率对人口增长的比例贡献,(2)开发一种预测弹性规律的方法(3)将这些方法应用于具体的管理问题,并提出弹性分析如何帮助物种保护的建议;我发现,成年年龄,成年存活率和{lambda {dollar}}决定了基于年龄的模型人群的弹性模式。世代时间短的人口的增长率高度依赖于新生儿的生育力和存活率,而世代时间长和成熟年龄晚的物种的生育力/年龄0弹性很小。成年:0岁的弹性比率表示补偿成年收获所需的产蛋量或成活率成比例增加。某些鱼类可以显着提高生育能力,而每年只有几个后代的物种(例如鲨鱼,鲸鱼)则不能。这可能是寿命长,繁殖力低的物种容易被过度开发的原因之一。弹性分析对于试图评估干扰或缓解措施对人口下降的相对影响的管理人员而言可能是有价值的。它也是比较不同物种的生活史的工具,并为选择模型种群进行生存力分析提供了框架。

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