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Life‐history constraints on maximum population growth for loggerhead turtles in the northwest Atlantic

机译:西北大西洋伐木海龟最大种群增长的生命历史限制

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Conservation planning for protected species often relies on estimates of life‐history parameters. A commonly used parameter is the instantaneous maximum population growth rate ( r max ) that can be used to limit removals and design recovery targets. Estimation of r max can be challenging because of limited availability of species‐ and population‐specific data and life‐history information. We applied a method proposed by Neil and Lebreton, originally developed for birds, to loggerhead turtles. The method uses age‐at‐first‐reproduction and adult survival to estimate r max . We used a variety of datasets and matrix population models to confirm an allometric assumption required by the method, and to generate estimates of age‐at‐first‐reproduction and adult survival. A meta‐analysis was applied to parameters from reported growth curves, which were then combined with the size distribution of neophyte nesters to derive estimates of age‐at‐first‐reproduction. Adult survival rates were obtained from an existing matrix population model. Monte Carlo simulation was then used to combine the estimates of the allometric coefficients, age‐at‐first‐reproduction, and adult survival to obtain a probability distribution of approximate r max values. Estimated annual maximum population growth rates averaged 0.024, with a mode of 0.017 and a 95% highest density interval of 0.006–0.047. These estimates were similar to values reported by others using different methods and captured the variability in positive, annual change estimates across nesting beach sites for the northwest Atlantic loggerhead population. The use of life‐history parameters has a long history in wildlife and fisheries management and conservation planning. Our estimates of r max , while having some biases and uncertainty, encompassed values presently used in recovery planning for loggerhead turtles and offer additional information for the management of endangered and threatened species.
机译:保护物种的保护规划通常依赖于生命历史参数的估计。常用的参数是可用于限制去除和设计恢复目标的瞬时最大种群增长率(R MAX)。由于物种和人口特定数据和寿命信息的可用性有限,R Max的估计可能是具有挑战性的。我们应用了Neil和Lebreton提出的方法,最初为鸟类开发,对Loggerhead Turtles。该方法使用年龄一次性繁殖和成人生存来估计r max。我们使用了各种数据集和矩阵群体模型来确认该方法所需的各种假设,并产生急转繁殖和成人生存的估计。从报告的生长曲线施加了Meta分析,然后将其与Neophyte嵌套嵌套的尺寸分布组合,以推导出在第一繁殖年龄繁殖的估计。成人存活率是从现有的基质人口模型获得的。然后用于将蒙特卡罗模拟结合了同种异数系数,Age-At-over-繁殖和成人生存的估计,以获得近似R最大值的概率分布。估计年度最大人口增长率平均为0.024,以0.017的模式和95%的最高密度间隔为0.006-0.047。这些估计与其他人使用不同方法报告的价值观类似,并捕获了嵌套海滩地点的正面变化估计的变化,为西北大西洋令人令人的伐木人口。野生动物和渔业管理和保护计划的使用历史悠久。我们对R MAX的估计,同时具有一些偏见和不确定性,包含目前用于Loggerhead Turtles的恢复计划的值,并为濒危和受威胁物种提供额外信息。

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