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A comparison of mark–recapture distance-sampling methods applied to aerial surveys of eastern grey kangaroos

机译:标记捕获距离采样方法在东部灰袋鼠航拍中的比较

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摘要

Aerial surveys of kangaroos (Macropus spp.) in Queensland are used to make economically important judgements on the levels of viable commercial harvest. Previous analysis methods for aerial kangaroo surveys have used both mark–recapture methodologies and conventional distance-sampling analyses. Conventional distance sampling has the disadvantage that detection is assumed to be perfect on the transect line, while mark–recapture methods are notoriously sensitive to problems with unmodelled heterogeneity in capture probabilities. We introduce three methodologies for combining together mark–recapture and distance-sampling data, aimed at exploiting the strengths of both methodologies and overcoming the weaknesses. Of these methods, two are based on the assumption of full independence between observers in the mark–recapture component, and this appears to introduce more bias in density estimation than it resolves through allowing uncertain trackline detection. Both of these methods give lower density estimates than conventional distance sampling, indicating a clear failure of the independence assumption. The third method, termed point independence, appears to perform very well, giving credible density estimates and good properties in terms of goodness-of-fit and percentage coefficient of variation. Estimated densities of eastern grey kangaroos range from 21 to 36 individuals km–2, with estimated coefficients of variation between 11% and 14% and estimated trackline detection probabilities primarily between 0.7 and 0.9.
机译:昆士兰州对袋鼠(Macropus spp。)进行的航测被用于对可行的商业收获水平做出重要的经济判断。以前的空中袋鼠调查分析方法既使用了标记捕获方法,又使用了常规的距离采样分析方法。传统的距离采样的缺点是,假定在样带线上的检测是完美的,而标记重获方法对捕获概率未建模的异质性问题非常敏感。我们介绍了三种将标记重获和距离采样数据组合在一起的方法,旨在利用这两种方法的优点并克服其缺点。在这些方法中,有两种是基于标记重新捕获组件中观察者之间完全独立的假设,这似乎在密度估计中引入了比允许通过不确定的轨迹线检测解决的更大的偏差。与常规距离采样相比,这两种方法都给出了较低的密度估计,这表明独立性假设显然失败了。第三种方法称为点独立性,表现得很好,根据拟合优度和变异百分数系数给出了可靠的密度估计和良好的属性。东部灰袋鼠的估计密度范围为21到36个个体km-2,估计变异系数在11%和14%之间,估计线迹检测概率主要在0.7和0.9之间。

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