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Is harvest size a valid indirect measure of abundance for evaluating the population size of game animals using harvest-based estimation?

机译:收获大小是利用基于收获的估算评估游戏动物的人口大小的有效间接测量吗?

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Indirect measures of abundance are essential for evaluating temporal and spatial trends in animal populations under hunting pressure and hence for evaluating the impact of hunting on the population stock. Recently, harvest-based estimation has received attention due to its capacity to estimate population size, hunting mortality and population growth parameters based on the responses of indirect measures to hunting pressure. Although harvest size is a widely used statistic for game animals and its validity as an indirect measure of abundance has been intensively investigated, its applicability to harvest-based estimation has rarely been studied. In this study, we applied a simulation approach to examine the accuracy of harvest-based estimation when harvest size is used as an indirect measure under different temporal patterns of capture effort (constant, increasing and decreasing). We simulated a dataset using a Poisson-binomial surplus-production model that explicitly considers the effect of capture effort on harvest size and tested the estimation accuracy and model identifiability (i.e. whether there is sufficient statistical information in a dataset to specify model parameters) when harvest size is used as an indirect measure. We then compared the estimates with those of the original Poisson-binomial surplus-production model. We found that estimates of the population size and intrinsic growth rate were severely biased when the temporal heterogeneity in capture effort was large. When capture effort was constant and harvest size was thus proportional to the population size, on average, only 10% of iterations were identifiable. The use of harvest size as a population index in harvest-based estimation can result in seriously biased estimates of population size and growth rate or low identifiability of parameters. Our results highlight the importance of monitoring capture effort and unbiased population indices, in addition to harvest sizes, to evaluate the population status of game animals by harvest-based estimation.
机译:间接丰富度量对于评估狩猎压力下的动物群体的时间和空间趋势至关重要,从而评估狩猎对人口库存的影响。最近,由于其基于间接措施对狩猎压力的响应,收获的基于收获的估计因其估计人口规模,狩猎死亡率和人口增长参数而受到关注。虽然收获大小是游戏动物的广泛使用统计数据,但其作为广泛的丰富度量的有效性已经深入调查,其对基于收获的估计的适用性很少已经研究过。在这项研究中,我们应用了一种模拟方法来检查基于收获估计的准确性,当采收大小用作不同时间模式的间接测量时(恒定,增加和减少)。我们使用泊松 - 二项式剩余生产模型模拟了一个数据集,该模型明确考虑了捕获努力对收获大小的影响,并测试了估计准确性和模型可识别性(即数据集中是否有足够的统计信息以指定模型参数)大小用作间接测量。然后,我们将估计与原始泊松 - 二项式剩余生产模型进行比较。我们发现,当捕获努力的时间异质性大时,人口规模和内在生长速率严重偏向。当捕获努力是恒定的并且收获大小与人口大小成比例,平均只有10%的迭代是可识别的。收获尺寸作为基于收获估计的人口指数的使用可能导致人口大小和增长率的严重偏置估计或参数的低可识别性。我们的结果突出了监测捕获努力和无偏见的人口指数的重要性,除了收获尺寸,通过基于收获的估计来评估游戏动物的人口状况。

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