Modelling population dynamics and trends in migratory birds from non-standardized multi-species ringing data: the potential of multi-model selection

Pub Date : 2021-07-03 DOI:10.1080/00063657.2022.2026876
Tina Petras, A. Vrezec
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引用次数: 2

Abstract

ABSTRACT Capsule Long-term and non-standardized migratory bird ringing data can be used in models controlling variation in bird ringing methodology for reliable population trend estimations. Aims Bird ringing data usually cover long periods and might reflect long-term population changes. However, they are mainly derived during non-standardized multi-species catching at numerous sites during the autumn migration period. We searched for the best modelling approach to determine reliable species population dynamics and trend estimation models based on annual multi-species bird ringing data. Methods We used ringing data from the Slovenian Bird Ringing Scheme and selected data in three steps according to temporal, quantitative, and qualitative data selection. Annual indices were constructed based on two types of denominators, ringing days, and ringing totals, vs. a robust model without a denominator. We ran 20 candidate-generalized additive models describing migrating population dynamics for 15 bird species by combining different data selection approaches and denominators. Results We found that the models were species-specific, although the universal model could also be applied to most species. We propose a general model construction approach for population trend assessments from non-standardized bird ringing data. The estimates obtained by this approach were comparable to the overall European population trends derived from breeding survey data. Conclusions Bird ringing data from the autumn migration period are a valuable resource for assessing continental scale population trends taking into account the whole population (non-breeders and juveniles included) and even some rare and endangered species, but should be conducted according to standard protocols to ensure reliable statistical inference of population trends.
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基于非标准化多物种鸣叫数据的候鸟种群动态和趋势建模:多模型选择的潜力
长期和非标准化的候鸟鸣铃数据可以用于控制鸟类鸣铃方法变化的模型中,以可靠地估计种群趋势。鸟类鸣叫数据通常覆盖较长时间,可能反映长期的种群变化。然而,它们主要是在秋季迁徙期间许多地点的非标准化多物种捕捞中获得的。基于每年的多种鸟类鸣铃数据,我们寻找最佳的建模方法来确定可靠的物种种群动态和趋势估计模型。方法利用斯洛文尼亚鸟类鸣铃计划的鸣铃数据,分时间、定量和定性三步选择数据。年度指数是基于两种类型的分母,振铃天数和振铃总数,而不是一个没有分母的稳健模型。通过结合不同的数据选择方法和分母,我们运行了20个候选广义加性模型,描述了15种鸟类的迁徙种群动态。结果发现,虽然通用模型也适用于大多数物种,但模型具有物种特异性。本文提出了一种基于非标准化鸟鸣数据的种群趋势评估通用模型构建方法。通过这种方法获得的估计值与从育种调查数据得出的整个欧洲种群趋势相当。结论秋季候鸟鸣叫数据是评估大陆尺度种群趋势的宝贵资源,可考虑到整个种群(包括非繁殖期和幼鸟),甚至一些珍稀濒危物种,但应按照标准程序进行,以确保种群趋势的可靠统计推断。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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