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Recording birds in real time: a convenient method for frequent bird recording

机译:实时记录鸟类:一种频繁记录鸟类的便捷方法

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摘要

To make sense of how nature is responding to an increasingly rapidly changing world, a lot of species distribution and iabundance data are needed. To infer population trends, these data ideally need to be collected in a standardised, repeatable mannerthat includes ‘absence’ data on species sought for but not found. If many people, even just professional ecologists and postgraduate students, are to record biodiversity frequently in their daily lives, a convenient method that meets these requirements is needed. A method is presented here that has been employed by the author since 2003 to frequently record a predefined subset of bird species along standard routes and locations. The approach is a hybrid of the five-minute bird count and slow-walk transect methods, designed for high frequency use while the observer is stationary and moving respectively. Predetermined subsets of bird species are recorded in 20-min intervals, often consecutively, each with one nested 5-min interval. Admixture models now allow for abundance and detection probability to be statistically separated from such simple high frequency, pseudo-replicated count data. Nearly 100 000 bird counts have been collected using this method, plus many more ‘sought but not found’ records. The value of this simple, high frequency monitoring approach is demonstrated by summarising data from one location, one weekly route, and one daily route for three widespread native forest birds. These show striking patterns of seasonality and biotopeuse in urban and rural Christchurch. Hence this approach, if widely adopted, could provide a valuable resource for bird monitoring.
机译:为了理解自然如何应对日益变化的世界,需要大量的物种分布和丰度数据。为了推断种群趋势,理想情况下,需要以标准化,可重复的方式收集这些数据,包括“寻找”但没有找到的物种的“缺失”数据。如果很多人,甚至只是专业的生态学家和研究生,要在日常生活中经常记录生物多样性,那么就需要一种满足这些要求的便捷方法。本文介绍了一种方法,该方法自2003年以来一直被作者采用,它通常沿着标准路线和位置记录鸟类的预定子集。该方法是五分钟鸟类计数和慢走样线方法的混合,专为在观察者静止和移动时分别高频率使用而设计。预定的鸟类子集以20分钟的间隔记录,通常是连续记录,每个间隔5分钟。混合模型现在允许将丰度和检测概率与此类简单的高频伪复制计数数据进行统计分离。使用这种方法已收集了近10万只鸟,另外还有更多的“未发现却发现”的记录。通过汇总来自一个位置,一条每周路线和一条每天路线的三只广泛的本地森林鸟类的数据,证明了这种简单的高频监视方法的价值。这些显示了在城市和乡村克赖斯特彻奇的季节性和生物群落的惊人模式。因此,这种方法如果被广泛采用,可以为鸟类监测提供宝贵的资源。

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