比较动物园管理决策的数据收集工具:以洪堡企鹅结合强度的行为测量为例。

Julia Galante, Susan W Margulis
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引用次数: 1

摘要

系统的数据收集在动物园中变得越来越重要,因为它有助于基于证据的决策。在这里,我们描述了一项为期两年的研究结果,研究了洪堡企鹅群体的展品使用和配对关系。我们使用了两种不同的数据收集应用程序来评估它们在评估成对结合强度方面的有效性和适用性。数据采集采用瞬时扫描抽样和全发生抽样,每周2-3次,为期2年,观察时间总计近240小时(一种系统19小时,另一种系统219小时)。企鹅之间以及两种数据收集工具之间的活动模式(特别是在水中度过的时间)有所不同。个体之间求爱相关行为的模式差异很大。配对的时间越长,它们在一起的时间就越长。我们强调了旨在收集此类系统数据的机构的两个重要考虑因素。首先,通过结合饲养细节和饲养员的见解来解释所有研究结果,以突出数据中可能不明显的解释,这一点至关重要。其次,在投入使用之前,必须探索任何数据收集系统的所有方面——系统设置、数据收集的便利性、导出数据的格式和可访问性。如果不这样做,可能会限制数据的使用和可解释性,从而否定系统数据收集的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Comparing Data Collection Tools for Zoo Management Decision-Making: A Case Study Examining Behavioral Measures of Humboldt Penguin Bond Strength.

Systematic data collection has become increasingly important in zoos as it facilitates evidence-based decision-making. Here, we describe the results of a two-year study on exhibit use and pair-bonding in a colony of Humboldt penguins. We used two different data collection apps to evaluate their effectiveness and suitability for evaluating pair-bond strength. Data were collected using instantaneous scan sampling and all-occurrence sampling 2-3 times per week for 2 years for a total of nearly 240 h of observation (19 h with one system and 219 h with the other system). The activity patterns (in particular, time spent in the water) differed amongst penguins and between the two data collection tools. Patterns of courtship-related behaviors varied tremendously across individuals. The longer pairs had been bonded, the more time they spent in close proximity. We highlight two important considerations for institutions aiming to collect such systematic data. First, it is critical to interpret all findings in context by incorporating husbandry details and keeper insights to highlight explanations that may not be readily apparent from the data. Second, one must explore all aspects of any data collection system before committing to its use-system setup, ease of data collection, format and accessibility of exported data. Not doing so may negate the value of systematic data collection by limiting the use and interpretability of the data.

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