Departamento de Zoología y Antropología Física, Facultad de Biología, Universidad de Murcia, Murcia, Spain.
Departamento de Ecología e Hidrología, Facultad de Biología, Universidad de Murcia, Murcia, Spain.
Sci Rep. 2021 Jan 28;11(1):2558. doi: 10.1038/s41598-021-81605-w.
A robust knowledge of biodiversity distribution is essential for designing and developing effective conservation actions. The choice of a suitable sampling method is key to obtaining sufficiently accurate information of species distribution and consequently to improve biodiversity conservation. This study applies multi-method occupancy models to 36 common bird species associated with small ponds in the province of Murcia (south-eastern Spain), one of the most arid regions of Europe, in order to compare their effectiveness for detecting different bird species: direct observation, combined observation and video monitoring and mist netting captures. The results showed that the combined method and direct observation were similar and most effective than mist netting for detecting species occupancy, although detection rates ranged widely among bird groups, while some large species were poorly detected by all the methods used. Average detectability did not increase during the breeding period. The chosen approach is particularly applicable to both single- and multi-species bird monitoring programmes. However, we recommend evaluating the cost-effectiveness of all the available methods in order to reduce costs and improve the success of sampling designs.
对生物多样性分布有深入的了解对于设计和制定有效的保护措施至关重要。选择合适的采样方法是获取物种分布足够准确信息的关键，从而提高生物多样性保护的效果。本研究应用多方法占有率模型对与西班牙东南部穆尔西亚省（欧洲最干旱的地区之一）小池塘相关的 36 种常见鸟类进行了分析，旨在比较这些模型在检测不同鸟类物种方面的有效性：直接观察、综合观察和视频监测以及鸟网捕捉。结果表明，综合方法和直接观察方法相似，并且比鸟网捕捉更有效，可以检测到物种占有率，尽管鸟类群体之间的检测率差异很大，而一些大型物种则被所有使用的方法都检测到。平均可检测性在繁殖期并没有增加。所选择的方法特别适用于单种和多种鸟类监测计划。然而，我们建议评估所有可用方法的成本效益，以降低成本并提高采样设计的成功率。
