Integrating Multiple Survey Techniques to Document a Shifting Bat Community in the Wake of White-Nose Syndrome

IF 0.9 4区 环境科学与生态学 Q4 BIODIVERSITY CONSERVATION Journal of Fish and Wildlife Management Pub Date : 2021-06-22 DOI:10.3996/jfwm-20-043
D. Reynolds, K. Shoemaker, Susanna L. VON OETTINGEN, Stephen J. Najjar, J. Veilleux, Paul R. Moosman
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引用次数: 3

Abstract

The long-term study of bat communities often depends on a diverse set of sampling methodologies that are chosen based on the species or habitat management priorities of the research project. Integrating the data from a diverse set of methodologies (such as acoustic monitoring and mist net sampling) would improve our ability to characterize changes in community structure or composition over time, such as one would expect following an emergent infectious disease such as white-nose syndrome. We developed a Bayesian state-space model to integrate these disparate data into a common currency (relative abundance). We collected both acoustic monitoring and mist net capture data over an 8-y period (2006–2014) to document shifts in the bat community in central New England, USA, in response to the onset of white-nose syndrome in 2009. The integrated data model shows a significant decline in the abundance of little brown bat Myotis lucifugus, northern long-eared bat Myotis septentrionalis, and hoary bat Lasiurus cinereus, and an increase in abundance of the eastern small-footed bat Myotis leibii and the eastern red bat Lasiurus borealis. There was no evidence for a change in abundance in the big brown bat Eptesicus fuscus since the onset of white-nose syndrome. The consistency of this model with regional estimates of decline over the same time period support the validity of our relative abundance estimate. This model provides the opportunity to quantify shifts in other communities where multiple sampling methodologies were employed, and therefore provides natural resource managers with a robust tool to integrate existing sampling data to quantify changes in community composition that can inform conservation and management recommendations.
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综合多种调查技术记录白鼻综合征后蝙蝠群落的变化
蝙蝠群落的长期研究通常取决于一套不同的采样方法,这些方法是根据研究项目的物种或栖息地管理优先级选择的。整合一套不同方法(如声学监测和雾网采样)的数据将提高我们表征社区结构或组成随时间变化的能力,例如在白鼻综合征等突发传染病之后。我们开发了一个贝叶斯状态空间模型,将这些不同的数据集成到一个共同的货币中(相对丰度)。我们收集了8年(2006-2014年)的声学监测和雾网捕捉数据,以记录美国新英格兰中部蝙蝠群落因2009年白鼻综合征发作而发生的变化。综合数据模型显示,小棕蝙蝠、北方长耳蝙蝠和灰蝙蝠的丰度显著下降,而东部小脚蝙蝠和东方红蝙蝠的丰度增加。自白鼻综合征发作以来,没有证据表明棕色大蝙蝠Eptesicus fuscus的丰度发生了变化。该模型与同一时间段内下降的区域估计的一致性支持了我们相对丰度估计的有效性。该模型为量化采用多种采样方法的其他社区的变化提供了机会,因此为自然资源管理者提供了一个强大的工具,可以整合现有的采样数据,量化社区组成的变化,从而为保护和管理建议提供信息。
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来源期刊
Journal of Fish and Wildlife Management
Journal of Fish and Wildlife Management BIODIVERSITY CONSERVATION-ECOLOGY
CiteScore
1.60
自引率
0.00%
发文量
43
审稿时长
>12 weeks
期刊介绍: Journal of Fish and Wildlife Management encourages submission of original, high quality, English-language scientific papers on the practical application and integration of science to conservation and management of native North American fish, wildlife, plants and their habitats in the following categories: Articles, Notes, Surveys and Issues and Perspectives. Papers that do not relate directly to native North American fish, wildlife plants or their habitats may be considered if they highlight species that are closely related to, or conservation issues that are germane to, those in North America.
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