QUANTIFYING WING DAMAGE OF SUMMER BATS IN THE NORTHEASTERN UNITED STATES

K. Francl, Tessa K. Canniff, Bland R. CRAIG, D. Sparks, V. Brack
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Abstract

While conducting mist net surveys for the federally endangered Indiana bat (Myotis sodalis) in West Virginia, New York, and Pennsylvania, we quantified wing damage on 422 bats of four species: big brown (Eptesicus fuscus, N = 190), eastern red (Lasiurus borealis, N = 82), little brown (M. lucifugus, N = 55), and northern myotis (M. septentrionalis, N = 95) bats. From 15 May – 15 August 2010, we photographed back-lit wings to reveal damage such as scars, holes, and blotching (non-uniform pigmentation). After quantifying the percent cover of these damage types using image-analysis software, we used generalized non-linear mixed models to determine if percent area of damage differed among scores associated with the categorical wing damage index (WDI) developed by Reichard and Kunz (2009). Although quantified damage did generally increase with WDI score across all species, statistical separation by WDI was only documented for the big brown bat (blotching, scars, blotching + scars combined) and northern myotis (blotching, blotching + scars). We suggest that studies like ours can provide quantitative species-specific datasets that can be examined in a more precise manner than a categorical index.
量化美国东北部夏季蝙蝠的翅膀损伤
在西弗吉尼亚州、纽约州和宾夕法尼亚州对联邦濒危物种印第安那蝙蝠(Myotis sodalis)进行雾网调查时,对4种422只蝙蝠的翅膀损伤进行了定量分析:大褐蝠(Eptesicus fuscus, N = 190)、东红蝠(Lasiurus borealis, N = 82)、小褐蝠(M. lucifugus, N = 55)和北褐蝠(M. septentrionalis, N = 95)。从2010年5月15日到8月15日,我们拍摄了背光下的翅膀,以揭示损伤,如疤痕、洞和斑点(不均匀的色素沉着)。在使用图像分析软件量化这些损伤类型的百分比覆盖率之后,我们使用广义非线性混合模型来确定与Reichard和Kunz(2009)开发的分类机翼损伤指数(WDI)相关的分数之间的损伤面积百分比是否不同。虽然所有物种的量化损伤都随着WDI评分的增加而增加,但WDI的统计分离仅记录在大棕蝠(斑点、疤痕、斑点+疤痕组合)和北肌炎(斑点、斑点+疤痕)中。我们认为,像我们这样的研究可以提供定量的物种特定数据集,可以以比分类索引更精确的方式进行检查。
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