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Implications of forest management practices for sex-specific habitat use by Nycticeius humeralis

机译:Nycticeius Humeralis的性别特定栖息地使用森林管理实践的影响

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摘要

North American bats are experiencing declines in part due to anthropogenic impacts resulting in habitat loss and disturbance. In eastern deciduous forests, bats rely on forest resources for all or part of the year. Therefore, to promote conservation of bats, it is essential to determine whether current forest management techniques are compatible with habitat use by bats. We evaluated the relative effect of landscape characteristics, including forest management variables, on sex-specific foraging habitat of an insectivorous forest-dwelling bat species, the evening bat (Nycticeius humeralis), and predicted areas of suitable habitat for N. humeralis. A total of 18 variables were assessed using a maximum-entropy (Maxent) machine-learning approach: eight land use-land cover classes, three stand types, two topography measures, normalized difference vegetation index, and four forest management variables. Females showed the highest probability of presence closer to stands treated with prescribed fire, whereas males showed the highest probability of presence closer to reforested stands. In general, males exhibited more flexibility than females in their habitat selection. The Maxent model further indicated that habitat associated with suitability of > 70% was similar to 4 times larger for males than females, and predicted an additional area of suitable foraging habitat where no presence locations had been recorded. Our modeling approach may be suitable for other researchers to derive models appropriate for a wide range of bat species.
机译:由于人为损失和干扰,北美蝙蝠部分因人为损失而受到影响。在东部落叶林,蝙蝠依赖于全年或一年中的森林资源。因此,为了促进蝙蝠的保护,必须确定当前的森林管理技术是否与蝙蝠使用的栖息地使用。我们评估了景观特征的相对效果,包括森林管理变量,对食虫森林住宅蝙蝠种类,晚间蝙蝠(Nycticeius Humeralis)的特异性觅食栖息地,以及对N. Humeralis的合适栖息地的预测领域。使用最大熵(MAXENT)机器学习方法(MAXENT)机器学习方法总共评估女性表现出更接近规定的火灾处理的存在的最高概率,而男性则表现出更接近重新造林的展台的最高概率。一般来说,男性在其栖息地选择中表现出比女性更大的灵活性。最大模型进一步表明,与适合性> 70%相关的栖息地与男性的适合性相似,而不是雌性的4倍,并预测了没有记录存在位置的合适觅食栖息地的额外区域。我们的建模方法可能适用于其他研究人员来推导适合各种蝙蝠种类的模型。

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