首页> 外文期刊>International Journal of Forestry Research >Forest Succession and Maternity Day Roost Selection byMyotis septentrionalisin a Mesophytic Hardwood Forest
【24h】

Forest Succession and Maternity Day Roost Selection byMyotis septentrionalisin a Mesophytic Hardwood Forest

机译:中生阔叶林中褐姬鼠的森林演替和产假栖息地选择。

获取原文
       

摘要

Conservation of summer maternity roosts is considered critical for bat management in North America, yet many aspects of the physical and environmental factors that drive roost selection are poorly understood. We tracked 58 female northern bats (Myotis septentrionalis) to 105 roost trees of 21 species on the Fort Knox military reservation in north-central Kentucky during the summer of 2011. Sassafras (Sassafras albidum) was used as a day roost more than expected based on forest stand-level availability and accounted for 48.6% of all observed day roosts. Using logistic regression and an information theoretic approach, we were unable to reliably differentiate between sassafras and other roost species or between day roosts used during different maternity periods using models representative of individual tree metrics, site metrics, topographic location, or combinations of these factors. For northern bats, we suggest that day-roost selection is not a function of differences between individual tree speciesper se, but rather of forest successional patterns, stand and tree structure. Present successional trajectories may not provide this particular selected structure again without management intervention, thereby suggesting that resource managers take a relatively long retrospective view to manage current and future forest conditions for bats.
机译:在北美,夏季产妇栖息地的养护被认为对蝙蝠的管理至关重要,然而,导致栖息地选择的许多物理和环境因素却鲜为人知。在2011年夏季,我们在肯塔基州中北部的诺克斯堡军事保留地上追踪了58只雌性北蝙蝠(Myotis septentrionalis)到21种树种的105棵栖息地树上。森林的林分水平,占所有观测日间栖木的48.6%。使用逻辑回归和信息理论方法,我们无法使用代表个别树木指标,地点指标,地形位置或这些因素组合的模型可靠地区分树和其他栖息物种或不同生育期间使用的白天栖息地。对于北方蝙蝠,我们建议,日间栖息地的选择不是个体树种本身差异的函数,而是森林演替模式,林分和树木结构的函数。当前的连续轨迹可能在没有管理干预的情况下无法再次提供这种特定的选定结构,从而表明资源管理者采用相对较长的回顾性观点来管理蝙蝠的当前和未来森林状况。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号