Differential space use inferred from live trapping versus telemetry: northern flying squirrels and fine spatial grain

Author:

Wheatley Matthew,Larsen Karl

Abstract

Small mammal space use is inferred from live-capture data or various methods of tracking, with differences between these methods potentially affecting the input and subsequent inferential abilities of resulting wildlife-habitat models. Unlike tracking via radio telemetry, live trapping employs use of bait, which is known to change proximate animal density as evident in many food addition studies (the ‘pantry effect’), and conceivably bias individuals’ space use, particularly if measured over small spatial extents in heterogeneous areas. The present study analysed both trapping and telemetry data from northern flying squirrels (Glaucomys sabrinus) to assess whether different habitat associations could be generated based on methods alone. Conditional on sampling method, two different space-use patterns were identified from the same group of squirrels and two significantly different sets of habitat model input were associated with each. Trap areas were not used post capture; once enumerated, animals on average (n = 34) spent over 80% of their time from 100 to 200+ m, upwards of 800 m, away from trap areas. Using telemetry and fine-grained habitat structure data, this study found 33% of sampled squirrels used areas not identified via habitat-stratified trap effort (specifically black spruce habitat). It is concluded that wildlife-habitat investigations dealing with fine spatial grain are likely to acquire different results using trapping versus telemetry, especially if animals are relatively mobile and habitat structure is relatively heterogeneous.

Publisher

CSIRO Publishing

Subject

Management, Monitoring, Policy and Law,Ecology, Evolution, Behavior and Systematics

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3