A funnel trap for capture of small arboreal reptiles

Author:

Hardy Giles1,Fleming Patricia2,Craig Michael3,Davis Christine4,Grigg Andrew5

Affiliation:

1. 1School of Biological Sciences and Biotechnology, Murdoch University, Murdoch WA 6150, Australia

2. 2School of Veterinary and Biomedical Sciences, Murdoch University, Murdoch WA 6150, Australia

3. 3School of Biological Sciences and Biotechnology, Murdoch University, Murdoch WA 6150, Australia

4. 4School of Biological Sciences and Biotechnology, Murdoch University, Murdoch WA 6150, Australia

5. 5Alcoa World Alumina Australia, Pinjarra, WA 6208, Australia

Abstract

AbstractSmall arboreal reptiles can be difficult to capture, except in traps, and the physical trap characteristics, drift-fence and bait are critical factors that can influence the efficacy of any trap. We conducted experiments on marbled geckoes (Christinus marmoratus, Gekkonidae) and wall skinks (Cryptoblepharus plagiocephalus, Scincidae) that examined bait preferences, attractiveness of different visual and acoustic cues and efficacy of different drift-fence materials to develop a trap for small arboreal reptiles. The experiments showed that both marbled geckos and wall skinks preferred crickets as bait, that wall skinks avoided darkness/cover and that both species had difficulty climbing flashing material covered in oil. This led us to develop an arboreal trap that was made from transparent material, used crickets as bait and had drift-fences constructed from flashing material. When used in the field, the final trap design was effective in capturing arboreal reptiles.

Publisher

Brill

Subject

Animal Science and Zoology,Ecology, Evolution, Behavior and Systematics

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