首页> 外文期刊>Herpetological review >Photographic Identification as a Noninvasive Marking Technique for Lacertid Lizards
【24h】

Photographic Identification as a Noninvasive Marking Technique for Lacertid Lizards

机译:摄影识别作为蜥蜴蜥蜴的一种非侵入性标记技术

获取原文
获取原文并翻译 | 示例

摘要

Color and body patterns have long been used to identify individual lacertid lizards (Schmidt-Loske 1996), but may be unsuitable for long-term studies because they vary with reproductive condition, age, and other factors (Henle et al. 1997). Elbing and Rykena (1996) found that individual Lacerta viridis could be recognized by patterns of head scalation, and although these scales do not vary over time (Fox 1975), Elbing and Rykena (1996) considered this method of identifying individuals to be excessively time consuming and, in some cases, difficult to use because of the small size of the scales. Recently, Steinicke et al. (2000) found photographic identification of the scales of the first four rows of ventrals to be a suitable technique for recognizing individuals of five species of lacertids (Lacerta agilis, L. bilineata, L, viridis, L, vivipara, and Podarcis muralis). Photographic identification of individuals by means of scale patterns is an emergent technique with a promising future, but it is necessary to examine other species before it can be considered suitable for lacertids, and other lizards generally. The method also must be improved to reduce the titne required for identification, especially when many individuals are involved in the study.
机译:长期以来,颜色和体型已被用来识别个体的蜥蜴类蜥蜴(Schmidt-Loske 1996),但由于它们随生殖条件,年龄和其他因素而变化,因此可能不适合长期研究(Henle等,1997)。 Elbing和Rykena(1996)发现个体鳞癌可以通过头部鳞屑的模式识别,尽管这些鳞屑不会随时间变化(Fox 1975),但Elbing和Rykena(1996)认为这种识别个体的方法时间过长。因为秤的尺寸小,所以很费力,并且在某些情况下很难使用。最近,Steinicke等。 (2000年)发现对头四排腹腔的鳞片进行照相鉴定​​是一种合适的技术,可以识别五种Lacertids(Lacerta agilis,L。bilineata,L,viridis,L,vivipara和Podarcis muralis)的个体。通过比例尺模式对个人进行图像识别是一种有前途的新兴技术,但是有必要在认为其他物种适合于蜥蜴类和其他蜥蜴之前对其进行检查。还必须改进该方法以减少鉴定所需的十分之一,特别是当许多人参与研究时。

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