您好，欢迎访问北京市农林科学院 机构知识库！
北京市农林科学院机构知识库

全部

  • 全部
  • 标题
  • 学者
  • 机构
  • 关键词

Quantitative comparison of 2D and 3D monitoring dimensions in fish behavior analysis

文献类型： 外文期刊

作者： Lin, Kai 1 ; Zhang, Shiyu 3 ; Hu, Junjie 1 ; Lv, Xingdong 1 ; Li, Hongsong 4 ;

作者机构： 1.Beijing Acad Agr & Forestry Sci, Fisheries Sci Inst, Beijing, Peoples R China

2.Beijing Key Lab Fishery Biotechnol, Beijing, Peoples R China

3.Beijing Informat Sci & Technol Univ, Sch Instrument Sci & Opto Elect Engn, Beijing, Peoples R China

4.Beijing Inst Technol, Sch Comp Sci & Technol, Beijing, Peoples R China

5.Beijing Acad Agr & Forestry Sci, Fisheries Sci Inst, Beijing 100068, Peoples R China

6.Beijing Key Lab Fishery Biotechnol, Beijing 100068, Peoples R China

7.Beijing Informat Sci & Technol Univ, Sch Instrument Sci & Opto Elect Engn, Beijing 100192, Peoples R China

关键词： fish behavior; fractal dimension; monitoring dimensions; swimming distance; U-turns

期刊名称：JOURNAL OF FISH BIOLOGY （ 影响因子：2.0； 五年影响因子：1.9 ）

ISSN： 0022-1112

年卷期： 2023 年

页码：

收录情况： SCI

摘要： To improve the accuracy and efficiency of fish behavior assessment, this paper focuses on quantitatively exploring the variations and relationships between different monitoring dimensions. A systematic comparison was conducted between 3D and 2D behavioral factors using an infrared tracing system, during both day and night. Significant differences in swimming distance were observed among the different monitoring methods, as determined by two-way ANOVA and Tukey's test. A correction was applied to account for the disparities observed in 2D swimming distance, ensuring accurate measurements. These findings present a cost-effective and efficient approach for obtaining precise 3D distance data. Additionally, a kinematic factor called the "number of U-turns" was proposed to provide a more intuitive characterization of directional changes in fish swimming. Significant differences were observed between 2D and 3D data, with higher percentages of false U-turn counts and missing U-turn counts compared to correct counts in the 2D view. These findings suggest that reducing the monitoring dimension may impact the accurate estimation of swimming motion, potentially resulting in inaccurate outcomes. Finally, the statistical analyses of the non-linear properties of fractal dimension revealed significant differences among the various monitoring methods. This conclusion has practical implications for biologists and physicists, enabling them to improve the accuracy of behavioral phenotyping for organisms exhibiting 3D motion.

  • 相关文献
作者其他论文 更多>>
置顶
购物车
反馈

© 京ICP备09089781号-29 主办单位：北京市农林科学院

学术资源： 中国农业科学院 农业专业知识服务系统 农科联盟资源共建共享平台 中国农业科技文献与信息服务平台 中国农业期刊集成服务平台