Suppr超能文献

中华鳖水下发声的多样性()。 (括号内容原文缺失完整信息)

Diversity of Underwater Vocalizations in Chinese Soft-Shelled Turtle ().

作者信息

Zhou Lu, Lei Jinhong, Zhai Xiaofei, Lu Ningning, Shi Haitao, Wang Jichao

机构信息

Ministry of Education Key Laboratory for Ecology of Tropical Islands, Key Laboratory of Tropical Animal and Plant Ecology of Hainan Province, College of Life Sciences, Hainan Normal University, Haikou 571158, China.

出版信息

Animals (Basel). 2023 Feb 23;13(5):812. doi: 10.3390/ani13050812.

Abstract

Sound communication is important for underwater species. The wild population of the Chinese soft-shelled turtle () is listed as vulnerable. However, its vocalization, which can serve as the basis for ecological and evolutionary research, has not been studied. Here, we performed underwater recordings of 23 Chinese soft-shelled turtles of different ages and sexes and identified 720 underwater calls. The turtle calls were manually divided into 10 call types according to visual and aural inspection properties. The similarity test indicated that the manual division was reliable. We described the acoustic properties of the calls and the statistical analysis showed that the peak frequency of calls was significantly different between adult females and males, and also between subadults and adults. Similar to other aquatic turtles that prefer to live in deep water, Chinese soft-shelled turtles have a high vocal diversity and many harmonic calls, indicating that this highly aquatic species developed a variety of vocalizations to enhance their underwater communication, which helped them adapt to the complex and dim underwater environment. Furthermore, the turtles showed a tendency for vocalization to become more diverse with age.

摘要

声音交流对水生生物很重要。中华鳖的野生种群被列为易危物种。然而,其发声作为生态和进化研究的基础尚未得到研究。在此,我们对23只不同年龄和性别的中华鳖进行了水下录音,并识别出720种水下叫声。根据视觉和听觉检查特征,将鳖的叫声手动分为10种叫声类型。相似性测试表明这种手动分类是可靠的。我们描述了这些叫声的声学特性,统计分析表明,成年雌鳖和雄鳖之间以及亚成体和成年鳖之间叫声的峰值频率存在显著差异。与其他喜欢生活在深水中的水龟类似,中华鳖具有很高的发声多样性和许多谐波叫声,这表明这种高度水生的物种发展出了多种发声方式来加强它们的水下交流,这有助于它们适应复杂而昏暗的水下环境。此外,鳖表现出发声多样性随年龄增长而增加的趋势。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5068/10000088/7e6ab0786803/animals-13-00812-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验