Patterns of endemism of the Chinese Larentiinae (Lepidoptera: Geometridae)

生殖器鳞翅目 生物 地方性 生态学 动物
作者
Rui Cheng,Dayong Xue,Hongxiang Han,Chao‐Dong Zhu
出处
期刊:Archives of Insect Biochemistry and Physiology [Wiley]
卷期号:111 (1) 被引量:1
标识
DOI:10.1002/arch.21891
摘要

Chinese Larentiinae is exceptionally rich in species since it spans the Palearctic realm and the Oriental realm, comprising 715 species belonging to 130 genera. Among them, nearly half species are endemic. This taxon is considered an ideal object for the study of endemic patterns. In this study, parsimony analysis of endemicity was used to delineate areas of endemisms (AOEs), and track compatibility analysis (TCA) was used to perform the TCA. Eight AOEs were supported. Except for five AOEs around the Qinghai-Tibet plateau (QTP), two AOEs from northern China and Taiwan islands were found. Twenty-two generalized tracks were obtained from the combination of the track analysis and the AOEs. The uplift of the QTP was assumed to greatly influence these endemic patterns, presented an appearance of highly centralized endemism and diversity in the eastern and southern edges of the QTP. And the AOE of Mt. Hengduan was considered as a major center of development through recent geological history, where strong evolutionary radiation might have taken place, resulting in the migration routes described by the generalized tracks from this center to various regions in various directions.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
Orange应助自觉曼岚采纳,获得10
1秒前
1秒前
Dean应助冯昊采纳,获得50
1秒前
1212完成签到,获得积分10
2秒前
阳光he完成签到,获得积分10
3秒前
3秒前
量子星尘发布了新的文献求助10
4秒前
zfm完成签到,获得积分10
4秒前
5秒前
5秒前
假装学霸完成签到 ,获得积分10
5秒前
顺利毕业发布了新的文献求助10
6秒前
迷路的之云完成签到,获得积分10
6秒前
wty发布了新的文献求助10
6秒前
冲冲完成签到,获得积分10
7秒前
7秒前
kkk发布了新的文献求助10
9秒前
Selenge发布了新的文献求助10
10秒前
欢喜大白菜真实的钥匙完成签到 ,获得积分10
10秒前
11秒前
11秒前
12秒前
12秒前
kong发布了新的文献求助10
12秒前
simoneum发布了新的文献求助30
12秒前
nn完成签到,获得积分10
12秒前
上官若男应助zfm采纳,获得10
13秒前
彭于晏应助林菲菲采纳,获得10
13秒前
14秒前
2052669099应助蔡源采纳,获得10
15秒前
hlw发布了新的文献求助10
17秒前
九号完成签到 ,获得积分10
17秒前
Crystal发布了新的文献求助10
18秒前
crowcrow发布了新的文献求助10
18秒前
janevava发布了新的文献求助30
19秒前
QL完成签到,获得积分10
19秒前
gzslwddhjx发布了新的文献求助10
20秒前
popo就是康安叽完成签到,获得积分10
22秒前
海蓝云天应助chenhuairou采纳,获得50
22秒前
SciGPT应助hlw采纳,获得10
22秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of pharmaceutical excipients, Ninth edition 5000
Aerospace Standards Index - 2026 ASIN2026 3000
Signals, Systems, and Signal Processing 610
Discrete-Time Signals and Systems 610
Principles of town planning : translating concepts to applications 500
Short-Wavelength Infrared Windows for Biomedical Applications 400
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 纳米技术 有机化学 物理 生物化学 化学工程 计算机科学 复合材料 内科学 催化作用 光电子学 物理化学 电极 冶金 遗传学 细胞生物学
热门帖子
关注 科研通微信公众号,转发送积分 6060919
求助须知:如何正确求助?哪些是违规求助? 7893249
关于积分的说明 16305086
捐赠科研通 5204876
什么是DOI,文献DOI怎么找? 2784583
邀请新用户注册赠送积分活动 1767133
关于科研通互助平台的介绍 1647351