亲爱的研友该休息了!由于当前在线用户较少,发布求助请尽量完整地填写文献信息,科研通机器人24小时在线,伴您度过漫漫科研夜!身体可是革命的本钱,早点休息,好梦!

Mandible of the giant panda (Ailuropoda melanoleuca) compared with other Chinese carnivores: functional adaptation

大熊猫 生物 杂食动物 食肉动物 下颌骨(节肢动物口器) 动物 适应(眼睛) 豹子 生态学 异速滴定 捕食 神经科学
作者
Shanning Zhang,Ruliang Pan,Ming Li,Charles Oxnard,Fuwen Wei
出处
期刊:Biological Journal of The Linnean Society [Oxford University Press]
卷期号:92 (3): 449-456 被引量:29
标识
DOI:10.1111/j.1095-8312.2007.00876.x
摘要

The aim of this study was to understand the mandible of the giant panda in morphometric terms to explore differences between the giant panda and other carnivores distributed in China, in terms of functional adaptation. Twelve mandibular variables were studied using bivariate (allometry) and multivariate (principal components analysis, PCA, and discriminant functional analysis, DFA) tools. When deviations were produced from allometric baselines consisting of all the species studied, the giant panda displayed a much more developed mandibular structure than the bear, leopard, and tiger. This may be related to its specific dietary preference for bamboo, which has very strong fibers. Results also indicate that the mandibular structure among carnivores mainly reflects the differences in their dietary preferences and functional adaptation. Three groups were found referring to dispersal profiles expressed by the first two axes of PCA and DFA: (1) the two panda species – the herbivorous carnivores; (2) the black bear – the omnivorous carnivore; and (3) the tiger and leopard – the hypercarnivores. Nevertheless, a significant separation between the two panda species was also found with the profiles displayed by the first and third axes of DFA. In addition to no close evolutionary relationship and phylogenetic development, a noticeable separation between the two panda species found in DFA analysis may be associated with their variation in consuming different parts of the bamboo plant: the giant panda feeds on stems and the red panda feeds on leaves.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

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
jingutaimi完成签到,获得积分10
2秒前
4秒前
10秒前
小老虎完成签到,获得积分10
11秒前
16秒前
超级的路人完成签到,获得积分10
22秒前
冷傲忆彤完成签到 ,获得积分10
23秒前
cheqi完成签到 ,获得积分10
24秒前
九黎完成签到 ,获得积分10
29秒前
30秒前
酷波er应助陈志亨采纳,获得10
30秒前
跳跃猫咪完成签到 ,获得积分10
31秒前
Harrison发布了新的文献求助10
33秒前
CodeCraft应助默默冬瓜采纳,获得10
33秒前
逆天大脚发布了新的文献求助10
35秒前
万能图书馆应助酒颜采纳,获得10
35秒前
histamin完成签到,获得积分10
36秒前
39秒前
无花果应助个性的长颈鹿采纳,获得10
43秒前
45秒前
陈志亨发布了新的文献求助10
45秒前
48秒前
小洁完成签到 ,获得积分10
50秒前
50秒前
rigelfalcon完成签到,获得积分10
52秒前
123完成签到 ,获得积分10
55秒前
bless发布了新的文献求助10
55秒前
想听水星记完成签到,获得积分10
1分钟前
Ava应助Li采纳,获得10
1分钟前
1分钟前
CipherSage应助科研通管家采纳,获得10
1分钟前
ccczzz应助Uranus采纳,获得20
1分钟前
1分钟前
朱信姿发布了新的文献求助10
1分钟前
小俊完成签到,获得积分10
1分钟前
1分钟前
kangk完成签到 ,获得积分10
1分钟前
袁123发布了新的文献求助10
1分钟前
wang完成签到 ,获得积分10
1分钟前
谦让的鱼完成签到,获得积分10
1分钟前
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
List of 1,091 Public Pension Profiles by Region 1561
Binary Alloy Phase Diagrams, 2nd Edition 1400
Specialist Periodical Reports - Organometallic Chemistry Organometallic Chemistry: Volume 46 1000
Schlieren and Shadowgraph Techniques:Visualizing Phenomena in Transparent Media 600
Holistic Discourse Analysis 600
Beyond the sentence: discourse and sentential form / edited by Jessica R. Wirth 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 物理化学 基因 遗传学 催化作用 冶金 量子力学 光电子学
热门帖子
关注 科研通微信公众号,转发送积分 5515585
求助须知:如何正确求助?哪些是违规求助? 4608975
关于积分的说明 14514228
捐赠科研通 4545476
什么是DOI,文献DOI怎么找? 2490550
邀请新用户注册赠送积分活动 1472489
关于科研通互助平台的介绍 1444181