已入深夜,您辛苦了!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!祝你早点完成任务,早点休息,好梦!

Systematic variation in the temperature dependence of physiological and ecological traits

外温 变化(天文学) 气候变化 表型可塑性 人口
作者
Anthony I. Dell,Samraat Pawar,Van M. Savage
出处
期刊:Proceedings of the National Academy of Sciences of the United States of America [Proceedings of the National Academy of Sciences]
卷期号:108 (26): 10591-10596 被引量:571
标识
DOI:10.1073/pnas.1015178108
摘要

To understand the effects of temperature on biological systems, we compile, organize, and analyze a database of 1,072 thermal responses for microbes, plants, and animals. The unprecedented diversity of traits (n = 112), species (n = 309), body sizes (15 orders of magnitude), and habitats (all major biomes) in our database allows us to quantify novel features of the temperature response of biological traits. In particular, analysis of the rising component of within-species (intraspecific) responses reveals that 87% are fit well by the Boltzmann–Arrhenius model. The mean activation energy for these rises is 0.66 ± 0.05 eV, similar to the reported across-species (interspecific) value of 0.65 eV. However, systematic variation in the distribution of rise activation energies is evident, including previously unrecognized right skewness around a median of 0.55 eV. This skewness exists across levels of organization, taxa, trophic groups, and habitats, and it is partially explained by prey having increased trait performance at lower temperatures relative to predators, suggesting a thermal version of the life-dinner principle—stronger selection on running for your life than running for your dinner. For unimodal responses, habitat (marine, freshwater, and terrestrial) largely explains the mean temperature at which trait values are optimal but not variation around the mean. The distribution of activation energies for trait falls has a mean of 1.15 ± 0.39 eV (significantly higher than rises) and is also right-skewed. Our results highlight generalities and deviations in the thermal response of biological traits and help to provide a basis to predict better how biological systems, from cells to communities, respond to temperature change.
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
imagine发布了新的文献求助10
1秒前
斯多姆完成签到,获得积分10
1秒前
2秒前
3秒前
曙光发布了新的文献求助10
4秒前
4秒前
5秒前
5秒前
rixinsu发布了新的文献求助10
6秒前
不滞于物完成签到,获得积分20
6秒前
一丁雨发布了新的文献求助10
7秒前
砡君应助小橘子哒采纳,获得10
7秒前
8秒前
8秒前
谦让的牛排完成签到 ,获得积分10
8秒前
宝儿糯发布了新的文献求助10
9秒前
tianzuo发布了新的文献求助10
10秒前
Jie完成签到,获得积分20
10秒前
乐乐应助雪白沛春采纳,获得10
11秒前
12秒前
12秒前
13秒前
慕青应助rixinsu采纳,获得10
13秒前
13秒前
15秒前
徐涵完成签到 ,获得积分10
16秒前
Zx_1993应助zhao采纳,获得10
17秒前
17秒前
Jie发布了新的文献求助10
17秒前
锦瑟完成签到 ,获得积分10
18秒前
量子星尘发布了新的文献求助10
18秒前
k96完成签到,获得积分10
18秒前
19秒前
20秒前
glacier发布了新的文献求助10
21秒前
21秒前
菜系发布了新的文献求助10
22秒前
23秒前
王先森完成签到,获得积分10
23秒前
Lucas应助6666666666采纳,获得10
23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
The Social Work Ethics Casebook: Cases and Commentary (revised 2nd ed.).. Frederic G. Reamer 1070
The Complete Pro-Guide to the All-New Affinity Studio: The A-to-Z Master Manual: Master Vector, Pixel, & Layout Design: Advanced Techniques for Photo, Designer, and Publisher in the Unified Suite 1000
按地区划分的1,091个公共养老金档案列表 801
The International Law of the Sea (fourth edition) 800
Teacher Wellbeing: A Real Conversation for Teachers and Leaders 600
A Guide to Genetic Counseling, 3rd Edition 500
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 5407145
求助须知:如何正确求助?哪些是违规求助? 4524806
关于积分的说明 14100192
捐赠科研通 4438630
什么是DOI,文献DOI怎么找? 2436417
邀请新用户注册赠送积分活动 1428409
关于科研通互助平台的介绍 1406443