Systematic variation in the temperature dependence of physiological and ecological traits

Systematic variation in the temperature dependence of physiological and ecological traits
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生理和生态特性的温度依赖性的系统变化

DOI:
10.1073/pnas.1015178108
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发表时间:
2011-06-28
影响因子:
11.1
通讯作者:
Savage, Van M.
Savage, Van M.
中科院分区:
综合性期刊1区
文献类型:
--
作者:
Dell, Anthony I.;Pawar, Samraat;Savage, Van M.

文献摘要

被引文献

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为了了解温度对生物系统的影响,我们编译,组织和分析了微生物,植物和动物的1,072个热响应数据库。在我们的数据库中,性状(n = 112),物种(n = 309),身体大小(15个数量级)和栖息地(所有主要生物群落)的前所未有的多样性使我们能够量化生物性状的温度响应的新特征。特别是,种内(种内)的反应的上升分量的分析表明,87%是适合的Boltzmann-Arrhenius模型。这些上升的平均活化能为0.66 +/- 0.05 eV,类似于报道的跨物种(种间)值0.65 eV。然而,系统的变化上升激活能的分布是显而易见的,包括以前未被认识到的右偏度周围的中位数为0.55 eV。这种偏态存在于组织、分类群、营养组和栖息地的各个层次,它部分地被解释为猎物在较低温度下相对于捕食者具有更高的性状表现,这表明了生命晚餐原则的热版本--为你的生命而奔跑的选择比为你的晚餐而奔跑的选择更强。对于单峰响应,栖息地(海洋,淡水和陆地)在很大程度上解释了平均温度,在该温度下性状值是最佳的,但平均值周围的变化。特性福尔斯的活化能分布的平均值为1.15 +/- 0.39 eV(显著高于上升),并且也是右偏的。我们的结果强调了生物特征热响应的共性和偏差,并有助于提供更好地预测从细胞到群落的生物系统如何对温度变化做出反应的基础。
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.