Plant evolutionary history mainly explains the variance in biomass responses to climate warming at a global scale

Plant evolutionary history mainly explains the variance in biomass responses to climate warming at a global scale
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植物进化史主要解释了全球范围内生物量对气候变暖反应的差异

DOI:
10.1111/nph.15695
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发表时间:
2019
期刊:
影响因子:
9.4
通讯作者:
Zhou X
Zhou X
中科院分区:
生物学1区
文献类型:
--
作者:
Shao J;Yuan T;Li Z;Li N;Liu H;Bai SH;Xia J;Lu M;Zhou X

文献摘要

相似文献

进化历史塑造了植物种间亲缘关系和种内变异,对植物功能性状和生产力有着深刻的影响。然而,物种间的系统发育相关性和种内变异如何影响植物生物量对气候变暖的响应尚不清楚。我们编制了一个包含284个物种的变暖实验数据集,以探讨系统发育、种内、实验和生态因素对植物生物量变暖效应的相对重要性,结果表明,系统发育相关度可以解释生物量对气候变暖响应的总方差的一半左右,但在科水平上与叶经济性状相关,而在种水平上与叶经济性状不相关。结果表明,在全球尺度上,植物生物量对气候变暖的响应中,内在因素(进化史)比外在因素(实验处理和环境)起着更重要的作用。这突出表明,迫切需要陆面模型,包括在预测气候变化下的生态系统功能的演变方面。
Evolutionary history shapes the interspecific relatedness and intraspecific variation, which has a profound influence on plant functional traits and productivity. However, it is far from clear how the phylogenetic relatedness among species and intraspecific variation could contribute to the observed variance in plant biomass responses to climate warming.We compiled a dataset with 284 species from warming experiments to explore the relative importance of phylogenetic, intraspecific, experimental and ecological factors to warming effects on plant biomass, using phylogenetic eigenvector regression and variance decomposition.Our results showed that phylogenetic relatedness could account for about half the total variance in biomass responses to warming, which were correlated with leaf economic traits at the family level but not at species level. The intraspecific variation contributed to approximately one‐third of the variance, whereas the experimental design and ecological characteristics only explained 7–17%.These results suggest that intrinsic factors (evolutionary history) play more important roles than extrinsic factors (experimental treatment and environment) in determining the responses of plant biomass to warming at the global scale. This highlights the urgent need for land surface models to include evolutionary aspects in predicting ecosystem functions under climate change.