Infrastructure to factorially manipulate the mean and variance of precipitation in the field-猫眼课题宝

DOI：

10.1002/ecs2.4603

发表时间：

2023-07

期刊：

Ecosphere

影响因子：

2.7

通讯作者：

中科院分区：

环境科学与生态学2区

文献类型：

作者：

Jennifer A. Rudgers;A. Luketich;Melissa Bacigalupa;Lauren E. Baur;S. Collins;Kristofer M. Hall;E. Hou;M. Litvak;Yiqi Luo;T. Miller;S. Newsome;W. Pockman;A. Richardson;A. Rinehart;Melissa Villatoro-Castañeda;Brooke E. Wainwright;S. J. Watson;Purbendra Yogi;Yu Zhou

广泛的生态研究调查了极端气候事件或平均气候变量的长期变化，但即使平均气候稳定，年与年（年际）变化也可能引起重要的生物反应。环境的随机性是气候变化的一个标志，它可以触发意想不到的生物反应，包括临界点和状态转换，连续年份之间天气的巨大差异也可以传播先前的影响，其中当前的生物反应取决于对过去扰动的反应。然而，迄今为止，大多数研究不能预测生态变化的上升，因为年际变化的研究需要经验平台，产生长时间序列。此外，气候方差增加的生态后果可能以复杂的方式取决于平均气候;因此，有效的生态预测将需要确定对气候分布的两个非平稳分量的响应：

Extensive ecological research has investigated extreme climate events or long-term changes in average climate variables, but changes in year-to-year (interannual) variability may also cause important biological responses, even if the mean climate is stable. The environmental stochasticity that is a hallmark of climate variability can trigger unexpected biological responses that include tipping points and state transitions, and large differences in weather between consecutive years can also propagate antecedent effects, in which current biological responses depend on responsiveness to past perturbations. However, most studies to date cannot predict ecological responses to rising variance because the study of interannual variance requires empirical platforms that generate long time series. Furthermore, the ecological consequences of increases in climate variance could depend on the mean climate in complex ways; therefore, effective ecological predictions will require determining responses to both nonstationary components of climate distributions: the

Infrastructure to factorially manipulate the mean and variance of precipitation in the field

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