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Contingent productivity responses to more extreme rainfall regimes across a grassland biome

机译:草地生物群落对更极端降雨状况的偶然生产力响应

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摘要

Climate models predict, and empirical evidence confirms, that more extreme precipitation regimes are occurring in tandem with warmer atmospheric temperatures. These more extreme rainfall patterns are characterized by increased event size separated by longer within season drought periods and represent novel climatic conditions whose consequences for different ecosystem types are largely unknown. Here, we present results from an experiment in which more extreme rainfall patterns were imposed in three native grassland sites in the Central Plains Region of North America, USA. Along this 600 km precipitation-productivity gradient, there was strong sensitivity of temperate grasslands to more extreme growing season rainfall regimes, with responses of aboveground net primary productivity (ANPP) contingent on mean soil water levels for different grassland types. At the mesic end of the gradient (tallgrass prairie), longer dry intervals between events led to extended periods of below-average soil water content, increased plant water stress and reduced ANPP by 18%. The opposite response occurred at the dry end (semiarid steppe), where a shift to fewer, but larger, events increased periods of above-average soil water content, reduced seasonal plant water stress and resulted in a 30% increase in ANPP. At an intermediate mixed grass prairie site with high plant species richness, ANPP was most sensitive to more extreme rainfall regimes (70% increase). These results highlight the inherent complexity in predicting how terrestrial ecosystems will respond to forecast novel climate conditions as well as the difficulties in extending inferences from single site experiments across biomes. Even with no change in annual precipitation amount, ANPP responses in a relatively uniform physiographic region differed in both magnitude and direction in response to within season changes in rainfall event size/frequency.
机译:气候模型预测并有经验证据证实,随着气温升高,越来越多的极端降水发生。这些更极端的降雨模式的特征是,事件规模增加,季节干旱期间间隔更长的时间,代表了新的气候条件,其对不同生态系统类型的后果基本上未知。在这里,我们介绍了一项实验的结果,在该实验中,对美国北美洲中部平原地区的三个原生草地地点施加了更多的极端降雨模式。沿着这个600 km的降水生产力梯度,温带草原对更极端的生长季节降雨状况具有强烈的敏感性,地上净初级生产力(ANPP)的响应取决于不同草地类型的平均土壤水位。在梯度的中端(高草草原),事件之间较长的干旱间隔导致土壤水含量低于平均水平的时间延长,植物水分胁迫增加,ANPP降低了18%。相反的反应发生在干旱端(半干旱草原),在干旱端转移到更少但更大的事件,增加了土壤水含量高于平均水平的时期,减轻了植物的季节性水分胁迫,导致ANPP增加了30%。在植物物种丰富度较高的中间混合草草原地区,ANPP对更极端的降雨状况最为敏感(增加70%)。这些结果凸显了预测陆地生态系统将如何响应新的预测气候条件所固有的复杂性,以及难以将跨生物群落的单点实验推论推论的难度。即使年降水量没有变化,响应于降雨事件大小/频率的季节内变化,在相对统一的生理区域中的ANPP响应在大小和方向上也有所不同。

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