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首页> 外文期刊>Global change biology >Effect of precipitation variability on net primary production and soil respiration in a Chihuahuan Desert grassland.
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Effect of precipitation variability on net primary production and soil respiration in a Chihuahuan Desert grassland.

机译:奇瓦瓦沙漠草原降水变化对净初级生产力和土壤呼吸的影响。

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Precipitation regimes are predicted to become more variable with more extreme rainfall events punctuated by longer intervening dry periods. Water-limited ecosystems are likely to be highly responsive to altered precipitation regimes. The bucket model predicts that increased precipitation variability will reduce soil moisture stress and increase primary productivity and soil respiration in aridland ecosystems. To test this hypothesis, we experimentally altered the size and frequency of precipitation events during the summer monsoon (July through September) in 2007 and 2008 in a northern Chihuahuan Desert grassland in central New Mexico, USA. Treatments included (1) ambient rain, (2) ambient rain plus one 20 mm rain event each month, and (3) ambient rain plus four 5 mm rain events each month. Throughout two monsoon seasons, we measured soil temperature, soil moisture content ( theta ), soil respiration (Rs), along with leaf-level photosynthesis (Anet), predawn leaf water potential ( Psi pd), and seasonal aboveground net primary productivity (ANPP) of the dominant C4 grass, Bouteloua eriopoda. Treatment plots receiving a single large rainfall event each month maintained significantly higher seasonal soil theta which corresponded with a significant increase in Rs and ANPP of B. eriopoda when compared with plots receiving multiple small events. Because the strength of these patterns differed between years, we propose a modification of the bucket model in which both the mean and variance of soil water change as a consequence of interannual variability from 1 year to the next. Our results demonstrate that aridland ecosystems are highly sensitive to increased precipitation variability, and that more extreme precipitation events will likely have a positive impact on some aridland ecosystem processes important for the carbon cycle.
机译:随着更多的极端降雨事件被更长的中间干旱期打断,预计降水状况将变得更加可变。缺水的生态系统很可能对降水制度的变化做出高度反应。桶模型预测,增加降水的变异性将减少干旱地区生态系统中的土壤水分压力并增加初级生产力和土壤呼吸。为了检验这一假设,我们通过实验改变了2007年和2008年夏季风(7月至9月)期间美国新墨西哥州中部北部奇瓦瓦沙漠草原的降水事件的大小和频率。处理包括(1)环境降雨,(2)环境降雨,每月加一次20毫米降雨事件,以及(3)环境降雨,每月加4次5毫米降雨事件。在两个季风季节中,我们测量了土壤温度,土壤水分含量(theta),土壤呼吸作用( R s )以及叶片水平的光合作用( A < / i> net ),占优势的C 4 的黎明前叶水势(Psi pd )和季节性地上净初级生产力(ANPP)草, Bouteloua eriopoda 。每月接受一次大降雨事件的处理区保持着明显更高的季节性土壤θ,这与 R s 和 B的ANPP显着增加相对应。与收到多个小事件的地块相比。由于这些模式的强度在不同年份之间存在差异,因此我们建议对存储桶模型进行修改,在该模型中,土壤水的均值和方差均会因一年至次年的年际变化而发生变化。我们的结果表明,干旱地区的生态系统对增加的降水变化高度敏感,而且极端的降水事件可能会对某些对碳循环很重要的干旱地区的生态系统过程产生积极影响。

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