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前期的湿度和温度条件调节着生态系统呼吸对二氧化碳浓度升高和气候变暖的响应。

Antecedent moisture and temperature conditions modulate the response of ecosystem respiration to elevated CO and warming.

作者信息

Ryan Edmund M, Ogle Kiona, Zelikova Tamara J, LeCain Dan R, Williams David G, Morgan Jack A, Pendall Elise

机构信息

School of Life Sciences, Arizona State University, Tempe, AZ, USA.

Department of Botany, University of Wyoming, Laramie, WY, USA.

出版信息

Glob Chang Biol. 2015 Jul;21(7):2588-2602. doi: 10.1111/gcb.12910. Epub 2015 Apr 30.

DOI:10.1111/gcb.12910
PMID:25711935
Abstract

Terrestrial plant and soil respiration, or ecosystem respiration (R ), represents a major CO flux in the global carbon cycle. However, there is disagreement in how R will respond to future global changes, such as elevated atmosphere CO and warming. To address this, we synthesized six years (2007-2012) of R data from the Prairie Heating And CO Enrichment (PHACE) experiment. We applied a semi-mechanistic temperature-response model to simultaneously evaluate the response of R to three treatment factors (elevated CO , warming, and soil water manipulation) and their interactions with antecedent soil conditions [e.g., past soil water content (SWC) and temperature (SoilT)] and aboveground factors (e.g., vapor pressure deficit, photosynthetically active radiation, vegetation greenness). The model fits the observed R well (R = 0.77). We applied the model to estimate annual (March-October) R , which was stimulated under elevated CO in most years, likely due to the indirect effect of elevated CO on SWC. When aggregated from 2007 to 2012, total six-year R was stimulated by elevated CO singly (24%) or in combination with warming (28%). Warming had little effect on annual R under ambient CO , but stimulated it under elevated CO (32% across all years) when precipitation was high (e.g., 44% in 2009, a 'wet' year). Treatment-level differences in R can be partly attributed to the effects of antecedent SoilT and vegetation greenness on the apparent temperature sensitivity of R and to the effects of antecedent and current SWC and vegetation activity (greenness modulated by VPD) on R base rates. Thus, this study indicates that the incorporation of both antecedent environmental conditions and aboveground vegetation activity are critical to predicting R at multiple timescales (subdaily to annual) and under a future climate of elevated CO and warming.

摘要

陆地植物和土壤呼吸,即生态系统呼吸(R),是全球碳循环中的主要二氧化碳通量。然而,对于R将如何响应未来的全球变化,如大气中二氧化碳浓度升高和气候变暖,存在不同观点。为了解决这个问题,我们综合了草原加热与二氧化碳富集(PHACE)实验六年(2007 - 2012年)的R数据。我们应用了一个半机理温度响应模型,同时评估R对三个处理因素(二氧化碳浓度升高、气候变暖以及土壤水分调控)的响应,以及它们与先前土壤条件[如过去的土壤含水量(SWC)和温度(SoilT)]和地上因素(如蒸气压亏缺、光合有效辐射、植被绿度)之间的相互作用。该模型对观测到的R拟合良好(R = 0.77)。我们应用该模型估算年度(3月至10月)R,在大多数年份,二氧化碳浓度升高会刺激R,这可能是由于二氧化碳浓度升高对SWC的间接影响。当汇总2007年至2012年的数据时,六年的总R单独受二氧化碳浓度升高刺激(24%),或与气候变暖共同作用时受到刺激(28%)。在环境二氧化碳浓度条件下,气候变暖对年度R影响不大,但在二氧化碳浓度升高且降水量较高时(例如2009年这个“湿润”年份为44%),气候变暖会刺激年度R(所有年份平均为32%)。R在处理水平上的差异部分可归因于先前SoilT和植被绿度对R表观温度敏感性的影响,以及先前和当前SWC以及植被活动(由VPD调节的绿度)对R基础速率的影响。因此,本研究表明,纳入先前环境条件和地上植被活动对于在多个时间尺度(从亚日到年度)以及未来二氧化碳浓度升高和气候变暖的气候条件下预测R至关重要。

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