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Nonlinear response of ecosystem respiration to multiple levels of temperature increases

机译:生态系统呼吸对多种温度升高的非线性响应

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Global warming exerts profound impacts on terrestrial carbon cycles and feedback to climates. Ecosystem respiration (ER) is one of the main components of biosphere CO 2 fluxes. However, knowledge regarding how ER responds to warming is still lacking. In this study, a manipulative experiment with five simulated temperature increases (+0℃ [Control], +2.1℃ [warming 1, W1], +2.7℃ [warming 2, W2], +3.2℃ [warming 3, W3], +3.9℃ [warming 4, W4]) was conducted to investigate ER responses to warming in an alpine meadow on the Tibetan Plateau. The results showed that ER was suppressed by warming both in dry and wet years. The responses of ER to warming all followed a nonlinear pattern. The nonlinear processes can be divided into three stages, the quick‐response stage (W1), stable stage (W1–W3), and transition stage (W4). Compared with the nonlinear model, the linear model maximally overestimated the response ratios of ER to warming 2.2% and 3.2% in 2015 and 2016, respectively, and maximally underestimated the ratio 7.0% and 2.7%. The annual differences in ER responding to warming were mainly attributed to the distinct seasonal distribution of precipitation. Specially, we found that the abrupt shift response of ER to warming under W4 treatment in 2015, which might be regulated by the excitatory effect of precipitation after long‐term drought in the mid‐growing season. This study highlights the importance of the nonlinearity of warming effects on ER, which should be taken into the global‐C‐cycling models for better predicting future carbon–climate feedbacks.
机译:全球变暖对陆地碳循环和对气候的反馈产生了深远的影响。生态系统呼吸(ER)是生物圈CO 2通量的主要组成部分之一。然而,仍然缺乏关于ER如何响应变暖的知识。在这项研究中,我们进行了五个模拟温度升高操作实验(+0℃[控制],+ 2.1℃[加温1,W1],+ 2.7℃[加温2,W2],+ 3.2℃[加温3,W3],在青藏高原高寒草地上,以+ 3.9℃[升温4,W4])进行了研究,研究了ER对变暖的响应。结果表明,在干燥和潮湿的年份,变暖都会抑制ER。 ER对变暖的响应均遵循非线性模式。非线性过程可分为三个阶段:快速响应阶段(W1),稳定阶段(W1-W3)和过渡阶段(W4)。与非线性模型相比,线性模型最大程度地高估了ER对2015年和2016年变暖的响应率,分别为2.2%和3.2%,最大程度地低估了7.0%和2.7%。 ER对变暖的年度差异主要归因于降水的明显季节性分布。特别是,我们发现2015年W4处理下ER对变暖的突然转变响应可能受生长中期中长期干旱后降水的兴奋作用调节。这项研究强调了变暖对ER的非线性的重要性,应将其纳入global-C循环模型以更好地预测未来的碳-气候反馈。

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