Biophysical effects on the interannual variation in carbon dioxide exchange of an alpine meadow on the Tibetan Plateau

Biophysical effects on the interannual variation in carbon dioxide exchange of an alpine meadow on the Tibetan Plateau
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青藏高原高寒草甸二氧化碳交换年际变化的生物物理效应

DOI:
10.5194/acp-17-5119-2017
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发表时间:
2016-12
期刊:
Atmospheric Chemistry and Physics Discussions
影响因子:
--
通讯作者:
Yaping Shao
Yaping Shao
中科院分区:
其他
文献类型:
--
作者:
Lei Wang;Huizhi Liu;Jihua Sun;Yaping Shao

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抽象的。利用2012-2015年的涡度协方差观测资料,研究了青藏高原东南缘高寒草甸二氧化碳交换的年际变化及其控制。2012年至2015年4年间的年净生态系统交换量(NEE)分别为−114.2、−158.5、−159.9和−212.6 g C m−2 yr−1,且总体上随年平均气温(MAT)的升高而降低。2014年出现了一个例外,它的垫子最高。这归因于2014年较高的生态系统呼吸(RE)和类似的总初级生产力(GPP),因为GPP随着垫子的增加而增加,但由于光合作用能力的限制而变得饱和。在2012年春季(3月至5月),低气温(Ta)和干旱事件推迟了牧草的萌发,降低了GPP。在2012年和2013年的雨季后期(9月至10月),9月份的低Ta及其对植被生长的负面影响导致草地早衰,GPP显著降低。这表明Ta的季节变化对年总GPP有很大的影响,这与用坡度均匀度(HOS)模型得到的结果是一致的。模型结果表明,气候季节变化对全球生产总值变率的贡献率为48.6 %,气候年际变化和生态系统功能变化的贡献率分别为9.7%和10.6 %。
Abstract. Eddy covariance measurements from 2012 to 2015 were used to investigate the interannual variation in carbon dioxide exchange and its control over an alpine meadow on the south-east margin of the Tibetan Plateau. The annual net ecosystem exchange (NEE) in the 4 years from 2012 to 2015 was −114.2, −158.5, −159.9 and −212.6 g C m−2 yr−1, and generally decreased with the mean annual air temperature (MAT). An exception occurred in 2014, which had the highest MAT. This was attributed to higher ecosystem respiration (RE) and similar gross primary production (GPP) in 2014 because the GPP increased with the MAT, but became saturated due to the limit in photosynthetic capacity. In the spring (March to May) of 2012, low air temperature (Ta) and drought events delayed grass germination and reduced GPP. In the late wet season (September to October) of 2012 and 2013, the low Ta in September and its negative effects on vegetation growth caused earlier grass senescence and significantly lower GPP. This indicates that the seasonal pattern of Ta has a substantial effect on the annual total GPP, which is consistent with results obtained using the homogeneity-of-slopes (HOS) model. The model results showed that the climatic seasonal variation explained 48.6 % of the GPP variability, while the percentages explained by climatic interannual variation and the ecosystem functional change were 9.7 and 10.6 %, respectively.
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