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Spatiotemporal Variability of Asymmetric Daytime and Night-Time Warming and Its Effects on Vegetation in the Yellow River Basin from 1982 to 2015

机译:1982-2015年黄河流域昼夜不对称增暖的时空变化及其对植被的影响

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摘要

Temperatures from 1982 to 2015 have exhibited an asymmetric warming pattern between day and night throughout the Yellow River Basin. The response to this asymmetric warming can be linked to vegetation growth as quantified by the NDVI (Normalized Difference Vegetation Index). In this study, the time series trends of the maximum temperature (Tmax) and the minimum temperature (Tmin) and their spatial patterns in the growing season (April–October) of the Yellow River Basin from 1982 to 2015 were analyzed. We evaluated how vegetation NDVI had responded to daytime and night-time warming, based on NDVI and meteorological parameters (precipitation and temperature) over the period 1982–2015. We found: (1) a persistent increase in the growing season Tmax and Tmin in 1982–2015 as confirmed by using the Mann–Kendall (M–K) non-parametric test method (p < 0.01), where the rate of increase of Tmin was 1.25 times that of Tmax, and thus the diurnal warming was asymmetric during 1982–2015; (2) the partial correlation between Tmax and NDVI was significantly positive only for cultivated plants, shrubs, and desert, which means daytime warming may increase arid and semi-arid vegetation’s growth and coverage, and cultivated plants’ growth and yield. The partial correlation between Tmin and NDVI of all vegetation types except broadleaf forest is very significant (p < 0.01) and, therefore, it has more impacts vegetation across the whole basin. This study demonstrates a methodogy for studying regional responses of vegetation to climate extremes under global climate change.
机译:1982年至2015年的温度在整个黄河流域昼夜之间表现出不对称的变暖模式。对这种非对称变暖的响应可以与植被生长相关,如NDVI(归一化植被指数)所量化。在这项研究中,分析了黄河流域1982年至2015年最高温度(Tmax)和最低温度(Tmin)的时间序列趋势及其在生长季节(4月至10月)的空间格局。我们根据1982年至2015年期间的NDVI和气象参数(降水和温度),评估了植被NDVI对白天和夜间升温的反应。我们发现:(1)通过使用Mann-Kendall(M-K)非参数检验方法(p <0.01)证实了1982-2015年生长季Tmax和Tmin的持续增加(p <0.01)。 Tmin是Tmax的1.25倍,因此在1982-2015年期间,日增暖是不对称的。 (2)Tmax和NDVI之间的部分相关性仅对栽培植物,灌木和沙漠呈显着正相关,这意味着白天变暖可能会增加干旱和半干旱植被的生长和覆盖度,以及栽培植物的生长和产量。除阔叶林外,所有植被类型的Tmin和NDVI之间的局部相关性非常显着(p <0.01),因此,它对整个盆地的植被影响更大。这项研究证明了研究全球气候变化下植被对极端气候的区域响应的方法。

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