Institute of Loess Plateau, Shanxi University, Taiyuan, 030006, Shanxi, China.
College of Natural Resources & Environment, Northwest A & F University, Yangling, 712100, Shaanxi, China.
Environ Monit Assess. 2019 Nov 6;191(12):721. doi: 10.1007/s10661-019-7855-8.
Though temperature over the past three decades has shown an asynchronous warming trend between daytime and nighttime, the response of vegetation activity to such non-uniform warming is still not very clear. In this study, the least squares linear trend analysis and geographic information system spatial analysis were conducted to analyze the spatiotemporal patterns of the daytime and nighttime warming based on the daily temperature data from 1982 to 2015 in Northwest China. The normalized difference vegetation index (NDVI) from Global Inventory Monitoring and Modeling System and vegetation type data were used to investigate the responses of vegetation activity to the daytime and nighttime warming using the partial correlation analysis. Our results suggested that (1) there was a very significant increasing trend in both daytime and nighttime temperatures in Northwest China from 1982 to 2015; night temperatures increased about 1.2 times faster than daytime temperatures, showing diurnal asymmetric warming; (2) the responses of vegetation activity to daytime and nighttime warming in Northwest China showed a distinct spatial pattern; the change in night temperatures had a more significant (positive in most regions) effect on vegetation; (3) various types of vegetation responded differently to asymmetric daytime and nighttime warming. Grassland NDVI, broad-leaved, and coniferous forest NDVI significantly responded to daytime warming. Shrub NDVI and desert NDVI significantly responded to night warming. These findings can deepen the understanding of the effects of the daytime and nighttime warming on vegetation activities in arid regions in the context of the current asymmetric warming.
尽管过去三十年来温度在白天和夜间呈现出不同步的变暖趋势,但植被活动对此种非均匀变暖的响应仍不十分清楚。本研究利用 1982—2015 年中国西北地区逐日气温数据,采用最小二乘线性趋势分析和地理信息系统空间分析方法,分析了该地区白天和夜间增温的时空变化格局。利用全球植被监测与模拟系统的归一化植被指数(NDVI)和植被类型数据,采用偏相关分析方法,研究了植被活动对白天和夜间增温的响应。结果表明:(1)1982—2015 年,中国西北地区白天和夜间温度均呈极显著上升趋势;夜间增温速率约为白天的 1.2 倍,呈现出昼夜不对称增温特征;(2)中国西北地区植被活动对白天和夜间增温的响应存在明显的空间分异特征,夜间温度的变化对植被的影响更为显著(多数地区为正效应);(3)不同类型的植被对不对称的白天和夜间增温的响应不同。草地 NDVI、阔叶和针叶林 NDVI 对白天增温响应显著,灌丛 NDVI 和荒漠 NDVI 对夜间增温响应显著。本研究结果加深了在当前非对称增温背景下,对干旱区白天和夜间增温对植被活动影响的认识。