Environment Research Institute, Shandong University, Qingdao 266237, China.
State Key Laboratory of Eco-hydraulics in Northwest Arid Region of China, Xi'an University of Technology, Xi'an 710048, China.
Sci Total Environ. 2021 Apr 20;766:144437. doi: 10.1016/j.scitotenv.2020.144437. Epub 2020 Dec 24.
Global-change-type drought, a combination of drought and warmer temperatures, is projected to have severe effects on vegetation growth and ecosystem functions. Spring phenology is an important biological indicator to understand the response of vegetation growth to climate change. However, the differences in the response of spring phenology to global-change-type drought among various vegetation types remain unclear. Here, we extracted the start of growing season (SOS) from NDVI (Normalized Difference Vegetation Index) data using Spline-midpoint, HANTS-Maximum, and Timesat-SG methods in the North China Plain over the period 1982-2015. Then, we investigated the effects of preseason drought on SOS (based on the Standardized Precipitation Evapotranspiration Index, SPEI), and compared responses of SOS to the minimum temperature (T), maximum temperature (T), and mean temperature (T) in different biomes. Results showed a trend of advanced SOS in 81.7% of pixels in the North China Plain, with an average rate of -0.5 days/yr. Negative correlations were found between preseason SPEI and SOS in 72.1% of the study region, and the SOS of grassland showed the least resistance to drought. Interannual variations of SOS were triggered by T more than by T in the North China Plain. Multiple regression analysis exhibited that a 1 °C increase in T would advance SOS by 10.5, 7.6, 2.9, 2.1 days for wheat, other crops, forests, and grasslands, indicating warming displayed greater effects on advancing the SOS of wheat. Considering the coupled effects of preseason drought and warming on spring phenology, future warming would trigger earlier spring green-up, while drought might slow the trend. Besides, nonlinear responses of SOS to preseason SPEI and T along the humidity gradient were discovered. This research provides a new reference for the biome-specific and nonlinear responses in phenology models to promote the understanding of phenology changes, contributing to ecosystem management under future global-change-type drought.
全球变化型干旱是干旱和气温升高的组合,预计将对植被生长和生态系统功能产生严重影响。物候春季是了解植被生长对气候变化响应的重要生物学指标。然而,不同植被类型对全球变化型干旱的物候春季响应的差异尚不清楚。在这里,我们使用样条中点法、HANTS-Maximum 法和 Timesat-SG 法从 1982 年至 2015 年的归一化植被指数(NDVI)数据中提取了生长季节开始(SOS)。然后,我们研究了 preseason干旱对 SOS 的影响(基于标准化降水蒸散指数,SPEI),并比较了不同生物群落中 SOS 对最低温度(T)、最高温度(T)和平均温度(T)的响应。结果表明,华北平原 81.7%的像素出现了 SOS 提前的趋势,平均速率为-0.5 天/年。在研究区域的 72.1%中, preseason SPEI 与 SOS 呈负相关,草原的 SOS 对干旱的抵抗力最小。华北平原 SOS 的年际变化主要由 T 引发,而不是由 T 引发。多元回归分析表明,T 每升高 1°C,SOS 分别提前 10.5、7.6、2.9 和 2.1 天,对于小麦、其他作物、森林和草原,这表明变暖对提前小麦 SOS 具有更大的影响。考虑到 preseason 干旱和变暖对物候春季的耦合影响,未来变暖将引发更早的春季返青,而干旱可能会减缓这一趋势。此外,还发现了 SOS 对 preseason SPEI 和 T 的非线性响应沿湿度梯度的变化。这项研究为物候模型对生物群落特异性和非线性响应提供了新的参考,有助于在未来全球变化型干旱下进行生态系统管理。