Wang Zhi Peng, Zhang Xian Zhou, He Yong Tao, Shi Pei Li, Zu Jia Xing, Niu Ben, Li Meng
Lhasa Plateau Ecological Research Station, Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
University of Chinese Academy of Sciences, Beijing 100049, China.
Ying Yong Sheng Tai Xue Bao. 2018 Jun;29(6):1822-1828. doi: 10.13287/j.1001-9332.201806.009.
Total amount, distribution pattern and occurrence time of precipitation determine the water condition of alpine vegetation growth on the Tibetan Plateau, China. Precipitation use efficiency (the ratio of aboveground productivity to precipitation, PUE) is an effective indicator for the relationship between precipitation and vegetation productivity. In this study, we calculated aboveground net primary productivity (ANPP) of an alpine steppe-meadow in northern Tibetan Plateau from 2000 to 2016 based on the correlation model between long-term monitoring biomass data and enhanced vegetation index (EVI) in Damxung. Meteorological data during the same period was also analyzed. Growing season precipitation (GSP) represented the amount of precipitation, improved precipitation concentrated index (PCI) indicated their distribution pattern in the growing season, and precipitation centroid (PC) represented the time of precipitation occurrence. Structural equation model was used to explore the effects of climatic factors on PUE and ANPP, with the consideration of growing season temperature (GST). Results showed that ANPP of this alpine steppe-meadow was mainly controlled by precipitation during the growing season. GSP and ANPP showed significantly positive correlation, whereas the correlation of GST with PUE and ANPP was not significant. PCI and PUE showed significantly positive correlation, which indicated that concentrated distribution of precipitation was beneficial to the increase of PUE. Indirect coefficient between PCI and ANPP was greater than direct coefficient, indicating that PCI influenced ANPP through PUE. Changes of precipitation concentrated time did not show significant effect on PUE and ANPP. Our results suggested that under the rapid climate warming on the Tibetan Plateau, future changes of precipitation and their concentration would have important impacts on aboveground productivity of the alpine grassland.
降水量的总量、分布格局和出现时间决定了中国青藏高原高寒植被生长的水分状况。降水利用效率(地上生产力与降水量的比值,PUE)是降水量与植被生产力关系的有效指标。在本研究中,我们基于当雄长期监测的生物量数据与增强植被指数(EVI)之间的相关模型,计算了2000年至2016年青藏高原北部高寒草原草甸的地上净初级生产力(ANPP)。同时分析了同期的气象数据。生长季降水量(GSP)代表降水量,改进的降水集中指数(PCI)表明其在生长季的分布格局,降水重心(PC)代表降水出现的时间。考虑生长季温度(GST),采用结构方程模型探讨气候因子对PUE和ANPP的影响。结果表明,该高寒草原草甸的ANPP主要受生长季降水量控制。GSP与ANPP呈显著正相关,而GST与PUE和ANPP的相关性不显著。PCI与PUE呈显著正相关,表明降水集中分布有利于PUE的提高。PCI与ANPP之间的间接系数大于直接系数,表明PCI通过PUE影响ANPP。降水集中时间的变化对PUE和ANPP没有显著影响。我们的研究结果表明,在青藏高原气候快速变暖的情况下,未来降水量及其集中度的变化将对高寒草地的地上生产力产生重要影响。