Chongqing Jinfo Mountain Karst Ecosystem National Observation and Research Station, School of Geographical Sciences, Southwest University, Chongqing 400715, China; Chongqing Engineering Research Center for Remote Sensing Big Data Application, School of Geographical Sciences, Southwest University, Chongqing 400715, China.
Key Laboratory of Land Surface Pattern and Simulation, Institute of Geographical Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
Sci Total Environ. 2023 Jul 15;882:163587. doi: 10.1016/j.scitotenv.2023.163587. Epub 2023 Apr 20.
The shift in vegetation phenology is an essential indicator of global climate change. Numerous researches based on reflectance-based vegetation index data have explored the changes in the start (SOS) and end (EOS) of vegetation life events at long time scales, while a huge discrepancy existed between the phenological metrics of vegetation structure and function. The peak photosynthesis timing (PPT), which is crucial in regulating terrestrial ecosystem carbon balance, has not received much attention. Using two global reconstructed solar-induced chlorophyll fluorescence data (CSIF and GOSIF) directly associated with vegetation photosynthesis, the spatio-temporal dynamics in PPT as well as the key environmental controls across the boreal ecosystem during 2001-2019 were systematically explored. Multi-year mean pattern showed that PPT mainly appeared in the first half of July. Compared to the northern Eurasia, later PPT appeared in the northern North America continent for about 4-5 days. Meanwhile, spatial trend in PPT exhibited an advanced trend during the last two decades. Especially, shrubland and grassland were obvious among all biomes. Spatial partial correlation analysis revealed that preseason temperature was the dominant environmental driver of PPT trends, occupying 81.32% and 78.04% of the total pixels of PPT and PPT, respectively. Attribution analysis by ridge regression again emphasized the largest contribution of temperature to PPT dynamics in the boreal ecosystem by 52.22% (PPT) and 46.59% (PPT), followed by radiation (PPT: 24.44%; PPT: 28.66%) and precipitation (PPT: 23.34%; PPT: 24.75%). These results have significant implications for deepening our understanding between vegetation photosynthetic phenology and carbon cycling with respect to future climate change in the boreal ecosystem.
植被物候变化是全球气候变化的一个重要指标。基于反射率植被指数数据的大量研究已经探索了长时间尺度上植被生命事件开始(SOS)和结束(EOS)的变化,而植被结构和功能的物候指标之间存在巨大差异。对陆地生态系统碳平衡具有重要调节作用的峰值光合作用时间(PPT)却没有受到太多关注。本研究利用与植被光合作用直接相关的两种全球重建的太阳诱导叶绿素荧光数据(CSIF 和 GOSIF),系统地研究了 2001-2019 年期间北方森林生态系统中 PPT 的时空动态及其关键环境控制因素。多年平均模式表明,PPT 主要出现在 7 月上半月。与北欧亚大陆相比,北北美洲大陆的 PPT 大约推迟了 4-5 天。同时,在过去的二十年中,PPT 的空间趋势表现出提前的趋势。特别是在所有生物群落中,灌木和草原表现得尤为明显。空间部分相关分析表明, preseason 温度是 PPT 趋势的主要环境驱动因素,分别占 PPT 和 PPT 总像素的 81.32%和 78.04%。岭回归归因分析再次强调了温度对北方森林生态系统 PPT 动态的最大贡献,占 52.22%(PPT)和 46.59%(PPT),其次是辐射(PPT:24.44%;PPT:28.66%)和降水(PPT:23.34%;PPT:24.75%)。这些结果对于深化我们对未来北方森林生态系统气候变化条件下植被光合作用物候与碳循环之间关系的理解具有重要意义。