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    北京园林树木秋色盛期的空间异质性及其对热环境差异的响应

    Spatial heterogeneity in leaf coloring date and the phenological response to thermal environment variations of Beijing landscape trees

    • 摘要:
      目的 城市化进程影响下,城市内部热环境的空间分布不均导致植物物候的空间异质性突出。秋色盛期作为落叶树种生长季的终点,其空间异质性对于城市植被的年周期固碳量及整个城市生态系统的初级生产力具有重要影响,同时会引起秋季季相景观的空间变化,是监测城市生态及景观动态的一个关键角度,值得深入探究。本研究以此为切入点,旨在揭示北京城市环境中秋色盛期的空间异质性特征及其对下垫面热环境的响应。
      方法 本研究以北京主城区西北城郊梯度上9处公园绿地中的5种秋色叶树种为研究对象,基于地面物候观测对2017—2019年的秋色盛期数据进行采集,基于MODIS地温反演对样地热环境数据进行采集,对秋色盛期空间差异及其与秋季热环境的相关性进行分析。
      结果 (1)北京主城区各树种的秋色盛期整体发生于10月中旬至12月上旬、集中于11月上中旬,由早到晚依次为洋白蜡、元宝枫、银杏、水杉、旱柳,且银杏雌株的秋色盛期显著早于雄株。(2)各树种秋色盛期整体上由二环—三环—五环—五环外逐渐提前,城郊物候天数差异达(10.1 ± 0.3) d;样地间物候期整体差异显著,尤其四环外样地的秋色盛期显著早于三环内。(3)各树种秋色盛期与样地秋季平均地温(LSTa)呈显著正相关(P < 0.01),表明北京主城区内秋季地表热量的大量积累会导致秋色盛期延后;各树种秋色盛期对LSTa空间差异的响应敏感度平均为(4.11 ± 0.83) d/℃,以洋白蜡和水杉响应最为敏感。
      结论 北京主城区的秋色盛期表现出对城市秋季热环境空间差异的显著响应,城市热岛效应是未来气候变化的一个缩影,城市环境中物候期对热环境空间差异的响应可反映未来气候变化对植物物候的潜在影响,即具有“空间代替时间”的研究价值。

       

      Abstract:
      Objective Under the impact of urbanization, the spatial unevenness of thermal environment within urbanized area leads to more prominent spatial heterogeneity of urban plant phenology. The spatial unevenness of leaf coloring date (LCD), the end of deciduous trees’ growing season has a far-reaching influence on the annual carbon sequestration of urban vegetation and the primary productivity of urban ecosystem, also causes spatial variation in the autumn seasonal aspect. Therefore, the spatial heterogeneity of leaf senescence is one critical cut-in point for monitoring urban ecology and landscape dynamics, and deserves profound exploration. Regarding this point, this research aimed to explore the spatial heterogeneity characteristics of leaf coloring date (LCD) and the phenological response to thermal environment of underlying surface in the highly urbanized Beijing City.
      Method This research selected five autumn-color tree species as the research objects that distributed in 9 green spaces along the urban-suburb gradient in Beijing’s northwestern urban area. We applied ground phenological observation to collect the LCD data during 2017−2019, and collected thermal environment data by retrieving MODIS land surface temperature (LST). Then, we analyzed the spatial difference of LCD and its correlation with the autumn thermal environment.
      Result (1) the LCD of various tree species in Beijing’s urban area occurred during mid-October to early December and clustered in early and mid-November, with the species order of LCD ranked as follows: Fraxinus pennsylvanica, Acer truncatum, Ginkgo biloba, Metasequoia glyptostroboides, Salix matsudana. The LCD for female ginkgo trees occurred significantly earlier than male ones. (2) The LCD of various species gradually advanced from the central urban area in 2nd Ring to the outskirts beyond 5th Ring, with the spatial range of LCD reaching (10.1 ± 0.3) d in average. A significant phenological difference existed among different sample plots and the LCD outside of 4th Ring occurred significantly earlier than that within 3rd Ring. (3) The LCD of various species showed a significantly positive correlation with the mean LST in autumn-LSTa (P < 0.01), which means the high accumulation of surface heat in autumn can drive leaf senescence to delay in Beijing’s urban area. The response sensitivity of LCD to the spatial variation of LSTa was (4.11 ± 0.83) d/℃ with F. pennsylvanica and M. glyptostroboides as the most sensitive species.
      Conclusion The leaf coloring date shows a significant response to the spatial variation of surface thermal environment in Beijing’s urban area. UHI effect represents the microcosms of long-term climate change, and the phenological response to thermal environment variation in urban area can reflect the potential impact of future climate change on plant phenology, i.e., a space-time substitution.

       

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