全球二氧化碳增加和气候变暖削弱了中国中部太白山林线地区树木生长与氮素供应之间的关系

Lelong Yin, Xiaohong Liu, Xiaomin Zeng, Ziyi Wang, Guobao Xu, Liangju Zhao, Qiangqiang Lu, Lingnan Zhang, Xiaoyu Xing
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引用次数: 0

摘要

气候变暖、大气二氧化碳浓度(Ca)和氮(N)供应量的上升对全球森林生态系统,尤其是高海拔山区的森林生态系统产生了深远的影响。本研究结合树木生长和稳定同位素,研究了中国中部太白山林线落叶松的树木生长动态,探讨其生态生理对环境压力的响应。结果表明,自20世纪60年代以来,秦艽的生长速度明显加快,该林木线的树木生长对春季温度尤为敏感。此外,iWUE的持续上升与较高的钙含量和较温暖的环境有关,促进了中山杉的生长。20世纪60年代以前,树环δ15N逐渐升高,然后随着树木生长的加速转为不明显的下降,并打破了原有的碳氮平衡。与此同时,自 20 世纪 60 年代以来,气候变暖和 iWUE 的增加已取代 N 成为树木生长的主要驱动力。人们认为,在继续快速生长的过程中,L. chinensis 的氮供应可能会逐渐下降。深入了解植物对生长相关环境条件反应的生化机制,将提高我们预测未来高海拔山区生态系统演变的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Weakened relationship between tree growth and nitrogen availability due to global CO2 increase and warming in the Taibai Mountain timberline, central China
Climate warming, rising atmospheric CO2 concentration (Ca) and nitrogen (N) availability are exerting profound impacts on global forest ecosystems, particularly in high-altitude mountains. This study investigated the tree-growth dynamics of timberline Larix chinensis in the Taibai Mountain, central China, to explore its ecophysiological responses to environmental stresses by combining tree growth and stable isotopes. The results indicated that the growth rate of L. chinensis has significantly increased since the 1960s, and that tree growth in this timberline was particularly sensitive to temperature in spring. Moreover, the continuously rising iWUE, linked to higher Ca and warmer environment, promoted the growth of L. chinensis. Before the 1960s, tree-ring δ15N gradually increased, then shifted to an insignificant decline with the acceleration of tree growth, and broke the pre-existing carbon-nitrogen balance. Meanwhile, climate warming and increased iWUE have replaced N as the principal drivers of tree growth since the 1960s. It is believed that L. chinensis may gradually suffer a decline in nitrogen availability as it continues to grow rapidly. The insightful understanding of the biochemical mechanisms of plant responses to growth-related environmental conditions will improve our ability to predict the evolution of high-elevation mountain ecosystems in the future.
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