Liu Yu, Song Huiming, Sun Changfeng, Song Yi, Cai Qiufang, Liu Ruoshi, Lei Ying, Li Qiang
The State Key Laboratory of Loess and Quaternary Geology, Center for Excellence in Quaternary Science and Global Change, The Institute of Earth Environment, Chinese Academy of Sciences, Xi'an 710061, China.
Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China.
Natl Sci Rev. 2019 Mar;6(2):359-368. doi: 10.1093/nsr/nwy101. Epub 2018 Sep 14.
The numerous temperature and precipitation reconstructions in China based on tree-ring-width data have played significant roles in furthering the understanding of past climate changes. However, the geographical variability in the responses of trees to climate variations in China remains largely undetermined. Here, we describe an important spatial boundary in the response of trees to climate variations, namely the 600-mm annual precipitation isoline. We found that, to the north of this line, tree-ring widths are usually positively correlated with precipitation and negatively correlated with growing-season temperature. To the south of this line, the tree-ring widths respond positively to temperature, and winter half-year temperatures are the main reconstructed parameters, especially on the third topographical step of China. We also found that precipitation reconstructions based on tree-ring data and the Palmer Drought Severity Index almost exclusively fall in the region of the 200- to 600-mm annual precipitation isolines, not other regions. Our findings indicate that, when using multiple tree-ring-width chronologies for large-scale past climate reconstructions, the climatic signal of each tree-ring-width series should be carefully considered.
中国基于树木年轮宽度数据开展的大量温度和降水重建工作,在深化对过去气候变化的理解方面发挥了重要作用。然而,中国树木对气候变化响应的地理变异性在很大程度上仍未确定。在此,我们描述了树木对气候变化响应中的一个重要空间界限,即年降水量600毫米等值线。我们发现,在这条线以北,树木年轮宽度通常与降水量呈正相关,与生长季温度呈负相关。在这条线以南,树木年轮宽度对温度呈正响应,冬季半年温度是主要的重建参数,在中国第三地形阶梯上尤其如此。我们还发现,基于树木年轮数据和帕尔默干旱严重度指数的降水重建几乎都落在年降水量200至600毫米等值线区域,而非其他区域。我们的研究结果表明,在使用多个树木年轮宽度年表进行大规模过去气候重建时,应仔细考虑每个树木年轮宽度序列的气候信号。