不同去趋势方法对树轮气候信号识别的影响

树木生长受到气候因子、随年龄增长的内在生长趋势、环境干扰和其他扰动信号的影响。目前存在不同的去趋势方法对树木年轮进行去趋势以识别树木生长中的气候信号。以往的研究多基于单个方法识别树轮气候信号，而不同去趋势方法识别的树轮气候信号可能会有一定的差别。为了对比不同去趋势方法对树轮气候信号识别的影响，我们基于国际年轮数据库网站获取中国西部地区68 个点的树轮宽度数据，采用最常用的“signal-free”方法( SsfCrn) 、线性和负指数函数法( std) 、67%样条函数法( spline) 、firedman 方法、以及基于经验模式分解去趋势方法( EEMD) 5 种去趋势方法分别建立树轮年表，并对比分析同一地点的不同年表对气候响应的异同。结果表明: 不同去趋势方法得到的年表对温度、降水以及相对湿度等气候因素的响应具有明显差异。

Tree growth is affected by climatic factors, intrinsic growth trends with increasing age, environmental disturbances, and other perturbation signals. Currently, various detrending methods are used to detrend tree rings and identify climatic signals in tree growth. Previous studies mostly relied on a single method to detect tree-ring climatic signals, whereas the climatic signals identified by different detrending methods may show certain differences. To compare the impacts of different detrending methods on the identification of tree-ring climatic signals, we obtained tree-ring width data from 68 sites in western China through the International Tree-Ring Data Bank (ITRDB) website. Five commonly used detrending methods were applied to develop tree-ring chronologies, including the "signal-free" method (SsfCrn), linear and negative exponential function method (std), 67% spline function method (spline), Friedman method, and empirical mode decomposition-based detrending method (EEMD). We then comparatively analyzed the similarities and differences in climatic responses among different chronologies from the same site. The results indicate that the chronologies derived from different detrending methods have distinct responses to climatic factors such as temperature, precipitation, and relative humidity.

搜集汇总

背景与挑战

背景概述

该数据集研究不同去趋势方法对树轮气候信号识别的影响，基于中国西部地区68个点的树轮宽度数据，比较了五种常用去趋势方法建立的年表，发现这些方法在识别温度、降水和相对湿度等气候信号时存在明显差异。数据集属于落叶松高效培育技术研究项目，以文档格式提供，数据量为4.05 MB，适用于植物学领域的研究。