太白山高山林线区太白红杉林年轮宽度对气候变化的响应  

Responses of Tree Ring Width of Larix chinensis in the Regions of Alpine Timberline in Taibai Mountain to Climate Change

作　　者：康永祥[1] 刘婧辉[1] 孙菲菲[2] 代栓发[3] 何小军[3] 

机构地区：[1]西北农林科技大学,杨凌712100 [2]中国科学院遥感应用研究所 [3]陕西太白山国家级自然保护区管理局

出　　处：《东北林业大学学报》2010年第8期11-13,44,共4页Journal of Northeast Forestry University

基　　金：国家科技支撑计划项目(2007BAC03A02-06-03)

摘　　要：以秦岭中段的太白山生态公园和太白山自然保护区的高山林线太白红杉(Larix chinensis)林为研究对象,应用相关分析、逐步回归等方法对其年轮生长动态与气候因子变化的响应进行了分析与研究。结果表明:太白红杉林上坡位及林缘样本中包含了丰富的气候信息,适于作为研究样地进行年轮分析;个别月份的气象因子对年轮生长的影响要显著地高于年际的影响;太白红杉年轮序列与当年4月份温度呈显著正相关;太白红杉年轮序列与月降水量关系复杂,与当年8月份的降水量为显著负相关,而与当年10月份的降水量为显著正相关。气候因子对太白红杉生长的滞后效应分析表明:降水的滞后性较温度明显,但都未通过显著性检验。根据响应函数重建部分气候因子变化模型后得到,当年4月份平均温度、当年8月份降水量和当年10月份降水量的预测模型最为稳定。An experiment was conducted to study the responses of tree-ring growth to climatic factors by the methods of correlation analysis and stepwise regression using Larix chinensis in the regions of the alpine and sub-alpine timberline in the Taibai National Ecological Park and Taibai Mountain Nature Reserve as a research object. Results showed that wealth of information was included in the samples of L. chinensis located in the upper slope position and forest margin, so samples in these areas were suitable for doing analysis of annual rings. The response of the ring growth to climatic factors of certain months was more significant than that of the whole year： there was a significant positive correlation between tree-ring index series and the average temperature in April of current year; the relationship between tree-ring index series and precipitation was more complex, tree-ring index series had a significant negative correlation with precipitation in August of current year and had a significant positive correlation with precipitation in October of the current year. In addition, the lag-effect analysis of climate factors to the response of the tree-ring growth of L. chinensis showed that the lag-effect of precipitation was more remarkable than that of temperature, but they did not pass the significant test. After reconstructing the climatic model according to response function, the result indicated that the prediction model of average temperature in April of current year and the prediction model of the precipitation in August and October of current year were most stable.

关 键 词：高山林线 年轮宽度 气候变化 滞后性分析 响应函数 

分 类 号：S718.45[农业科学—林学]