详细信息
侧柏年轮宽度和年轮密度对气候变化的响应 被引量:28
Response of Ring Width and Ring Density of Platycladus orientalis to Climate Change in Beijing
文献类型:期刊文献
中文题名:侧柏年轮宽度和年轮密度对气候变化的响应
英文题名:Response of Ring Width and Ring Density of Platycladus orientalis to Climate Change in Beijing
作者:黄荣凤[1] 赵有科[1] 吕建雄[1] 鲍甫成[1]
第一作者:黄荣凤
机构:[1]中国林业科学研究院木材工业研究所
年份:2006
卷号:42
期号:7
起止页码:78-82
中文期刊名:林业科学
外文期刊名:Scientia Silvae Sinicae
收录:CSTPCD;;Scopus;北大核心:【北大核心2004】;CSCD:【CSCD2011_2012】;
基金:国家自然科学基金资助项目(30200217)。
语种:中文
中文关键词:侧柏;年轮宽度;年轮密度;气候因子;响应
外文关键词:Platycladus orientalis ; ring width; ring density ; climate variance; response
分类号:S791.38
摘要:通过响应函数分析和多元回归分析等年轮气候学方法,研究北京地区侧柏年轮宽度和年轮密度对气候变化的响应。结果表明:侧柏年轮宽度序列和年轮密度序列对气候变化相当敏感。前一年10月到当年9月的月平均气温和月降水量的响应函数模型可解释年轮宽度变化的58.45%,年轮密度变化的77.81%。夏季降水对侧柏年轮宽度有显著的正效应,而对年轮密度则表现出负效应。与降水的影响相反,夏季气温对侧柏年轮宽度表现出显著的负效应,对年轮密度表现出显著的正效应。其中,当年7月的气温和降水对侧柏年轮宽度和年轮密度的作用尤为显著。说明侧柏的年轮宽度和年轮密度均可用于年轮气候学研究,且年轮密度包含的信息量高于年轮宽度。
Response of ring width and ring density to climate variance was studied by theories and techniques of dendrochronology including response functions analysis and multiple regression analysis for Platycladus orientalis in Beijing, China. The results showed that ring width series and ring density series of P. orientalis was sensitive to climate variance. The climate response models were established with mean monthly temperature and total monthly precipitation from the preceding November to the current October. The models explained 58.45 % and 77.81% of the ring width total variance and ring density total variance, respectively. It.was found that ring width has a significant positive response to precipitation and a significant negative response to temperature from June to August during the current growing season. The reverse was true to the ring density, it had a negative response to temperature and a significant positive response to precipitation. Response of ring width and ring density to climate variance was evident especially July. The results indicated both the ring width and the ring density of P. orientalis are very useful variables for the study of dendroclimatology.
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