机构地区:[1]兰州大学西部环境教育部重点实验室中德干旱环境研究中心
出 处:《生态学报》2007年第8期3268-3276,共9页Acta Ecologica Sinica
基 金:国家自然科学基金资助项目(40671191;90502008);国家自然科学基金创新群体资助项目(40421101);国家教育部"新世纪优秀人才支持计划"资助项目(NCET-05-0888);高等学校"学科创新引智计划资助项目"(B06026)~~
摘 要:利用位于同一坡面的青海云杉树芯样本,建立了4个海拔高度的树轮宽度指数年表。分析结果表明年表序列特征值大都因海拔而不同,各年表序列对气候因子的相关性在不同高度也表现出一定的差异:树木生长都与前一年10月份月均温显著正相关,与前一年8月份和当年5、6月份月均温显著负相关;与前一年9、10月份和当年5月份的降水量都呈显著正相关,但都随海拔升高呈波状变化。树轮宽度指数与不同时段的温度和温暖指数都呈负相关,表明5~9月是该地区青海云杉生长较为活跃的季节。响应函数分析结果表明该地区低海拔生长的青海云杉受温度和降水的影响都比高海拔生长的更显著,显然不同于以前研究的森林上下限树木的生长模式。4a表主成分中的第一主分量贡献率为81.071%,表明同一坡面影响树木生长的大环境因子是一致的。第一主分量与气候因子的相关分析同样显示出前一年生长季末和当年生长季初的水热组合是树木生长的主要限制因子,区域模拟也进一步证明了这一点。并认清了同一坡面青海云杉树轮记录的共性和差异,为今后树轮采样和研究提供一定的理论依据。Based on tree-ring samples of Picea crassifolia at four different elevations along a north-facing slope in the Anymaqin Mountains, northeastern Tibetan Plateau, we developed four ring-width chronologies. Statistical resuhs showed that characteristics of chronologies are different with the increasing elevation, and the correlations of chronologies in the common interval decreased with the increasing elevation. Meanwhile, correlations between the chronologies of different elevation and the two climatic parameters (temperature and precipitaton ) exhibited distinct difference: tree-rings were significantly and positively correlated with the October mean monthly temperature of precious year, and also were significantly but negatively correlated with prior August and current May and June mean monthly temperatures, respectively. All the correlations were fluctuating with the increasing elevation. Tree-rings were significantly and positively correlated with the September and October precipitation of precious years, but were decreasing along the increasing elevation. Tree-rings were also significantly and positively correlated with the May precipitation of current years, and the correlations were increasing along the increase of the elevation. Furthermore, tree-rings were also negatively correlated with temperatures of different time interval and the warming index, proving that the optimal growing season of Picea crassifolia is May- September. The results of response function analyses showed that the influence of temperature and precipitation explained most of the growth variance at the low-elevation site, but much less at the high-elevation site. The results were greatly different from previous studies that tree-rings were significantly and positively correlated with temperature at the upper forest limit, whereas were significantly correlated with precipitation at the lower forest limit. Principal component (PC) analysis was used to indicate regional variations in radial growth patterns. Of the four chronologie
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