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玉龙雪山东坡不同海拔长苞冷杉径向生长与气候因子的关系
引用本文:张贇,尹定财,田昆,和荣华,和茂珍,李玉春,孙大成,张卫国. 玉龙雪山东坡不同海拔长苞冷杉径向生长与气候因子的关系[J]. 应用生态学报, 2018, 29(7): 2355-2361. DOI: 10.13287/j.1001-9332.201807.021
作者姓名:张贇  尹定财  田昆  和荣华  和茂珍  李玉春  孙大成  张卫国
作者单位:1.西南林业大学湿地学院/国家高原湿地研究中心, 昆明 650224;2.滇池湿地生态系统国家定位观测研究站, 昆明 650224;3.西南林业大学地理学院, 昆明 650224;4.丽江玉龙雪山省级自然保护区管护局, 云南丽江 674100
基金项目:本文由国家自然科学基金项目(31600395)、云南省教育厅科学研究基金项目(2017YJS094)、西南林业大学科技创新基金项目(C16057)和云南省高原湿地科学创新团队项目(2012HC007)资助.
摘    要:基于树木年代学方法,利用玉龙雪山东坡长苞冷杉树轮宽度资料,分别建立了3个海拔(低、中、高)长苞冷杉差值年表(RES),并利用响应分析与冗余分析(RDA)研究其径向生长与温度和降水的相关关系,分析影响玉龙雪山长苞冷杉径向生长的主要气候因子.结果表明: 玉龙雪山不同海拔长苞冷杉径向生长受气候变化的影响具有一致性,温度和降水共同作用于径向生长,这种一致性与玉龙雪山地形陡峭以及长苞冷杉的高海拔分布与浅根特性有关.不同海拔长苞冷杉径向生长均与当年7月和上年11月平均温以及当年1月降水量呈显著正相关,而与当年6月降水量呈显著负相关.响应分析与冗余分析的综合应用能够准确揭示环境梯度上树木生长与气候因子的关系.本研究可为该地区历史气候重建以及森林经营管理提供科学依据.

收稿时间:2018-01-03

Relationship between radial growth of Abies georgei and climate factors at different altitudes on the eastern slope of Yulong Snow Mountain,China.
ZHANG Yun,YIN Ding-cai,TIAN Kun,HE Rong-hua,HE Mao-zhen,LI Yu-chun,SUN Da-cheng,ZHANG Wei-guo. Relationship between radial growth of Abies georgei and climate factors at different altitudes on the eastern slope of Yulong Snow Mountain,China.[J]. The journal of applied ecology, 2018, 29(7): 2355-2361. DOI: 10.13287/j.1001-9332.201807.021
Authors:ZHANG Yun  YIN Ding-cai  TIAN Kun  HE Rong-hua  HE Mao-zhen  LI Yu-chun  SUN Da-cheng  ZHANG Wei-guo
Affiliation:1.College of Wetlands/National Plateau Wetlands Research Center, Southwest Forestry University, Kunming 650224, China;2.Naitional Positioning Research Station for Dianchi Wetland Ecosystem, Kunming 650224, China;3.School of Geography, Southwest Forestry University, Kunming 650224, China;4.Administration of Yulong Snow Mountain Provincial Nature Reserve, Lijiang 674100, Yunnan, China
Abstract:Based on dendrochronological methods, we established residual chronologies (RES) of Abies georgei at low, middle and high altitudes with ring width data on the eastern slope of Yulong Snow Mountain. We examined the relationship between the radial growth and climate factors (temperature and precipitation) by response function analysis and redundancy analysis (RDA) to identify the key climatic factors driving the radial growth of A. georgei. The results showed that the responses of radial growth of A. georgei to climates were consistent at three altitudes, which was jointly controlled by temperature and precipitation. This consistency was related to the steep terrain of Yulong Snow Mountain, the high-altitude distribution, and shallow root characteristics of A. georgei. At all three altitudes, tree growth showed significantly positive correlation with mean temperature of the current July, mean temperature of the previous November, and precipitation of the current January, but negative correlation with precipitation of the current June. The comprehensive application of response function analysis and redundancy analysis could accurately reveal the relationship between tree growth and climatic factors along environmental gradients. Our results provided a scientific basis for climatic reconstruction and forest management in the area.
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