摘要
利用云南省普洱市45块思茅松天然成熟林样地调查数据,采用Weibull分布函数对林内总体、思茅松和其他树种的林分直径结构进行拟合,并选用典范对应分析(CCA)方法,对林内总体、思茅松和其他树种林分直径结构拟合函数参数随环境因子(林分、地形、土壤和气候因子)的变化规律进行分析。研究表明:(1)从林分直径结构分布拟合的结果来看,3个研究位点总体、思茅松和其他树种林分直径结构分布差异较不显著。(2)林分、地形、土壤和气候因子第一排序轴分别解释了55.0%、46.5%、43.0%和59.1%的信息量,较好的反映了思茅松天然成熟林林分直径结构随环境因子的变化规律。4类环境因子中,气候因子最好的解释了林分直径结构的变化,林分因子次之。(3)从4类环境因子与排序轴的相关性来看,林分因子中林分平均高(Hm)与第一排序轴呈现最强正相关(0.682),林分优势高(Ht)次之(0.577 2);地形因子中坡度(SLO)与第一排序轴具有最强相关性(0.386 1);土壤因子中全磷(TP)与第一排序轴的相关性最高(-0.576 5);气候因子中等温性(b3)、季节性温度(b4)、降水最小月降水(b14)、最干季降水(b17)、最冷季降水(b19)与排序轴的相关性均在0.42以上。(4)从二维排序图上来看,林内总体、思茅松林分直径结构拟合函数c参数相对较近,这表明林内总体、思茅松林分直径结构呈现较为一致的变化趋势,而其他树种与两者并没呈现出明显的规律性。
45 plots of Simao pine（Pinus kesiya var. langbianensis） natural mature forests were investigated in Pu＇er City, Yunnan province, and Weibull distribution function was selected to fit the stand diameter structure on totality, Simao pine and other tree species in the forests. Then, canonical correspondence analysis（CCA） was used to analyze the variation of fitting function parameters of stand diameter structure along with four types of environmental factors（stand, topography, soil and climate factors）.The results showed that：（1） for the fitting of stand diameter structure distribution, the differences of stand diameter structure distribution on totality, Simao pine and other tree species in three study sites were not significant.（2） The first ordination axis of the stand, topography, soil and climate factors respectively explained 55.0%, 46.5%, 43.0% and 59.1% for the variation, it had better explanation on the variation of stand diameter structure of Simao pine natural mature forests along with four environmental factors. In this four kinds of environmental factors, the variation of stand diameter structure was best explained by climate factors, followed by stand factors.（3） It was vividly depicted on the correlation between four environmental factors and ordination axes, the stand average height（Hm） presented the strongest correlation（0.682） with the first ordination axis, the stand dominant height（Ht） was second（0.577 2）; the slope（SLO） had the highest correlation with the first ordination axis, and the correlation coefficient was 0.3861; the correlation between total phosphorus（TP） and the first ordination axis was highest（-0.576 5）; the correlation between isothermality（b3）, temperature seasonality（b4）, precipitation of driest month（b14）, precipitation of driest quarter（b17）, precipitation of coldest quarter（b19） and ordination axes were more than 0.42.（4） In the two-dimensional diagrams of CCA, the c parameters of fitting function
作者
吴文君
胥辉
黄明泉
李超
闾妍宇
魏安超
熊河先
欧光龙
WU Wenjun;XU Hui;HUANG Mingquan;LI Chao;LV Yanyu;WEI Anchao;XIONG Hexian;OU Guanglong(Key Laboratory of State Forestry Administration on Biodiversity Conservation in Southwest China, Southwest Forestry University, Kunming 650224, Yunnan, Chin)
出处
《中南林业科技大学学报》
CAS
CSCD
北大核心
2018年第6期41-49,共9页
Journal of Central South University of Forestry & Technology
基金
国家自然科学基金项目(31560209
31760206
31660202)
关键词
林分直径结构
Weibull分布函数
环境因子
CCA排序
思茅松
stand diameter structure
Weibull distribution fimction
environmental factors
CCA ordination
Pinus kesiya var. langbianensis
