摘要
古榆树(Ulmus pumila)是黑龙江省古树资源的重要组成部分,开展黑龙江省古榆树资源特征分析,为古榆树资源的有效保护与价值利用提供基础资料.以黑龙江省2017年古树普查数据为基础,结合实地调查,整理出黑龙江省古榆树资源数据集.运用泰森多边形法,初步分析黑龙江省古榆树资源的空间分布类型,明确黑龙江省古榆树资源的分布特征.其次分析黑龙江省古榆树资源形态指标特征,运用多元线性回归模型模拟古榆树树龄与形态指标特征之间的相关关系,探究古榆树生长规律,总结出用于描述不同形态指标之间的适宜模型.结果表明,黑龙江省古榆树共有2 987株,在空间尺度上呈聚集型分布,主要分布在大庆市(1 127株)、哈尔滨市(1 110株)、牡丹江市(478株).古榆树树龄主要集中在(100,150]年范围,占比85.002％;冠幅在[10,15)m范围占比最高,为43.723％.胸径主要集中在[100,200),[200,300)cm范围,合计占比85.772％;树高在[15,20)m范围占比最高,为38.232％;胸径与树龄、冠幅之间存在正相关关系,冠幅与树龄之间存在正相关关系,各因子之间多元回归模型拟合效果较好,为今后探究古树名木的生长规律及相关关系研究提供理论参考.
Abstract
Ancient Ulmus pumila is an important part of ancient tree resources in Heilongjiang Province.The analysis of the characteristics of ancient Ulmus pumila resources in Heilongjiang Province provides basic data for the effective protection and value utilization of ancient Ulmus pumila resources.Based on the census data of ancient trees in Heilongjiang Province in 2017,combined with field investigation,sorted out the data set of ancient Ulmuspumila resources in Heilongjiang Province.The spatial distribution types of ancient Ulmus pumila resources in Heilongjiang Province were preliminarily analyzed by using Thiessen polygon method,and the distribution characteristics of ancient Ulmus pumila resources in Heilongjiang Province were clarified.Secondly,the characteristics of morphological indexes of ancient Ulmus pumila resources in Heilongjiang Province were analyzed.The correlation between the age of ancient Ulmus pumila trees and the characteristics of morphological indexes was simulated by multiple linear regression model.The growth law of ancient Ulmuspumila trees was explored,and the suitable model for describing different morphological indexes was summarized.The results showed that there were 2 987 ancient Ulmuspumila trees in Heilongjiang Province,which were clustered on the spatial scale,mainly distributed in Daqing City(1 127 trees),Harbin City(1110 trees)and Mudanjiang City(478 trees).The age of ancient Ulmus pumila is mainly concentrated in the range of(100,150]year,accounting for 85.002％.The crown width is in the range of[10,15)m,accounting for the highest proportion of 43.723％.The DBH was mainly concentrated in the range of[100,200),[200,300)cm,accounting for 85.772％.The tree height is in the range of[15,20)m,accounting for 38.232％.There is a positive correlation between DBH and tree age and crown width.There is a positive correlation between crown width and tree age.The multiple regression model between each factor has a good fitting effect,which provides a theoretical reference for future research on the growth law and correlation of ancient and famous trees.
基金项目
东北林业大学东北亚生物多样性研究中心项目(NABRI202302)
维普
万方数据