天然麻栎次生林生长规律研究  被引量:9

Growth Law of Natural Quercus acutissima Secondary Forest

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作  者:刘小军 刘平宇 赵苗苗 谭佳伟 杨斌[2] 张文辉[2] LIU Xiao-jun;LIU Ping-yu;ZHAO Miao-miao;TAN Jia-wei;YANG Bin;ZHANG Wen-hui(Qiaoshan Forestry Bureau of Yan an City,Huangling 727300,Shaanxi,China;Key Comprehensive Laboratory of Forestry in Shaanxi Province,Northwest A&F University,Yangling 712100,Shaanxi,China)

机构地区:[1]延安市桥山林业局,陕西黄陵727300 [2]西北农林科技大学陕西省林业综合重点实验室,陕西杨陵712100

出  处:《西北林学院学报》2019年第1期175-179,共5页Journal of Northwest Forestry University

基  金:中央财政林业科技推广示范项目(SLTG[2016]);桥山水保型栎林目标树近自然培育技术推广与示范;西北农林科技大学大学生创新创业训练计划项目(2017)

摘  要:麻栎林在桥山林区栽培历史悠久,在水土保持、森林碳汇等方面发挥了重要的作用。通过解析木法对林区内的天然麻栎次生林生长规律进行了研究,并运用5种生长经验方程拟合其最优生长模型。结果表明,随着树龄的增加,麻栎树高、胸径和材积生长量均持续升高,且在59a内,各项生长均未达到数量成熟。天然麻栎次生林树高的速生期在4~12a,年均生长量为0.51m;胸径的速生期在10~42a,年均生长量为0.56cm;材积的速生期在42~59a,年均生长量为6.67×10^(-3) m^3。天然麻栎次生林树高、胸径和材积的连年生长量均表现出明显的波动变化规律。生长方程拟合结果表明,考夫(Korf)模型为天然麻栎次生林树高的最优生长模型;坎派兹(Compertz)模型为胸径的最优生长模型;逻辑斯蒂(Logistic)模型、坎派兹(Compertz)模型和理查德(Richard)模型为材积的最优生长模型。模型的预测误差小、准确度高,可用于实际的生产中。Quercus acutissima forest has a long history and plays an important role in soil and water conservation,forest carbon sink and so on in the forest area of Qiaoshan Mountain.In this paper,we studied the growth law of natural Q.acutissima secondary forest by analytical tree method,and then applied 5 growth equations to fit the optimal growth model.The results showed that the tree height,diameter at breast height (DBH) and volume of the Q.acutissima increased continuously with the increase of tree age,and in 59 years,they did not reach the quantity mature.The rapid growth periods of tree height,DBH,and volume were between 4-12,10-42,and 42-59 years,respectively,and with the annual growth increments of 0.51 m,0.56 cm,and 6.67×10^-3m^3,respectively.The current annual increment of height,DBH and volume showed obvious fluctuation rule.The fitting results of the growth equation indicated that the Korf model was the optimal growth model for height,the Compertz model was the optimal for DBH,and the Logistic,Compertz,and Richard models were the optimal ones for volume.These models were more accurate wtih small prediction error,and could be used in practice.

关 键 词:麻栎 解析木 天然次生林 生长方程 

分 类 号:S792.16[农业科学—林木遗传育种]

 

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