长岭杉木树干材积连年生长量的模拟模型研究  

Study on Simulation Models for Current Annual Volume Growth of Cunninghamia lanceolata Trunk in Changling

作　　者：翟亚明[1,2] 杨倩[3] 

机构地区：[1]河海大学南方地区高效灌排与农业水土环境教育部重点实验室,江苏南京210098 [2]河海大学水利水电学院,江苏南京210098 [3]河南农业职业学院园艺园林系,河南郑州451450

出　　处：《江西农业学报》2015年第6期27-29,共3页Acta Agriculturae Jiangxi

基　　金：国家自然科学基金(E090203);江苏省自然科学基金-青年基金项目(BK20130838);中央高校基本业务经费(2012B00914)

摘　　要：为进一步探索长岭杉木树干材积连年生长量的变化规律,引入线性模型、指数模型和Logistic模型,并对不同立地杉木树干材积连年生长量进行了模型模拟。结果表明：不同立地杉木生长速率不同,山凹与东下坡杉木树干材积连年生长量率先越过高峰期并急剧下降;线性模型在模拟较为复杂的生长量变化规律（山凹与东下坡）时存在局限性,效果不太理想;而Logistic模型的相关系数为0.9706-0.9933,模型精度最高,能够为决策者提供更多的信息,在模拟长岭杉木树干材积连年生长量过程中具有更强的适用性。In order to further explore the variation regularity of current annual volume growth of fir （ Cunninghamia lanceolata） trunk in Changling, the author introduced linear model, exponential model and Logistic model to simulate the current annual volume growth of fir trunk under various land site conditions.The results showed that the growth rates of C.lanceolata in different areas were diverse, and the current annual volume growth of C.lanceolata trunk in corrie and eastern downhill firstly reached the maximum value and then sharply declined.Linear model had some limitations in simulating the complicated variation regularity of volume growth of fir trunk in corrie and eastern downhill, showing an unsatisfactory simulation result.While Logistic model had the highest simulation accuracy with the correlation coefficient of 0.9706-0.9933;this model could provide more information for the deciders, and it was more appropriate for the simulation of current annual volume growth of C.lanceolata trunk in Changling.

关 键 词：杉木 生长量 模型 模拟 相关系数 

分 类 号：S791.27[农业科学—林木遗传育种]