基于立地类型的油茶树高生长模型
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摘要
以隆林县森林资源二类调查的油茶(Camellia oleifera)林小班为研究对象,利用主成分分析法划分隆林县油茶林的主要立地类型,然后采用5个理论生长方程构建不同立地类型的油茶树高生长模型。结果表明:(1)影响隆林县油茶林分布的主要立地因子为土壤类型、坡度、地貌和坡向,隆林县油茶林的立地类型可划分为54种;(2)红壤缓坡低山阴坡、红壤缓坡丘陵阴坡、黄壤缓坡低山阴坡、黄壤缓坡丘陵阴坡、石灰土缓坡低山阳坡以及石灰土平坡低山阳坡立地类型的油茶最优树高生长模型均为Logistic模型,黄壤缓坡低山阳坡的最优模型为Korf模型,石灰土缓坡低山阴坡的最优模型为Gompertz模型。
Based on the forest resource inventory and planning of Camellia oleifera stand in Longlin county,the main site types of C. oleifera stand in Longlin county were classified by principal component analysis. Five theoretical growth models were used to construct height-growth models of C. oleifera in different site types. The results showed that the main site factors affecting the distribution of C. oleifera stand in Longlin county were soil type, slope, landform and slope direction. The site types of C. oleifera stand in Longlin county wrer divided into 54 types. The optimal tree height-growth model of C. oleifera were the Logistic model on the site of gentle shady slope with red soil in low mountain, gentle shady slope with red soil in hill, gentle shady slope with yellow soil in low mountain, gentle shady slope with yellow soil in hill, gentle sunny slope with lime soil in low mountain, flat sunny slope with lime soil in low mountain. The optimal tree height growth model of C.oleifera was the Korf model on the site of gentle sunny slope with yellow soil in low mountain. The optimal tree height growth model of C. oleifera was the Gompertz model on the site of gentle shady slope with lime soil in low mountain.
Based on the forest resource inventory and planning of Camellia oleifera stand in Longlin county,the main site types of C. oleifera stand in Longlin county were classified by principal component analysis. Five theoretical growth models were used to construct height-growth models of C. oleifera in different site types. The results showed that the main site factors affecting the distribution of C. oleifera stand in Longlin county were soil type, slope, landform and slope direction. The site types of C. oleifera stand in Longlin county wrer divided into 54 types. The optimal tree height-growth model of C. oleifera were the Logistic model on the site of gentle shady slope with red soil in low mountain, gentle shady slope with red soil in hill, gentle shady slope with yellow soil in low mountain, gentle shady slope with yellow soil in hill, gentle sunny slope with lime soil in low mountain, flat sunny slope with lime soil in low mountain. The optimal tree height growth model of C.oleifera was the Korf model on the site of gentle sunny slope with yellow soil in low mountain. The optimal tree height growth model of C. oleifera was the Gompertz model on the site of gentle shady slope with lime soil in low mountain.
引文
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[4]刘喻娟,张应中,丁晓纲,等.广东省油茶低产林原因分析及改造技术措施浅探[J].广东林业科技,2011,27(6):68-73.
[5]张汉永,肖腊兴.软枝油茶扦插育苗技术[J].广东林业科技,2005,21(2):76-78.
[6]吴云飞,郎南军,李甜江,等.云油茶的生长指标及其立地因子的相关性与主导性分析[J].西部林业科学,2014,43(2):79-84.
[7]丁桂娇,阮成江,赵月,等.玉屏油茶良种果实性状的相关性和主成分分析[J].经济林研究,2016,34(1):26-32.
[8]王彦花,王容,张云,等.基于主成分分析的油茶果经济性状及茶油脂肪酸组成[J].食品工业科技,2019,40(1):251-255.
[9]周先明,徐春,杨汉波,等.主成分分析法在四川桤木优树选择中的应用[J].四川林业科技,2018,39(3):98-102.
[10]宋博文.基于主成分分析的叶片光谱模拟与参数反演[D].西安:西安科技大学,2018.
[11]廖力勤.基于BP神经网络的凌云县森林碳储量遥感反演研究[J].湖南林业科技,2018,45(4):33-39.
[12]BAO T,JIANG G.The analysis of measured data of plant and tree growth with richards and logistic model[J].Advanced Materials Research,2011,1269(243):2491-2497.
[13]COLIN PD,BIRCH.A new generalized logistic sigmoid growth equation compared with the richards growth equation[J].Annals of Botany,1999,83(6):713-723.
[14]刘洁.不同立地油茶林土壤肥力质量评价与茶油品质特性研究[D].长沙:中南林业科技大学,2018.
[15]曾爱平,李悌仲,刘洪见.地形对油茶生长结实的影响[J].浙江农业科学,2013(12):1577-1578.
[16]严邦祥,刘日林,陈祖海,等.不同立地条件对油茶生长量的影响[J].浙江林业科技,2013,33(5):40-43.