黑龙江省红松 工林枝条分布数量模拟. (Chinese)
In: Yingyong Shengtai Xuebao, Jg. 27 (2016-07-18), Heft 7, S. 2172-2180
Online
academicJournal
Zugriff:
Based on the measurement of 955 branch samples of 65 Korean pine (Pinus koraiensis) trees in 12 plots from Mengjiagang forest farm, Heilongjiang Province, and by using Poisson model and negative binomial model, the second-order branch count models for Korean pine were developed in this paper. AIC, Pseudo R2, RMSE and Vuong test were selected to compare the goodnessoffit statistics of the models. The results indicated that the first-order branch count in a whorl was 3 to 5, with mean value of 4, and the firstorder branch count in a whorl for Korean pine plantation associated with its own characteristics. The secondorder branch count of the firstorder standard branch had a large discrete degree. All subset regression techniques were used to develop the second-order branch count model. The negative binomial regression model E(Y)=exp(β0+β1 ln RDINC+β2 RDINC2+β3 HT/DBH+β4 CL+β5 DBH) was selected as the optimal second-order branch count model (β represented the parameter, RDINC represented the relative depth into crown from tree apex, HT represented the total tree height, DBH represented the tree diameter at breast height, CL represented the crown length). Pseudo R2 of the optimal model was 0.79, the mean error was close to 0 and the mean absolute error was less than 7. For the developed model, the parameter values of ln RDINC, CL and DBH were negative, and the parameter values of RDINC2 and HT/DBH were positive. With the increase of RDINC, the number of second-order branch had a peak value in the tree crown. On the whole, the precision of the second-order branch count model for Korean pine plantation was 96.4%, which would be suitable for predicting the secondorder branch count for the study area and provide a theoretic basis for branch photosynthesis and biomass research. [ABSTRACT FROM AUTHOR]
摘 要 基于黑龙江省佳木斯市孟家岗林场的12 块样地65 株 工红松解析木的955 个枝 解析数据,以Poisson 回归模型和负二项回归模型作为备选模型,构建了 工红松二级枝条数 量分布模型,并采用AIC、Pseudo⁃R2、均方根误差(RMSE) 和Vuong 检验对模型的拟合优度进 行比较.结果表明: 每轮一级枝条分布数量集中在3~5 个,均值为4 个,一级枝条分布数量与 工红松自身的枝条属性相关.一级标准枝上二级枝条分布的离散程度较大,利用全部子回 归技术构建二级枝条分布数量模型,最终选择以负二项回归模型为基础的E( Y) = exp( β0 + β1lnRDINC+β2RDINC2 +β3HT / DBH+β4CL+β5DBH)作为二级枝条分布数量最优预测模型(β 为 参数;RDINC 为相对着枝深度;HT 为树高;DBH 为胸径;CL 为冠长).最优模型的Pseudo⁃R2为 0.79,平均偏差接近于0,平均绝对偏差<7.对于所建立的模型,lnRDINC、CL 和DBH 的参数为 正值,RDINC2和HT / DBH 的为负值,随着RDINC 增大,在树冠内二级枝条分布数量存在最大 值.总的来说,所建立的 工红松二级枝条分布数量模型的预测精度为96.4%,可以很好地预 估该研究区域 工红松二级枝条分布数量,为以后枝条的光合作用和生物量的研究提供了理 论基础. [ABSTRACT FROM AUTHOR]
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Titel: |
黑龙江省红松 工林枝条分布数量模拟. (Chinese)
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Autor/in / Beteiligte Person: | 杨, 郑 ; 董利虎 ; 李凤 |
Link: | |
Zeitschrift: | Yingyong Shengtai Xuebao, Jg. 27 (2016-07-18), Heft 7, S. 2172-2180 |
Veröffentlichung: | 2016 |
Medientyp: | academicJournal |
ISSN: | 1001-9332 (print) |
DOI: | 10.13287/j.1001-9332.201607.021 |
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