[1]冉啟香,邓华锋*,吕常笑,等. 油松林分断面积与蓄积量生长模型研究[J].西北林学院学报,2016,31(5):217-223.[doi:10.3969/j.issn.1001-7461.2016.05.36]
 RAN Qi-xiang,DENG Hua-feng*,LYV Chang-xiao,et al. Stand Basal Area and Volume Growth for Pinus tabulaeformis[J].JOURNAL OF NORTHWEST FORESTRY UNIVERSITY,2016,31(5):217-223.[doi:10.3969/j.issn.1001-7461.2016.05.36]
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 油松林分断面积与蓄积量生长模型研究()
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《西北林学院学报》[ISSN:1001-7461/CN:61-1202/S]

卷:
第31卷
期数:
2016年第5期
页码:
217-223
栏目:
出版日期:
2016-09-30

文章信息/Info

Title:
 Stand Basal Area and Volume Growth for Pinus tabulaeformis
文章编号:
1001-7461(2016)05-0217-07
作者:
 冉啟香1邓华锋1*吕常笑1王雪军2张璐2
 (1.北京林业大学,北京 100083;2.国家林业局 调查规划设计院,北京 100029)
Author(s):
 RAN Qi-xiang1DENG Hua-feng1*LYV Chang-xiao1WANG Xue-jun2ZHANG Lu2
 (1.Beijing Forestry University,Beijing 100083,China; 2.Academy of Forest Inventory and Planning,State Forestry Administration,Beijing 100029,China)
关键词:
 油松哑变量人工林生长模型
Keywords:
Pinus tabuliformis dummy variable artificial forest growth model
分类号:
S757
DOI:
10.3969/j.issn.1001-7461.2016.05.36
文献标志码:
A
摘要:
 对北京地区油松林分断面积、蓄积量生长模型进行研究,为建立通用的、相容的断面积、蓄积量生长模型奠定基础。利用北京市油松一类清查数据,以Richards和Shumacher 为基础模型,通过选取不同的密度指标,分别拟合油松林分的断面积、蓄积量生长模型,并选取最优的断面积、蓄积量模型,引入哑变量,将间伐林分和未间伐林分合并建立林分断面积、蓄积量生长模型。结果表明,油松林分的断面积、蓄积的模拟效果都较好,R2分别最高达0.900 0、0.890 0,而且不同的密度指标直接影响模型的预估效果,林分断面积生长模型选用林分密度指数作为密度指标的预估效果更好;林分蓄积量生长模型选用林分断面积作为密度指标时预估效果更好,当在模型中的渐近值参数引入密度指标后,Schumacher模型对林分蓄积量的预估精度又要略优于Richards模型,通过模型的独立性检验,预测精度均在91%以上;而在最优的模型上引入哑变量后的林分断面积、蓄积量模型的R2、预测精度都比常规的模型稍高,R2均在0.900 0以上,预测精度在0.950 0以上。引入哑变量能适当的提高模型的精度,可以用来描述北京地区油松林分在不同措施下的生长变化规律,也解决了不同类型林分合并建模不相容的问题。
Abstract:
 The objective of this study was to establish general and compatible models of stand basal area and stand volume growth.By using the inventory data of Pinus tabulaeformis in Beijing,taking the Richards and the Shumacher models as the prototypes,choosing different density index,we separately fit the basal area model and the volume growth model,and then selected the optimal one,introduced the dummy variable,then we combined the thinning and not thinning standing forest,trying to build the basal area model and volume growth model.The results showed that the simulations of the basal area and volume were fine and the maximums of R2 reached 0.900 0 and 0.890 0,respectively.Moreover,using different density indices would directly affect the model and the effect would be better if we chose the stand density as the index for the stand basal area growth model and the stand basal area as the index for the volume growth model.When we added the asymptotic value parameters of the model to the density indicator,the precision of Schumacher model was slightly better than the Richards model on forecasting the stand volume.Independence test of the model indicated thatthe accuracy of the model on forecasting was above 91%.Besides,the forecasting precision of the optimal model was slightly higher than the conventional one after we introduced the dummy variable,the value of R2 was above 0.900 0 and the prediction accuracy was above 0.950 0.It was concluded according to the result that to a certain degree the introducing of the dummy variable could improve the precision of the model,and we could use it to describe the growth law of the standing forests with different management measures in Beijing and to solve the incompatibility of combining different types of models.

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备注/Memo

备注/Memo:
 收稿日期:2015-12-10修回日期:2016-03-04
基金项目:北京市教育委员会科学研究与科研基地建设项目(省部共建重点实验室);国家林业公益性行业科研专项(201204510)。
作者简介:冉啟香,女,在读硕士,研究方向:森林资源监测与评价。E-mail:851912335@qq.com
*通信作者:邓华锋,男,教授,博士,硕士生导师,研究方向:森林可持续经营。E-mail:denghuafeng@bjfu.edu.cn
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