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长白山云冷杉针阔混交林最优竞争指标的研究
孔 雷1, 亢新刚2, 赵浩彦,等3
1.国家林业局 昆明勘察设计院;2.北京林业大学 林学院,省部共建森林培育与保护教育部重点实验室;3.南京森林警察学院
摘要:
【目的】基于长白山天然云冷杉针阔混交林林分的结构特点,构造了与距离有关的新竞争指标——树种耐阴性竞争指数(CIS)。【方法】以天然云冷杉针阔混交林12块固定样地为研究对象,将搭配4种竞争木选择方法(M1、M2、M3和M4)的11个竞争指标,分别用于拟合林木胸高断面积生长量,利用非线性平方和法检验(F检验)各竞争指标的拟合度。【结果】与距离有关的竞争指标在拟合天然异龄混交林胸高断面积生长量方程上要优于与距离无关的竞争指标。以CIS/M2拟合的长白山云冷杉针阔混交林全树种、云杉和冷杉胸高断面积生长方程的减小均方误差均最大,分别为0.462,0.085和0.623。【结论】与其他各类竞争指标相比,CIS/M2的拟合度最高。
关键词:  长白山  云冷杉针阔混交林  树种耐阴性竞争指数  与距离有关的竞争指标  与距离无关的竞争指标  林木胸高断面积生长量
DOI:
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基金项目:国家“十二五”科技支撑项目“森林可持续经营关键技术研究与示范”(2012BAD22B02-3)
Optimal competition indexes of spruce-fir conifer and broadleaf mixed stands in the Changbai Mountains
KONG Lei,KANG Xin-gang,ZHAO Hao-yan,et al
Abstract:
【Objective】Based on the structural characters of spruce fir conifer and broadleaf mixed stands in the Changbai Mountains,a distance dependent competition index(CIS) was created.【Method】The study was based on 12 permanent plots of the spruce-fir conifer and broadleaf mixed forests.11 competition indexes with 4 competitive tree selected methods were used to fit the equations of basal area growth at DBH,and the non-linear sum of squares method was applied to test the goodness.【Result】Distance dependent competition indexes were better than distance-independent competition indexes in fitting the basal growth at DBH of natural mixed forests.MSER values of shadow tolerance competition indexes (CIS/M2) of all species,spruce and fir were 0.462,0.085 and 0.623,respectively for basal area increment of tree model in spruce fir mixed forests of Changbai Mountains.【Conclusion】Shadow tolerance competition indexes (CIS/M2) had the highest fitting goodness.
Key words:  Changbai Mountains  spruce-fir conifer and broadleaf mixed stands  shadow tolerance competition indexes  distance-dependent competition indexes  distance-independent competition indexes  basal area growth at DBH