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随机分布的角尺度置信区间及其应用 被引量:15
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作者 胡艳波 惠刚盈 +3 位作者 王宏翔 李远发 赵中华 刘文桢 《林业科学研究》 CSCD 北大核心 2014年第3期302-308,共7页
角尺度通过描述相邻木围绕参照树的均匀性来进行林木水平分布格局的判定。研究分析80 000个模拟随机分布林分的角尺度均值的标准差(σ珚W)发现:随机分布林分的角尺度均值的标准差主要受模拟株数(N)的影响,模拟窗口的大小对其的影响可以... 角尺度通过描述相邻木围绕参照树的均匀性来进行林木水平分布格局的判定。研究分析80 000个模拟随机分布林分的角尺度均值的标准差(σ珚W)发现:随机分布林分的角尺度均值的标准差主要受模拟株数(N)的影响,模拟窗口的大小对其的影响可以忽略不计;模拟株数与角尺度均值的标准差关系极为紧密,表现为模拟株数越少,标准差越大,且标准差随着模拟株数的增加而变小,这种关系用幂函数σ珚W=0.210 34N-0.488 72能够很好地表达,相关指数R2高达0.998;研究基于统计学正态分布原理建立了随机分布林分角尺度均值置信区间,95%的置信限为0.5±1.96σ珚W=0.5±1.96×0.210 34N-0.488 72;99%的置信限为0.5±2.58σ珚W=0.5±2.58×0.210 34N-0.488 72;并有当林分或某一种群的林木分布的角尺度均值珚W在所建立的置信区间[珚WLd,珚WLu]内,即在相应的置信水平上判断为随机,若珚W>珚WLu时为团状分布,珚W<珚WLd时为均匀分布。这个与调查株数有关的判定标准的提出进一步完善了角尺度理论,并为林分空间结构参数角尺度在实践中的应用提供了简洁方法。 展开更多
关键词 林分结构 空间结构参数 角尺度 置信区间 格局检验方法
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Distribution Pattern Scale of Natural Toona ciliata Population
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作者 贺立 徐晓婷 《Agricultural Science & Technology》 CAS 2017年第4期700-703,723,共5页
In order to research the population distribution pattern of endangered species Toona ciliata Roem., the sampling quadrats of 5 mx5 m and 3 m×3 m in size, accurate to 1 mxl m, were established in 2 newly-found onl... In order to research the population distribution pattern of endangered species Toona ciliata Roem., the sampling quadrats of 5 mx5 m and 3 m×3 m in size, accurate to 1 mxl m, were established in 2 newly-found only existing T. cili- ata Roem. communities (T1 and T2) with contiguous grid quadrate method, in the Nanhe River valley, Gucheng County. By X2 test, t-test of distribution coefficient Cx method, and F test of Morisita pattern index Iδ whether the distribution patterns of the T. ciliata Roem. populations conformed to Poisson distribution were checked. The results indicated that, population T1 was in Poisson distribution under 5 m×5 m and 3 m×3 m in size by Cx and 16 methods, but in clumped distribution pattern un- der 5 m×5 m in size by the Chi-square test; however, the population was in Pois- son distribution under the dimension of 3 m×3 m. Population T2 under human dis- turbance had higher population density, indicating clumped distribution under 3 above-mentioned tests. If Chi-square test is satisfied, a distribution pattern is in Poisson distribution, and size and quantity of sampling quadrats should be given pri- ority to; and if df is greater, both theoretical values and observed values tend to- wards normal distribution more probably, and the test of distribution pattern, there- fore will be more dependable. 展开更多
关键词 Toona ciliata Roem. Natural population Distribution Pattern scale Testing method
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