Comparing and Combining Stem Analysis and Permanent Sample Plot Data in Site Index Models
Comparing and Combining Stem Analysis and Permanent Sample Plot Data in Site Index Models
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DOI：
10.1093/forestscience/51.4.277
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发表时间：
2005-08
期刊：
影响因子：
1.4
通讯作者：
Oscar García
中科院分区：
文献类型：
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作者：
Oscar García
大多数站点索引模型要么是通过对永久样地的重复测量建立的，要么是通过使用通过干分析获得的数据建立的。有时两种类型的数据都可用。然后测试它们是否具有一致的高度-年龄趋势，并使用所有数据估计模型参数，这是很有趣的。有效的程序应该考虑到两个数据源之间错误模式的差异。提出了一种随机微分方程模型，该模型中趋势参数和误差参数可以取不同的值，也可以取共同的值。所有参数同时由最大似然估计，计算似然和似然比检验可用于比较模型变量和假设检验。这些方法应用于西班牙北部的Pinus pinaster种植园。对。科学。51(4): 277 - 283。
Most site index models are built either from repeated measurements on permanent sample plots or by using data obtained by stem analysis. Sometimes both types of data are available. It is then of interest to test them for consistent height-age trends, and to estimate model parameters using all the data. Efficient procedures should take into account the difference in error patterns between the two data sources. A stochastic differential equation model is proposed in which trend and error parameters can take either different or common values for various data groups. All parameters are simultaneously estimated by maximum-likelihood, and computed likelihoods and likelihood-ratio tests can be used for comparing model variants and for hypothesis testing. The methods are applied to Pinus pinaster plantations in northern Spain. FOR. SCI. 51(4):277–283.