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摘要: 许多生长模型含有年龄因子。由于一方面年龄测定困难，另一方面在异龄林中林木的年龄意义不大，导致以年龄为自变量的生长模型在应用中遇到困难。针对森林资源连续清查体系中具有大量重复观测样木数据，但无年龄数据的实际情况，探讨将有年龄模型应用于无年龄情况，为将已有的有年龄生长模型用于森林资源连续清查数据的更新和预测做准备。用浙江省丽水市龙泉市的9株马尾松Pinus massoniana解析木数据建立有年龄的胸径生长模型，然后用丽水市森林资源连续清查体系中重复观测的马尾松固定样木数据进行无年龄情况应用研究。分单点估计和双点估计2种方式进行了试验，单点估计是用前期数据估计理论年龄然后估计后期胸径，双点估计是用前2期数据估计理论年龄和生长指数，然后用于后期胸径的估计。结果表明：单点估计和双点估计的精度都比直接用年龄的高，尤其双点估计具有更高的精度和适应性，它完全可以用于森林资源连续清查数据的更新和预测。图2表5参14
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关键词:
- 森林测计学 /
- 有年龄生长模型 /
- 年龄隐含的生长模型 /
- 有年龄模型无年龄应用 /
- 森林资源连续清查
Abstract: Many growth models use age as an independent variable；however，many times ages are not only hard to measure but also not meaningful，especially in an uneven-aged stand. This study used the Continuous Forest Inventory （CFI） to test tree characteristics not based on age to determine if an age-based model could be used in no-age conditions. Tree data from nine Pinus massoniana of Longquan County，Lishui City，Zhe-jiang Province，China were used to build an age-based diameter at breast height （DBH） growth model. Then DBH data was updated in the CFI for all of Lishui City. Two methods were employed：a single point method （SP） that used a former DBH datum to estimate an age which then estimated its later DBH，and a two-point method （TP） that used two former DBH data to estimate an age and a growth index （GI） which were then used to estimate its later DBH. Results showed that both SP and TP had better accuracy than directly using the age-based model. Also，TP was more adaptive and behaved better than SP. Thus，age-based models could be used in CFI where DBH data are available but no ages.［Ch，2 fig. 5 tab. 14 ref.］ -
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链接本文:
https://zlxb.zafu.edu.cn/article/doi/10.11833/j.issn.2095-0756.2012.06.013
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