为丹麦欧洲山毛榉(Fagus sylvatica L.)开发动态场地指数曲线

IF 1.5 4区 农林科学 Q2 FORESTRY Forest Science Pub Date : 2024-04-10 DOI:10.1093/forestscience/52.2.173
Thomas Nord-Larsen
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引用次数: 0

摘要

在基龄特定方法中,根据对永久样地数据的重复测量结果绘制样地曲线时,基龄和样 地指数的评估可能会遇到问题。在大多数情况下,这些数据不会包含所有样地共同的基龄测量值,因此必须采用某种内插法甚至外推法来解决这个问题。基龄不变方法具有理想的特性,即在估算曲线时无需事先任意假设地点指数的值。本文介绍了针对丹麦欧洲山毛榉(Fagus sylvatica L.)开发的基龄不变地点指数曲线,该曲线与永久样地数据相匹配。根据广义代数差分法,建立了具有可变渐近线的多态动态地点方程,并对模型参数进行了一阶序列相关性校正。
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Developing Dynamic Site Index Curves for European Beech (Fagus sylvatica L.) in Denmark
In base-age specific methodologies, assessment of base age and site index may be a problem when developing site curves from repeated measurements on permanent sample plot data. In most cases, such data will not contain measurements at any base age that is common for all the sample plots, and some sort of interpolation or even extrapolation would have to be applied to address this issue. Base-age invariant methodologies pose the desirable property of estimating the curves without prior arbitrary assumptions about values of the site indices. Presented here is the development of such base-age invariant site index curves for European beech (Fagus sylvatica L.) in Denmark, fitted to permanent sample plot data. The developed polymorphic dynamic site equations with variable asymptotes are based on the generalized algebraic difference approach, and the parameters of the model were estimated with correction for first-order serial correlation.
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来源期刊
Forest Science
Forest Science 农林科学-林学
CiteScore
2.80
自引率
7.10%
发文量
45
审稿时长
3 months
期刊介绍: Forest Science is a peer-reviewed journal publishing fundamental and applied research that explores all aspects of natural and social sciences as they apply to the function and management of the forested ecosystems of the world. Topics include silviculture, forest management, biometrics, economics, entomology & pathology, fire & fuels management, forest ecology, genetics & tree improvement, geospatial technologies, harvesting & utilization, landscape ecology, operations research, forest policy, physiology, recreation, social sciences, soils & hydrology, and wildlife management. Forest Science is published bimonthly in February, April, June, August, October, and December.
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