Growth models for tropical forests: a synthesis of models and methods
Growth models for tropical forests: a synthesis of models and methods
复制标题
DOI：
10.1093/forestscience/41.1.7
复制
发表时间：
1995-02
期刊：
影响因子：
1.4
通讯作者：
J. Vanclay
中科院分区：
文献类型：
--
作者：
J. Vanclay
热带森林可能有许多物种，不确定的年龄，以及广泛的生长习性和树干大小，因此需要特殊的建模技术。但技术只是模型质量的一部分，而且在很大程度上取决于校准数据的质量。全林分模型在这些森林中的实用性有限，因为很难用很少的林分水平变量来充分描述森林。如果有汇总的林分数据，计算机资源有限，但所需的许多类别会影响该方法，则林分表投影可能是有用的。当林分密度和营林措施保持在一个很小的范围内，但在一般情况下不能成立时，矩阵方法是适用的。树形列表模型提供了更大的灵活性，能够在各种条件下进行预测，并提供不同的信息。生长方程可以预测断面积或直径的生长或产量，但应确保对所有树的大小、位置和林分条件进行可靠的预测。死亡率可以用适合于个体树木数据的Logistic函数来建模。更新模型在物种较多的地方比较复杂，两阶段招募模型可能更实用。模型的价值在于它被投入的用途，因此模型应该易于使用，有良好的文档记录，并随时可用。
Tropical forests may have many species, indeterminate ages, and a wide range of growth habits and stem sizes, and thus require special modeling techniques. But technique contributes only part of model quality, and much depends on the quality of calibration data. Whole stand models have limited utility in these forests, as it is hard to describe the forest adequately with few stand-level variables. Stand table projection may to be useful where summarized stand data are available and computer resources are limited, but the many classes required detract from the method. Matrix methods are suitable where stand density and silvicultural practices remain within a narrow range, but are untenable for general conditions. Tree list models offer greater flexibility, enable projections under a wide range of conditions and provide diverse information. Increment equations may predict growth or yield of basal area or diameter but should ensure reliable predictions over all tree sizes, sites and stand conditions. Mortality may be modelled with logistic functions fitted to individual tree data. Regeneration models are complex where there are many species, and two-stage recruitment models may be more practical. The value of a model is in the use to which it is put, so models should be easy to use, well documented and readily available.