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首页> 外文期刊>Scandinavian Journal of Forest Research >Using landscape preference models and tree-scale measurements to predict stand quality
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Using landscape preference models and tree-scale measurements to predict stand quality

机译:使用景观偏好模型和树尺测量来预测立场质量

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摘要

Scenic beauty estimation (SBE) models that quantify landscape aesthetics through picture-based questionnaires are complicated to develop. Therefore, precise, simple, and widely applicable models of SBE prediction based on tree and stand measurements must be developed. To investigate the application of tree- and stand-based SBE models to Chinese fir forest management, the relationships between diameter at breast height (DBH) and tree height (H) measurements and tree- (T-SBE) and stand (S-SBE)-based SBE predictions were assessed. T-SBE and S-SBE were strongly influenced by DBH and H measurements according to either a power function or linear function, depending on the variables. When the mean stand DBH was less than 8.4 cm or H was less than 9.8 m, dense canopies resulted in negative S-SBE residuals. In stands with large trees and non-dense canopies, the residuals of S-SBE were positive. We conclude that average H and DBH measurements within a stand can be used to predict S-SBE by extrapolating the tree-based SBE model to form a stand-based SBE model. Therefore, SBE models based on individual tree measurements can provide quantitative guidance for forest landscape quality planning and evaluation.
机译:通过基于图片的问卷量化景观美学的风景美容估算(SBE)模型是复杂的。因此,必须开发基于树木和站点测量的精确,简单和广泛适用的SBE预测模型。要调查基于树木和站立的SBE模型对中国冷杉森林管理的应用,乳房高度(DBH)和树高(H)测量和树(T-SBE)和架子之间的直径之间的关系(S-SBE )基于SBE预测评估。根据功率函数或线性函数,T-SBE和S-SBE强烈影响DBH和H测量,具体取决于变量。当平均支架DBH小于8.4厘米或小时时小于9.8米,致密的檐篷导致负面的S-SBE剩余物。在大型树木和非密集的檐篷的架子中,S-SBE的残留量是积极的。我们得出结论,通过推断基于树的SBE模型来形成平均值H和DBH测量来预测S-SBE以形成基于树的SBE模型。因此,基于单个树测量的SBE模型可以为森林景观质量规划和评估提供定量指导。

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