西北林学院学报2017，Vol.32Issue(6)：184-189,6.DOI:10.3969/j.issn.1001-7461.2017.06.28
基于优势高模型分析多源数据对立地质量评价的影响
Effects of Multiple Source Data on Site Evaluation Based on Dominant Height Modeling
摘要
Abstract
Accurate evaluation on site quality is the premise for the scientific management of forest stands.In order to establish site index and site form models,different datum sources were employed to fit the dominant height growth.The models established were compared with other models that were used for the estimation of site quality.The models based on temporal and permanent sample plots gave overestimations for young forests and underestimations for mature forests.The guide curve estimated by stem analysis data was unable to explain the competition pressure at the young age.Considering the systematic error,multiple source data were used to constructed site evaluation models,to reveal the trends of dominant height growth.Extrapolation of these models was also validated.关键词
立地质量/多源数据/评价误差/秦岭Key words
Site quality/multiple source data/evaluation error/Qinling Mountains分类
农业科技引用本文复制引用
郭小阳,吴恒,田相林,韩福利,陈书军,曹田健..基于优势高模型分析多源数据对立地质量评价的影响[J].西北林学院学报,2017,32(6):184-189,6.基金项目
国家自然科学基金(31170586). （31170586）
