稳健性(进化)
树(集合论)
竞赛(生物学)
体积热力学
航程(航空)
环境科学
林业
统计
自然地理学
数学
计量经济学
地理
生态学
工程类
生物
物理
基因
量子力学
生物化学
数学分析
航空航天工程
作者
Rubén Manso,Rachael Davidson,J. Paul McLean
出处
期刊:Forestry
日期:2021-11-13
卷期号:95 (3): 391-404
被引量:7
标识
DOI:10.1093/forestry/cpab049
摘要
Abstract The British forestry sector lacks reliable dynamic growth models for stands of improved Sitka spruce, the most important commercial forest type in Great Britain. The aim of this study is to fill this gap by trialling a new modelling framework and to lay the foundations of a future dynamic growth simulator for that forest type. First, we present single tree diameter and height increment models that are climate sensitive and include explicit competition effects. The predictions from the increment models are pooled to project diameter and height at a given age. These projections are then used as inputs to an integrated taper model from which stochastic tree volume predictions are obtained. Retrospective data from over 1400 trees collected in two extensive genetic trials in Scotland and Wales were used for the purposes of this study. Diameter increment and height increment predictions were highly accurate and diameter and height projections proved consistent. The predicted volume at the time of harvesting also exhibited a high degree of accuracy, which shows the robustness of our approach. Further data will be needed in the future to recalibrate the present models and extend their range of validity to the whole of Great Britain.
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