Hassegawa Mariana, Havreljuk Filip, Ouimet Rock, Auty David, Pothier David, Achim Alexis
Department of Wood and Forest Sciences, Laval University, Quebec City, Quebec, Canada.
Forest Research Division, Ministry of Forests, Wildlife and Parks, Quebec City, Quebec, Canada.
PLoS One. 2015 Aug 27;10(8):e0136674. doi: 10.1371/journal.pone.0136674. eCollection 2015.
Silvicultural restoration measures have been implemented in the northern hardwoods forests of southern Quebec, Canada, but their financial applicability is often hampered by the depleted state of the resource. To help identify sites most suited for the production of high quality timber, where the potential return on silvicultural investments should be the highest, this study assessed the impact of stand and site characteristics on timber quality in sugar maple (Acer saccharum Marsh.) and yellow birch (Betula alleghaniensis Britt.). For this purpose, lumber value recovery (LVR), an estimate of the summed value of boards contained in a unit volume of round wood, was used as an indicator of timber quality. Predictions of LVR were made for yellow birch and sugar maple trees contained in a network of more than 22000 temporary sample plots across the Province. Next, stand-level variables were selected and models to predict LVR were built using the boosted regression trees method. Finally, the occurrence of spatial clusters was verified by a hotspot analysis. Results showed that in both species LVR was positively correlated with the stand age and structural diversity index, and negatively correlated with the number of merchantable stems. Yellow birch had higher LVR in areas with shallower soils, whereas sugar maple had higher LVR in regions with deeper soils. The hotspot analysis indicated that clusters of high and low LVR exist across the province for both species. Although it remains uncertain to what extent the variability of LVR may result from variations in past management practices or in inherent site quality, we argue that efforts to produce high quality timber should be prioritized in sites where LVR is predicted to be the highest.
加拿大魁北克省南部的北方硬木森林已经实施了造林恢复措施,但其经济适用性常常受到资源枯竭状态的阻碍。为了帮助确定最适合生产高质量木材的地点(在这些地方造林投资的潜在回报应该是最高的),本研究评估了林分和立地特征对糖枫(Acer saccharum Marsh.)和黄桦(Betula alleghaniensis Britt.)木材质量的影响。为此,木材价值回收率(LVR),即单位体积原木中所含板材总价值的估计值,被用作木材质量的指标。对该省22000多个临时样地网络中的黄桦和糖枫树木的LVR进行了预测。接下来,选择林分水平变量,并使用增强回归树方法建立预测LVR的模型。最后,通过热点分析验证了空间聚类的存在。结果表明,在这两个树种中,LVR与林分年龄和结构多样性指数呈正相关,与可销售茎的数量呈负相关。黄桦在土壤较浅的地区LVR较高,而糖枫在土壤较深的地区LVR较高。热点分析表明,这两个树种在全省范围内都存在高LVR和低LVR的聚类。尽管LVR的变异性在多大程度上可能是由过去管理实践的差异或固有立地质量的差异导致的仍不确定,但我们认为,在预测LVR最高的地点,应优先努力生产高质量木材。