Montoro Girona Miguel, Rossi Sergio, Lussier Jean-Martin, Walsh Denis, Morin Hubert
Département des Sciences Fondamentales, Université du Québec à Chicoutimi, Chicoutimi, Québec, Canada.
Key Laboratory of Vegetation Restoration and Management of Degraded Ecosystems, Provincial Key Laboratory of Applied Botany, South China Botanical Garden, Chinese Academy of Sciences, Guangzhou, China.
PLoS One. 2017 Feb 21;12(2):e0172653. doi: 10.1371/journal.pone.0172653. eCollection 2017.
Forest ecosystem management heads towards the use of partial cuttings. However, the wide variation in growth response of residual trees remains unexplained, preventing a suitable prediction of forest productivity. The aim of the study was to assess individual growth and identify the driving factors involved in the responses of residual trees. Six study blocks in even-aged black spruce [Picea mariana (Mill.) B.S.P.] stands of the eastern Canadian boreal forest were submitted to experimental shelterwood and seed-tree treatments. Individual-tree models were applied to 1039 trees to analyze their patterns of radial growth during the 10 years after partial cutting by using the nonlinear Schnute function on tree-ring series. The trees exhibited different growth patterns. A sigmoid growth was detected in 32% of trees, mainly in control plots of older stands. Forty-seven percent of trees located in the interior of residual strips showed an S-shape, which was influenced by stand mortality, harvested intensity and dominant height. Individuals showing an exponential pattern produced the greatest radial growth after cutting and were edge trees of younger stands with higher dominant height. A steady growth decline was observed in 4% of trees, represented by the individuals suppressed and insensitive to the treatment. The analyses demonstrated that individual nonlinear models are able to assess the variability in growth within the stand and the factors involved in the occurrence of the different growth patterns, thus improving understanding of the tree responses to partial cutting. This new approach can sustain forest management strategies by defining the best conditions to optimize the growth yield of residual trees.
森林生态系统管理正朝着采用择伐的方向发展。然而,残留树木生长响应的广泛差异仍无法解释,这阻碍了对森林生产力的恰当预测。本研究的目的是评估个体生长情况,并确定残留树木响应中涉及的驱动因素。在加拿大东部北方森林的同龄黑云杉[Picea mariana (Mill.) B.S.P.]林分中设置了6个研究样地,进行了实验性的渐伐和留母树处理。对1039棵树应用单木模型,通过对年轮序列使用非线性施努特函数来分析它们在择伐后10年的径向生长模式。树木呈现出不同的生长模式。在32%的树木中检测到呈S形的生长,主要出现在老龄林分的对照样地中。位于残留带内部的47%的树木呈现出S形,这受到林分死亡率、采伐强度和优势高的影响。呈现指数生长模式的个体在采伐后径向生长最大,是优势高较高的年轻林分的边缘树木。在4%的树木中观察到生长稳步下降,这些树木是受抑制且对处理不敏感的个体。分析表明,个体非线性模型能够评估林分内生长的变异性以及不同生长模式出现所涉及的因素,从而增进对树木对择伐响应的理解。这种新方法可以通过确定优化残留树木生长量的最佳条件来维持森林管理策略。