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首页> 外文期刊>Canadian Journal of Forest Research >Size-symmetric versus size-asymmetric competition and growth partitioning among trees in forest stands along an ecological gradient in central Europe
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Size-symmetric versus size-asymmetric competition and growth partitioning among trees in forest stands along an ecological gradient in central Europe

机译:欧洲中部沿生态梯度林分树木间大小对称与大小不对称的竞争和生长分配

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摘要

Current individual tree growth models rarely consider the mode of tree competition, which can be size-asymmetric when growth is limited by light or size-symmetric when belowground resources are scarce. Even with the same competition index, growth reactions may vary considerably due to a prevailing resource limitation, as the dominant trees in a stand benefit disproportionately more on light-limited sites. To scrutinize and model the relationship between mode of competition and site conditions, 34 long-term experiments with 120 plots dating back to 1871 were used. The data cover the dominating tree species in central Europe along a broad range of ecological conditions. For Norway spruce (Picea abies (L.) Karst.), Scots pine (Pinus sylvestris L.), and sessile oak (Quercus petrea (Matt.) Liebl.), stronger light competition can be shown on fertile sites compared with sites with poorer conditions. Based on these findings, we constructed an enhanced version of a classic potential modifier growth model. Simulations for archetypical stands yield a transition from size-asymmetric to size-symmetric competition along the gradient from fertile to poor sites that is not covered by traditional models. It was concluded that by integrating the interaction between competition and site quality, individual tree models become more site sensitive, a prerequisite for their application under fluctuating environmental conditions.
机译:当前的个体树木生长模型很少考虑树木竞争的模式,当树木的生长受到光线的限制时,树木竞争的大小可能是不对称的,而地下资源匮乏时,树木的大小可能是对称的。即使在相同的竞争指数下,由于主要资源的限制,生长反应也可能有很大差异,因为在受光限制的地点,林分中的优势树所获得的利益成比例地更大。为了研究竞争模式和场地条件之间的关系并建立模型,我们使用了34个长期实验,其中包括120块地块,可追溯到1871年。数据涵盖了中欧各种生态条件下的主要树种。对于挪威云杉(Picea abies(L.)Karst。),苏格兰松树(Pinus sylvestris L.)和无梗橡木(Quercus petrea(Matt.Liebl。)),与肥沃的地点相比,肥沃的地点表现出更强的光照竞争条件较差。基于这些发现,我们构建了经典潜在修饰因子增长模型的增强版本。对原型林的模拟产生了从不对称竞争到对称竞争的过渡,从传统模型无法涵盖的从肥沃到贫瘠的梯度。结论是,通过整合竞争和站点质量之间的相互作用,单个树模型变得对站点更敏感,这是在波动的环境条件下应用它们的前提。

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