Changes in structural heterogeneity and stand productivity by mixing Scots pine and Maritime pine

苏格兰松 种间竞争 生态学 树木异速生长 种内竞争 拦截 生物 生态系统 生态位分化 天蓬 优势(遗传学) 异速滴定 生物量(生态学) 物种多样性 生产力 栖息地 松属 植物 生物量分配 宏观经济学 经济 生物化学 基因
作者
José Riofrío,Miren del Rı́o,Hans Pretzsch,Felipe Bravo
出处
期刊:Forest Ecology and Management [Elsevier]
卷期号:405: 219-228 被引量:58
标识
DOI:10.1016/j.foreco.2017.09.036
摘要

Abstract Mixed-species stands have been studied extensively due to their potentially superior productivity, multi-functionality benefits and high ecological value compared to pure stands. The higher structural heterogeneity in mixed stands that can emerge from species interactions could be linked to the relationship between species diversity and ecosystem functions. We tested whether changes in stand structure also occur in mixtures of species with similar traits and whether they explain over-yielding patterns. Based on research with 12 triplets of Scots pine (Pinus sylvestris L.) and Maritime pine (Pinus pinaster Ait.) in the northern Iberian Peninsula (Spain), we provide evidence that species mixing increased structural heterogeneity and may induce over-yielding in mixed-species stands compared to monospecific stands. In this mixture of two light-demanding species, we observed that (i) stand composition influenced the inter-specific crown allometric variation, (ii) structural heterogeneity in mixed stands was caused by both specie-specific traits and species interactions, and (iii) intraspecific and interspecific differences in both crown size plasticity and size-distribution differentiation were associated with the increased relative productivity of mixed stands. We detected that crown complementarity and vertical stratification in the canopy space is a crucial mechanism for enhancing ecosystem productivity in light-demanding species and could be related to light interception and light-use. This work improves our understanding of emerging properties in mixed stands and introduces considerations for properly scaling and tracing mixing effects at individual tree, size distribution and stand levels.

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