含羞草沿时间序列的高度生长策略

V. Cysneiros, S. Machado, A. Pelissari, E. Urbano
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引用次数: 0

摘要

评估树木异速生长的变化有助于理解与生活史轨迹、光照竞争和环境限制有关的高度生长策略。从树高-径(HD)模型中获得的尺度指数和渐近高度可以阐明树木如何优化生长策略以及影响树高的潜在驱动因素。我们的主要目的是探讨含羞草(Mimosa scabrella)的HD关系是如何随着时间顺序和生活史的变化而变化的。这项研究是在巴西南部库里蒂巴市区的不连续林分进行的。我们使用了300个临时样地的HD数据,这些数据来自于干扰后的时间序列,代表了干预后的林分发育,涵盖了该物种的生活史。幂和指数模型拟合数据来描述HD随时间的关系。采用混合效应模型解释林分特征对林分高度变化的影响。结果表明,林分发育阶段和林分生命阶段沿时间顺序对树高和异速生长有影响。树高的变化还受到与某些林分特征(如基面积、茎密度和物种多样性)相关的光竞争的驱动。我们的结论是,生长策略是由树木生活史上的光需求和演替林分进化之间的相互作用决定的。结果表明,树木发育的逐渐变化可能通过沿时间序列的平稳数据来识别。量化HD异速变化具有生态和实际应用价值,可以解释树木生长的策略和驱动因素,并为改进生长存量预测和林分管理提供有用的知识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Height growth strategies of Mimosa scabrella along a chronosequence
Assessing variations in tree allometry is useful for understanding height growth strategies in relation to life-history trajectories, light competition and environmental restrictions. Scaling exponent and asymptotic heights obtained from height–diameter (HD) models may elucidate how trees optimise growth strategies and the potential drivers that influence tree height. Our main objective was to explore how the HD relationship in Bracatinga (Mimosa scabrella) varies along stands chronosequence and life history. The study was carried out in discontinuous stands located across the metropolitan region of Curitiba, southern Brazil. We used HD data from 300 temporary plots in chronosequences dating from a disturbance, which represented stand development after intervention, covering the life history of the species. Power and exponential models were fitted to data to describe the HD relationship over time. Mixed-effects models were applied to explain the height variations by stand characteristics. We found that tree height and allometry were influenced by stand development phase and tree life stage along the chronosequence. Changes in tree height were also driven by light competition related to certain stand characteristics, such as basal area, stem density and species diversity. We concluded that growth strategies are conditioned by interactions between light requirements along a tree’s life history and successional stand evolution. The results revealed that gradual changes in tree development might be recognised by stationary data along chronosequences. Quantifying changes in HD allometry has ecological and practical applications for explaining the strategies and drivers underpinning tree growth and providing useful knowledge for improving growing stock predictions and stand management.
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