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Ecological consequences of local tree interaction and individual tree sensitivity to stress events on the dynamic of beech-oak-forest stands

当地树木相互作用和个体树木对应激事件的敏感性对山毛榉-橡树-森林动态的生态影响

基本信息

批准号：
171225163
负责人：
Dr. Britt Kniesel
金额：
--
依托单位：
Professur für Forstliche Biometrie und Forstliche Systemanalyse
依托单位国家：
德国
项目类别：
Research Grants
财政年份：
2010
资助国家：
德国
起止时间：
2009-12-31 至 2015-12-31
项目状态：
已结题

来源：
https://gepris.dfg.de/gepris/projekt/171225163?language=en
关键词：
Ecological consequences local tree interaction

项目摘要

Recent studies show that the frequency and intensity of disturbance events, such as drought and frost, can strongly affect the composition and dynamics of plant communities. However, our current understanding of underlying ecological processes and how they interact with other stressors is very limited but crucial for predicting the consequences of changing disturbance and stress regimes. Therefore, the proposed project aims at gaining mechanistic understanding of how forests respond to disturbance regimes and stressors. For this, we will combine dendrochronological methods, point pattern analyses, individual-based modeling approaches, and modern statistical techniques for model selection in a comprehensive way. As study system, we will use beech-oak forests along a moisture gradient. Dendrochronological and wood anatomical analyses will provide information about individual growth responses of trees to environmental signals. In order to predict the consequences of such responses on forest stand level, individual-based simulation models will be used to test alternative assumptions on how trees interact locally, and modify their morphology and performance in response to competition and disturbances. The model that best explains the data will be used to predict accumulated effects of disturbances and stress on tree mortality and spatiotemporal patterns at the stand level. Our results will provide mechanistic insights into the potential of forests to buffer ongoing and expected changes in the climate regime and in particular the sequence and intensity of extreme climate events.

最近的研究表明，干旱和霜冻等干扰事件的频率和强度可以强烈影响植物群落的组成和动态。然而，我们目前对潜在的生态过程以及它们如何与其他应激源相互作用的理解非常有限，但对于预测干扰和应激机制变化的后果至关重要。因此，拟议的项目旨在从机械上了解森林如何对干扰机制和压力作出反应。为此，我们将结合树状年代学方法、点模式分析、基于个体的建模方法和现代统计技术进行全面的模型选择。作为研究系统，我们将使用沿湿度梯度的山毛榉-橡树林。树木年代学和木材解剖分析将提供有关树木对环境信号的个体生长反应的信息。为了预测这种反应对林分水平的影响，将使用基于个体的模拟模型来测试关于树木如何在当地相互作用的替代假设，并改变它们的形态和表现，以应对竞争和干扰。最能解释数据的模型将被用来预测干扰和胁迫对树木死亡和林分水平时空格局的累积影响。我们的结果将提供对森林缓冲气候制度持续和预期变化的潜力的机械性见解，特别是极端气候事件的顺序和强度。