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Quantifying interactions between topographic variability and forest structure.

量化地形变异性和森林结构之间的相互作用。

基本信息

批准号：
2843349
负责人：
金额：
--
依托单位：
Queen Mary University of London
依托单位国家：
英国
项目类别：
Studentship
财政年份：
2023
资助国家：
英国
起止时间：
2023 至无数据
项目状态：
未结题

来源：
https://gtr.ukri.org/projects?ref=studentship-2843349
关键词：
Quantifying interactions between topographic variability

项目摘要

Ecology's role in influencing landscape dynamics has been acknowledged since the late 19th century, yet adequately incorporating ecological factors into landscape models has proved elusive. Discrepancies between geomorphic and ecological research have resulted in generalisations of sediment transport processes that do not reflect natural systems. With increased climatic pressures affecting global forests, addressing these gaps in our understanding of forest structure and landscape response is necessary. Factors such as increasing temperatures, intense droughts, and limited water availability are changing forest functional composition, tree mortality, species composition, and maximum tree height, which in turn influences hillslope stability and soil production rates.Recent advances in remote sensing technologies and data processing have revolutionised the assessment of above-ground forest structure, functional diversity, and individual tree morphology. Terrestrial laser scanning (TLS) provides highly detailed three-dimensional representations of branch and canopy structures and terrain maps that reveal subtle variations in micro-topography.This PhD research aims to bridge the gap between geomorphological and ecological research by examining the role of ecosystem functioning in hillslope sediment transport. Using existing ecological TLS datasets from Europe, the relationships between climatic settings and forest functional diversity will be assessed to develop new numerical models of tree throw-induced sediment transport.

自19世纪末以来，生态学在影响景观动态方面的作用就已得到公认，但事实证明，将生态因素充分纳入景观模型中却很难实现。地貌和生态研究之间的不一致导致了对沉积物输运过程的概括，而不能反映自然系统。随着影响全球森林的气候压力的增加，有必要弥补我们对森林结构和景观反应的理解方面的这些差距。气温升高、严重干旱和有限的水分供应等因素正在改变森林的功能组成、树木死亡率、物种组成和最大树高，从而影响山坡稳定性和土壤生产率，遥感技术和数据处理的最新进展彻底改变了对森林地上结构、功能多样性和个体形态的评估。地面激光扫描（TLS）提供了非常详细的分支和冠层结构的三维表示和地形图，揭示微地形的细微变化。这项博士研究旨在通过研究生态系统功能在山坡沉积物输送中的作用，弥合地貌和生态研究之间的差距。使用现有的生态TLS数据集从欧洲，气候环境和森林功能多样性之间的关系进行评估，开发新的数值模型的树木投掷引起的泥沙输运。