A cellular automaton model for investigating landscape development in vegetated aeolian environments.

用于研究植被风沙环境中景观发展的元胞自动机模型。

基本信息

批准号：
NE/D521314/1
负责人：
Andreas Baas
金额：
$ 6.45万
依托单位：
King's College London
依托单位国家：
英国
项目类别：
Research Grant
财政年份：
2006
资助国家：
英国
起止时间：
2006 至无数据
项目状态：
已结题

来源：
https://gtr.ukri.org/projects?ref=NE%2FD521314%2F1
关键词：
cellular automaton model investigating landscape

项目摘要

Vegetation plays an important role in landscapes that are shaped by wind-driven (aeolian) sand transport, such as coastal dunes and semi-arid regions. We have a good knowledge of how and why different types of desert dunes and dune fields form without the presence of vegetation, but our understanding of the effects of vegetation in the formation of coastal foredunes, parabolic dunes, blowouts, and nebkha's (shrub hummocks) is limited to descriptive observations and reasoning. This is especially true for vegetated dune fields on a landscape scale, and the effects of various plant species on the evolution and dynamics of such environments are not quantified. This research project aims to develop a computer simulation model based on moving around slabs of sand across a grid of cells that represents a landscape surface including varying amounts of vegetation in each cell. These movements are controlled by a set of simple rules that dictate interactions between the existing surface, the vegetation in each cell, and the propagation of the sand slabs. This allows simulating the evolution of aeolian landscapes through self-organisation into different types of dune fields without actually modelling the complex airflow dynamics and sand transport patterns. Simulations will be compared with our current descriptive understanding of vegetated aeolian landscape development to ensure that the model generates realistic results. The model is then used to systematically investigate exactly how and why various kinds of plant species and vegetation patterns influence the dynamics of dune development in aeolian environments.

植被在由风驱动（风层）的沙子运输（例如沿海沙丘和半干旱地区）塑造的景观中起着重要作用。我们有很好的了解，为什么在没有植被的情况下形成不同类型的沙漠沙丘和沙丘田，但是我们对植被在沿海毛孔形成，抛物线沙丘，井喷，井喷和内布卡（Nebkha's）（灌木丛）（灌木丛）中的影响的理解仅限于描述性观察和推理。对于景观尺度上的植被沙丘田而言，尤其如此，并且未量化各种植物物种对这种环境的进化和动态的影响。该研究项目旨在开发一种计算机模拟模型，基于在围绕砂板围绕一个细胞网格移动的计算机仿真模型，代表景观表面，包括每个细胞中的植被数量不同。这些运动由一组简单的规则控制，这些规则决定了现有表面，每个细胞中的植被和砂板的传播之间的相互作用。这允许通过自我组织将风景的演变变成不同类型的沙丘场的演变，而无需实际对复杂的气流动力学和沙子传输模式进行建模。将将模拟与我们当前对植被的风景发展的描述性理解进行比较，以确保模型产生现实的结果。然后，该模型被用于系统地研究如何以及为什么各种植物物种和植被模式影响风险环境中的沙丘发展动力学。