用元胞自动机模拟红树林恢复

H. Huynh, Tin Trung Dang, Linh My Thi Ong, H. H. Luong, Nghia Duong-Trung, Tai Tan Phan, B. Pottier
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引用次数: 0

摘要

湄公河三角洲(越南)红树林的可持续性日益受到全国范围的关注。不幸的是,自然资源的过度开发、城市化、森林砍伐、农业、水产养殖和许多其他威胁导致红树林覆盖面积严重减少。尽管红树林只占三角洲表面的一小部分,但它们对当地生态系统的提供和三角洲的可持续性做出了重大贡献。因此,红树林的恢复需要在政策和研究方面作出强有力的协调努力。本研究通过描述几个环境因素,评估了通过元胞自动机(例如离散动力系统)模拟红树林恢复的潜力。影响红树林物种分布的两个最大的环境效应是叶面积指数(LAI)和涨潮。就自己的研究而言,应用方法是文献中研究的第一批努力之一。该研究在湄公河三角洲(越南)金茂省的Ong Trang岛进行。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Simulating Mangroves Rehabilitation with Cellular Automata
A nation-wide concern for the sustainability of mangrove forests in Mekong Delta (Vietnam) is increasingly recognized. Unfortunately, overexploitation of natural resources, urbanization, deforestation, agriculture, aquaculture and many other threats have caused a severe reduction of mangrove cover. Mangrove forests significantly contribute to the provision of local ecosystems and the Delta's sustainability, although they cover a small proportion of the Delta's surface. Therefore, the rehabilitation of mangrove forests demands strong coordinated efforts in terms of policy and research. This study evaluates the potential for simulating mangroves rehabilitation via cellular automata, e.g. a discrete dynamical system, by characterizing several environmental factors. Two of the largest environmental effects causing the distribution of species in mangrove forests are leaf area index (LAI) and flood-tide. To the best of own research, the applied methodologies are one of the first endeavors that have been investigated in the literature. The research has been conducted at Ong Trang islet, Ca Mau province, Mekong Delta (Vietnam).
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