计算植被生态学及其解决方案

初步提出了计算植被生态学这一新的生态学分支学科及其面向算法的计算机技术支持新方案,认为数据结构和算法研究是其核心研究内容之一.提出了按数学方法和计算机技术在生态学中的作用对现代生态学分支学科进行分类的MC划分方法,该方法能反映计算植被生态学的学科地位,其分类效果优于景观生态学时空尺度划分方法和应用生态学应用性-基础性划分方法.按照数据采集、存贮、分析和显示的流程分析了计算植被生态学的研究方法、研究内容及其主要支撑技术,认为计算植被生态学的建立有助于产生可被重复利用的生态学模型和算法,实现植被研究的计算机化,为区域可持续发展服务.

Computational Vegetation Ecology And Its Solutions

A new branch of ecology called computational vegetation ecology(CVE)) is proposed. Data structure and algorithm are considered as the core of its researches. The methodology, contents and supporting technologies are discussed according to the research flowchart of data collecting, storing, analyzing and displaying. The branches of modern ecology are also reclassified based on the degree of utilizing mathematical methods and computer technologies (MC classification method). Computational vegetation ecology will help producing replicable ecological models and algorithms, realize computerization of vegetation study,help serving regional sustainable development.