Wetland structure evolution is a basis of healthy ecosystem and one of the important indicators for restoration and protection of wetlands. In this paper, based on the Landsat remote sensing images from 1980 to 2020, the wetland structure was extracted by using the supervised classification method in the Dongping Lake. A CA–Markov Model was put forward to set up wetland transfer matrix and to improve the space and quantity of simulation results. The temporal-spatial evolution of the wetland and landscape indicators were studied, and the evolution trend as well as driving forces were analyzed. The studied results show that, in recent years, the wetland landscape pattern transfer were occurred continuously, in which the area of bare land significantly decreased, the infrastructure land use significantly increased, the natural water surface increased gradually. The studied landscape pattern indices show that the wetland landscape evenness index increased, the landscape diversity index tends to be decreased, the degree of wetland landscape fragmentation is basically balanced, but the overall trend is increasing, and the landscape diversity tends to be simple. At present, the area of wild reeds takes the dominant trend in the main wetland area, which accounts for 55% of the total wetland area. The proportion of forest and grass land area accounts for 9%.

湿地结构演化是健康生态系统的基础，是湿地恢复和保护的重要指标之一。本文基于1980-2020年Landsat遥感影像，采用监督分类法提取东平湖湿地结构。提出了CA-Markov模型建立湿地转移矩阵，提高了模拟结果的空间和数量。研究了湿地和景观指标的时空演变，分析了演变趋势和驱动力。研究结果表明，近年来，湿地景观格局转移不断发生，其中裸地面积明显减少，基础设施用地明显增加，天然水面逐渐增加。研究的景观格局指标表明，湿地景观均匀度指数呈上升趋势，景观多样性指数呈下降趋势，湿地景观破碎化程度基本平衡，但总体呈上升趋势，景观多样性趋于单一。目前，主要湿地面积以野生芦苇面积为主，占湿地总面积的55%。森林和草地面积占9%。景观多样性趋于简单。目前，主要湿地面积以野生芦苇面积为主，占湿地总面积的55%。森林和草地面积占9%。景观多样性趋于简单。目前，主要湿地面积以野生芦苇面积为主，占湿地总面积的55%。森林和草地面积占9%。