Coastal freshwater wetlands (CFWs) are among the most understudied wetlands globally and are highly vulnerable to projected climate changes. To address CFW knowledge gaps in south-east Queensland, Australia, we surveyed the floristic composition and structure of wooded CFWs and explored variation in vegetation patterns in relation to selected environmental drivers. Understorey and shrub assemblages were surveyed using a cover-class scale and stem counts for tree species abundance. Vegetation structure attributes (stem density, basal area) were calculated from survey data. Redundancy analysis was used to investigate drivers of vegetation structure and the species composition of each stratum. Vegetation structure patterns were associated with gradients of rainfall, soil moisture, salinity and pH. Understorey species composition was associated with wallum wetland species, native perennial grass and herb species, and vegetation patterns of the canopy. Common CFW species, namely Melaleuca quinquenervia and Eucalyptus tereticornis, dominated tree assemblage variation. Overall, CFW vegetation exhibited strong associations with gradients of salinity, rainfall, groundwater dependence and disturbance. Alterations to key drivers of vegetation pattern with future climate changes are likely to markedly influence the composition, structure and function of CFW vegetation communities. Action is therefore required to maintain CFW vegetation communities and ecological function in these diverse and unique wetland systems.

沿海淡水湿地 (CFW) 是全球研究最少的湿地之一，极易受到预计的气候变化的影响。为了解决澳大利亚昆士兰东南部的 CFW 知识差距，我们调查了树木繁茂的 CFW 的植物区系组成和结构，并探索了与选定环境驱动因素相关的植被模式变化。使用覆盖等级和树种丰度的茎计数调查林下和灌木组合。根据调查数据计算植被结构属性（茎密度、基面积）。冗余分析用于研究植被结构的驱动因素和各层的物种组成。植被结构模式与降雨梯度、土壤湿度、盐度和 pH 值有关。下层物种组成与wallum 湿地物种、本地多年生草和草本物种以及冠层的植被模式有关。常见的CFW物种，即Melaleuca quinquenervia和Eucalyptus tereticornis，以树组合变异为主。总体而言，CFW 植被与盐度、降雨量、地下水依赖性和干扰梯度密切相关。未来气候变化对植被格局的关键驱动因素的改变可能会显着影响 CFW 植被群落的组成、结构和功能。因此，需要采取行动来维持这些多样化和独特的湿地系统中的 CFW 植被群落和生态功能。