Floodplains provide ecosystem services (ES). Their evaluation is complex and integrative assessment remains challenging for sciences and practices. Studies have been published in the last two decades reporting ES monetary values of floodplains. Since ES are site-specific, we focus on those studies regarding the Europe's second largest river basin, namely the Danube River Basin (DRB). By analyzing these studies, we aim to answer the questions: “Do the significant predictor variables differ from previous meta-analyses?” and “Does the spatial database improve the meta-analysis?” In this context, we conducted a systematic review on Scopus and Web of Science combining the four themes “value”, “ES”, “floodplain”, and “location”. We conducted a meta-analysis of the Danube floodplains' ES values with different sub-groups based on the ES classes (provisioning, regulating, and cultural) and implemented model selection based on the corrected Akaike Information Criterion. We selected 251 entries from 25 studies to set up with a PostgreSQL spatial database, which provides limitless possibilities to enrich the information on the study areas. We observed that the most important variables to describe ES values of DRB floodplains depend on the ES class, but in general the area proportions of water bodies and riparian landscapes are important, together with the valuation method and the chemical or ecological status of the corresponding river section. Finally, we provided two versions of unconditional benefit-transfer functions to evaluate provisioning, regulating, and cultural ES. This paper complements previously conducted meta-analyses to recognize significant characteristics to value ES and it is a valid basis to help determine the ES value of Danube floodplains.

洪泛区提供生态系统服务（ES）。他们的评估很复杂，综合评估对科学和实践仍然具有挑战性。在过去的二十年中已经发表了研究，报道了洪泛区的ES货币价值。由于ES是针对特定地点的，因此我们专注于有关欧洲第二大流域，即多瑙河流域（DRB）的那些研究。通过分析这些研究，我们旨在回答以下问题：“重要的预测变量是否不同于先前的荟萃分析？” 和“空间数据库是否改善了荟萃分析？” 在这种情况下，我们对Scopus和Web of Science进行了系统回顾，结合了“价值”，“ ES”，“泛滥”和“位置”这四个主题。我们对多瑙河漫滩进行了荟萃分析 根据ES类别（供应，监管和文化），将不同子类别的ES值分类，并根据经修订的Akaike信息准则实施模型选择。我们从25个研究中选择了251个条目来建立PostgreSQL空间数据库，这为丰富研究领域的信息提供了无限的可能性。我们观察到，描述DRB洪泛区ES值的最重要变量取决于ES类别，但总的来说，水体和河岸景观的面积比例以及相应的河流的评估方法和化学或生态状况都很重要。部分。最后，我们提供了两种版本的无条件利益转移功能来评估供应，监管和文化ES。