Chair of Hydrology and River Basin Management, Technical University of Munich, Munich 80333, Germany.
Chair of Hydrology and River Basin Management, Technical University of Munich, Munich 80333, Germany.
Sci Total Environ. 2021 Jul 10;777:146062. doi: 10.1016/j.scitotenv.2021.146062. Epub 2021 Feb 25.
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.
冲积平原提供生态系统服务（ES）。它们的评估非常复杂，综合评估仍然是科学和实践面临的挑战。在过去的二十年中，已经发表了许多关于冲积平原 ES 货币价值的研究报告。由于 ES 是特定于地点的，我们专注于那些关于欧洲第二大河流域，即多瑙河流域（DRB）的研究。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与以前的荟萃分析有所不同？”和“空间数据库是否改善了荟萃分析？”在这种情况下，我们在 Scopus 和 Web of Science 上进行了系统综述，结合了“价值”、“ES”、“冲积平原”和“位置”四个主题。我们对多瑙河冲积平原的 ES 值进行了荟萃分析，根据 ES 类（供应、调节和文化）对不同的子组进行了分析，并根据校正的 Akaike 信息准则进行了模型选择。我们从 25 项研究中选择了 251 个条目来建立一个 PostgreSQL 空间数据库，该数据库提供了无限的可能性来丰富研究区域的信息。我们观察到，描述 DRB 冲积平原 ES 值的最重要变量取决于 ES 类，但通常水体和河岸景观的面积比例很重要，以及估值方法和相应河段的化学或生态状况。最后，我们提供了两种无条件效益转移函数版本来评估供应、调节和文化 ES。本文补充了以前进行的荟萃分析，以认识到评估 ES 的重要特征，并且是帮助确定多瑙河冲积平原 ES 价值的有效基础。
