Data for:"FRESF model: An ArcGIS toolbox for rapid assessment of the supply, demand, and flow of flood regulation ecosystem servicess"

River floods are globally the most damaging and costliest natural disasters. The functions of nonstructural flood mitigation measures (e.g., water retention by vegetation and soil) provide critical regulation ecosystem services to human beings. For example, the Sponge Cities are national watershed management projects in China to increase the nonstructural flood regulation services, aiming to enable the urban ecosystem to absorb, infiltrate, and retain storm water to mitigate pluvial flooding. Decision-makers need to acquire critical areas for the supply, demand, and flow of flood regulation ecosystem services, which would affect the delivery of services and the distribution of any benefits among stakeholders. However, relatively few empirical studies present this information. One reason is the lack of appropriate methods and tools for a rapid assessment of flood regulation ecosystem services that do not require substantial resources or rely heavily on hydrological process data. This article presents the Flood Regulation Ecosystem Service Flow (FRESF) model to address this gap. FRESF is an open-access and open-source ArcGIS script toolbox for an integrated evaluation of flood regulation ecosystem services' supply, demand, and flow. Based on a land surface process model and a generic framework quantifying ecosystem services flow, FRESF provides a rapid and serviceable assessment framework for the relevant ecosystem services at a relatively low cost and effort. The validation results suggest that the outputs are moderately consistent with the actual flood conditions, compared with the flood disaster of the Yangtze River in 2020. Its open codes and flexible inputs imply that ecologists, planners, decision-makers, and developers involved in ecosystem services would have the opportunity to test and apply the FRESF model in several contexts and even contribute further improvements.

全球范围内，河流洪水是造成损失最大、代价最高的自然灾害。非结构性防洪缓解措施（例如，植被和土壤的水分保持功能）为人类提供了至关重要的调节生态系统服务。例如，海绵城市是中国国家级流域管理项目，旨在提升非结构性防洪调节服务，目标在于使城市生态系统能够吸收、渗透和保留暴雨径流，以缓解地表洪水。决策者需要获取防洪调节生态系统服务的供应、需求和流动的关键区域，这将影响服务的提供以及利益相关者之间任何利益的分配。然而，相对较少的实证研究提供了此类信息。其中一个原因是缺乏对防洪调节生态系统服务进行快速评估的适当方法和工具，这些工具不要求大量资源或过度依赖水文过程数据。本文提出了防洪调节生态系统服务流动（FRESF）模型以填补这一空白。FRESF是一个开源的ArcGIS脚本工具箱，用于对防洪调节生态系统服务的供应、需求和流动进行综合评估。基于地表过程模型和量化生态系统服务流动的通用框架，FRESF提供了一种快速且经济的评估框架，用于相关生态系统服务，成本和努力相对较低。验证结果表明，与2020年长江洪水灾害相比，其输出结果与实际洪水条件有中度一致性。其开放代码和灵活的输入意味着生态学家、规划者、决策者和参与生态系统服务的开发者将有机会在多个情境中测试和应用FRESF模型，甚至进一步贡献改进。