EPJSOIL SERENA WP3 T3.3 : France climatic and land use change modelling dataset (Saclay)

The internal EJP SOIL project SERENA contributed to the evaluation of soil multifunctionality aiming at providing assessment tools for land planning and soil policies at different scales. By co-working with relevant stakeholders, the project provided co-developed indicators and associated cookbooks to assess and map them, to report both on soil degradation, soil-based ecosystem services and their bundles, under actual conditions and for climate and land-use changes, at the regional, national, and European scales. Data aims to explore the effect of climate change according to different climate scenario up to 2050, and to understand the resistance of soil in response to climate change and different type of land use. Additionally, it aims to understand the relations between SES, and the main factors affecting Soil Ecosystem Services (SES) variations. Data has been produced by the SERENA team WP3 T3.3 France using JAVA-STICS 10.0.0 model and the STICSonR package, using the input files specified in the data. Results consit of the yearly data of SES calculated from the daily modeling from STICS. Because of the file size of daily results from STICS, such file are not part of the dataset. Input data and R scripts used are instead provided. Climatic data were obtained from SAFRAN climatic data provided by Météo-France and were downloaded via the SICLIMA platform developed by AgroClim-INRAE. Plants and fertilizers data come from default dataset from STICS. All input data are available as part of this dataset.内部EJP SOIL项目SERENA参与了土壤多功能性评估工作，旨在为不同尺度下的土地规划与土壤政策制定提供评估工具。通过与相关利益相关方协同合作，该项目开发了协同共建的评估指标及配套操作手册，用于指标的评估与制图，同时可针对实际情景以及气候变化与土地利用变化背景下，在区域、国家及欧盟尺度上，报告土壤退化、基于土壤的生态系统服务及其服务组合状况。 本数据集旨在探究截至2050年的不同气候情景下气候变化的影响，并解析土壤应对气候变化与不同土地利用类型的抗逆性。此外，本数据集还旨在厘清土壤生态系统服务（Soil Ecosystem Services, SES）间的相互关系，以及影响SES动态变化的主要驱动因子。本数据集由法国SERENA项目工作组WP3 T3.3团队编制，采用JAVA-STICS 10.0.0模型与STICSonR包，并使用数据集中指定的输入文件生成。研究结果包含基于STICS每日模拟结果计算得到的SES年度数据。由于STICS每日模拟结果的文件体积过大，此类文件未纳入本数据集；取而代之的是，本数据集提供了所使用的输入数据与R脚本文件。 气候数据源自法国气象局（Météo-France）提供的SAFRAN气象数据集，并通过由法国国家农业食品与环境研究院（AgroClim-INRAE）开发的SICLIMA平台下载获取。植物与肥料相关数据取自STICS的默认数据集。所有输入数据均作为本数据集的组成部分对外发布。