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（soil multifunctionality）的评估工作，旨在为不同尺度下的土地规划与土壤政策提供评估工具。本项目通过与相关利益相关方（stakeholders）协作，开发了配套的评估指标与操作手册，用于评估并绘制指标分布图，同时针对当前实际情景以及气候变化与土地利用变化情形，在区域、国家及欧洲尺度上报告土壤退化（soil degradation）、基于土壤的生态系统服务（soil-based ecosystem services, SES）及其服务束的相关情况。 本数据集旨在探究截至2050年不同气候情景下气候变化的影响，理解土壤应对气候变化与不同土地利用类型的抵抗力；此外，本数据集还旨在厘清土壤生态系统服务（Soil Ecosystem Services, SES）之间的关联，以及影响SES变化的主要因素。本数据集由法国SERENA团队WP3-T3.3工作组基于JAVA-STICS 10.0.0模型与STICSonR包，按照数据集内指定的输入文件生成。结果包含由STICS每日模拟计算得到的SES年度数据。鉴于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，取而代之的是提供了所用的输入数据与R脚本。 气候数据来源于法国气象局（Météo-France）提供的SAFRAN气候数据集，并通过由AgroClim-INRAE开发的SICLIMA平台下载获取。植物与肥料数据来自STICS的默认数据集。所有输入数据均作为本数据集的一部分对外提供。