Ensemble of land and freshwater ecosystem services mapped for Lake Victoria’s catchment area, 2000-2022

This dataset presents modelled predictions (spanning 2000-2022) for several important ecosystem services in the Lake Victoria basin in eastern Africa. The catchment includes areas of Kenya, Tanzania, Uganda, Rwanda, and Burundi (196,883 sq. km, excluding Lake Victoria itself). The dataset variables include carbon storage across multiple land pools, erosion avoided by the presence of vegetation cover, nitrogen and phosphorus retention by the landscape, annual baseflow (subsurface contribution to river flow) and annual quickflow (surface runoff). These data were generated by UKCEH scientists using the Integrated Valuation of Ecosystem Services & Trade-offs (InVEST) platform of GIS models. The purpose of this dataset is to allow users to investigate how these ecosystems services vary spatially across the landscape and also how they may change over time. Users can also investigate where synergies and trade offs among different ecosystem services occur, which can help inform management decisions such as where to best target the planting of new trees for maximum environmental benefit.

The dataset comes in the form of 30, single-band geotiff raster files. For each of the six modelled variables, there five files (one file per year: 2000, 2005, 2010, 2015 and 2022), at 90 x 90 metre spatial resolution, using the ESRI:102022 - Albers for Africa equal area projection.

本数据集提供了非洲东部维多利亚湖流域内多项重要生态系统服务的模拟预测结果，时间跨度为2000年至2022年。该流域涵盖肯尼亚、坦桑尼亚、乌干达、卢旺达与布隆迪的部分区域，总面积达196883平方千米（不含维多利亚湖本体）。数据集包含的变量包括多土地碳库碳储量、植被覆盖所避免的土壤侵蚀量、景观持留的氮磷养分、年基流（地下水对河道径流的补给）以及年快速流（地表径流）。这些数据由英国生态与水文中心（UKCEH）科学家基于地理信息系统（GIS）模型平台生态系统服务综合评估与权衡（Integrated Valuation of Ecosystem Services & Trade-offs，简称InVEST）生成。本数据集旨在支持用户探究这些生态系统服务在景观空间上的分布差异，以及其随时间的变化趋势；同时可用于分析不同生态系统服务间的协同效应与权衡关系，从而为管理决策提供科学参考，例如确定最优植树区域以实现最大化的环境效益。
本数据集以30个单波段GeoTIFF栅格文件（GeoTIFF）的形式存储。针对6项模拟变量，每项变量对应5个年份（2000、2005、2010、2015及2022年）的文件，空间分辨率为90×90米，采用ESRI:102022——非洲阿尔伯斯等面积投影坐标系。