Modelled potential carbon storage based on land cover and published carbon storage values in urban landscapes of the South Midlands

This dataset shows potential carbon storage as modelled for the urban areas of Milton Keynes/Newport Pagnell, Bedford, and Luton/Dunstable, UK. The modelling approach used the ‘InVEST (Integrated Valuation of Ecosystem Services and Trade-offs) 3.1.0’ ecosystem service model suite, raster land cover maps at two spatial resolutions (5 m and 25 m) and published literature values for carbon storage by land cover. The resulting data are presented in the form of two ‘GeoTIFF’ raster map files (and associated metadata and spatial information files required by software) that can be viewed and manipulated in Geographic Information Software. The units are kg C per square meter. The purpose of the modelling was to help assess and visualise the value that urban green space represents to urban residents and natural systems in just one of many ecosystem services. This research was conducted as part of the larger 'Fragments, Functions, Flows and Urban Ecosystem Services' (F3UES) programme. Detailed methods and results of this analysis are published in: Grafius DR, Corstanje R, Warren PH, et al (2016) The impact of land use/land cover scale on modelling urban ecosystem services. Landsc Ecol 31:1509–1522. doi: 10.1007/s10980-015-0337-7. Full details about this dataset can be found at https://doi.org/10.5285/9209af2c-24f6-4e37-98fe-550032e97a2c本数据集模拟并展示了英国米尔顿凯恩斯/纽波特帕格内尔、贝德福德以及卢顿/邓斯特布尔城区的潜在碳储量。本次建模采用了生态系统服务与权衡综合评估模型（InVEST，Integrated Valuation of Ecosystem Services and Trade-offs）3.1.0生态系统服务模型套件，使用了两种空间分辨率（5米与25米）的栅格土地覆盖图，以及已发表的不同土地覆盖类型碳储量文献值。最终得到的数据以两份"GeoTIFF"栅格地图文件（及地理信息软件所需的关联元数据与空间信息文件）形式呈现，可在地理信息软件中查看与操作。数据单位为每平方米千克碳（kg C/m²）。本次建模的核心目的是助力评估与可视化城市绿地对城市居民及自然系统的价值，而这仅是众多生态系统服务中的一类。本研究作为大型项目"碎片、功能、流动与城市生态系统服务（Fragments, Functions, Flows and Urban Ecosystem Services，简称F3UES）"的一部分开展。本次分析的详细方法与结果已发表于：Grafius DR、Corstanje R、Warren PH 等（2016）《土地利用/土地覆盖尺度对城市生态系统服务建模的影响》，《景观生态学》（Landsc Ecol）31卷：1509–1522，DOI: 10.1007/s10980-015-0337-7。本数据集的完整详情可访问：https://doi.org/10.5285/9209af2c-24f6-4e37-98fe-550032e97a2c