Modelled Miscanthus yield and soil carbon change data for the tropics (2040-2049) and Europe (2090-2099)

This dataset contains potential yields of Miscanthus and changes to soil carbon storage resulting from Miscanthus cultivation. The purpose of this study was to evaluate and compare diverse modelling techniques for evaluating the potential of bioenergy crops to mitigate climate change. Three different types of gridded global models were used: a land surface model, JULES (the Joint UK Land Environment Simulator); a bioenergy crop model, MiscanFor; and an integrated assessment model, IMAGE (Integrated Model to Assess the Global Environment). The simulated scenario uses land use and climatology from RCP (Representative Concentration Pathway) 2.6 and focuses on two study areas: the tropics during 2040-49, and Europe during 2090-99. These data were generated as part of the NERC programme Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal (FAB GGR) (Grant NE/P019951/1).

本数据集收录了Miscanthus的潜在产量以及由于Miscanthus种植导致的土壤碳储存变化。本研究旨在评估和比较多种建模技术，以评估生物能源作物在缓解气候变化方面的潜力。研究采用了三种不同类型的网格化全球模型：地表模型JULES（联合英国陆地环境模拟器）、生物能源作物模型MiscanFor以及综合评估模型IMAGE（全球环境综合评估模型）。模拟情景采用RCP（代表性浓度路径）2.6的土地利用和气候数据，并聚焦于两个研究区域：2040-49年的热带地区和2090-99年的欧洲地区。这些数据作为NERC项目“造林与生物质能源及碳捕获储存用于温室气体清除的可行性”（FAB GGR，项目编号NE/P019951/1）的一部分而生成。