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).

本数据集包含芒草（Miscanthus）的潜在产量，以及芒草种植所引发的土壤碳储量变化。本研究的核心目标为评估并对比多种建模技术，以分析能源作物缓解气候变化的潜力。
本次研究采用了三类不同的网格化全球模型：分别为陆面模型JULES（英国联合陆面环境模拟器，Joint UK Land Environment Simulator）、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，Integrated Model to Assess the Global Environment）。本次模拟情景采用了典型浓度路径（Representative Concentration Pathway, RCP）2.6的土地利用与气候学数据，研究聚焦于两个区域：2040-2049年的热带地区，以及2090-2099年的欧洲地区。
本数据集生成于英国自然环境研究委员会（NERC）资助的“基于碳捕获与封存的造林与生物质能源温室气体移除”（Feasibility of Afforestation and Biomass energy with carbon capture storage for Greenhouse Gas Removal, 缩写FAB GGR）项目，项目编号为NE/P019951/1。