PLUM global land use v1.2
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下载链接:
https://dataguru.lu.se/doi:10.18161/plum.201610
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资源简介:
Global land use data from PLUM1.2 (Parsimonious Land Use Model version 1.2), including auxiliary data such consumption and yield data, for the five scenarios/futures F1-F5 as described in detail in Engström et al. (2016).
The scenarios are based on the shared socio-economic pathways (SSPs). Scenario specific (depending on the likelihood of a SSP resulting in a representative concentrative pathway, RCP) yield time-series were created with LPJ-GUESS simulations and used as input to PLUM. The data provided here uses the mean yield for each scenario, i.e. the variability caused by different general circulation models (GCMs) is not included here (for details see Engström et al., 2016).
Here we provide global mean and standard deviation for outputs displayed in Engström et al. (2016). Country-level data as well as the model it-self can be provided on demand.
Engström, K., Olin, S., Rounsevell, M. D. A., Brogaard, S., van Vuuren, D. P., Alexander, P., Murray-Rust, D., and Arneth, A.: Assessing uncertainties in global cropland futures using a conditional probabilistic modelling framework, Earth System Dynamics Discussions, 1-33, 2016.
提供机构:
Lund university
创建时间:
2016-10-31
搜集汇总
数据集介绍

背景与挑战
背景概述
PLUM global land use v1.2数据集提供全球土地利用数据及辅助数据,基于五种情景和共享社会经济路径(SSPs),并使用了LPJ-GUESS模拟的产量时间序列作为输入。该数据集包含全球平均值和标准差,适用于Engström等人(2016)研究中描述的情景分析。
以上内容由遇见数据集搜集并总结生成



