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作 者:Jingying Fu Qiang Gao Gang Lin Dong Jiang Yanan Zhao Shuang Lue
机构地区:[1]Institute of Geographic Sciences and Natural Resources Research,Chinese Academy of Sciences,Beijing,China [2]College of Resources and Environment,University of Chinese Academy of Sciences,Beijing,China [3]Key Laboratory of Coupling Processes and Effects of Natural Resource Elements,Ministry of Natural Resources,Beijing,China [4]Key Laboratory of Carrying Capacity Assessment for Resource and Environment,Ministry of Natural Resources,Beijing,China [5]College of Geoscience and Surveying Engineering,China University of Mining and Technology(Beijing),Beijing,China
出 处:《Big Earth Data》2024年第3期566-586,共21页地球大数据(英文)
基 金:supported by the National Natural Science Foundation of China[41971250];the Postdoctoral Fellowship Program of CPSF[GZC20232621].
摘 要:Maximizing the development of renewable energy plays a critical role in mitigating the climate crisis.Marginal land provides space for the development of biomass energy;however,it remains unclear how the amount and spatial distribution of marginal land that is suitable for energy crop development will change in the future.Here,we project energy marginal land changes in China following the shared socioeconomic pathway(SSP)and/or repre-sentative concentration path(RCP).We provide datasets of mar-ginal land,agriculturally suitable land,and potentially suitable for energy crops under historical scenarios and six future scenarios(i.e.SSP1-1.9,SSP1-2.6,SSP4-3.4,SSP2-4.5,SSP4-6.0,and SSP3-7.0)for the period 2020-2100,with a spatial resolution of 5 km.Under the six scenarios,from 2020-2100,the area of suitable marginal land ranged from 1.90-16.28(Jatropha curcas L.)to 37.37-73.97(Panicum virgatum L.)(×10^(4)km^(2)),depending on the choice of energy crops and climate scenario.Based on the growing suitability of eight important bioenergy crops-Ricinus communis L.,Saccharum officinarum L.,Pistacia chinensis Bunge,Panicum virga-tum L.,Jatropha curcas L.,Miscanthus giganteus J.,Manihot esculenta Crantz,and Sorghum bicolor Moench-our dataset can be used to identify suitable locations for specific energy crops.This new syn-thetic dataset could support the development of multiscenariobased solutions related to carbon neutrality,ecosystem services,and energy transition.
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