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Global Change Biology
Article . 2016 . Peer-reviewed
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Article . 2017
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Assessing uncertainties in land cover projections

Authors: Carlo Lavalle; Shinichiro Fujimori; Robert Dunford; Tamás Krisztin; Atul K. Jain; Tom Powell; Andrzej Tabeau; +32 Authors

Assessing uncertainties in land cover projections

Abstract

AbstractUnderstanding uncertainties in land cover projections is critical to investigating land‐based climate mitigation policies, assessing the potential of climate adaptation strategies and quantifying the impacts of land cover change on the climate system. Here, we identify and quantify uncertainties in global and European land cover projections over a diverse range of model types and scenarios, extending the analysis beyond the agro‐economic models included in previous comparisons. The results from 75 simulations over 18 models are analysed and show a large range in land cover area projections, with the highest variability occurring in future cropland areas. We demonstrate systematic differences in land cover areas associated with the characteristics of the modelling approach, which is at least as great as the differences attributed to the scenario variations. The results lead us to conclude that a higher degree of uncertainty exists in land use projections than currently included in climate or earth system projections. To account for land use uncertainty, it is recommended to use a diverse set of models and approaches when assessing the potential impacts of land cover change on future climate. Additionally, further work is needed to better understand the assumptions driving land use model results and reveal the causes of uncertainty in more depth, to help reduce model uncertainty and improve the projections of land cover.

Countries
United States, United Kingdom, Germany
Keywords

Land cover, 550, Life on Land, Earth, Planet, Model inter-comparison, Climate, Climate Change, Cropland, Ecology and Environment, land cover, cropland, info:eu-repo/classification/ddc/550, Ecology, ddc:550, Uncertainty, land use, Earth, Biological Sciences, Plants, model inter-comparison, Climate Action, Earth sciences, Land use, Planet, Climate Change Impacts and Adaptation, Environmental Sciences, Forecasting

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download
citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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114
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6
298
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