
You have already added 0 works in your ORCID record related to the merged Research product.
You have already added 0 works in your ORCID record related to the merged Research product.
<script type="text/javascript">
<!--
document.write('<div id="oa_widget"></div>');
document.write('<script type="text/javascript" src="https://beta.openaire.eu/index.php?option=com_openaire&view=widget&format=raw&projectId=undefined&type=result"></script>');
-->
</script>
Assessing uncertainties in land cover projections

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.
- Economic Research Service United States
- Free University of Amsterdam Pure VU Amsterdam Netherlands
- Vrije Universiteit Amsterdam Netherlands
- Pacific Northwest National Laboratory United States
- University of Edinburgh United Kingdom
Land cover, 550, Life on Land, Earth, Planet, Model inter-comparison, Climate, Climate Change, Cropland, Ecology and Environment, land cover, cropland, SDG 13 - Climate Action, SDG 2 - Zero Hunger, uncertainty, info:eu-repo/classification/ddc/550, Ecology, ddc:550, Uncertainty, land use, Earth, Biological Sciences, Plants, model inter-comparison, Climate Action, Environmental sciences, Biological sciences, Earth sciences, Land use, Planet, Climate Change Impacts and Adaptation, Environmental Sciences, Forecasting
Land cover, 550, Life on Land, Earth, Planet, Model inter-comparison, Climate, Climate Change, Cropland, Ecology and Environment, land cover, cropland, SDG 13 - Climate Action, SDG 2 - Zero Hunger, uncertainty, info:eu-repo/classification/ddc/550, Ecology, ddc:550, Uncertainty, land use, Earth, Biological Sciences, Plants, model inter-comparison, Climate Action, Environmental sciences, Biological sciences, Earth sciences, Land use, Planet, Climate Change Impacts and Adaptation, Environmental Sciences, Forecasting
