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Assessing uncertainties in global cropland futures using a conditional probabilistic modelling framework

  • Kerstin Engström
  • Stefan Olin
  • Mark D A Rounsevell
  • Sara Brogaard
  • Detlef P. Van Vuuren
  • Peter Alexander
  • Dave Murray-Rust
  • Almut Arneth
Publishing year: 2016-11-17
Language: English
Pages: 893-915
Publication/Series: Earth System Dynamics
Volume: 7
Issue: 4
Document type: Journal article
Publisher: Copernicus Gesellschaft mbH

Abstract english

We present a modelling framework to simulate probabilistic futures of global cropland areas that are conditional on the SSP (shared socio-economic pathway) scenarios. Simulations are based on the Parsimonious Land Use Model (PLUM) linked with the global dynamic vegetation model LPJ-GUESS (Lund-Potsdam-Jena General Ecosystem Simulator) using socio-economic data from the SSPs and climate data from the RCPs (representative concentration pathways). The simulated range of global cropland is 893-2380 Mha in 2100 (± 1 standard deviation), with the main uncertainties arising from differences in the socio-economic conditions prescribed by the SSP scenarios and the assumptions that underpin the translation of qualitative SSP storylines into quantitative model input parameters. Uncertainties in the assumptions for population growth, technological change and cropland degradation were found to be the most important for global cropland, while uncertainty in food consumption had less influence on the results. The uncertainties arising from climate variability and the differences between climate change scenarios do not strongly affect the range of global cropland futures. Some overlap occurred across all of the conditional probabilistic futures, except for those based on SSP3. We conclude that completely different socio-economic and climate change futures, although sharing low to medium population development, can result in very similar cropland areas on the aggregated global scale.


  • Environmental Sciences related to Agriculture and Land-use


  • ISSN: 2190-4979
E-mail: stefan [dot] olin [at] nateko [dot] lu [dot] se

Postdoctoral fellow

Dept of Physical Geography and Ecosystem Science

+46 46 222 38 30



Department of Physical Geography and Ecosystem Science
Lund University
Sölvegatan 12
S-223 62 Lund

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