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Assessing uncertain...
Assessing uncertainties in global cropland futures using a conditional probabilistic modelling framework
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- Engström, Kerstin (författare)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Olin, Stefan (författare)
- Lund University,Lunds universitet,Institutionen för naturgeografi och ekosystemvetenskap,Naturvetenskapliga fakulteten,Dept of Physical Geography and Ecosystem Science,Faculty of Science
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- Rounsevell, Mark D A (författare)
- University of Edinburgh
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- Brogaard, Sara (författare)
- Lund University,Lunds universitet,LUCSUS,Samhällsvetenskapliga institutioner och centrumbildningar,Samhällsvetenskapliga fakulteten,LUCSUS (Lund University Centre for Sustainability Studies),Departments of Administrative, Economic and Social Sciences,Faculty of Social Sciences
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- Van Vuuren, Detlef P. (författare)
- Utrecht University
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- Alexander, Peter (författare)
- University of Edinburgh
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- Murray-Rust, Dave (författare)
- University of Edinburgh
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- Arneth, Almut (författare)
- Karlsruhe Institute of Technology
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(creator_code:org_t)
- 2016-11-17
- 2016
- Engelska 23 s.
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Ingår i: Earth System Dynamics. - : Copernicus GmbH. - 2190-4979 .- 2190-4987. ; 7:4, s. 893-915
- Relaterad länk:
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http://dx.doi.org/10... (free)
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https://www.earth-sy...
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https://lup.lub.lu.s...
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https://doi.org/10.5...
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Abstract
Ämnesord
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- 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.
Ämnesord
- LANTBRUKSVETENSKAPER -- Annan lantbruksvetenskap -- Miljö- och naturvårdsvetenskap (hsv//swe)
- AGRICULTURAL SCIENCES -- Other Agricultural Sciences -- Environmental Sciences related to Agriculture and Land-use (hsv//eng)
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