2020
DOI: 10.1016/j.gloenvcha.2020.102085
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Modelling food security: Bridging the gap between the micro and the macro scale

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Cited by 69 publications
(48 citation statements)
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“…The majority of districts and cities in Indonesia have good food resilience, even though there are still 81 districts (19.47%) and 7 cities (7.14%) in Indonesia that need to get a comprehensive handling regarding the food vulnerability (Gerintya, 2019). Achieving food security and nutrition for all people is a critical challenge during global change (Müller et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…The majority of districts and cities in Indonesia have good food resilience, even though there are still 81 districts (19.47%) and 7 cities (7.14%) in Indonesia that need to get a comprehensive handling regarding the food vulnerability (Gerintya, 2019). Achieving food security and nutrition for all people is a critical challenge during global change (Müller et al, 2020).…”
Section: Introductionmentioning
confidence: 99%
“…The first reason is that almost all large-to global-scale land system models share a single paradigm (economic optimisation of land uses), raising the risk of biases in model results and resultant, unrecognised knowledge gaps (e.g. Verburg et al 2019;Elsawah et al 2020;Müller et al 2020). The second reason is that different paradigms are known to produce very different outcomes, but for reasons that remain unclear (Prestele et al 2016;Alexander et al 2017).…”
Section: Discussionmentioning
confidence: 99%
“…In both models, the simulation of the European land system as distinct from the rest of the world requires implicit assumptions about conditions in other regions and their relationships to Europe. As conceptual alternatives, therefore, neither of these necessarily capture the true dynamics of food prices and production levels, which remains a major challenge for land system modelling Müller et al 2020).…”
Section: Discussionmentioning
confidence: 99%
“…In IAM, climate was first integrated into the macro-economic model by representation of carbon dioxide concentrations in the classical model of the long-run growth ( Nordhaus 1975 , 1977 , 1992 ). This model consists of combined data on the growth of crops, usage of soil and some other economic models ( Mendelsohn et al., 2016 ; Prinn et al., 1999 ; Fujino et al., 2006 ; Cai et al., 2020 ; Müller et al., 2020 ; Meijl et al., 2020 ). The IAM developed a single entity by using the cause and effect of change in climate and by collecting the knowledge from different disciplines into a single entity and ultimately developing a network of information for developing policies ( Dinar and Mendelsohn, 2011 ; Vanschoenwinkel et al., 2020 ).…”
Section: Introductionmentioning
confidence: 99%