Magnus Merkle

ORCID: 0000-0003-4526-0589
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About
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Research Areas
  • demographic modeling and climate adaptation
  • Climate change impacts on agriculture
  • Climate Change Policy and Economics
  • Land Use and Ecosystem Services
  • Energy, Environment, and Transportation Policies
  • Food Waste Reduction and Sustainability
  • Food Security and Health in Diverse Populations
  • Agriculture Sustainability and Environmental Impact
  • Sustainability and Climate Change Governance
  • Economics of Agriculture and Food Markets
  • Regional Development and Policy
  • Rural development and sustainability
  • Agriculture, Land Use, Rural Development
  • Innovative Approaches in Technology and Social Development
  • Energy, Environment, Economic Growth
  • Housing Market and Economics
  • Environmental Impact and Sustainability
  • Agricultural risk and resilience
  • Organic Food and Agriculture

Norwegian University of Life Sciences
2022-2024

University of Edinburgh
2020-2023

Food system resilience has multiple dimensions. We draw on food and concepts review framings of different communities. present four questions to frame (Resilience what? Resilience from whose perspective? for how long?) three approaches enhancing (robustness, recovery, reorientation—the “Rs”). focus outcomes argue this will require actors adapting their activities, noting that activities do not change spontaneously but in response a drivers: an opportunity or threat. However, operationalizing...

10.1146/annurev-environ-112320-050744 article EN Annual Review of Environment and Resources 2022-09-21

10.1038/s41597-024-03121-6 article EN cc-by Scientific Data 2024-09-18

The COVID-19 pandemic arrived at a time of faltering global poverty reduction and increasing levels diet-related diseases, both which have strong link to poor outcomes for those with COVID-19. Governments responded the by placing unprecedented restrictions on internal external movements, resulted in an economic contraction. In response shock, G20 governments committed providing US$14 trillion stimuli support recovery. We aimed assess impact different recovery paths human health,...

10.1016/s2542-5196(22)00144-9 article EN cc-by-nc-nd The Lancet Planetary Health 2022-07-01

Abstract Projecting the distribution of population is critical in supporting analysis impacts and risks associated with climate change. In this paper, we apply a computational algorithm parameterised for UK Shared Socioeconomic Pathway (UK-SSP) narratives to create 1-km gridded urban land use projections end twenty-first century. Using unimodal neighbourhood function, model heterogeneity sprawl patterns. The maps are used as weights downscaled projections. We undertake uncertainty using 500...

10.1007/s10113-022-01963-7 article EN cc-by Regional Environmental Change 2022-08-23

Abstract Socio‐economic scenarios such as the Shared Socioeconomic Pathways (SSPs) have been widely used to analyze global change impacts, but representing their diversity is a challenge for analytical tools applied them. Taking Great Britain an example, we represent set of stakeholder‐elaborated UK‐SSP scenarios, linked climate (Representative Concentration Pathways), in globally‐embedded agent‐based modeling framework. We find that distinct model components are required account divergent...

10.1029/2022ef002905 article EN cc-by Earth s Future 2022-10-11

Regional analyses of risks from climate change require reproducible, consistent and robust approaches to downscaling global socioeconomic scenarios, with coherent processes that work across multiple projects communities. We address this need by developing an iterative approach stakeholder-based Shared Socioeconomic Pathway (SSP) co-design, enabling us extend SSPs while maintaining their consistency sub-national scales. apply a set for the United Kingdom, broad range user-oriented scenario...

10.1016/j.crm.2022.100452 article EN cc-by Climate Risk Management 2022-01-01

The Shared Socioeconomic Pathways (SSPs) were developed as a framework for exploring alternative futures with challenges climate change mitigation and adaptation. Whilst originally at the global scale, SSPs have been increasingly interpreted national scale in order to inform level policy impact assessments, including adaptation actions. Here, we present set of quantitative SSP scenario projections, based on narratives semi-quantitative trends, UK (the UK-SSPs) wide range sectors that are...

10.1016/j.crm.2023.100506 article EN cc-by Climate Risk Management 2023-01-01

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10.2139/ssrn.4006905 article EN SSRN Electronic Journal 2022-01-01

We analyse the consequences of carbon price heterogeneity on households in The EU from 2010 to 2020.Accounting for both pricing across emission sources and indirect effects inter-industry linkages, we obtain two key findings.First, due widespread exemptions, household burdens are lower than previously estimated.Second, lower-income groups affected disproportionately, because they spend a smaller share their expenditure products that benefit exemptions higher-income counterparts.Therefore,...

10.5089/9798400280825.001 article EN IMF Working Paper 2024-07-01

Regional analyses of risks from climate change require reproducible, consistent and robust approaches to downscaling global socioeconomic scenarios, with coherent processes that work across multiple projects communities. We address this need by developing an iterative approach stakeholder-based Shared Socioeconomic Pathway (SSP) co-design, enabling us extend SSPs while maintaining their consistency sub-national scales. apply a set for the United Kingdom, broad range user-oriented scenario...

10.2139/ssrn.4010364 article EN SSRN Electronic Journal 2022-01-01

Earth and Space Science Open Archive This preprint has been submitted to is under consideration at Earth's Future. ESSOAr a venue for early communication or feedback before peer review. Data may be preliminary.Learn more about preprints preprintOpen AccessYou are viewing the latest version by default [v1]Agent-based modelling of alternative futures in British land use...

10.1002/essoar.10511449.1 preprint EN 2022-05-24
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