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  Quantifying synergies and trade-offs in the global water-land-food-climate nexus using a multi-model scenario approach

Doelman, J. C., Beier, F., Stehfest, E., Bodirsky, B. L., Beusen, A. H. W., Humpenöder, F., Mishra, A., Popp, A., van Vuuren, D. P., de Vos, L., Weindl, I., van Zeist, W.-J., Kram, T. (2022): Quantifying synergies and trade-offs in the global water-land-food-climate nexus using a multi-model scenario approach. - Environmental Research Letters, 17, 4, 045004.
https://doi.org/10.1088/1748-9326/ac5766

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 Creators:
Doelman, Jonathan C.1, Author
Beier, Felicitas2, Author              
Stehfest, Elke1, Author
Bodirsky, Benjamin Leon2, Author              
Beusen, Arthur H. W.1, Author
Humpenöder, Florian2, Author              
Mishra, Abhijeet2, Author              
Popp, Alexander2, Author              
van Vuuren, Detlef P.1, Author
de Vos, Lotte1, Author
Weindl, Isabelle2, Author              
van Zeist, Willem-Jan1, Author
Kram, Tom1, Author
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1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Abstract: The human-earth system is confronted with the challenge of providing a range of resources for a growing and more prosperous world population while simultaneously reducing environmental degradation. The Sustainable Development Goals and the Planetary Boundaries define targets to manage this challenge. Many of these are linked to the land system, such as biodiversity, water, food, nutrients and climate, and are strongly interconnected. A key question is how measures can be designed in the context of multi-dimensional sustainability targets to exploit synergies. To address this, a nexus approach is adopted that acknowledges the interconnectedness between the important sub-systems water, land, food, and climate. This study quantifies synergies and trade-offs from ambitious interventions in different components of this Water-Land-Food-Climate nexus at the global scale. For this purpose, a set of six harmonized scenarios is simulated with the MAgPIE and IMAGE models. The multi-model approach improves robustness of the results while shedding light on variations coming from different modelling approaches. Our results show that measures in the food component towards healthy diets with low meat consumption have synergies with all other nexus dimensions: Increased natural land improving terrestrial biodiversity (+4% to +8%), lower greenhouse gas emissions from land (-45% to -58%), reduced irrigation water withdrawals to protect or restore hydrological environmental flows (-3% to -24%), and reductions in nitrogen surpluses (-23% to -35%). Climate mitigation measures in line with the Paris Agreement have trade-offs with the water and food components of the nexus, as they adversely affect irrigation water withdrawals (+5% to +30% in 2050 compared to reference scenario) and food prices (+1% to +20%). The analysis of a scenario combining all measures reveals how certain measures are in conflict while others reinforce each other. This study provides an example of a nexus approach to scenario analysis providing input to the next generation of pathways aiming to achieve multiple dimensions of sustainable development.

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 Dates: 2022-02-212022-03-102022-03-10
 Publication Status: Finally published
 Pages: -
 Publishing info: -
 Table of Contents: -
 Rev. Type: Peer
 Identifiers: MDB-ID: yes - 3305
DOI: 10.1088/1748-9326/ac5766
PIKDOMAIN: RD2 - Climate Resilience
PIKDOMAIN: RD3 - Transformation Pathways
Organisational keyword: RD2 - Climate Resilience
Organisational keyword: RD3 - Transformation Pathways
Working Group: Land Use and Resilience
Research topic keyword: Land use
Research topic keyword: Food & Agriculture
Research topic keyword: Mitigation
Research topic keyword: Freshwater
Research topic keyword: Biodiversity
Regional keyword: Global
Model / method: MAgPIE
Model / method: Model Intercomparison
OATYPE: Gold Open Access
 Degree: -

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Title: Environmental Research Letters
Source Genre: Journal, SCI, Scopus, p3, oa
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Pages: - Volume / Issue: 17 (4) Sequence Number: 045004 Start / End Page: - Identifier: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/150326
Publisher: IOP Publishing