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Relocating croplands could drastically reduce the environmental impacts of global food production

AbstractAgricultural production has replaced natural ecosystems across the planet, becoming a major driver of carbon emissions, biodiversity loss, and freshwater consumption. Here we combined global crop yield and environmental data in a ~1-million-dimensional mathematical optimisation framework to determine how optimising the spatial distribution of global croplands could reduce environmental impacts whilst maintaining current crop production levels. We estimate that relocating current croplands to optimal locations, whilst allowing ecosystems in then-abandoned areas to regenerate, could simultaneously decrease the current carbon, biodiversity, and irrigation water footprint of global crop production by 71%, 87%, and 100%, respectively, assuming high-input farming on newly established sites. The optimal global distribution of crops is largely similar for current and end-of-century climatic conditions across emission scenarios. Substantial impact reductions could already be achieved by relocating only a small proportion of worldwide crop production, relocating croplands only within national borders, and assuming less intensive farming systems.
- Potsdam Institute for Climate Impact Research Germany
- Peking University China (People's Republic of)
- Peking University China (People's Republic of)
- Peking University China (People's Republic of)
- Peking University China (People's Republic of)
Carbon sequestration, 550, Adaptation to Climate Change in Agriculture, Economics, Agricultural engineering, Macroeconomics, Agricultural productivity, Agricultural and Biological Sciences, Engineering, GE1-350, Production (economics), 2 Zero Hunger, QE1-996.5, Global and Planetary Change, Global Analysis of Ecosystem Services and Land Use, Ecology, Life Sciences, Geology, Agriculture, Biodiversity, Crop Production, Sustainability, Physical Sciences, 12 Responsible Consumption and Production, Sustainable Diets and Environmental Impact, 570, 41 Environmental Sciences, Greenhouse gas, Mathematical analysis, 333, Environmental science, FOS: Mathematics, Ecosystem services, Ecological footprint, Crop yield, Agroforestry, Irrigation, Biology, Ecology, Evolution, Behavior and Systematics, Ecosystem, Distribution (mathematics), 4104 Environmental Management, Carbon footprint, Environmental sciences, Carbon dioxide, FOS: Biological sciences, Environmental Science, Mathematics
Carbon sequestration, 550, Adaptation to Climate Change in Agriculture, Economics, Agricultural engineering, Macroeconomics, Agricultural productivity, Agricultural and Biological Sciences, Engineering, GE1-350, Production (economics), 2 Zero Hunger, QE1-996.5, Global and Planetary Change, Global Analysis of Ecosystem Services and Land Use, Ecology, Life Sciences, Geology, Agriculture, Biodiversity, Crop Production, Sustainability, Physical Sciences, 12 Responsible Consumption and Production, Sustainable Diets and Environmental Impact, 570, 41 Environmental Sciences, Greenhouse gas, Mathematical analysis, 333, Environmental science, FOS: Mathematics, Ecosystem services, Ecological footprint, Crop yield, Agroforestry, Irrigation, Biology, Ecology, Evolution, Behavior and Systematics, Ecosystem, Distribution (mathematics), 4104 Environmental Management, Carbon footprint, Environmental sciences, Carbon dioxide, FOS: Biological sciences, Environmental Science, Mathematics
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).67 popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.Top 1% influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).Top 10% impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.Top 1%
