FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W4386470016> ?p ?o ?g. }

• W4386470016 endingPage "e0000181" @default.
• W4386470016 startingPage "e0000181" @default.
• W4386470016 abstract "Most climate mitigation scenarios point to a combination of GHG emission reductions and CO 2 removal for avoiding the most dangerous climate change impacts this century. The global food system is responsible for ~1/3 of GHG emissions and thus plays an important role in reaching emission targets. Consumers, technology innovation, industry, and agricultural practices offer various degrees of opportunity to reduce emissions and remove CO 2 . However, a question remains as to whether food system transformation can achieve net negative emissions (i.e., where GHG sinks exceed sources sector wide) and what the capacity of the different levers may be. We use a global food system model to explore the influence of consumer choice, climate-smart agro-industrial technologies, and food waste reductions for achieving net negative emissions for the year 2050. We analyze an array of scenarios under the conditions of full yield gap closures and caloric demands in a world with 10 billion people. Our results reveal a high-end capacity of 33 gigatonnes of net negative emissions per annum via complete food system transformation, which assumes full global deployment of behavioral-, management- and technology-based interventions. The most promising technologies for achieving net negative emissions include hydrogen-powered fertilizer production, livestock feeds, organic and inorganic soil amendments, agroforestry, and sustainable seafood harvesting practices. On the consumer side, adopting flexitarian diets cannot achieve full decarbonization of the food system but has the potential to increase the magnitude of net negative emissions when combined with technology scale-up. GHG reductions ascribed to a mixture of technology deployment and dietary shifts emerge for many different countries, with areas of high ruminant production and non-intensive agricultural systems showing the greatest per capita benefits. This analysis highlights potential for future food systems to achieve net negative emissions using multifaceted “cradle-to-grave” and “land-to-sea” emission reduction strategies that embrace emerging climate-smart agro-industrial technologies." @default.
• W4386470016 created "2023-09-07" @default.
• W4386470016 creator A5001121924 @default.
• W4386470016 creator A5001796283 @default.
• W4386470016 creator A5019542117 @default.
• W4386470016 creator A5020373957 @default.
• W4386470016 creator A5023292813 @default.
• W4386470016 creator A5028720433 @default.
• W4386470016 creator A5046175530 @default.
• W4386470016 creator A5051795599 @default.
• W4386470016 creator A5056427982 @default.
• W4386470016 creator A5072170387 @default.
• W4386470016 creator A5074049715 @default.
• W4386470016 creator A5077093614 @default.
• W4386470016 creator A5083231322 @default.
• W4386470016 creator A5088300527 @default.
• W4386470016 creator A5091823146 @default.
• W4386470016 date "2023-09-06" @default.
• W4386470016 modified "2023-09-27" @default.
• W4386470016 title "Model-based scenarios for achieving net negative emissions in the food system" @default.
• W4386470016 cites W1565707212 @default.
• W4386470016 cites W1964700776 @default.
• W4386470016 cites W1982627164 @default.
• W4386470016 cites W1982681884 @default.
• W4386470016 cites W1985254824 @default.
• W4386470016 cites W1992730135 @default.
• W4386470016 cites W1998235224 @default.
• W4386470016 cites W2010923715 @default.
• W4386470016 cites W2013721288 @default.
• W4386470016 cites W2020023668 @default.
• W4386470016 cites W2022018300 @default.
• W4386470016 cites W2037561382 @default.
• W4386470016 cites W2062359547 @default.
• W4386470016 cites W2071452287 @default.
• W4386470016 cites W2082696666 @default.
• W4386470016 cites W2086710305 @default.
• W4386470016 cites W2101702311 @default.
• W4386470016 cites W2102753921 @default.
• W4386470016 cites W2104415853 @default.
• W4386470016 cites W2108744281 @default.
• W4386470016 cites W2110406941 @default.
• W4386470016 cites W2135280785 @default.
• W4386470016 cites W2136596893 @default.
• W4386470016 cites W2137258838 @default.
• W4386470016 cites W2143120269 @default.
• W4386470016 cites W2163657866 @default.
• W4386470016 cites W2164586753 @default.
• W4386470016 cites W2217163989 @default.
• W4386470016 cites W2257912703 @default.
• W4386470016 cites W2306028256 @default.
• W4386470016 cites W2330912520 @default.
• W4386470016 cites W2345902417 @default.
• W4386470016 cites W2515485802 @default.
• W4386470016 cites W2531773248 @default.
• W4386470016 cites W2607005861 @default.
• W4386470016 cites W2623842839 @default.
• W4386470016 cites W2766136866 @default.
• W4386470016 cites W2793102055 @default.
• W4386470016 cites W2806569362 @default.
• W4386470016 cites W2808681744 @default.
• W4386470016 cites W2889468088 @default.
• W4386470016 cites W2889872645 @default.
• W4386470016 cites W2895932308 @default.
• W4386470016 cites W2908252969 @default.
• W4386470016 cites W2909678677 @default.
• W4386470016 cites W2969592944 @default.
• W4386470016 cites W2971198215 @default.
• W4386470016 cites W3007722773 @default.
• W4386470016 cites W3015355998 @default.
• W4386470016 cites W3087786804 @default.
• W4386470016 cites W3135170646 @default.
• W4386470016 cites W3157377892 @default.
• W4386470016 cites W980940408 @default.
• W4386470016 doi "https://doi.org/10.1371/journal.pclm.0000181" @default.
• W4386470016 hasPublicationYear "2023" @default.
• W4386470016 type Work @default.
• W4386470016 citedByCount "0" @default.
• W4386470016 crossrefType "journal-article" @default.
• W4386470016 hasAuthorship W4386470016A5001121924 @default.
• W4386470016 hasAuthorship W4386470016A5001796283 @default.
• W4386470016 hasAuthorship W4386470016A5019542117 @default.
• W4386470016 hasAuthorship W4386470016A5020373957 @default.
• W4386470016 hasAuthorship W4386470016A5023292813 @default.
• W4386470016 hasAuthorship W4386470016A5028720433 @default.
• W4386470016 hasAuthorship W4386470016A5046175530 @default.
• W4386470016 hasAuthorship W4386470016A5051795599 @default.
• W4386470016 hasAuthorship W4386470016A5056427982 @default.
• W4386470016 hasAuthorship W4386470016A5072170387 @default.
• W4386470016 hasAuthorship W4386470016A5074049715 @default.
• W4386470016 hasAuthorship W4386470016A5077093614 @default.
• W4386470016 hasAuthorship W4386470016A5083231322 @default.
• W4386470016 hasAuthorship W4386470016A5088300527 @default.
• W4386470016 hasAuthorship W4386470016A5091823146 @default.
• W4386470016 hasBestOaLocation W43864700161 @default.
• W4386470016 hasConcept C118518473 @default.
• W4386470016 hasConcept C127413603 @default.
• W4386470016 hasConcept C132651083 @default.
• W4386470016 hasConcept C134560507 @default.

• next