Quantifying the Safe Operating Space for Land‐System SDG Achievement via Machine Learning and Scenario Discovery

Abstract We developed a machine learning based surrogate model to identify sustainability pathways through rapid scenario generation and defined the safe operating space for achieving them via scenario discovery. We trained a surrogate model to replicate the Land‐Use Trade‐Offs integrated model of t...

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Hlavní autoři:	Md Shakil Khan, Enayat A. Moallemi, Asef Nazari, Dhananjay Thiruvady, Brett A. Bryan
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Wiley 2023-03-01
Edice:	Earth's Future
Témata:	sustainable development goals pathways land‐use uncertainty machine learning scenario discovery
On-line přístup:	https://doi.org/10.1029/2022EF003083
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