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The Time Machine framework: monitoring and prediction of biodiversity loss

28.02.2022

A new framework that uses sediment archives from watersheds to establish causal links between abiotic changes and systemic loss of biodiversity, ecosystem functions and services.

The authors highlight: “Just like a time machine, we go back in time and reconstruct a library of biological, chemical, environmental and functional changes at a yearly resolution, enabling the understanding of the spatiotemporal impacts of abiotic changes on ecosystems and their services.”

The framework (i) applies an artificial intelligence (AI) time-series analysis to identify relationships among environmental change, biodiversity dynamics and ecosystem functions; (ii) validates relationships between loss of biodiversity and environmental change in fabricated ecosystems; and (iii) forecasts the likely future of ecosystem services and their socioeconomic impact under different pollution and climate scenarios.

Here you can find the publication.

Here you can find the press release of the Goethe University Frankfurt am Main.

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