An application of DEMENTpy along a climate gradient in Southern California, USA. It offers a hypothesis that a unified, data-driven model of trait-based prediction of litter decomposition across scales can be developed. This trait-based can integrate climate-driven microbiome legacies.
Wang,B. and Allison,S.D. 2022. Climate-driven legacies in simulated microbial communities alter litter decomposition rates.Frontiers in Ecology and Evolution. 10.3389/fevo.2022.841824
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5 folders, each for one of the 5 sites:
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site_information:
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automation: bash scripts automating data transfer between local and remote machine
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actual_forcing: data generated under actual forcing
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average_forcing: data generated under average forcing
Manuscript published
Slides and a video for 2021 AGU presentation