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English: A central challenge in predicting climate change effects is integrating predictions derived from models across different scales of resolution.
  • (a) Landscape-scale models couple hydrologic, climatic, and soil-ecosystem models.
  • (b) Soil carbon models integrate simulations of overall microbial activity and greenhouse gas flux from aboveground, surface, and subsurface soil horizons.
  • (c) Agent-based models, which detail processes occurring at the microbial population scale, allow for both elucidation of what properties of a system are attributable to individual groups of microbes and what are emergent.
  • (d) Molecular pathways/metabolic maps (e.g., metagenomics, metatranscriptomics, metaproteomics, metabolomics) can be used to model soil microbial phylogenetic and phenotypic responses to change, including elucidating which metabolic pathways are represented in a soil system and the rates at which they occur.
Date
Source Naylor, Dan; Sadler, Natalie; Bhattacharjee, Arunima; Graham, Emily B.; Anderton, Christopher R.; McClure, Ryan; Lipton, Mary; Hofmockel, Kirsten S.; Jansson, Janet K. (17 October 2020). "Soil Microbiomes Under Climate Change and Implications for Carbon Cycling". Annual Review of Environment and Resources. 45 (1): 29–59. doi:10.1146/annurev-environ-012320-082720
Author Dan Naylor, Natalie Sadler, Arunima Bhattacharjee, Emily B. Graham, Christopher R. Anderton, Ryan McClure, Mary Lipton, Kirsten S. Hofmockel and Janet K. Jansson

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Climate change models across different scales of resolution

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