A trait-based framework for predicting when and where microbial adaptation to climate change will affect ecosystem functioning

By M. Wallenstein, E. Hall. Biogeochemistry, 2012

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Temperatures beyond the community optimum promote the dominance of heat-adapted, fast growing and stress resistant bacteria in alpine soils (2020, background): “Temperatures above Topt exert high selective pressure on microorganisms (Barcenas-Moreno et al., 2009; Rinnan et al., 2009; van Gestel et al., 2013) and selection for taxa adapted to the whole range of in-situ temperatures can be expected (Wallenstein and Hall, 2012).”
The quality of organic matter shapes the functional biogeography of bacterioplankton across boreal freshwater ecosystems (2015, background): “In addition, for these microbial properties to be eventually useful for predictive purposes (e.g. Wallenstein & Hall, 2012), they should be responsive to measurable environmental factors.”
Microbes as Engines of Ecosystem Function: When Does Community Structure Enhance Predictions of Ecosystem Processes? (2016, background): “However, these relationships and the underlying ecological principles that generate them may vary among environments, relevant microbial traits, and processes of interest (Wallenstein and Hall, 2012; Nemergut et al., 2014).”
Integrating microbial ecology into ecosystem models: challenges and priorities (2012, background): “In terms of temporal dynamics, we recommend focusing on the relative rates of global change (i.e., gradual versus abrupt) compared to rates of microbial responses (i.e., sustained, resilient, delayed, or resistant), as discussed by Wallenstein and Hall (2011).”