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Abstract
Unravelling biosphere feedback mechanisms is crucial for predicting the impacts of global warming. Soil priming, an effect of fresh plant-derived carbon (C) on native soil organic carbon (SOC) decomposition, is a key feedback mechanism that could release large amounts of soil C into the atmosphere. However, the impacts of climate warming on soil priming remain elusive. Here, we show that experimental warming accelerates soil priming by 12.7% in a temperate grassland. Warming alters bacterial communities, with 38% of unique active phylotypes detected under warming. The functional genes essential for soil C decomposition are also stimulated, which could be linked to priming effects. We incorporate lab-derived information into an ecosystem model showing that model parameter uncertainty can be reduced by 32–37%. Model simulations from 2010 to 2016 indicate an increase in soil C decomposition under warming, with a 9.1% rise in priming-induced CO2 emissions. If our findings can be generalized to other ecosystems over an extended period of time, soil priming could play an important role in terrestrial C cycle feedbacks and climate change.
Soil priming could release large amounts of soil C into the atmosphere. Here the authors show that experimental warming boosts soil priming and CO2 emissions in grasslands potentially due to microbial changes. Model accuracy could be improved by incorporating these mechanisms.
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1 University of Oklahoma, Institute for Environmental Genomics, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018); University of Oklahoma, School of Biological Sciences, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018)
2 Tsinghua University, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
3 Wuhan University, Institute for Water-Carbon Cycles and Carbon Neutrality, and State Key Laboratory of Water Resources Engineering and Management, Wuhan, China (GRID:grid.49470.3e) (ISNI:0000 0001 2331 6153)
4 University of Oklahoma, Institute for Environmental Genomics, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018); University of Oklahoma, School of Biological Sciences, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018); Tsinghua University, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing, China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
5 Chinese Academic of Sciences, State Key Laboratory of Lake Science and Environment, Nanjing Institute of Geography and Limnology, Nanjing, China (GRID:grid.458478.2) (ISNI:0000 0004 1799 2325)
6 University of California, Berkeley, Berkeley, Department of Environmental Science, Policy, and Management, California, USA (GRID:grid.47840.3f) (ISNI:0000 0001 2181 7878); Lawrence Berkeley National Laboratory, Earth and Environmental Sciences, Berkeley, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551)
7 Michigan State University, Center for Microbial Ecology, East Lansing, USA (GRID:grid.17088.36) (ISNI:0000 0001 2195 6501)
8 University of Oklahoma, Institute for Environmental Genomics, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018); University of Oklahoma, School of Biological Sciences, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018); Lawrence Berkeley National Laboratory, Earth and Environmental Sciences, Berkeley, USA (GRID:grid.184769.5) (ISNI:0000 0001 2231 4551); University of Oklahoma, School of Civil Engineering and Environmental Sciences, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018); University of Oklahoma, School of Computer Sciences, Norman, USA (GRID:grid.266900.b) (ISNI:0000 0004 0447 0018)