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Abstract
Increasing soil organic carbon (SOC) in croplands by switching from conventional to conservation management may be hampered by stimulated microbial decomposition under warming. Here, we test the interactive effects of agricultural management and warming on SOC persistence and underlying microbial mechanisms in a decade-long controlled experiment on a wheat-maize cropping system. Warming increased SOC content and accelerated fungal community temporal turnover under conservation agriculture (no tillage, chopped crop residue), but not under conventional agriculture (annual tillage, crop residue removed). Microbial carbon use efficiency (CUE) and growth increased linearly over time, with stronger positive warming effects after 5 years under conservation agriculture. According to structural equation models, these increases arose from greater carbon inputs from the crops, which indirectly controlled microbial CUE via changes in fungal communities. As a result, fungal necromass increased from 28 to 53%, emerging as the strongest predictor of SOC content. Collectively, our results demonstrate how management and climatic factors can interact to alter microbial community composition, physiology and functions and, in turn, SOC formation and accrual in croplands.
Agricultural soil C dynamics under climate change are difficult to predict. Here, the authors report that experimental warming increases soil organic C stocks in conservation agriculture but not in conventional agriculture, which appears driven by soil microbial responses to no tillage and C inputs from the crops.
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1 China Agricultural University, State Key Laboratory of Nutrient Use and Management, College of Resources and Environmental Sciences, Beijing, PR China (GRID:grid.22935.3f) (ISNI:0000 0004 0530 8290)
2 University of Exeter, Rennes Drive, Geography, Faculty of Environment, Science and Economy, Exeter, UK (GRID:grid.8391.3) (ISNI:0000 0004 1936 8024); SRUC-Scotland’s Rural College, Carbon Management Centre, Edinburgh, UK (GRID:grid.426884.4) (ISNI:0000 0001 0170 6644)
3 Chinese Academy of Sciences (CAS), Key Laboratory of Ecosystem Network Observation and Modeling, Institute of Geographic Sciences and Natural Resources Research, Beijing, PR China (GRID:grid.9227.e) (ISNI:0000000119573309)
4 Chinese Academy of Sciences, CAS Key Laboratory for Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Beijing, PR China (GRID:grid.9227.e) (ISNI:0000000119573309)
5 University of Exeter, Rennes Drive, Geography, Faculty of Environment, Science and Economy, Exeter, UK (GRID:grid.8391.3) (ISNI:0000 0004 1936 8024)
6 Tsinghua University, State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, Beijing, PR China (GRID:grid.12527.33) (ISNI:0000 0001 0662 3178)
7 University of Göttingen, Department of Soil Science of Temperate Ecosystems, Göttingen, Germany (GRID:grid.7450.6) (ISNI:0000 0001 2364 4210)
8 Colorado State University, Department of Soil and Crop Science, Fort Collins, USA (GRID:grid.47894.36) (ISNI:0000 0004 1936 8083)
9 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); 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 Science, 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)