Longer dry and wet spells alter the stochasticity of microbial community assembly in grassland soils

草原 土壤水分 降水 群落结构 中观 农学 微生物种群生物学 生态系统 生态学 生物 环境科学 土壤科学 细菌 地理 遗传学 气象学
作者
Lingjuan Li,Ivan Nijs,Hans J. De Boeck,Olga Vindušková,Simon Reynaert,Chase Donnelly,Lin Zi,Erik Verbruggen
出处
期刊:Soil Biology & Biochemistry [Elsevier]
卷期号:178: 108969-108969 被引量:37
标识
DOI:10.1016/j.soilbio.2023.108969
摘要

Climate change is increasing the duration of alternating wet and dry spells. These fluctuations affect soil water availability and other soil properties which are crucial drivers of soil microbial communities. While soil microbial communities have a moderate capacity to recover once a drought ceases, the expected alternation of strongly opposing regimes can challenge their capacity to adapt. Here, we set up experimental grassland mesocosms where precipitation frequency was adjusted along a gradient while holding total precipitation constant. The gradient varied the duration of wet and dry spells from 1 to 60 days during a total of 120 days, where we hypothesized that especially intermediate durations would increase the importance of stochastic community assembly due to frequent alternation of opposing environmental regimes. We examined bacterial and fungal community composition, diversity, co-occurrence patterns and assembly mechanisms across these different precipitation treatments. Our results show that 1) intermediate regimes of wet and dry spells increased the stochasticity of microbial community assembly whereas microbial communities at low and high regimes were subjected to more deterministic assembly, and 2) more persistent precipitation regimes (>6 days duration) reduced the fungal diversity and network connectivity but had little effect on bacterial communities. Collectively, these findings indicate that longer alternating wet and dry events lead to a less predictable and connected soil microbial community. This study provides new insight into the likely mechanisms through which precipitation persistence alters soil microbial communities and their predictability.
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