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Drought legacy affects microbial community trait distributions related to moisture along a savannah grassland precipitation gradient
Journal of Ecology ( IF 5.3 ) Pub Date : 2020-11-05 , DOI: 10.1111/1365-2745.13550
Ainara Leizeaga 1 , Lettice C. Hicks 1 , Lokeshwaran Manoharan 2, 3 , Christine V. Hawkes 4 , Johannes Rousk 1
Affiliation  

  1. Ecosystem models commonly use stable-state assumptions to predict responses of soil microbial functions to environmental change. However, past climatic conditions can shape microbial functional responses resulting in a ‘legacy effect’. For instance, exposure to drier conditions in the field may shape how soil microbial communities respond to subsequent drought and drying and rewetting (DRW) events.
  2. We investigated microbial tolerance to low moisture levels (‘resistance’) and ability to recover after a DRW perturbation (‘resilience’) across a steep precipitation gradient in Texas, USA.
  3. Although differences in precipitation regime did not result in differences in resistance and resilience of soil microbes, microbial communities appeared to be generally resilient and resistant across the gradient, suggesting that frequent exposure to drought had characterised the trait distributions of microbial communities. Moreover, microbial communities from historically drier sites used carbon more efficiently during a DRW perturbation suggesting that long-term drought history leaves a legacy effect on microbial functions. This may have been due to an indirect effect of drought caused via precipitation-induced differences in primary productivity, influencing the availability of soil organic matter to microbes. Alternatively, different exposures to drought might have shaped the microbial ‘readiness’ to cope with the DRW disturbance. Microbial community composition was also linked to drought history, but was unrelated to variation in function.
  4. Synthesis. Exposure to drought can have both direct and indirect effects on soil microbial communities, which can result in lasting legacy effects on the functions they control.


中文翻译:

干旱遗产影响与沿热带草原草原降水梯度的水分有关的微生物群落性状分布

  1. 生态系统模型通常使用稳态假设来预测土壤微生物功能对环境变化的响应。然而,过去的气候条件会影响微生物的功能反应,从而产生“遗留效应”。例如,在田间暴露于较干燥的条件可能会影响土壤微生物群落对随后的干旱和干燥再润湿 (DRW) 事件的反应。
  2. 我们在美国德克萨斯州的陡峭降水梯度中研究了微生物对低水分水平的耐受性(“阻力”)和在 DRW 扰动后恢复的能力(“弹性”)。
  3. 尽管降水状况的差异并未导致土壤微生物的抵抗力和恢复力的差异,但微生物群落似乎在整个梯度上普遍具有恢复力和抵抗力,这表明频繁暴露于干旱已经表征了微生物群落的性状分布。此外,在 DRW 扰动期间,来自历史上较干燥地点的微生物群落更有效地利用碳,这表明长期干旱历史对微生物功能留下了遗留影响。这可能是由于降水引起的初级生产力差异导致干旱的间接影响,影响了土壤有机质对微生物的利用。或者,不同的干旱暴露可能塑造了微生物应对干旱干旱干扰的“准备”。
  4. 合成。暴露于干旱会对土壤微生物群落产生直接和间接影响,从而对其控制的功能产生持久的遗留影响。
更新日期:2020-11-05
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