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Microbial decomposers not constrained by climate history along a Mediterranean climate gradient in southern California

分解者 微生物种群生物学 生态学 垃圾箱 植物凋落物 地中海气候 营养循环 环境科学 碳循环 气候变化 生物量(生态学) 草原 生态系统 微观世界 自行车 生物 全球变暖 微生物生态学 地理 细菌 遗传学 考古
作者
Nameer Baker,Banafshe Khalili,Jennifer B. H. Martiny,Steven Allison
出处
期刊:Ecology [Wiley]
卷期号:99 (6): 1441-1452 被引量:18
标识
DOI:10.1002/ecy.2345
摘要

Microbial decomposers mediate the return of CO2 to the atmosphere by producing extracellular enzymes to degrade complex plant polymers, making plant carbon available for metabolism. Determining if and how these decomposer communities are constrained in their ability to degrade plant litter is necessary for predicting how carbon cycling will be affected by future climate change. We analyzed mass loss, litter chemistry, microbial biomass, extracellular enzyme activities, and enzyme temperature sensitivities in grassland litter transplanted along a Mediterranean climate gradient in southern California. Microbial community composition was manipulated by caging litter within bags made of nylon membrane that prevent microbial immigration. To test whether grassland microbes were constrained by climate history, half of the bags were inoculated with local microbial communities native to each gradient site. We determined that temperature and precipitation likely interact to limit microbial decomposition in the extreme sites along our gradient. Despite their unique climate history, grassland microbial communities were not restricted in their ability to decompose litter under different climate conditions across the gradient, although microbial communities across our gradient may be restricted in their ability to degrade different types of litter. We did find some evidence that local microbial communities were optimized based on climate, but local microbial taxa that proliferated after inoculation into litterbags did not enhance litter decomposition. Our results suggest that microbial community composition does not constrain C-cycling rates under climate change in our system, but optimization to particular resource environments may act as more general constraints on microbial communities.

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