生物
地球微生物学
自行车
特质
气候变化
碳循环
生态学
微生物生态学
碳纤维
环境生物技术
细菌
生态系统
遗传学
林业
复合数
复合材料
材料科学
程序设计语言
地理
计算机科学
作者
Ashish A. Malik,Jennifer B. H. Martiny,Eoin Brodie,Adam C. Martiny,Kathleen K. Treseder,Steven Allison
标识
DOI:10.1038/s41396-019-0510-0
摘要
Microorganisms are critical in terrestrial carbon cycling because their growth, activity and interactions with the environment largely control the fate of recent plant carbon inputs as well as protected soil organic carbon [1, 2]. Soil carbon stocks reflect a balance between microbial decomposition of organic carbon and stabilisation of microbial assimilated carbon. The balance can shift under altered environmental conditions [3], and new research suggests that knowledge of microbial physiology may be critical for projecting changes in soil carbon and improving the prognosis of climate change feedbacks [4,5,6,7]. Still, predicting the ecosystem implications of microbial processes remains a challenge. In this paper we argue that this challenge can be met by identifying microbial life history strategies based on an organism’s phenotypic characteristics, or traits, and representing these strategies in ecosystem models.
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