Department of Biology, Utrecht University, 3584 CH, The Netherlands.
Climate Impacts Research Centre, Umea University, SE-981 07, Abisko, Sweden.
FEMS Microbiol Ecol. 2022 Nov 26;98(12). doi: 10.1093/femsec/fiac134.
The microbial ecology of arctic and sub-arctic soils is an important aspect of the global carbon cycle, due to the sensitivity of the large soil carbon stocks to ongoing climate warming. These regions are characterized by strong climatic seasonality, but the emphasis of most studies on the short vegetation growing season could potentially limit our ability to predict year-round ecosystem functions. We compiled a database of studies from arctic, subarctic, and boreal environments that include sampling of microbial community and functions outside the growing season. We found that for studies comparing across seasons, in most environments, microbial biomass and community composition vary intra-annually, with the spring thaw period often identified by researchers as the most dynamic time of year. This seasonality of microbial communities will have consequences for predictions of ecosystem function under climate change if it results in: seasonality in process kinetics of microbe-mediated functions; intra-annual variation in the importance of different (a)biotic drivers; and/or potential temporal asynchrony between climate change-related perturbations and their corresponding effects. Future research should focus on (i) sampling throughout the entire year; (ii) linking these multi-season measures of microbial community composition with corresponding functional or physiological measurements to elucidate the temporal dynamics of the links between them; and (iii) identifying dominant biotic and abiotic drivers of intra-annual variation in different ecological contexts.
北极和亚北极土壤的微生物生态学是全球碳循环的一个重要方面,这是由于大量土壤碳储量对正在进行的气候变暖的敏感性。这些地区的气候季节性很强,但大多数关于短植被生长季节的研究的重点可能会限制我们预测全年生态系统功能的能力。我们汇编了来自北极、亚北极和北方森林环境的研究数据库,其中包括生长季节以外的微生物群落和功能的采样。我们发现,对于跨季节比较的研究来说,在大多数环境中,微生物生物量和群落组成年内变化,春季解冻期通常被研究人员认为是一年中最具活力的时期。如果这种微生物群落的季节性导致以下情况,那么它将对气候变化下生态系统功能的预测产生影响:微生物介导功能的过程动力学的季节性;不同(生物和非生物)驱动因素的重要性的年内变化;以及/或者气候变化相关干扰及其相应影响之间可能存在时间上的不同步。未来的研究应侧重于:(i)全年采样;(ii)将这些微生物群落组成的多季节测量与相应的功能或生理测量联系起来,以阐明它们之间联系的时间动态;以及(iii)在不同的生态背景下确定年内变化的主要生物和非生物驱动因素。