Dunn Laurie, Lang Christophe, Marilleau Nicolas, Terrat Sébastien, Biju-Duval Luc, Lelièvre Mélanie, Perrin Solène, Chemidlin Prévost-Bouré Nicolas
UMR 1347 Agroécologie, INRAE, AgrosupDijon, Université Bourgogne Franche-Comté, Dijon, France.
Institut de Recherche Femto-ST, CNRS, Université Bourgogne Franche-Comté, Besançon, France.
PLoS One. 2021 Jun 17;16(6):e0252216. doi: 10.1371/journal.pone.0252216. eCollection 2021.
According to biogeography studies, the abundance and richness of soil microorganisms vary across multiple spatial scales according to soil properties and farming practices. However, soil microorganisms also exhibit poorly understood temporal variations. This study aimed at better understanding how soil microbial communities respond to changes in farming practices at a landscape scale over time. A regular grid of 269 sites was set up across a 1,200 ha farming landscape, and soil samples were characterized for their molecular microbial biomass and bacterial richness at two dates (2011 and 2016). A mapping approach highlighted that spatial microbial patterns were stable over time, while abundance and richness levels were modified. The drivers of these changes were investigated though a PLS-PM (partial least square path-modeling) approach. Soil properties were stable over time, but farming practices changed. Molecular microbial biomass was mainly driven by soil resources, whereas bacterial richness depended on both farming practices and ecological parameters. Previous-crop and management effects and a temporal dependence of the microbial community on the historical farming management were also highlighted.
根据生物地理学研究,土壤微生物的丰度和丰富度会根据土壤性质和耕作方式在多个空间尺度上发生变化。然而,土壤微生物也表现出人们了解较少的时间变化。本研究旨在更好地了解土壤微生物群落如何随时间在景观尺度上对耕作方式的变化做出反应。在一个1200公顷的农业景观中设置了一个由269个位点组成的规则网格,并在两个时间点(2011年和2016年)对土壤样本的分子微生物生物量和细菌丰富度进行了表征。一种绘图方法突出显示,空间微生物模式随时间保持稳定,而丰度和丰富度水平发生了改变。通过偏最小二乘路径建模(PLS-PM)方法对这些变化的驱动因素进行了研究。土壤性质随时间保持稳定,但耕作方式发生了变化。分子微生物生物量主要受土壤资源驱动,而细菌丰富度则取决于耕作方式和生态参数。还强调了前茬作物和管理效应以及微生物群落对历史耕作管理的时间依赖性。