PAPER: Predicting soil quality
URL: https://doi.org/10.1186/s40168-020-00858-1
Using soil bacterial communities to predict physico-chemical variables and soil quality
June 2020
Hermans SM, Buckley HL, Case BS, Curran-Cournane F, Taylor M, Lear G 2020. Using soil bacterial communities to predict physico-chemical variables and soil quality. Microbiome 8(1): 79
ABSTRACT
Soil ecosystems consist of complex interactions between biological communities and physico-chemical variables, all of which contribute to the overall quality of soils. Despite this, changes in bacterial communities are ignored by most soil monitoring programs, which are crucial to ensure the sustainability of land management practices. We applied 16S rRNA gene sequencing to determine the bacterial community composition of over 3000 soil samples from 606 sites in New Zealand. Sites were classified as indigenous forests, exotic forest plantations, horticulture, or pastoral grasslands; soil physico-chemical variables related to soil quality were also collected. The composition of soil bacterial communities was then used to predict the land use and soil physico-chemical variables of each site.
KEYWORDS
Bacterial communities; Bacterial indicators; Biomonitoring; Environmental monitoring; Random forest analysis; Soil health; Soil microbiology;
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