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Effects of Low‐Grade Weirs on Soil Microbial Communities in Agricultural Drainage Ditches
Author(s) -
Baker Beth H.,
Brooks John P.,
Deng Dewayne D.,
Smith Renotta K.,
Kröger Robert,
Prince Czarnecki Joby M.
Publication year - 2018
Publication title -
journal of environmental quality
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.888
H-Index - 171
eISSN - 1537-2537
pISSN - 0047-2425
DOI - 10.2134/jeq2017.12.0489
Subject(s) - environmental science , weir , surface runoff , 16s ribosomal rna , hydrology (agriculture) , ecology , biology , geography , bacteria , geology , cartography , geotechnical engineering , genetics
Agricultural fertilizer application throughout the Mississippi River basin has been identified as a major source of N pollution to the Gulf of Mexico. Using best management practices, such as low‐grade weirs, has been identified as a potential solution to mitigate nutrient loads in agricultural runoff. This study assessed impacts of weir implementation in four agricultural drainage ditches (three with weirs and one control site) in the Mississippi Delta. Soil samples collected from field locations in spring 2013 were analyzed for denitrifier abundance using genes (16s ribosomal RNA [rRNA] genes, nosZ , nirS , and nirK ) via quantitative polymerase chain reaction (qPCR), microbial community profiles via terminal‐restriction fragment length polymorphism (T‐RFLP) of 16s rRNA genes, soil parameters (C, N, and moisture), and vegetation presence at sample locations. Gene quantification was successful, except for nirK , which was found below detection limits (5000 gene copies g −1 soil). Distance from weirs was negatively correlated with 16S rRNA genes and soil moisture, and soil moisture was positively correlated with 16s rRNA and nir S gene abundance. Results of empirical Bayesian kriging did not exhibit obvious patterns of microbial diversity in relation to weir proximity. Preliminary assessment of seasonal trends showed genes 16s rRNA and nirS , soil N, and mean T‐RF values to be greater in fall than in spring. Results highlight that weirs had no direct impact on microbial diversity or denitrification functional gene abundance. Correlations between microbial measures and environmental parameters suggest that adequate management of N runoff from agricultural landscapes will require ecological engineering beyond weirs to optimize N mitigation. Core Ideas Microbial communities were not different between ditches with and without weirs. Distance from weirs was negatively correlated with 16s rRNA genes and soil moisture. Soil moisture was positively correlated with 16s rRNA and nirS functional genes. Preliminary data showed seasonal differences in microbial diversity.