2013
DOI: 10.3354/ame01652
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Small-scale temporal and spatial variations in protistan community composition at the San Pedro Ocean Time-series station off the coast of southern California

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Cited by 25 publications
(31 citation statements)
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“…2). The monthly and seasonal variability in standing stocks of microbial biomass is consistent with previously reported values of monthly-to-interannual variability observed at the sampling site, and even small-scale temporal and spatial variability (Chow et al, 2013;Kim et al, 2013;Lie et al, 2013).…”
Section: The Biological Structure Of the Plankton Community At The Spsupporting
confidence: 90%
“…2). The monthly and seasonal variability in standing stocks of microbial biomass is consistent with previously reported values of monthly-to-interannual variability observed at the sampling site, and even small-scale temporal and spatial variability (Chow et al, 2013;Kim et al, 2013;Lie et al, 2013).…”
Section: The Biological Structure Of the Plankton Community At The Spsupporting
confidence: 90%
“…Finally, in order to define the variables that were the most important in structuring the COIA scatterplot, Spearman's correlation coefficients were calculated between all variables and COIA coordinates. Environmental and abundance data were log(x + 1) transformed to ensure normal distribution (Legendre & Legendre 1998), and environmental data were standardized to render them dimensionless (z-scores; Kenkel 2006).…”
Section: Discussionmentioning
confidence: 99%
“…These results provided additional support that rRNA results offered a clearer approach to follow microbial community responses to the light-dark cycle. Previous DNA-based work at a coastal time-series station found that some spatial (within 5 km) and temporal (once daily) variability during sample collection did not dramatically change long-term (e.g., monthly or seasonal) ecological interpretations (Lie et al, 2013;Needham et al, 2017). Those studies, based on DNA sequencing, have provided estimates of total community diversity suitable to detect monthly or seasonal shifts, while results derived here from RNA sequencing better reflect the short-term temporal dynamics in the microbial community.…”
Section: Total Species Richness and Community Composition Based On Rdmentioning
confidence: 91%