ABSTRACT:

This study surveyed leaf litter across a non-perennial stream system located within the South Fork of King’s Creek at Konza Prairie Biological Station. At the USGS gage located on the mainstem (06879560; est. 1979), Kings Creek is a 5th order intermittent stream draining 1059-ha of tallgrass prairie in the Kansas Flint Hills.
Sample collection followed a synoptic survey design to support the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. During June 2021, a field team co-collected datasets characterizing stream microbiota, biogeochemistry, and hydrology across 50 locations within a sub-drainage of the South Fork of Kings’ Creek. The 50 sites were selected to balance multiple competing priorities: (i) strategically targeting existing monitoring infrastructure with long-term data (n=14); (ii) including sites near several known springs and tributary junctions (n=9); and (iii) including a range of drainage area and topographic wetness index (TWI) values (n=27), both of which have been correlated with flow permanence elsewhere. For a detailed description of the site selection process, please see (Swenson et al., 2024).
Samples were collected during the period of June 4th to June 8th, 2021, following the AIMS Microbial Field Sampling protocol (Zeglin and Busch, 2024). Briefly, at each site, the microbial sampling field crew visually ascertained whether surface water was present at the site, classifying sites as 'wet' (n=45) or 'dry' (n=5). At the time of sampling the stream was divided into three subsampling areas (compartments) of equal width across the wetted width of the channel at wet sites, or across the inferred channel width at dry sites. At each site, one leaf was collected randomly from each of the three sampling compartments. Where there was no leaf litter located directly within a subsampling area, leaf litter up to 2-m upstream of the transect was sampled, or beyond 2-m no leaf litter was sampled for that compartment. We avoided leaves that were too decomposed to be identifiable and also avoided green undecomposed leaves. All sampled leaves were identified to the lowest possible taxonomic level. For subsequent data analysis, the leaf litter data from each site was converted to provide the binary presence/absence of leaf taxa within the sampling transect. In the binary coding scheme, most plant species were lumped to the genus level, but grasses and sedges were lumped to the order Poales. In some cases, leaves were only identified as 'unknown shrub' or 'unknown forb'. The leaves identified in this dataset correspond with the leaves collected for microbial analyses, i.e., EEA analysis, qPCR, 16SS and ITS rDNA metabarcoding. Presence/absence of a leaf type in this dataset corresponds with the presence/absence of a leaf type from the corresponding leaf DNA sample or leaf enzyme sample.

References:
Swenson, L. J., Zipper, S., Peterson, D. M., Jones, C. N., Burgin, A. J., Seybold, E., ... & Hatley, C. (2024). Changes in Water Age During Dry‐Down of a Non‐Perennial Stream. Water Resources Research, 60(1), e2023WR034623. https://doi.org/10.1029/2023WR034623
Zeglin, L., M. Busch (2024). AIMS SOP - Microbial Field Sampling, HydroShare, http://www.hydroshare.org/resource/4b071711215341118330c22f18b5d20d
AIMS OSF site: https://osf.io/e7s9j/ Microbial sampling protocol: https://osf.io/g3msz

ABSTRACT:

This study quantifies chlorophyll-a (as a proxy for biomass of microbial photoautotrophs) on rock surfaces (µg/cm2) and in surface waters (µg/L) collected from non-perennial stream sites located within the South Fork of King’s Creek at Konza Prairie Biological Station. At the USGS gage located on the mainstem (06879560; est. 1979), Kings Creek is a 5th order intermittent stream draining 1059-ha of tallgrass prairie in the Kansas Flint Hills.
Sample collection followed a synoptic survey design to support the sampling goals of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) Project. During June 2021, a field team co-collected datasets characterizing stream microbiota, biogeochemistry, and hydrology across 50 locations within a sub-drainage of the South Fork of Kings’ Creek. The 50 sites were selected to balance multiple competing priorities: (i) strategically targeting existing monitoring infrastructure with long-term data (n=14); (ii) including sites near several known springs and tributary junctions (n=9); and (iii) including a range of drainage area and topographic wetness index (TWI) values (n=27), both of which have been correlated with flow permanence elsewhere. For a detailed description of the site selection process, please see (Swenson et al., 2024).
Samples were collected during the period of June 4th to June 8th, 2021, following the AIMS Microbial Field Sampling protocol (Zeglin and Busch, 2024). Briefly, representative samples of (i) surface water and (ii) epilithon (rock surface biofilms) were collected from each site (where present) using aseptic technique. All equipment was either pre-sterilized (e.g., Nalgene bottles, syringes, filter holders and plastic containers) or was cleaned with 95% ethanol between sites and subsequently flame sterilized (forceps for handling filters) or rinsed in stream water (wire brushes for scraping rocks). Foil packets containing GFF filters (Whatman 1825025) were pre-ashed and pre-labeled for each sample. At each site, the stream was divided into three areas (compartments) of equal width across the wetted width of the channel, or inferred channel width at dry sites (n=5). For water, a 360 mL composite sample was collected (120 mL from each of the three compartments), and a known volume of the composite sample was filtered (up to 60 mL) by pushing it through a GFF filter via a syringe and filter holder. The volume filtered was recorded and the filter was saved in its pre-labeled foil packet for chlorophyll-a analysis. For epilithon, three rocks (one from each compartment) were randomly collected, and their top surfaces were scraped using wire brushes, with area scrapped quantified by using a 25-cm2 template to limit scrub area on each rock, or for rocks that did not fit the template, by measuring and estimating rocks surface areas manually. Scraped biofilms were rinsed using a maximum of 50 mL of deionized water, and the rinsed materials (slurry) were collected and mixed in pre-sterilized plastic containers. At each site, up to 10-mL of epilithic biofilm slurry was filtered onto a GFF filter, the volume filtered was recorded and the filter was saved in its pre-labeled foil packet for chlorophyll-a analysis. In the field, all filters were temporarily stored in plastic bags on ice or under ice packs, and at the end of each field day were stored in a freezer (-20ºC).
Frozen filters were later shipped on dry ice from the Zeglin lab at Kansas State University (Manhattan, KS) to the Kuehn lab at the University of Southern Mississippi (Hattiesburg, MS). In the lab, chlorophyll-a was extracted from GFF filters in 5-10 ml of 90% ethanol at 80ºC for 5 minutes, steeped overnight at 4ºC (in darkness), and immediately quantified the following day by fluorescence using a Shimadzu 10ADvp series high performance liquid chromatography (HPLC) equipped with a Shimadzu RF10Axl fluorescence detector (excitation 430nm, emission 670 nm) (Meyns et al. 1994). Chlorophyll-a content quantified and calculated in terms of rock surface area sampled (µg/cm2) or concentration in surface waters (µg/L).
References:
Meyns, S., Illi, R., & Ribi, B. (1994). Comparison of chlorophyll-a analysis by HPLC and spectrophotometry: where do the differences come from? Archiv für Hydrobiologie, 129-139.
Swenson, L. J., Zipper, S., Peterson, D. M., Jones, C. N., Burgin, A. J., Seybold, E., ... & Hatley, C. (2024). Changes in Water Age During Dry‐Down of a Non‐Perennial Stream. Water Resources Research, 60(1), e2023WR034623. https://doi.org/10.1029/2023WR034623
Zeglin, L., M. Busch (2024). AIMS SOP - Microbial Field Sampling, HydroShare, http://www.hydroshare.org/resource/4b071711215341118330c22f18b5d20d
AIMS OSF site: https://osf.io/e7s9j/ Microbial sampling protocol: https://osf.io/g3msz