ABSTRACT:

This study was conducted in the Shambley Creek research watershed (outlet location: 32.98410915, -88.01334337) on privately owned property in Greene County (AL, USA) as part of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) project, an NSF EPSCoR funded project (OIA 2019603). The project sought to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, and Idaho, integrating datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry. The watershed drains a non-perennial unnamed tributary to Shambley Creek and contains 0.70 km2 of coniferous forest managed for silviculture in the East Gulf Coastal Plain physiographic section. Located near Eutaw, AL, the watershed spans an elevation range from 63 to 94 m above sea level and is a tributary to the Sipsey River (within the larger Mobile-Tombigbee basin). The region has a humid subtropical climate, with mean daily January and July air temperatures of 7.3°C and 27.4°C respectively, and mean annual precipitation of 1,350 mm/yr.
We collected samples every ~3 weeks from October 14, 2021, to October 1, 2024, at the outlet of our watershed (WHM01, approach 1) and seasonally at seven distributed sites (approach 2). We collected triplicate water samples for dissolved organic matter (DOM). We collected samples at the specified location when water was present using a syringe in a well-mixed area of the stream. We then filtered water through PES PLUS membrane syringe filters into clean, leached amber HDPE bottles following the AIMS Surface Water Chemistry SOP (Burgin 2024). Samples were refrigerated until analysis on a Horiba Aqualog spectrometer at either University of Alabama or Idaho State University. DOM excitation-emissions matrices and absorbance spectra were collected on a Horiba Aqualog from 249 to 830 nm at 5-nm increments at the University of Alabama and/or Idaho State University. Integration times varied from 2 to 4 seconds, based on sample concentration. EEMs were blank-corrected, Raleigh masked, inner filter effects were removed, and values were Raman-normalized using Aqualog software. Standard fluorescence metrics were calculated from corrected EEMs using the StaRdom package in R. These included: biological index, fluorescence index, humification index, and fluorescence at standard peaks: amino acid-like peak tyrosine (B) and amino acid-like peak tryptophan (T), humic-like peaks A and C, and humic-like peak M. Absorbance metrics were also calculated in StaRdom, including absorbance at 254 nm and absorbance at 300 nm; E2:E3, and absorbance slopes 275-295, 350-400, and 300-700, and slope ratio. Mean and standard deviation of triplicate samples are reported in data.

ABSTRACT:

This study was conducted in the Paint Rock research watershed (outlet location: 34.96861724, -86.16501705) on privately owned property in Jackson County (AL, USA) as part of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) project, an NSF EPSCoR funded project (OIA 2019603). The project sought to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, and Idaho, integrating datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry. The watershed drains a non-perennial unnamed tributary to Burks Creek and contains 2.97 km2 of deciduous forest in the Cumberland Plateau physiographic section. Located near Estillfork, AL, the watershed spans an elevation range from 211 to 550 m above sea level and is a tributary to the Paint Rock River (within the larger Tennessee basin). The region has a humid subtropical climate, with mean daily January and July air temperatures of 4.4°C and 25.4°C respectively, and mean annual precipitation of 1,390 mm/yr.
We collected samples every ~3 weeks from October 13, 2021, to October 1, 2024, at the outlet of our watershed (PRM01, approach 1) and seasonally at seven distributed sites (approach 2). We collected triplicate water samples for dissolved organic matter (DOM). We collected samples at the specified location when water was present using a syringe in a well-mixed area of the stream. We then filtered water through PES PLUS membrane syringe filters into clean, leached amber HDPE bottles following the AIMS Surface Water Chemistry SOP (Burgin 2024). Samples were refrigerated until analysis on a Horiba Aqualog spectrometer at either University of Alabama or Idaho State University. DOM excitation-emissions matrices and absorbance spectra were collected on a Horiba Aqualog from 249 to 830 nm at 5-nm increments at the University of Alabama and/or Idaho State University. Integration times varied from 2 to 4 seconds, based on sample concentration. EEMs were blank-corrected, Raleigh masked, inner filter effects were removed, and values were Raman-normalized using Aqualog software. Standard fluorescence metrics were calculated from corrected EEMs using the StaRdom package in R. These included: biological index, fluorescence index, humification index, and fluorescence at standard peaks: amino acid-like peak tyrosine (B) and amino acid-like peak tryptophan (T), humic-like peaks A and C, and humic-like peak M. Absorbance metrics were also calculated in StaRdom, including absorbance at 254 nm and absorbance at 300 nm; E2:E3, and absorbance slopes 275-295, 350-400, and 300-700, and slope ratio. Mean and standard deviation of triplicate samples are reported in data.

ABSTRACT:

This study was conducted in the Talladega research watershed (outlet location: 33.76219799, -85.59550775) in the Talladega National Forest (Cleburne County, AL, USA) as part of the Aquatic Intermittency effects on Microbiomes in Streams (AIMS) project, an NSF EPSCoR funded project (OIA 2019603). The project sought to explore the impacts of stream drying on downstream water quality across Kansas, Oklahoma, Alabama, and Idaho, integrating datasets on hydrology, microbiomes, macroinvertebrates, and biogeochemistry. The Talladega watershed drains a non-perennial unnamed tributary of Pendergrass Creek and contains 0.92 km2 of mixed coniferous and deciduous forest in the Piedmont Upland physiographic section. Located near Anniston, AL, the watershed spans an elevation range from 345 to 456 m above sea level and is a tributary to the Coosa River (within the larger Mobile-Tombigbee basin). The region has a humid subtropical climate, with mean daily January and July air temperatures of 5.3°C and 25.3°C respectively, and mean annual precipitation of 1,400 mm/yr.
We collected samples every ~3 weeks from October 7, 2021, to October 3, 2024, at the outlet of our watershed (TLM01, approach 1), seasonally at seven distributed sites (approach 2) and across 39 spatially distributed sites on June 9, 2022- June 10, 2022 (approach 3). We collected triplicate water samples for dissolved organic matter (DOM). We collected samples at the specified location when water was present using a syringe in a well-mixed area of the stream. We then filtered water through PES PLUS membrane syringe filters into clean, leached amber HDPE bottles following the AIMS Surface Water Chemistry SOP (Burgin 2024). Samples were refrigerated until analysis on a Horiba Aqualog spectrometer at either University of Alabama or Idaho State University. DOM excitation-emissions matrices and absorbance spectra were collected on a Horiba Aqualog from 249 to 830 nm at 5-nm increments at the University of Alabama and/or Idaho State University. Integration times varied from 2 to 4 seconds, based on sample concentration. EEMs were blank-corrected, Raleigh masked, inner filter effects were removed, and values were Raman-normalized using Aqualog software. Standard fluorescence metrics were calculated from corrected EEMs using the StaRdom package in R. These included: biological index, fluorescence index, humification index, and fluorescence at standard peaks: amino acid-like peak tyrosine (B) and amino acid-like peak tryptophan (T), humic-like peaks A and C, and humic-like peak M. Absorbance metrics were also calculated in StaRdom, including absorbance at 254 nm and absorbance at 300 nm; E2:E3, and absorbance slopes 275-295, 350-400, and 300-700, and slope ratio. Mean and standard deviation of triplicate samples are reported in data.