2022 Hydrological, chemical, and biological assessment of two New Mexico headwater streams
Data files
Mar 03, 2025 version files 7.36 KB
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AFDM.csv
172 B
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Alkalinity.csv
87 B
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Anions.csv
437 B
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Cations.csv
1.12 KB
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Discharge.csv
182 B
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Macroinvertebrates.csv
973 B
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Multiparameter_meter.csv
391 B
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Pebble_count.csv
512 B
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README.md
3.17 KB
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Site_locations.csv
243 B
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Turbidity.csv
81 B
Abstract
Headwater streams play a crucial role in arid and semiarid regions. They provide freshwater to adjacent lowlands and temporarily store water as snowpack and groundwater. Downstream users – both humans specifically and ecosystems more broadly – depend on the delayed release, particularly during dry seasons. Headwater streams are highly vulnerable to climate change through shifts in snowmelt dynamics, changes in precipitation patterns, evapotranspiration, and wildfire prevalence, among other factors. Monitoring headwater streams in dryland areas over time is therefore of critical importance.
Each year, graduate students enrolled in the Water Resources Program at the University of New Mexico monitor hydrological, chemical, and biological characteristics of two headwater streams in central New Mexico as part of a field methods class. This dataset contains measurements from the 2022 field campaign. At each stream site, measurements were repeated for two or three separate transects.
Las Huertas Creek (LH), the first monitoring site, is the only perennial stream in the Sandia Mountains along spring-fed reaches. The stream drains north from the northeastern slope of the Sandias towards the town of Placitas, running through a narrow and heavily forested canyon. Three transects range in elevation from 2190 m – 2320 m above sea level and were sampled on October 1, 2022. The second monitoring site is on the East Fork of the Jemez River (JR) within the Valles Caldera National Preserve. The primarily spring-fed stream runs through the montane grasslands of the caldera, a 20 km circular depression formed by a large volcanic eruption and subsequent land subsidence approximately 1.2 million years ago. Three transects are located at an elevation of approximately 2560 m above sea level and were sampled on October 22, 2022.
https://doi.org/10.5061/dryad.5mkkwh7gm
Description of the data and file structure
Headwater streams play a crucial role in arid and semiarid regions. They provide freshwater to adjacent lowlands and temporarily store water as snowpack and groundwater. The delayed release is particularly important during the dry season. Headwater streams are highly vulnerable to climate change, and monitoring over time is of critical importance. Each year, graduate students enrolled in the Water Resources Program at the University of New Mexico monitor hydrological, chemical, and biological characteristics of two headwater streams in central New Mexico as part of a field methods class. The two sites are Las Huertas Creek (LH) and East Fork Jemez River (JR). This dataset contains measurements from the 2022 field campaign.
Description of the data and file structure
The dataset consists of 10 .csv files. Each file contains 8 columns of data:
Column 1: Parameter description
Column 2: Units
Column 3: LH1 (Las Huertas transect 1)
Column 4: LH2 (Las Huertas transect 2)
Column 5: LH3 (Las Huertas transect 3)
Column 6: JR1 (Jemez River transect 1)
Column 7: JR2 (Jemez River transect 2)
Column 8: JR3 (Jemez River transect 3)
Description of the content for individual files are included below.
- AFDM
AFDM.csv lists ash free dry mass (AFDM) of the substrate and water column in % determined form samples collected at 6 transects.
- Alkalinity
Alkalinity.csv contains alkalinity in mg/L as CACO3 determined from water samples collected at 6 transects.
- Anions
Anions.csv contains concentration in mg/L for 7 anions based on water samples collected at 6 transects. Values with an asterisk (*) are based on one sample. All other values represent averages from two samples analyzed for each transect.
- Cations
Cations.csv includes concentration in mg/L for 26 cations based on water samples collected at 6 transects.
- Discharge
Discharge.csv lists measured discharge for 6 transects in L/s using the velocity-area method and the salt dilution method.
- Macroinvertebrates
Macroinvertebrates.csv lists benthic macroinvertebrate densities reported as individuals/m^2; each row contains the density for each recorded taxon at 6 transects.
- Multiparameter meter
Multiparameter_meter.csv contains the following parameters measured with a handheld meter at 6 transects: water temperature (°C), specific conductance (µS/cm at 25 °C), conductivity (µS/cm), dissolved oxygen (%), dissolved oxygen (mg/L), and pH. Missing values are indicated by "n/a".
- Pebble count
Pebble_count.csv contains grain size distribution (% finer) for 6 transects using the pebble count method.
- Site locations
Site_locations.csv contains latitude (decimal degrees), longitude (decimal degrees), and elevation in m above mean sea level (AMSL) of 6 transects.
- Turbidity
Turbidity.csv lists turbidity in nephelometric turbidity units (NTU) determined from water samples collected at 6 transects.
Discharge and Sediment
Discharge at each transect was estimated using two methods: (1) the velocity-area method, with velocity measured using a Marsh-McBirney Flo-Mate Model 2000 flow meter, and (2) the salt dilution (or slug injection) method after Hudson and Fraser (2005). Electrical conductivity (EC) for the salt dilution method was monitored in 10-second increments using a YSI Professional Plus multiparameter meter. Particle size distribution of the channel bed surface was characterized based on the pebble count method (Wolman, 1954) by randomly selecting 100 pebbles along a zig-zag pattern (Bevenger and King, 1995) and measuring them with a gravelometer.
Water Chemistry
The following water chemistry parameters were measured at three points (right bank, center, left bank) along a transect: water temperature (°C), specific conductivity (µS/cm at 25 degrees C), conductivity (µS/cm), (dissolved oxygen (% saturation and mg/L) and pH. The parameters were measured with a YSI Professional Plus multiparameter meter. Data are averaged across the three points. Turbidity (NTU) was also measured at three locations per transect using a LaMotte 2020e portable turbidimeter and averaged.
Water samples were taken to measure alkalinity in a lab environment; one liter of unfiltered water was collected at two locations per transect and placed in a HPDE collection bottle, which was stored under refrigeration until lab testing. Alkalinity was determined by using endpoint titration; the titrant was 0.02 N sulfuric acid, while indicator solutions used were phenolphthalein (for carbonate) and bromocresol green (for bicarbonate). Reported alkalinity data represent the average of two samples for each transect.
Additional water samples were collected to test the anion and cation concentrations in a lab environment. One anion and one cation sample were collected near the right bank and near the left bank at the transect. Approximately 50 mL of water was collected, filtered through a 0.45 µm glass fiber filter, and stored in a 50 mL centrifuge tube. A few drops of diluted nitric acid were added to only the cation samples, while nothing was added to the anion samples. All samples were stored under refrigeration until lab analysis. Cation concentrations were analyzed using inductively coupled plasma-optical emission spectroscopy (ICP-OES) with a Perkin Elmer Optima 5300DV instrument. Anion concentrations were analyzed using ion chromatography (IC) with a Dionex 1100 IC instrument. Cation and anion data represent the average of two samples for each transect.
Organic Matter and Benthic Macroinvertebrates
Organic matter was qualitatively sampled from three points (right bank, center, left bank) at each transect. Substrate was collected with a trowel while samples from the water column were collected in one liter Nalgene bottles. In the lab, water and substrate samples were processed for Ash Free Dry Mass (AFDM) (Steinman et al., 2017). The water samples were filtered through a 1.5 µm glass fiber filter. The filters and substrate samples were dried for 24 hours at 60°C, weighed, ashed at 500°C for 2 hours in a muffle furnace, and reweighed. The difference in weights was calculated as the % organic matter as AFDM. Reported AFDM data represent the average of three samples for each transect.
Aquatic macroinvertebrates were collected from a known area (measured in m2) at each transect using a D-frame net. Samples were preserved in 70% ethanol and stored in Whirlpak bags. In the lab, invertebrates were separated from organic/inorganic matter using forceps and a dissecting microscope, enumerated, and identified to Order (in most cases), using taxonomic references including Voshell (2002). Macroinvertebrate densities were calculated from raw counts as individuals/m2.
References
Bevenger, G.S. and R.M. King, 1995. A pebble count procedure for assessing watershed cumulative effects (Vol. 319). US Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station, Fort Collins, CO.
Harrelson, C.C; Rawlins, C.L., and Potyondy, J.P., 1994. Stream channel reference sites: an illustrated guide to field technique. Gen. Tech. Rep. RM-245. Fort Collins, CO: U.S. Department of Agriculture, Forest Service, Rocky Mountain Forest and Range Experiment Station. 61 pp.
Hudson, R. and Fraser, J., 2005. The mass balance (or dry injection) method. Streamline Watershed Management Bulletin, 9(1), pp.6-12.
Steinman, A.D., Lamberti, G.A., Leavitt, P.R., and Uzarski, D.G., 2017. Biomass and pigments of benthic algae, pp. 223-241 in (Hauer, F.R. and G.A. Lamberti eds) Methods in Stream Ecology: Vol. 1 Ecosystem Structure, Third Edition. Academic Press, Cambridge, MA.
Voshell, J.R., 2002. A Guide to Common Freshwater Invertebrates of North America. University of Nebraska Press, Lincoln, NE. 422 pp.
Wolman, M.G., 1954. A method of sampling coarse river‐bed material. EOS, Transactions American Geophysical Union, 35(6), pp. 951-956.
