HR: 0800h
AN: C21B-0448 [Abstracts]
TI: Quantifying the Effects of Storm Track, Topography, and Vegetation on Chemical Loading to a Montane Snowpack, Valles Caldera National Preserve, NM
AU: * Gustafson, J R
EM: jrgustaf@hwr.arizona.edu
AF: Department of Hydrology and Water Resources and SAHRA, 1133 E. James E. Rodgers
Way, University of Arizona, Tucson, AZ 85721, United States
AU: Brooks, P D
EM: brooks@hwr.arizona.edu
AF: Department of Hydrology and Water Resources and SAHRA, 1133 E. James E. Rodgers
Way, University of Arizona, Tucson, AZ 85721, United States
AU: Veatch, W
EM: will@hwr.arizona.edu
AF: Department of Hydrology and Water Resources and SAHRA, 1133 E. James E. Rodgers
Way, University of Arizona, Tucson, AZ 85721, United States
AU: Broxton, P
EM: broxtopd@hwr.arizona.edu
AF: Department of Hydrology and Water Resources and SAHRA, 1133 E. James E. Rodgers
Way, University of Arizona, Tucson, AZ 85721, United States
AU: Losleben, M
EM: losleben@email.arizona.edu
AF: USA National Phenology Network, 1955 E. Sixth St., Tucson, AZ 85719, United States
AB:
The spatial variability of chemicals deposited in seasonal snow cover creates difficulty in estimating input of
potentially important sources of nutrients and pollutants into terrestrial and aquatic environments. This study
quantifies how vegetation, aspect, storm track, and event characteristics control the spatial and temporal
differences in snow chemistry and chemical load to a montane snowpack in the Valles Caldera National
Preserve, northern New Mexico. This work was conducted in coordination with two simultaneous studies, the first
addressing spatial differences in snow accumulation and ablation due to vegetation cover and the second
examining the influence of aspect on the transit time of melt water through our study catchments. Building on this
coordinated effort, this project will also link broader implications on the role of aspect and vegetation cover
through chemical and isotopic analysis.
Based on study design, we collected depth, density, stratigraphy and snow chemistry samples from six snow pit
locations on approximate monthly intervals between January and April 2007. Snow chemistry samples were
analyzed for major anions (Cl-, NO3-, SO42-), major cations (Ca2+, Na+,
K+), water isotopes, and biogeochemical nutrients (DOC, DN). Initial analysis of anion data suggests that
estimating anion loads with bulk snow samples versus layer distributed samples indicates bulk samples
underestimate anion load at peak accumulation (p < 0.05). Coefficients of variation (CV) are used to analyze
chemical load variability. CV's of anion loads vary spatially from 27% (Cl-) to 33%
(NO3-) and for nutrient loads from 34% (DN) to 39% (DOC) at peak accumulation. Dense vegetation
cover appears to strongly influence dissolved organic carbon but has no apparent affect on other solutes
suggesting that the vegetation is the source of the increased DOC load rather than enhanced atmospheric
deposition on trees. Preliminary storm track analysis indicates distinct NO3-/ SO42- ratios
are dependant on depositional wind direction. Storm deposits with westerly components appear to yield higher
SO42- concentrations producing lower ratios.
DE: 0740 Snowmelt
DE: 0793 Biogeochemistry (0412, 0414, 1615, 4805, 4912)
DE: 1806 Chemistry of fresh water
DE: 1863 Snow and ice (0736, 0738, 0776, 1827)
SC: Cryosphere [C]
MN: 2007 Fall Meeting