Isotopic and Geochemical Fingerprinting of a Polygonal Arctic Ecosystem

Abstract:

Arctic tundra contain large C stocks and may be an important source of CO₂ and CH₄ over the next century due to a rapidly changing climate, degrading permafrost, and redistribution of water across high latitude landscapes. This presentation synthesizes geochemical and isotopic data and examines vertical and lateral factors and processes critical to predicting the C, N, and water balance of tundra ecosystems. Stable water isotope analyses (delta ²H and delta ¹⁸O) indicate that summer rain is the dominant source for active layer groundwater, with melting seasonal ice contributing to deeper pore waters in late summer. Microtopography and water table effects on geochemistry were apparent from a comprehensive spatial examination of active layer biogeochemistry, showing a number of significant differences in the concentrations of cations and anions for high- vs. low-centered polygons, microtopographic features (polygonal centers vs. troughs), and with depth. Results have implications for future nutrient availability with projected permafrost degradation and landscape evolution, suggesting greater availability of limiting nutrients (sulfate, phosphate, and nitrate) where polygons undergo a shift from low- to high-centered. Nitrate isotopes (delta ¹⁵N and delta ¹⁸O) indicated a predominantly microbial source for nitrate in high centered polygons active layers. However, atmospheric nitrate was preserved in permafrost, and may serve as a potential indicator of permafrost degradation. Additionally, results suggest that older, deeper C sources may be promoting a shift in methanogenic pathway, from predominantly acetoclastic to hydrogenotrophic. This mechanistic shift is attributed to the source and quality of available organic substrate. Overall, results showed substantial lateral and vertical variability in biogeochemical, biogeophysical, and hydrological processes across microtopographic- to landscape scales that needs to be accounted for in fine and intermediate scale models.