Abstract

We examined temperature dynamics across a 42-year period in a low-centered tundra polygon pond on the Arctic Coastal Plain of northern Alaska to assess potential changes in thermal dynamics for ponds of this type. Using water temperature data from a pond near Barrow (now Utqiaġvik), Alaska, studied intensively during 1971 – 73 and again in 2007 – 12, we built an empirical model coupling historical air temperatures to measured pond temperatures for four summers. We then used the model to predict summer pond temperatures over a 42-year span, including 1974 – 2008, for which direct aquatic temperature records do not exist. Average pond temperatures during the growing season (1 May through 31 October) increased by 0.5˚C decade-1 or 2.2˚C over the 42-year period. Our simulations predicted the average date of spring thaw for the pond as 2 June (± 3 d), which did not change over the 42-year time period. However, average pond temperature during the first 30 days of the growing season increased from 1971 to 2012, suggesting that recently, ponds are warmer in early spring. The average date of pond sediment freeze over the 42 years shifted later by 15 days, from 28 September in 1971 to 13 October in 2012. These changes correspond to a growing season that has increased in length by 14 days, from 118 days in 1971 to 132 days in 2012. Contemporary temperature measurements in other shallow tundra ponds in northern Alaska show a high degree of temporal coherence (r = 0.93 – 0.99), which warrants the general conclusion that tundra ponds on Alaska’s Arctic Coastal Plain have undergone a significant change in thermal dynamics over the past four decades. Our results provide a means to incorporate these pond types into larger-scale simulations of Arctic climate change.

Highlights

  • 30% of Alaska’s Arctic Coastal Plain consists of fresh surface water, with much of this total contributed by mosaics of small tundra ponds

  • Tundra thaw ponds in ice-rich permafrost are a dynamic feature of the land surface on the Arctic Coastal Plain: ponds often increase in size through thermal erosion and coalescence before draining and reforming, in a cyclical pattern occurring over centuries (Smith et al, 2005; Jones et al, 2011)

  • Our calibration model was built using two Fourier coefficient pairs for pond temperature and a single Fourier coefficient pair for air temperature, and it produced a strong fit to observed data (R2 = 0.81; RSME = 1.6; Fig. 2A)

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Summary

INTRODUCTION

30% of Alaska’s Arctic Coastal Plain consists of fresh surface water, with much of this total contributed by mosaics of small tundra ponds. While long-term records exist for atmospheric (e.g., Brohan et al, 2006) and marine temperatures (e.g., Rayner et al, 2006) and for freshwater lakes (e.g., Schneider and Hook, 2010), fewer data exist for Arctic freshwater ponds Because such small aquatic habitats represent more than 95% of total waterbody coverage on the tundra (Muster et al, 2013), this lack of data limits our understanding of how Arctic tundra ecosystems may be affected by climate change and may themselves influence climate dynamics. Coupled with existing early and recent pond temperature data, model results help to characterize pond thermal behavior across a 42-year period Understanding such long-term thermal dynamics is crucial to interpreting biological changes in these Arctic ponds (Lougheed et al, 2011; Andresen et al, 2016; Braegelman, 2016)

METHODS
Analytic Methods
RESULTS
Pond-sediment residual temperature
DISCUSSION AND CONCLUSIONS
15 June 2008 – 26 September 2010
Full Text
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