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AGU Fall Meeting 1995

Poster H32C-8, page F231


How Large are the Regional Differences in Surface Heat and Moisture Fluxes in Alaskan Arctic Tundra?


Werner Eugster, F S Chapin III, G L Gamarra and J P McFadden

Dept. of Integrative Biology, University of California, Berkeley 3060 VLSB, Berkeley, CA 94720-3140

e-mail: eugster@giub.unibe.ch

1. Introduction

To assess the regional variation in surface heat and moisture fluxes on the North Slope of Alaska, we used a new experimental approach to flux measurements - portable, mobile eddy covariance instrument towers (see Section 2).

The question is: how many landscape or vegetation types have to be distinguished in the arctic tundra, to be able to represent this environment adequately in mesoscale meteorological or global scale climate models (MM4; GCM)?

We present first results from the field season 1995. Please see also poster H32C-3 for 1994 results.

2. Experimental Layout

Two eddy correlation towers were equipped with ATI sonic anemometers and Licor 6262 CO2/H2O gas analysers to measure heat, moisture and CO2 fluxes. Additional micrometeorological measurements were recorded as well (air temperature, rel. humidity, net radiation, shortwave incomming radiation, photosynthetic active radiation, ground heat flux, surface soil temperatures). In collaboration with other research groups we have the following information available at each site:

soil properties (description, organic matter, water content, ...)

active layer depths

microtopography (including microrelief, slope and aspect)

plant species composition

leaf area index and stem area index

canopy heights

The two towers were set up simultaneousely at different sites for approximately 10 days, and then were moved to another pair of sites. Ten tundra sites plus one lake surface, Toolik lake, (Figure 1) covered the major vegetation types of the North Slope and the range of soil moistures (Figure 2).

For comparisons between different pairs of sites (non-simultaneous measurements) data from three permanent eddy correlation towers run by G. Vourlitis and W. Oechel (San Diego State Univ.) will be used.

3. First Results

The comparison of three pairs of sites is presented here using very preliminary data (no corrections applied yet). Two days with fair weather were selected for each of these sites.

Figure 3 shows a comparison between a non acidic tussock tundra vegetation type that occurs on loess soils of pH 7.5-8 versus an acidic tussock tundra vegetation type on soils of pH 3-4. These are the two major vegetation types covering 38.9% and 30.8% of the Kuparuk River basin which stretches from the Brooks Range roughly 240 km towards the Arctic Ocean. These two sites are a few km apart. The altitude differs by 100 m.

Figure 4 shows flat-centered (moist) and low-centered (wet) polygons on the coastal plain. The sites are separated by 750 m. Polygons are periglacial structures of permafrost typical in the coastal zone.

Figure 5 shows two different types of shrublands. The willows on a sandy riverbar in the Sagavanirktok River were slightly more productive (more CO2 uptake during daytime) than the watertrack shrubs (dwarf birches and willows).

4. Conclusions

Our preliminary analyses show that there is a relationship between latent heat flux and soil water availability. One important focus of our analyses will be on the importance of surface moss cover as a controlling factor on these fluxes. Moss cover generally acts as an insulator, making the soil colder but the surface warmer. Under high water availability situations typical for tundra environments, evaporative water loss from mosses could be a major part of the latent heat flux, since shrubs and forbs can close stomatal openings to decrease water loss. In order to be able to calculate climate scenarios the feedbacks between vegetation, surface and soil properties and the fluxes as a function of the solar forcing factor will be quantified. The three pairs of examples show large differences in the absolute flux values obtained from similar weather conditions (note that the ordinates show different scales in Figures 3 to 5). A thorough investigation of all the dependencies on weather conditions will be performed to make the Mobile Tower measurements directly comparable.

Acknowledgements

This project is a contribution to the Land-Atmosphere-Ice Interactions component of the NSF-funded Arctic System Science (ARCSS) program.

Figure 1: Mobile tower and permanent tower locations (flux measurements) on the North Slope. The 11 sites cover a roughly 200 km north-south transect between the Arctic Ocean and the Brooks Range. The latitude is approximately 70° N.

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Figure 2: Volumetric water content of the top 5 to 10 cm soil slab at the 11 sites. Four samples per site at same locations as ground heat flux and soil temperature measurements. The shaded lines indicate the range of small-scale variability at the individual sites. Large labels indicate the sites shown on this poster.

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Figure 3: Sensible heat (H), latent heat (LE) and CO2 fluxes for the two vegetation types which are most important on the North Slope. LE does not differ significantly, although leaf area index is higher in acidic tundra. High values of H in the afternoon are probably due to local upslope winds, otherwise H values are similar. The CO2 flux shows the difference according to the difference in leaf area index.

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Figure 4: Sensible heat (H), latent heat (LE) and CO2 fluxes for two important landscape types near the arctic coast. Leaf area at these two sites is comparable. Low-centered polygons have a shallow open water surface in the center, which makes them clearly colder than flat-centered polygons, which do not have a wet surface. This has a significant impact on H and a smaller impact on LE. CO2 fluxes do not differ significantly.

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Figure 5: Sensible heat (H), latent heat (LE) and CO2 fluxes of shrub tundra. River bar shrubs are the most productive vegetation type in the tundra (highest CO2 uptake). However, the cold river water and cold up-valley winds reduce sensible heat flux H under certain conditions (14 July), but less on other days (16 July). LE consistently shows higher evapotranspiration from the riverbar, where water availability never is a limiting factor.

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© 1995 by Werner Eugster ( eugster@giub.unibe.ch) 12/95