Section 1. Results of Prior Support

The research team for the initial 6-year phase of the McMurdo Dry Valleys LTER project (MCM-I) consisted of R. A. Wharton, Jr. (lead PI/limnologist), A. G. Fountain (glaciologist), D. W. Freckman (now D. H. Wall) (soil ecologist), W. B. Lyons (geochemist), D. McKnight (stream ecologist/hydrologist), D. L. Moorhead (ecological modeler), J. C. Priscu (limnologist) and C. M. Tate (stream ecologist). During MCM-I, we produced 68 papers in refereed journals, 32 book chapters, and 8 unrefereed journal articles, 7 dissertations and theses, over 95 abstracts from national and international meetings, and 37 papers in the NSF-Office of Polar Programs publication, Antarctic Journal of the United States. We supported 28 graduate students and 7 post doctoral fellows. A total of over 60 collaborators have been involved in MCM-I research. For more details, see the McMurdo LTER publications web page.

Results of the initial 6-year phase of the McMurdo Dry Valleys LTER project recently have been compiled and published in two synthesis volumes (1) Ecosystem Processes in Antarctic Ice-free Landscapes (Lyons et al. 1997) and (2)Ecosystem Dynamics in a Polar Desert: The McMurdo Dry Valleys, Antarctica (Priscu 1998, American Geophysical Unions Antarctic Research Series). These two books represent our first attempts at integration and present an overview and synthesis of ecosystem processes within this extreme environment, including interactions between physical, chemical, and biological components. In both books, the dry valley regions of Antarctica are presented within an ecosystem context representing a significant departure from earlier subject-specific compilations of Antarctic dry valley studies (Pickard 1986; Green and Friedmann 1993; Bormann and Fritzsche 1995). A CD-ROM also accompanies the Priscu volume and provides detailed geospatial data to support the text.

Prior to MCM-I, research in the MCM was sporadic, discipline-specific and lacked an integrated ecological basis. Among the most important contributions of MCM-I was the integration of these earlier site-specific studies on streams, lakes, glaciers, and soils, into an ecosystem perspective of Taylor Valley (the principle site of MCM-I investigations; Fig. 1.1). This framework has proven critical to evaluating both interactions among various elements of the MCM ecosystem and their responses to current and projected environmental change. Our work in addressing the LTER core areas of research and developing a modeling framework to simulate the functioning of the MCM ecosystem, provided a means of predicting ecosystem behavior. Below we summarize the main results of our research on each of the major landscape units (lakes, streams, soils, glaciers) including our progress in modeling and synthesis.


Fig. 1.1 TAYLOR VALLEY, southern Victoria Land, Antarctica, primary field location of MCM-I and MCM-II.
Meteorology: Climate drives and shapes all ecological systems, so all LTER sites include some degree of meteorological monitoring. However, MCM requires a particularly large meteorological program because no larger network of meteorological stations exists in the region, meteorological conditions show a high degree of spatio-temporal heterogeneity, and biological activities are particularly sensitive to microclimatic conditions. Our LTER Automatic Weather Network (LAWN) consists of eleven stations (Fig. 1.2) collecting all the standard meteorological variables as well as specific measures particularly important to the MCM (Doran et al. 1995). Significant differences in the climate regime in MCM occur over very short distances. For instance, the three main Taylor Valley lake basins lie within 20 km and 47 m elevation, but Lake Bonney experiences a continental climate driven by katabatic winds and Lake Fryxell experiences a maritime climate ( Table 1.1). The climate of Lake Hoare is transitional between the two, possibly because the Nussbaum Riegel (700 m high hill in the center of Taylor Valley) blocks moisture-bearing clouds from the ocean from reaching the Lake Bonney basin (Fountain et al. 1998; Lyons et al. in review b). This landscape feature controls the pattern of precipitation, humidity, and winds in Taylor Valley, which partly defines ecological conditions.


Table 1.1. Average meteorological conditions within three lake basins of Taylor Valley during summer (1994-96).
Basin Temperature (°C) Relative Humidity (%) Wind Speed (m/s) Solar Radiation (mmol/m²/s)
Fryxell
-7.7
59.3
3.4
76.0
Hoare
-7.4
59.7
2.8
57.0
Bonney
-6.7
53.3
4.6
45.6

The meteorological data have been used in most aspects of MCM-I research, such as predicting glacial melt (Dana et al. 1998) and streamflow (Conovitz et al. 1998; Lewis et al. in press, a; Fountain et al. 1998), and as drivers for soil ecosystem dynamics (Treonis et al. 1997) and ecological modeling (Moorhead and Priscu 1998). Indeed, micro-meteorological conditions have important implications for the distribution and productivity of the biological communities in terrestrial and aquatic environments. For example, low humidity and snow results in more arid and saline soils and limited soil biota in the Lake Bonney basin compared to the Lake Fryxell basin. Less snow cover within the Bonney basin also reduces albedo, which increases the melt water flux from glaciers and reduces interannual variability in streamflow (Fountain et al. 1998). Spatio-temporal patterns of solar radiation within Taylor Valley are strongly influenced by topography (Dana et al. 1998), and are modified by lake ice thickness and snow cover. The pattern in solar radiation influences primary production in the Taylor Valley lakes (Lizotte and Priscu 1998).

Glaciers: Our long-term program of glacier measurements is unique among LTER sites, and a critical component of the MCM project because melting glaciers provide the bulk of water to the streams and lakes in the MCM (Chinn 1993). For any given elevation, the annual mass balance decreases with distance away from the ocean in a manner consistent with the meteorological gradient (Fountain et al. in review). Changes in glacier mass define the magnitude of ice lost to evaporation and melt water to the streams and lakes. Results show that the glaciers have been increasing in mass since 1993, the start of MCM-I, which coincides with a period of cooler than normal summers and more than average snowfall. The larger glaciers seem to be advancing, but this advance is primarily a legacy of past climate, roughly 1000 years BP (Fountain et al. 1998).

To predict melt water flow from the glaciers, field measurements of the energy balance are collected from the glacier surface; 40-90% of the mass from the ablation zone (lower elevations) is lost to evaporation/sublimation but the remainder is lost as melt water (Lewis et al. in press, a). Previous studies concluded that air temperature was the dominant factor in controlling melt (Wharton et al. 1993). However, our work shows that snow cover is equally important and controls the variability in streamflow from different glaciers (Lyons in review b). Snow cover reflects solar energy that otherwise would be absorbed by ice. When snow cover exists during the early and late portions of summer, ice cliffs that form on the lower margins of the larger glaciers become important water sources that are critical to maintaining streamflow (Conovitz et al. 1998; Lewis et al. in press b).

Streams: The MCM streams flow during the summer and some contain abundant algal mats, persisting in a freeze dried state in winter. Compared to other stream ecosystems in the LTER network, MCM streams represent several extremes because of their lack of allochthonous organic inputs, high standing algal biomass, low primary productivity and low grazing losses (Webster and Meyers 1997; McKnight and Tate 1997). We have documented the range of productivity by mapping the distribution of algal mats at sites in 11 streams in Taylor Valley (McKnight et al. 1998; Alger et al. 1997). High algal abundance occurs in moderate gradient streams with a stable stone pavement in the streambed. In streams with sparse mats, parafluvial seeps draining the hyporheic zone are important habitats (McKnight et al. 1998).

We established a gauging network to monitor flow of major streams in Taylor Valley, and have shown that flow patterns are controlled by glacier melt and stream geomorphology, including water storage in the hyporheic zone (saturated area beneath and adjacent to the stream) (Von Guerard et al. 1995; Conovitz et al. 1998). Tracer experiments indicate rapid hyporheic exchange in MCM streams (Runkel et al., in press). Major cation and silicate data indicate chemical weathering generates solutes in the hyporheic zone and that weathering rates are high (Lyons et al. 1997b, 1998).

Previous work focused on the biogeochemical evolution of the lakes, but our data demonstrate that instream processes also influence lake chemistry (Moorhead et al. 1998). Monitoring of stream chemistry showed that nutrient concentrations are higher in streams without mats than in streams with mats (Table 1.2). We conducted a nutrient injection in a stream with abundant algal mats with injectate concentrations corresponding to drainage of nutrient-rich hyporheic water in late summer (55 M and 18 M for NO3(-) and PO4(3-), respectively) (McKnight et al. in review a). By 497 m below the injection, nutrients remained below detection (<1-2 M) during the arrival of the Cl tracer, illustrating rapid nutrient uptake. At two intermediate sites, production of NO2(-) and NH4()+ indicated occurrence of dissimilatory nitrate reduction in the hyporheic zone. We used a solute transport model with nutrient uptake represented as a first order process to determine reach scale parameters for N and P uptake. The best match to the experimental data was a model in which P uptake occurred in the main channel and N uptake occurred in the main channel and in the hyporheic zone, representing the loss due to dissimilatory nitrate reduction (7-16% of total N uptake).


Table 1.2. Visual Algal abundances for Taylor Valley Streams and related NO3 and PO4 values.

["Low" denotes <50% surface cover; "high" denotes >50% surface cover; ND denotes "no data available"]
Stream and Basin Total Stream Length (km) Visual Algal Abundance (Sites nearest
NO3 (uM)
the outlet)
PO4 (uM)
Fryxell Basin
Huey Creek
2.1
low
4.62
0.40
Canada Stream
1.5
high
0.74
0.25
Bowles Creek
0.9
high
0.71
0.21
Green Creek
1.2
high
0.79
0.15
Delta Stream
11.2
high
0.81
0.09
Von Guerard Stream
4.9
high
0.89
0.42
Hoare Basin
Andersen Creek
1.4
low
4.17
0.23
House Creek
2.0
low
3.91
0.65
Wharton Creek
1.0
low
ND
ND
Bonney Basin
Priscu Stream
3.8
low
5.98
0.36
Lawson Creek
0.3
low
12.17
0.21
Bohner Stream
1.9
low
9.28
0.61


Monitoring of stream chemistry has shown that the streams have high HCO3(-):DOC molar ratios (~4.5) compared to ratios of 1.0-1.6 for Arctic rivers (Gordeev et al. 1966; Cauwet and Sidrov 1996) and average ratios of 3.5 for rain forest streams (McDowell and Asbury 1994; LUQ). The higher HCO3(-):DOC ratios in MCM streams reflect the lack of terrestrial organic carbon input, the interannual preservation of freeze-dried algal mats and high weathering rates producing HCO3(-) (McKnight et al. 1991; Lyons et al. 1998). Measurements of stream suspended load (SSL) have shown that total SSL from the Fryxell and Hoare basins are much lower than those from the Bonney basin (Table 1.3). Stream DOC concentrations are more variable than particulate organic matter (POM) concentrations, and streams in Fryxell basin have higher DOC:POC ratios than those in Bonney basin. The Fryxell ratios are similar to those of tundra (2.6) and tropical (1.1) fluvial systems, while those of Bonney are closer to warm desert rivers/streams (0.4) (Ludwig and Probst 1996). Such differences in the partitioning of organic carbon reflect fundamental differences in carbon transport between basins.


Table 1.3. Sediment load, POC and DOC loading (mg/L) from Taylor Valley streams.
Stream Suspended Load POC DOC DOC/POC
Fryxell Basin
Green
1.4
0.6
1.25
2.1
Aiken
8.4
1.2
2.08
1.7
McKnight
4.2
1.0
1.50
Bowles
4.6
1.2
1.35
1.12
Mariah
17.8
0.7
0.53
Hoare Basin
Anderson
13.0
0.6
0.47
0.78
Bonney Basin
Lawson
52
1.3
0.47
0.47
Lyons
293
1.45
1.81
0.33
Santa Fe
362 +/- 30
2.7
0.68
0.48
Priscu
69
0.7

To understand the long-term persistence of stream algal mats, we studied a relict stream channel for which sustained flow was last recorded in the summer of 1969 (McKnight et al. in review b). We routed meltwater to the channel and found that relict algal mats began growing within a few days at rates exceeding those of mats in streams with regular summer flow, because of greater solute and nutrient concentrations. This long term experiment of MCM-I has shown that cryogenic preservation of algal mats in inactive channels allows for rapid response to climatic and geomorphological shifts.

Lakes: Although many lakes in the LTER sites develop winter ice-cover, lakes in the MCM are unique among LTER sites because they are covered by 3-6 m of perennial ice. This ice reduces light penetration and circulation, alters sediment pathways, severely reduces mixing, and restricts gas exchange with the atmosphere. Planktonic food webs also are unique in that they are limited to algae, bacteria, protozoans and rotifers (Laybourn-Parry et al. 1997; James et al. 1998). Our studies have provided fundamental information on the physical, chemical, and biological attributes of the three main lakes (Bonney, Hoare, and Fryxell) in Taylor Valley.

Changes in lake volumes represent regional climate change in the recent past, as lake levels generally have been rising from the 1960s to 1992, and Lake Bonney has been rising since 1905 (Chinn 1993). Measurements from 1993-98 indicate that lake levels are no longer rising significantly. These observations are consistent with measurements of streamflow and glacier mass balance and result from cooler temperatures and heavier snows during summers. The lack of physical mixing leads to stable physical and chemical stratification. The geochemistries of the surface waters and monimolimnia of the lakes are distinct (Table 1.4), implying differences in glacier source, stream length, stream channel geology, and different developmental histories, respectively (Lyons and Welch 1997; Lyons et al. 1998; Lyons et al. in review a).


Table 1.4. Chemical characteristics of Taylor Valley lakes, September 1995.
Lake
Depth (m)
Li (M)
Na (mM)
K (mM)
Mg (mM)
Ca (mM)
Cl (mM)
Br (mM)
SO4 (mM)
DIC (mmol)
Hoare
5
0.7
2.47
0.27
0.22
0.75
2.2
0.0022
0.42
1.72
Hoare
30
2.3
7.81
0.77
1.4
2.14
6.3
0.0062
0.92
8.18
Fryxell
5
1.6
7.9
0.54
0.99
1.35
7.59
0.009
0.45
4.68
Fryxell
18
16
117
4.79
13
3.76
99
0.141
1.58
48
W Bonney
5
3.1
10
0.36
1.47
1.79
12
0.022
1.54
0.91
W Bonney
38
656
1789
43
402
62
2299
5.06
47
78
E Bonney
5
3.6
12
0.381
1.78
2.05
14
0.028
1.73
1.41
E Bonney
39
1169
2701
67
1247
32
5100
19
36
3.66

Our data indicate that respiration exceeds primary production in the water column of MCM lakes (Lyons et al. in review b), despite extremely low inputs of allochthonous organic carbon (McKnight et al. 1993; Aiken et al. 1996). Thus, MCM lakes are net heterotrophic systems, much like other unproductive aquatic systems (del Georgio et al. 1997). The source of excess carbon is a large pool of organic carbon that appears to be a legacy of a previous stage in lake development (Aiken et al. 1996), as indicated by 14C dating of the POC pool (Doran 1996). The surface pool of POC in Lake Bonney is 10,000-13,500 yrs old (Doran 1996), but only 20% of it is refractory humic materials (McKnight et al. 1991). Therefore, the carbon dynamics of the MCM lakes are different than those of other lakes in the LTER network (NTL, HBR, NWT and ARC), and may be comparable to some lakes in Siberia where such legacy carbon also is being utilized as an energy source by modern communities (Zimov et al. 1997).

Phytoplankton communities in MCM lakes exist in an environment characterized by low light intensity. Light intensity and spectral composition vary with depth and phytoplankton occur in relatively distinct, stratified layers (Spaulding et al. 1994; Lizotte and Priscu 1998). A considerable degree of shade adaptation exists among phytoplankton (Neale and Priscu 1998). Vertical nutrient profiles suggest that deep maxima of primary production are driven by diffusion of nutrients from even deeper water, where nutrient pools have accumulated as a legacy of past stages in lake development (Priscu 1995). Although these systems lack many of the grazers found in aquatic communities, grazing by microzooplankton and protozooplankton may affect phytoplankton communities, and recent investigations are beginning to identify and quantify the taxa comprising planktonic food webs (Laybourn-Parry et al. 1997; James et al. 1998). An interesting discovery of MCM-I is that mixotrophic phytoplankton species have been identified and phagotrophy observed. Mixotrophy represents a survival strategy in that phytoplankton may utilize heterotrophic metabolism during prolonged periods of low light conditions (Moorhead and Priscu 1998). A study of the over-winter dynamics of phytoplankton in Lake Fryxell (Fig. 1.3) showed that mixotrophic species increased in abundance (McKnight et al. 1998). Large concentrations of virus-like particles have been found in Lakes Hoare and Fryxell (Kepner et al. 1997), suggesting a possible role of viruses as regulators of microbial community dynamics (Fig. 1.4).

MCM lakes also support abundant growths of benthic microbial mats. These mats are dominated by cyanobacteria and, though acclimated to the continuously low light environment, are always light limited. Light limitation has been used to explain the decrease in mat biomass with depth in Lake Hoare (Wharton et al. unpublished; Moorhead et al. 1997b). Lacustrine organic matter, representing a legacy of past productivity, is found in soils, perched deltas on the valley walls, and former lacustrine sand mounds on the valley floors. In modern times, organic matter does accumulate in the surface sediments of Lakes Fryxell and Hoare, mostly from benthic microbial mat production (Lawrence and Hendy 1985; Anderson et al. 1993; Doran et al. in review).

Soils: The MCM serve as a model system for elucidating the ecological roles of soil biota. Globally, there are no other soil systems where nematodes represent the top of the food chain and where food webs have such simple structure. The food webs in the soils are limited largely to algae, yeasts, bacteria, protozoans and nematodes (Freckman and Virginia 1997a, 1998). The majority of soils sampled across the valleys (65%) support up to three soil invertebrate taxa (tardigrades, rotifers, nematodes), although other sites show a complete lack of these invertebrates. Protozoa also contribute to the diversity of soil communities and may compete with the endemic microbial-feeding nematode, Scottnema lindsayae (Bamforth et al. 1996). Despite their trophic dominance, the species diversity of nematodes is very low (n = 3), representing only 2 functional levels (predator and microbivore) compared to 5 functional groups more common in other systems (e.g. JRN, SEV, CSGS, BNZ).

We investigated the distribution and functional significance of these low biomass and low diversity soil communities throughout the MCM. This information is being compared to our knowledge of soil biotic function in other arid systems, including those of the LTER network (JRN, SEV, CSGS). For example, detailed examinations of the survival and community ecology of soil nematodes in the MCM show that, in contrast to hot deserts where plant-related factors limit soil biotic communities, soil chemical factors may be most important in defining location and structure of communities (Freckman and Virginia 1997). There is no single soil property that defines a suitable or unsuitable habitat, but where soil biodiversity is reduced, soil physical and chemical heterogeneity is high (Freckman and Virginia 1997). We have found that ribosomal and mitochondrial DNA of Scottnema lindsayae varies across small (<1 m2) and large (60 km2) spatial scales, suggesting that the species may be evolving (to date, 11 distinct maternal lineages have been detected in the MCM, Courtright et al. in press). This evolution may be a response to the high spatial heterogeneity of the soil environment (Ho et al. 1995).

The simple food chains found in MCM soils appear to be strongly influenced by human disturbance. A long-term manipulation experiment shows that soil warming and increased moisture and carbon availability have major effects on the nematode community, decreasing the abundance of the omnivore-predator species, increasing the abundance of a microbivorous species (Freckman and Virginia 1997), and altering soil respiration (CO2 efflux). We presently are examining how community composition influences decomposition (Treonis et al. 1997; Burkins et al. 1997).

We have developed an initial soil carbon budget for the MCM based upon systematic regional sampling of soil profiles (Brown et al. 1996; Burkins et al. 1997). The natural abundances of 13C and 15N in soil organic matter indicate that relative contributions of marine, soil derived, and lacustrine (recent and legacy) sources to soil pools is a function of location in the MCM landscape (elevation; distance from lakes, streams, or paleolakes; distance from marine sources). Relationships between soil community structure, biological activity and quantity and source of soil organic matter suggest that the soil carbon cycle in the MCM represents an extreme end-member of global soil ecosystems, with an extraordinarily slow rate of C-cycling, perhaps comparable to Arctic peat.

Ecological Modeling: Our initial view of the MCM ecosystems was that biological communities were controlled primarily by temperature and hydrologic regimes, as they determine the availability of liquid water. However, energy availability likewise controls the location, structure and activity of MCM communities (Moorhead and Priscu 1998). Paradoxically, microsites with exposure to radiant energy also may be subject to rapid desiccation and potentially rapid freeze-thaw cycles that limit biological activity. A generalized ecosystem model has been developed to simulate energy and nutrient dynamics in MCM communities (Fig. 1.5). Organic matter may accumulate through on-site photosynthesis or allochthonous inputs, and be lost through on-site respiration, release of dissolved organic carbon or mechanical erosion by wind and water. However, ecosystems within the MCM differ with respect to the importance of various environmental controls. Because the activity of biota are restricted to those times and places with a favorable juxtapositio n of energy and moisture regimes, measurements of microclimate and energy availability needed to drive simulation models of primary and secondary productivity must be available at high resolution in both space and time. For these reasons, modeling activities of MCM I have focused on aquatic environments, for which patterns of moisture availability are known with some certainty.

To date, we have developed models to simulate primary production of benthic microbial mats found in stream and lake beds (Moorhead et al. 1997a, 1997b, 1998), as well as plankton communities in MCM lakes (Davis 1988). Photosynthesis of these communities saturate at low-light intensities, and Moorhead et al. (1997b) explored the ramifications of using different models of photosynthesis (rectangular hyperbolic, hyperbolic tangent and linear response models). We found that because stream mats usually are light-saturated, only maximum rates of photosynthesis affected simulation results. However, lake mats receive such low levels of radiant energy (Howard-Williams et al. 1998) that differences in low-light responses of the various models had substantial impacts on model behavior. These results demonstrated the critical need for monitoring light regimes within the water columns of MCM lakes at higher spatial and temporal resolution.

Results of our modeling studies suggest a positive, net annual primary production of microbial mats in streams and shallow depths in lakes, in part, because decomposition is slow and other hetrotrophic activity is virtually absent. For these reasons, organic carbon accumulates, consistent with the notion that ancient aquatic ecosystems in the MCM produced much of the organic carbon reservoir present in modern soils (Burkins et al 1997). This modeling approach also has been used to simulate immobilization of nitrogen by microbial mats in streams (Moorhead et al. 1998), and has shown that N immobilization approximates that required to balance net C fixation. This model now is being used to evaluate N and P limitations to the location and productivities of plankton communities in MCM lakes (Davis 1998).

Legacies and Linkages: Doran et al. (1994) and Lyons et al. (1997a) have summarized the importance of past climate conditions on MCM and the ecological legacies that these climatic changes have created, and Priscu (1995) has demonstrated the importance of these legacies on the current lacustrine ecosystem. A model of how past and present variations in climate have controlled the chemical and biological evolution of the MCM lakes has been developed (Lyons et al. in review, b). The degree to which the individual lakes interact with their surrounding environment (i.e. landscape position) is a key to the understanding of their past and present development. Present microclimatic variation and its manifestation over the past 6000 years have led to the differences observed in modern lakes. Heterogeneity characterizes organic carbon and nutrient distributions within modern landscapes as a result of past climate regimes. The PIs are also committed to five articles in Bioscience (due June 1998) on MCM-LTER with legacy as the central theme.

PUBLICATIONS FROM LTER MCM-I

Books

Refereed Journal Articles In Press In Review Book Chapters Antarctic Journal of the United States Theses/Dissertations Other Publications Abstracts
MCM-LTER Datasets Electronically Available - Field Data

LT
Category Title Short Term / Long Term Study  
I. Bathymetry  
Bathymetric Polynomials ST  
Bathymetry Raw Data Files ST  
Bathymetric Values From Contour Map Digitizing ST  
Depths, Areas, Volumes ST  
Bathymetric Hypsographic Function Values ST  
II. Geochemistry  
Major Ion Concentrations for Glacier Ice, Snow and Melt Water Samples LT  
Major Ion Chemistry for Miscellaneous Locations Throughout Taylor Valley ST  
Limnological Water Column & Pore Water Cations/Anions ST  
Limnological pHs LT  
Lake Nutrients LT  
Miscellaneous Stream Chemistry Samples Throughout Taylor Valley ST  
Stream Nutrients (nitrate, nitrite, ammonium, reactive phosphorus) LT  
Stream Chemistry / Dissolved Organic Carbon 1990-1993 LT  
Stream Chemistry / Major Ion Concentrations LT  
Stream Conductivity, pH 1990-1992 LT  
Major Ion Data for Lake Ice Samples ST  
Limnological Chemistry / Major Ion Concentrations LT  
III. Glaciology  
Glacier Snow Densities LT  
Glacier Mass Changes LT  
Average Stake Heights, Snow Depths Found at Glacier Stakes LT  
Glacier Stake Heights, Snow Depths LT  
Canada Glacier Ice Temperatures LT  
Canada Glacier Eddy Correlation Data ST  
Glacier Mass Balance Summary LT  
IV. Hydrology  
Discrete Stream Gage Measurements pre-1980 (pre-LTER) LT  
Mean Daily Stream Gage Measurements 1969-1997 LT  
Discrete Stream Gage Measurements 1980-1989 (pre-LTER) LT  
Discrete Stream Gage Measurements 1990-1997 LT  
Taylor Valley Water Budgets LT  
Field Meter Stream Measurements 1990-1997 LT  
V. Limnology  
Ice Thickness, Piezometric Depths for Taylor Valley Lakes ST  
Winter Phytoplankton 1990-1991 (pre-LTER) ST  
Chlorophyll-A Concentrations in Lake Hoare Benthic Mats 1996-97 ST  
Lake Chlorophyll, Primary Productivity, Respiration LT  
Phytoplankton Densities LT  
Dissolved Oxygen, Photosynthetically Active Radiation LT  
Bacterial Productivity and Density LT  
Lake Temperature and Conductivity LT  
VI. Meteorology  
Commonwealth Glacier Meteorological Station Measurements (1993-1997) LT  
Average Meteorological Measurements for Canada Glacier (1994-1997) LT  
Lake Brownsworth Meteorological Station Measurements (1994-1997) LT  
Lake Bonney Meteorological Station Measurements (1993-1997) LT  
Lake Vanda Meteorological Station Measurements (1994-1997) LT  
Canada Glacier Meteorological Station Measurements (1995-1996) LT  
Lake Hoare Meteorological Station Measurements (1993-1997) LT  
Lake Fryxell Meteorological Station Measurements (1993-1997) LT  
Lake Vida Meteorological Station Measurements (1995-1997) LT  
Explorer's Cove Meteorological Station Measurements (1995-1996) LT  
Taylor Glacier Meteorological Station Measurements (1994-1997) LT  
Howard Glacier Meteorological Station Measurements (1993-1997) LT  
VII. Soil Ecology  
Soil Organism Responses to Long-Term Soil Manipulation LT  
Chlorophyll-A Responses to Long-Term Algae Amendment LT  
Soil Moisture Responses to Long-Term Algae Amendment LT  
Soil Organism Responses to Long-Term Algae Amendment LT  
Chlorophyll-A Responses to Long-Term Soil Manipulation LT  
Soil Moisture Responses to Long-Term Soil Manipulation LT  
VIII. Stream Ecology  
Stream Algae Ash-Free Dry Mass (1994, 1995) LT  
Algal Species, Morphotype Descriptions ST  
Stream Algae Photosynthesis/Light Measurements (1995) LT  
Stream Algal and Moss Biomass (1994-1997) LT  
Stream Algae Primary Productivity (1995, 1996, 1997) LT  
Stream Invertebrate Taxa Qualitative Abundances (1994)  
Stream Algal Abundances (1994) LT  
IX. Study Locations  
Locations, Dates, Codes for Lake Chemistry, Biology Samples ST  
Stream Lengths for Taylor Valley Streams ST  
Stream Gage Locations ST  
Stream Transect Locations ST  
Coordinate List of Stream Transect Points ST  
Coordinate List of Stream Gage Features ST  
1993-94 Geodetic Survey Results / Stream Transect Reference Marks ST  
GPS Data, Optical Observations Producing Coordinate Files ST  
Glacier Stake Locations ST  
1996-97 MCM-LTER GPS Coordinate Locations ST  
Relative Positions of Stream Transect Line Points ST  
X. Data Extraction Tools  
Meteorological Data Extraction Tool LT  
Hydrological Data Extraction Tool LT  

When the database was located at DRI, the Antarctic hydrology and meteorologic data bases were publicly available. The Antarctic hydrology website was linked to other Antarctic websites (e.g. the ICAIR site) and USGS hydrologic websites, in addition to the LTER site. Unfortunately, we do not have documentation for the use of these databases by non-MCM-LTER scientists. Most other databases have only become publicly available since the transfer of the database to INSTAAR in the summer of 1997.