IES Logo SNOW DEPTH, SOIL FROST AND NUTRIENT LOSS IN A NORTH TEMPERATE FOREST
(A project funded by the interagency program on Terrestrial Ecosystems and Global Change (TECO)

 

Sections:

Principal investigators:

  • Peter M. Groffman, Institute of Ecosystem Studies
  • Timothy J. Fahey, Cornell University
  • Charles T. Driscoll, Syracuse University
  • Janet P. Hardy, U.S. Army, Cold Regions Research and Engineering Laboratory

Field and laboratory technicians:

Jason Demers, Institute of Ecosystem Studies
Ann Gorham, Institute of Ecosystem Studies
Brian Harrington, U.S. Army, Cold Regions Research and Engineering Laboratory
Scott Nolan, Institute of Ecosystem Studies
Sibylle Otto, Institute of Ecosystem Studies
Adam Welman, Institute of Ecosystem Studies
Cindy Wood, Cornell University

Graduate students:

Ross Fitzhugh, Syracuse University
Geri Tierney, Cornell University
Undergraduate researchers:

Paul Brown, Syracuse University
Desmond Cullimore, Syracuse University
Jena Ferrarese, Cornell University
Miandra Field, Syracuse University
Carrie Nielsen, Brown University
Kristen Whitbeck, Cornell University

Project Summary

Over the past four years, we have investigated the consequences of decreases in snow cover on biotic functions and biogeochemical processes at the Hubbard Brook Experimental Forest (HBEF), a northern hardwood-dominated forest in the White Mountains of New Hampshire (www.hbrook.sr.unh.edu). The HBEF has been the site of numerous biogeochemical studies, primarily focused on whole northern hardwood forest watershed ecosystem element budgets. While the importance of snowpack dynamics and winter climate on these budgets has been noted (Likens and Bormann 1995), there have been few detailed studies or experimental manipulations focused on overwinter processes. The objective of our experiment was to quantify the effects of decreases in snowpack accumulation on soil freezing, root dynamics of two key tree species (sugar maple, yellow birch) at HBEF, microbial biomass and activity, the chemistry of drainage water, and soil-atmosphere trace gas fluxes. In addition to the experimental work, Jordan et al. (in preparation) developed a model (SOILTHERM) of snow depth and soil frost dynamics that we use to analyze field data and to evaluate climate scenarios. A long-term (36 yr) database on streamwater chemistry is used in concert with this model to examine the effects of past natural freezing events on nutrient loss and to forecast possible future response under changing climatic conditions.

Site Characteristics

The HBEF is located near W. Thornton in central New Hampshire, USA (lat. 43°56 N, long. 71°45'W). The experimental forest covers an area of 3,138 ha and ranges in altitude from 222 to 1,015 m above sea level (Likens and Bormann 1995). Weather data has been collected at the HBEF Headquarters site since 1955. The mean air temperature is 19°C in July and -9°C in January. Average annual precipitation at HBEF is 140 cm. A continuous snowpack develops each year to a depth of approximately 1.5-m.

The forests of HBEF are a combination of deciduous and coniferous species typical of the northern hardwood forest ecosystem. American beech (Fagus grandifolia), sugar maple (Acer saccharum) and yellow birch (Betula alleghaniensis) dominate vegetation at HBEF. The forest was selectively cut in the 1880's and 1910's and some of the older stands were damaged by a hurricane in 1938. The soils at HBEF are characterized as mostly well drained, acidic (pH 3.9), spodosols (haplorthods) of sandy loam texture developed from unsorted basal tills. Soils are shallow (75 - 100 cm) with a thick (0.03-0.15-m) organic layer at the surface. The typically continuous snowpack insulates the soils, which usually remain thawed during the overwinter period (Likens and Bormann, 1995).

The specific sites for this study included two sites dominated (> 80%) by sugar maple and two dominated (> 80%) by yellow birch. The four sites are referred to as Sugar Maple 1 (SM1), Sugar Maple 2 (SM2), Yellow Birch 1 (YB1), Yellow Birch 2 (YB2) and vary in elevation, aspect and slope. Two 10 x 10 m plots were located in each stand, with one randomly designated as a treatment plot and one designated as a reference plot. In the fall and winter of 1996, we cleared minor amounts of understory vegetation from both treatment and reference plots for plot installations and to facilitate shoveling. Soil properties specific to our study sites were measured both in the field and in the laboratory.

Snow Manipulation

From the first autumn snowfall until early February, the designated treatment plots were kept snow free to simulate the effects of a late accumulating snowpack on the soil temperature regime, soil freezing, and below ground biogeochemical processes. This treatment was applied during two consecutive winters: 1997-98 and 1998-1999. As soon as practical after each snowfall, shovels were used to clear the treatment plots of the new snow. We manually compacted 5 to 10-cm of snow from early-winter storms to protect plot installations and the forest floor from shovel damage and to increase the albedo of the forest floor to aid in soil freezing. We used the smooth, backside of the shovels to carefully compact the snow and protect the soil from disruption prior to its freezing. This compacted snow layer was maintained throughout the entire treatment period and observations of the forest floor each spring confirmed that the protective compact layer of snow was effective. The reference plots accumulated snow at natural rates all winter and the treatment plots accumulated snow at natural rates after shoveling stopped in early February.

Instrumentation, Installation and Data Collection

Data on snow and frost depths, snow and soil temperature, volumetric soil moisture and soil water volume were collected from fall 1997 through spring 2000. This period is referred to as the "measurement period" which included two winter seasons of treatment and one winter season of "recovery."

Snow and frost depths were measured throughout the winter. We measured snow depths using a metal meter stick at least every other week, but not always at every site. Each measurement represents the mean of 10 to 100 randomly selected measures of snow depth. We took depth measurements immediately adjacent to the reference plot to avoid disturbing snow in the plot. During winter 1997-98, we calculated frost depths from hourly soil temperature data described below. This technique provided information on when soil temperatures, in 10-cm intervals, dropped below 0°C. To improve the accuracy and resolution of frost depth measurements, we installed frost tubes in the fall of 1998 (Ricard et al., 1976). We measured frost depth using the frost tubes every one to two weeks during the winters of 1998/99 and 1999-2000. During the thaw period we noted the timing and extent of soil thaw from the surface downward.

Thermistor probes and soil water lysimeters were installed in the fall of 1996 to allow soil disturbance effects to subside prior to the sampling period in fall 1997. We installed soil moisture time domain reflectometry (TDR) sensors in early summer of 1997. A Campbell Scientific CR10X datalogger sampled soil temperatures and moisture content every minute and stored hourly averages on a storage module. These sensors and the soil water lysimeters were installed by digging a soil pit approximately one meter wide by 0.6-m deep, while leaving the area upslope of the vertical pit wall undisturbed. Thermistor probes were installed horizontally into the vertical, upslope pit wall of both treatment and reference plots. They measured temperatures every 0.1-m depth in the soil to a depth of 0.5-m and every 0.2-m height in the snowpack to a height of 0.8-m.

Figure 1.
This is a lysimeter, TDR Soil Moisture probe, and thermistor pit shown during installation. The right half of the pit is about a meter deep, the left side is about 50 cm deep, and the pit is a little over a meter wide. In this photo, the lysimeter cups have been inserted fully into the soil face, as have the TDR probes and soil thermistors. The lysimeter collection reservoirs have been partially buried. The lysimeter cups will be connected to the reservoir bottles (to the tubing with black electrical tape on the tip). After complete installation the pit will be filled back in to a level flush with the forest floor.
(Click for detailed images.)

Duplicate, zero-tension (gravity) lysimeters were horizontally installed at the base of the Oa horizon, and in the uppermost portion of the Bs horizon. Soil solutions were sampled from the lysimeters at weekly to monthly intervals from June 1997 through November 1999, with the more frequent weekly sampling occurring during spring snowmelt. The volume of soil solution collected from each lysimeter on each sampling date was recorded. Additionally, minirhizotron tubes were installed to monitor dynamics of the fine roots as discussed below.
Figure 2a.
Winter sampling of lysimeter at Freeze Project Sugar Maple 1 Control Plot. Jason Demers.
(Click for larger image.)

Figure 2b.
Winter sampling of lysimeter at shoveled Freeze Project Sugar Maple 1 “Freeze” Plot. Adam Welman
(Click for larger image.)
Figure 2c.
Winter sampling of lysimeter at shoveled Freeze Project Sugar Maple 1 “Freeze” Plot. Adam Welman
(Click for larger image.)

Fine root dynamics
We used minirhizotrons to monitor dynamics of fine roots (< 1 mm diameter) (Fahey et al. 1999). Four clear plastic minirhizotron tubes were installed at a 45-degree angle in each of the eight plots during fall 1996. Tubes were installed to depth of obstruction by rocks, which varied from site to site with a mean of 21 +/- 5 cm standard error. Portions of the tubes exposed at the surface were covered with several layers of duct tape and the ends were capped to prevent entry of water and light. An index handle and a hole on each tube allowed positioning of the minirhizotron camera (Bartz Technology, Inc., Santa Barbara, CA) in exactly the same location on each measurement day. Styrofoam insulation was placed in each tube to minimize temperature differences between the tube environment and the bulk soil. Images were collected at 25-mm intervals along each tube approximately monthly during the snow-free season from July 1997 to October 1999. Measurements began before tubes had one full year for installation effects to subside (Joslin and Wolfe 1999), but disturbance due to installation should be similar between treated and reference plots. Winter conditions prevented measurements from late November until mid-April; thus, overwinter mortality and production are reflected in data from April, the first collection after snowmelt. On each date, from 30 to 38 images were collected from each tube along four axes filmed at about 45 degrees from the vertical along the upper and lower surfaces of each tube. In total our analysis included over 3,500 cm fine root length. Video images were captured to digital media and subsequently analyzed using RooTracker software (Craine and Tremmel 1995). Each month, the location, length, diameter and appearance of all new roots growing within each frame were recorded. Changes in size and morphology of each root were tracked through successive intervals. Roots were considered "dead" when they appeared extremely faint or transparent, became discontinuous, shriveled to a fraction of their previous width, or disappeared altogether. "Dead" roots were subsequently tracked until disappearance to yield a measure of time for root decomposition.

In situ net N mineralization and nitrification
Net N mineralization and nitrification were measured using an in situ intact core method (Robertson et al. 1999). During the growing season, 10, 2-cm diameter intact cores were removed from each plot. Five of the cores were returned to the laboratory for extraction (2 N KCl) of inorganic N (NH4+ and NO3-) and five were returned to the plot for in situ incubation. Cores were incubated for approximately 4 weeks before harvesting and extraction. Inorganic N was quantified colorometrically using a Perstorp™ 3000 flow injection analyzer. Net N mineralization rates were calculated as the accumulation of total inorganic N over the course of the incubation. Net nitrification rates were calculated as the accumulation of NO3- over the course of the incubation. Values were converted to an areal basis (g N m-2) using forest floor depth and bulk density values and mineral soil (to 10 cm) density values from Bohlen et al. (in press).

Figure 3a.
Winter sampling of “N-Min Cores” at shoveled Freeze Project Sugar Maple 1 “Freeze” Plot. This is a midwinter sampling event: the cores were taken in late fall, and left to incubate for several months. At this point the soil is frozen solid, so a chisel is necessary to remove the cores.
(Click for larger image.)

Figure 3b.
Winter sampling of “N-Min Cores” at shoveled Freeze Project Sugar Maple 1 “Freeze” Plot. This is a midwinter sampling event: the cores were taken in late fall, and left to incubate for several months. At this point the soil is frozen solid, so a chisel is necessary to remove the cores. In this photo, we have removed the snow crust that we have allowed to form over the forest floor in the “freeze” plots.
(Click for larger image.)
Figure 3c.
Winter sampling of “N-Min Cores” at shoveled Freeze Project Sugar Maple 1 “Freeze” Plot. This is a midwinter sampling event: the cores were taken in late fall, and left to incubate for several months. At this point the soil is frozen solid, so a chisel is necessary to remove the cores.
(Click for larger image.)

Figure 3d.
Location of soil core
(Click for larger image.)

For overwinter incubation, approximately 25 cores were collected in late November. Five of these cores were returned to the laboratory for immediate extraction and 20 were left to incubate in situ. Five cores were then harvested at approximately 4 wk intervals (January, February, March, April). Rates of N mineralization and nitrification were calculated from the month-to-month accumulation of total inorganic N and NO3- in the incubated cores. The November samples served as the "initial" extractions for all overwinter months (December through March) due to the difficulty of sampling frozen soil (Stottlemyer and Toczydlowski 1996).

Soil respiration
Soil respiration rates were measured in situ using the Li-Cor™ 6400 portable soil CO2 flux measurement system. Permanent chamber bases (10 cm diameter, 10 per plot) were placed in all plots in spring 1998. Rates were measured at approximately monthly intervals from June through November 1998, and from April through July 1999.

Denitrification
All cores that were collected for in situ N mineralization and nitrification analyses were also assayed for denitrification using an acetylene (C2H2)-based intact core method (Groffman et al. 1999). Cores were brought back to the laboratory, amended with 10 kPa and incubated at laboratory temperature for 6 hr. Gas samples were taken at 2 and 6 hr and stored in evacuated glass tubes until analysis for nitrous oxide (N2O) concentrations by electron capture gas chromatography. Values from overwinter cores are not reported due to the extreme difference between laboratory and in situ temperatures during winter.

Microbial biomass C and N, and potential net N mineralization and nitrification
Microbial biomass C and N content were measured using the chloroform-fumigation incubation method (Jenkinson and Powlson 1976), twice in 1998 (April, July) and three times in 1999 (April, July, October). Samples were fumigated to lyse microbial cells, inoculated with fresh soil and incubated for 10 days at 25oC at field moisture content. Carbon dioxide and NH4+ released during the incubation were assumed to be directly proportional to the amount of C and N in the microbial biomass of the original sample. Carbon dioxide (CO2) was measured by thermal conductivity gas chromatography and NH4+ was quantified colorometrically after KCl extraction as described above. A proportionality constant (kc = 0.41) was used to calculate biomass C from the CO2 produced during the incubation. No proportionality constant was used for biomass N, i.e. values are just the flush of NH4+ produced following fumigation and incubation.

Soil solution chemistry
Duplicate zero-tension (gravity) lysimeters, similar to the design of Driscoll et al. (1988), were installed below the Oa and within the Bs soil horizons at each plot during the autumn of 1996 (Hardy et al., this issue). An additional set of lysimeters was installed at the treatment plot of YB1 during the summer of 1998. Gravity lysimeters are believed to largely sample macropore flow during hydrological events and while the soil is draining to field capacity (Litaor 1988) and thus provide a sample of water exported from the ecosystem. Soil solutions were collected on 37 dates at weekly to monthly intervals from December 1997 through November 1999 and shipped on ice to Syracuse University for chemical analyses.

Soil solutions were stored at ~ 4 °C in a constant temperature room until analysis. Samples were analyzed for the following solutes: pH; acid neutralizgin capacity, dissolved inorganic carbon (DIC), dissolved organic carbon (DOC), ammonium (NH4+), nitrate (NO3-), soluble reactive phosphorus (SRP), total nitrogen (TN), sodium (Na+), potassium (K+), magnesium (Mg++) and calcium (Ca++). As concentrations of DIC, DOC, NH4+, NO3-, and SRP may change during storage, these analyses were completed as soon as possible (typically within 2 weeks of sample collection). Analyses of SRP were initiated in February 1998, while analyses of the other solutes were completed on all samples, sample volume permitting.

Analysis of DIC was via phosphoric acid addition to convert DIC to CO2, followed by infrared detection (Dohrmann 1984). Analysis of DOC occurred after filtration by persulfate and ultraviolet enhanced oxidation, followed by infrared detection of CO2 (McDowell et al. 1987). Ammonium was analyzed with an autoanalyzer via phenate colorimetry (APHA 1981). Nitrate was analyzed by ion chromatography (Tabatabai and Dick 1983). Soluble reactive phosphorus was measured through the formation of a blue antimony-phospho-molybdate complex and measurement on a UV-VIS spectrophotometer at 880 nm. This technique was believed to primarily measure ortho-phosphate but due to hydrolysis, some polyphosphate, organic phosphate, and metal phosphates may be detected. Inorganic P (Pi) was assumed to equal SRP. Total nitrogen (TN) was analyzed by persulfate oxidation and analysis of NO3- on an autoanalyzer via hydrazine reduction (Ameel et al. 1993). Dissolved organic N (DON) was calculated as the difference between TN and inorganic N (NH4+ + NO3-).

Soil solution pH was determined at the HBEF potentiometrically with a glass electrode within 24 hours of sample collection. Acid neutralizing capacity was measured by autotitration with strong acid and Gran plot analysis (Gran,1950). Acid neutralizing capacity could not be measured on samples collected from September 1999 onward as the result of failure of the autotitrator. Acid neutralizing capacity values during the last three months of the experiment were therefore missing. Sodium, K+, Mg2+, and Ca2+ were analyzed by ion chromatography (IC) on samples collected through January 1998 and by atomic absorption (AA) thereafter (Slavin 1968). Comparisons between results from IC and AA indicated that there were no significant differences in estimated concentrations between these methods.

Computation of hydrological flux
The hydrological fluxes through the Oa and Bs soil horizons were calculated using a simple mass balance model. Assuming that the vertical distribution of evapotranspiration (ET) within a soil profile corresponded with the distribution of fine roots, then 44% of ET occurred in the Oa horizon and above (forest floor horizons) (Fahey and Hughes 1994). From June through November when ET was significant, the daily hydrological flux through the Oa horizon was calculated based on this vertical distribution of ET and measured values of precipitation and stream flow at the biogeochemical reference watershed (W6) at the HBEF. From December through May when ET was less significant, the daily hydrological flux through the Oa horizon was assumed to equal daily stream flow at W6. The daily hydrological flux through the Bs horizon was assumed to equal daily stream flow throughout the year. Average solute concentrations for each pair of duplicate lysimeters on every sampling date were calculated using the volume of soil solution collected as a weighting variable. Solute fluxes through the Oa and Bs soil horizons were determined by multiplying these volume weighted average solute concentrations by daily hydrological fluxes. Hydrological fluxes were assumed to be equal among plots.

The hydrological fluxes predicted by the simple model were compared with those predicted by a more complex, process-based model of catchment hydrology developed for the HBEF, BROOK90 version 3.24 (Federer 1995). Catchment parameters for W6 of the HBEF were used in BROOK90 simulations. Input data (daily values of solar radiation, minimum and maximum air temperatures, vapor pressure, and wind speed) were obtained from the HBEF web page (www.hbrook.sr.unh.edu). BROOK90 was run beginning January 1996, allowing 23 months for soil water storage to "equilibrate." Model output from December 1997 through December 1998 was used to calculate hydrological fluxes through the Oa and Bs soil horizons. BROOK90 predicted that 105 and 101 cm of water flowed through the Oa and Bs horizons, respectively, while the simple model predicted that 132 and 108 cm of flux occurred through the respective horizons. While estimates of the hydrological flux through the Bs horizon were similar between BROOK90 and the simple model, the flux through the Oa from BROOK90 seemed unreasonably small (i.e., ET occurring below the Oa horizon was likely greater than 4 cm). The variation in hydrological flux among soil solution sampling dates was strongly correlated (p < 0.005) between predictions by the simple model and BROOK90, indicating that the temporal patterns of hydrological flux were similar between the simple model and BROOK90. We therefore concluded that the simple mass balance model was a reasonable tool for calculating hydrological fluxes through the soil horizons.

Final findings