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Cadmium geochemistry of soils and willow in a metamorphic bedrock terrain and its possible relation to moose health, Seward Peninsula, Alaska.

ABSTRACT: The regional geochemistry of soil and willow over Paleozoic metamorphic rocks in the Seward Peninsula, Alaska is potentially high in cadmium (Cd), and willow, a preferred browse of moose, bioaccumulates Cd. Local moose show clinical signs of tooth wear and breakage and have been declining in population for unknown reasons. Willow leaves (all variants of Salix pulchra) and A-, B-, and C-horizon soils were sampled near 2 mining prospects suspected to be high in Cd. Although Al, Cd, Co, Cu, Fe, Mo, Ni, Pb, and Zn were examined, our focus in this exploratory study was on the level of Cd in the 3 soil horizons and willow between and within the 2 prospects and their vicinity. We used an unbalanced, one-way, hierarchical analysis of variance (ANOVA) to investigate the geochemistry of soils and willow at various distance scales across the 2 prospect areas that were separated by ~80 km; sites within a location were approximately 0.5 km apart and replicate samples were separated by ~0.05 km. Cd concentration was significantly different in willow between and within sites, and within sites for all soil horizons. Specifically, this exploratory study identified highly elevated levels of Cd in willow growing over Paleozoic bedrock in the Seward Peninsula at both prospects and over the Paleozoic geologic unit in general. Potential negative effects for moose are discussed.

Key words: Alaska, Alces alces, cadmium, health, mineralized soil, moose, plasma-mass spectrometry, willow.


In 2002 the United States Geological Survey (USGS) initially studied the relationship between regional geology and the geochemistry of soils and vegetation that occur in specific geologic terrains. Specifically, how soil geochemistry and the uptake and bioaccumulation of toxic trace elements by native vegetation might ultimately affect the health of grazing herbivores (Eisler 1985, Brazil and Ferguson 1989, Gough et al. 2009); this relationship is increasingly important if animal health is threatened (Glooschenko et al. 1988). Moose (Alces alces) are an essential cultural and economic resource in northern regions, thus their health and numbers are a primary management focus of resource agencies (Maier et al. 2005, Schmidt et al. 2008). Local accounts of excessive tooth breakage (all moose >7 years old had broken incisiform teeth) and enamel defects in a declining moose population on the Seward Peninsula, Alaska raise special concern (Smith 1992, Rozell 2003, Stimmelmayr et al. 2006), yet the etiology of enamel defects are unclear.

We propose that a possible explanation for this local moose issue is elevated concentrations of Cd in their preferred willow (Salix spp.) browse, because high willow consumption can expose moose to elevated concentrations of Cd (Gough et al. 2002). In excess, Cd has numerous adverse physiological effects on mammals (Arnold et al. 2006, Kabata-Pendias 2011) including tooth and bone construction, uterus and mammary gland development, general growth inhibition, and renal tubular dysfunction (Eisler 1985, Larison et al. 2000). Excess Cd also competes with Cu, Zn, and Ca for active sites on enzymes, phytochelatins, and cysteine-rich metal-binding proteins (metallothioneins).

In general, there is a direct linear relationship between Cd concentration in plant material and soils (Kabata-Pendias 2011). Uptake in plants is affected by soil pH, carbonate and clay content, and Cd in plants is associated with its affinity for sulfhydryl groups and other side chains of proteins (Kabata-Pendias 2011). Uptake by plants is also affected by a number of physical and chemical soil features; as soil pH decreases, uptake increases (Hough et al. 2003), and uptake generally increases as the total amount in soil increases. Low microbial soil activity in soils, as in the study area, enhances oxic soil conditions which enhances uptake; conversely, permafrost and low soil temperatures reduce uptake. However, we reported previously that Cd is bio-accumulated in willow at levels several times higher than that in other native vegetation, up to 10-100 x greater at the same location (Larison et al. 2000, Gough et al. 2002, 2006). In areas of Alaska that lack diversity of winter forage species like the Seward Peninsula, moose consume willow almost exclusively and are known to remove >55% of the current annual twig growth (Bowyer and Neville 2003).

We hypothesize that bioaccumulation of Cd by willow in areas of Alaska naturally high in Cd may be detrimental to the health of moose (Gough et al. 2002) either by being directly toxic (nephropathy or poor bone construction) and/or by inducing Cu deficiency (Frank et al. 2000). The purpose of this pilot study was to describe the biogeochemistry of Cd in soil and willow in an area with documented physical abnormalities in moose and regionally elevated graphite and Cd concentrations in bedrock (J. Slack, USGS, pers. comm.).


The study occurred on the Seward Peninsula, Alaska at 2 locations, the Quarry Prospect and Big Hurrah transects (Fig. 1); both locations have a long history of placer gold mining (Collier et al. 1908, Kaufman 1986, Read and Meinert 1986). The 2 locations were separated by ~80 km, collection sites within each location were approximately 0.5 km apart, and within a site near replicate soil samples were collected ~0.05 km apart. The A-, B-, and C-horizon soil and willow leaf samples were collected from 21 sites combined.

Location 1 (Quarry Prospect transect) had 10 sampling sites located northeast of the Teller Road between the Sinuk and Cripple Rivers at approximately 64[degrees] 42' N latitude and 165[degrees] 45' W longitude (Fig. 1). The area of Arctic tundra/shrub tundra was at ~230 m elevation and extended from the Quarry Prospect (an excavated pit with abundant sulfide mineralization) northeast for 3 km. Bedrock geology of the area is composed of Paleozoic metamorphic rocks (Till et al. 1986, Till et al. 2011), and based on the map of Bundtzen et al. (1994), is within both the massive marble and the graphitic schist and quartzite members, the latter described as either carbonaceous, finegrained mudstones or mylonites. These units are known to be potentially high in Cd (Werdon et al. 2005b).

Location 2 (Big Hurrah transect) with 11 sites was east of the Council Road in an area of Arctic tundra/shrub tundra at elevation of ~120-150 m. The sampling transect circumnavigated a low hill (identified on USGS C-5 quadrangle map as hill 596) and was in the southern half of section 33 at approximately 64" 40' N latitude and 164[degrees] 15' W longitude. Bedrock geology of the area is defined as Ordovician to Precambrian graphitic schist and quartzite on the north, west, and south sides of the hill, and Ordovician to Precambrian schist on the east; both units are part of the Mixed Unit as identified by Till et al. (1986, 2011) and Werdon et al. (2005a, b). Like location 1, these geologic units are known to be potentially high in Cd (Werdon et al. 2005b).


Soil Samples

In general, soils of the Seward Peninsula ecoregion (Nowacki et al. 2002), sometimes referred to as the Norton Sound Highlands, are classified as Pergelic Cryaquepts to Pergelic Cryorthents (Rieger et al. 1979). These soils belong to the soil orders Inceptisol and Entisol, respectively, are both poorly- and well-drained, underlain by permafrost, and commonly form in gravely colluvium. Depth to permafrost varies depending on aspect (slope orientation) and elevation and was between 15-90 cm. Soil sample pits were dug to a depth that included the C-horizon.

Each sample was a mixture of soil that originated most commonly from the weathering of colluvium, bedrock, and loess. A-, B-, and C-horizon materials were collected, rocks were removed, and approximately 0.5 kg of the material was put into paper soil bags. Soil samples were dried under forced air at ambient temperature. The air-dried samples were disaggregated in a mechanical mortar and pestle and sieved at 2 mm (10 mesh), and the minus-2-mm fraction was saved for

further analysis. A split of the minus-2-mm material was ground to pass through a 0.15-mm sieve, using an agate shatter box. This material was subjected to chemical analysis using inductively coupled plasma-mass spectrometry (ICP-MS) following a 4-acid digestion protocol (Crock et al. 1999, Briggs and Meier 2002). A subset of A-, B-, and C-horizon soils was examined by quantitative x-ray diffraction (XRD) for their bulk mineralogical composition (Gough et al. 2008).

Plant Samples

Plant sampling was limited to the leaf material of the ubiquitous willow of the region, Salix pulchra (tealeaf willow; Fig. 2). Although many willows are not considered preferred browse species because of the presence of tannins and alkaloids (Hans-Joachim et al. 1979), S. pulchra contains relatively low amounts of these 2 substances and is actually preferred by moose. This species is quite common in areas throughout Alaska and Canada occurring within forests, at and above tree line, and in Arctic tundra with adaptability and propensity to form hybrids (Hulten 1968). It is easy to identify in the field, even without flowers or seeds, because of its broad, diamond-shaped to elliptical leaves and its tendency to retain the previous year's leaves and stipules; the latter trait makes the shrubs quite easy to identify at a distance. It is obvious from field observations that moose browsed on both leaves and twigs. The leaf material from at least 3 adjacent shrubs (in a radius ~5 m from a soil pit) was composited, placed in cloth sample bags, and allowed to air dry.

In the laboratory leaf material was placed in Teflon[R] beakers, submerged and rinsed in deionized water, and drained; this process was repeated 3 times. The material was then rinsed briefly with deionized water and allowed to drip drain, and forced air was used to dry the material at ambient room temperature. Samples were ground in a Wiley[R] mill to pass a 2-mm sieve, ashed in an oven at 450-500[degrees]C for 18 h, digested using the same 4-acid protocol as the soil samples, and analyzed using ICP-MS (Briggs and Meier 2002).


The study design was constructed to investigate differences in levels of Cd in willow and soil geochemistry between and within locations. An unbalanced, one-way, hierarchical ANOVA was performed (SYSTAT 11, SYSTAT[R] Software, Inc.) to assess possible significance where Cd was the response variable. The analyses were performed on the log base 10-transformed data because of the right-skewed nature of the data (Miesch 1976). Because the prospect locations and samples within locations were purposefully selected, this is considered a 'fixed effects' model procedure. This statistical design allows the partitioning of the total measured natural variation into its component parts, Level 1 and Level 2. Level 1 is the comparison of means between locations (the Quarry Prospect and Big Hurrah areas) and Level 2 compares the means within locations; the nearby samples are used to estimate the error term. All samples were analyzed in a random sequence to help negate any systematic errors that might occur in either sampling or analysis.

Factor analysis is a multivariate statistical procedure designed to describe variability by partitioning it into some smaller number of common factors and a component unique to each variable (Schuenemeyer and Drew 2011). It was used as an exploratory tool to examine possible correlations among the element concentrations. The goals were to 1) determine if the factors can be interpreted according to some geochemical association, and 2) determine if factors vary within and between willow leaves and soil horizons.


Soil Analysis

Although the soils sampled in the Seward Peninsula (mostly Pergelic Cryaquepts to Pergelic Cryorthents, Rieger et al. 1979) contain transported loess material, they are predominantly residual, organic in nature, and composed of weathered metamorphic bedrock and loess. The samples were analyzed for numerous elements (Gough et al. 2008); however, here we focus on the biogeochemistry of Cd and 8 other metals. The Quarry Prospect and Big Hurrah transects had 10 Cd samples in 7 levels (sample locations) and 11 Cd samples in 8 levels, respectively, for the A-, B-, and C-horizon soils. There were 13 Cd willow samples in 9 levels in Quarry Prospect and 8 samples in 6 levels in Big Hurrah. The bulk mineralogical composition of selected soil samples determined by quantitative XRD is presented in Table 1.

The hierarchical ANOVA using log base 10 values (Table 2) indicated that Cd concentrations in all 3 soil horizons were similar at the Level 1 effect (between locations); conversely, the Level 2 (within locations) effect was significant (P < 0.05; Table 2). We caution that sample sizes were small.

Summary statistics for the concentration of elements in willow and the A-, B-, and C-horizon soils at the Quarry Prospect and Big Hurrah transects are presented in Table 3. The main purpose of this table and units (log base 10) is to provide descriptive analysis (mean, standard deviation) and comparison among the elements and soil horizons. This comparison is best made when data are in log units since 1 or 2 observations can skew the mean and/or standard deviation (SD). The following is a descriptive analysis based upon inspection of means and SD and is not based on the results of statistical tests. These data (Table 3) are useful as preliminary geochemical baseline values for the 2 locations.

Sample means for Cd concentration among the soil horizons were higher in the Big Hurrah than Quarry Prospect, but not significantly different (P > 0.05); the same pattern occurred for Cu, Fe, Mo, and Ni concentrations. Conversely, sample means for Al, Co, Pb, and Zn were higher at Quarry Prospect in all soil horizons.

Willow Analysis

The ANOVA for Cd concentrations in willow leaves and soils is presented in Table 2; both the Level 1 and the Level 2 (Level 1) effects were highly significant (P < 0.001). The mean concentrations of Cd, Fe, Ni, and Zn from the horizon samples were consistent between the 2 transect locations (Table 3).

Factor Analysis

For the A-, B-, and C-horizon soils, the variables were logarithmically-transformed element concentrations expressed in parts per million (ppm). The choice of 3 common factors was made after examining the data, and a varimax (orthogonal) rotation was used. Since all concentrations are in log base 10 of ppm, factor analysis was performed on the covariance matrix. The factor analysis with the willow data was performed similarly except that Mo and Pb were omitted because of the presence of censored data (less than the detection limit).

The factor analysis is presented in Table 4 with the largest absolute values highlighted in each row. The numbers under the factor column headings are loadings (weights) of a chemical element on a factor. Element loadings may be considered to be the correlation between an element and a factor. For example, in the A-horizon, Cd loads heavily (0.778) on Factor 1 (i.e., Cd and Factor 1 are strongly associated), and lightly on Factors 2 (0.126) and 3 (0.198), and has a unique component of 0.339; the unique component usually contains error which is difficult to isolate. In total, the factor loading patterns were consistent across the 3 soil horizons. This is illustrated by Factor 1 in the A-horizon and Factor 2 in the B- and C-horizons loading heavily on Cd, Pb, and Zn, Factor 2 in the A-horizon and Factor 3 in the Band C-horizons loading heavily on Co and Fe, and Factor 3 in the A-horizon and Factor 1 in the B- and C-horizons loading heavily on Cu, Mo, and Ni (Table 4). Note that the variability accounted for by Factors 1 and 2 is approximately the same, so the fact that the pattern appeared in Factor 1 in the A-horizon and Factor 2 in the B- and C-horizons is not important. Unfortunately, there is no clear factor pattern in willow and the data set was too small to justify a specification of more than 3 factors.


In order to assess the scale of spatial variability in the concentration of Cd and other elements in soils and willow across the landscape, sampling occurred at 2 mineralized prospects separated by 80 km. The greatest difference in Cd concentration in soils occurred within locations across all soil horizons and not between the locations, indicating general uniformity in landscape geochemistry. For willow, an important proportion of the total biogeochemical variability of Cd occurred between and within locations. When one examines the distribution of Cd, these trends may be due to variation in soil mineralogy, especially in the amount of amorphous graphite present because it has been associated with Cd. Unfortunately, because the graphite in soils is amorphous, it is not detectable in the quantitative XRD procedure. Differences in the transition metals Cd, Co, Ni, and Zn may be explained by variability in the amount of graphite in the bedrock because in this terrain high graphite content correlates with high levels of transition metals (J. Slack, USGS, pers. commun.). For these elements, the geochemistry of the bedrock appears to affect the biogeochemistiy of the willow. Together, these trace element data show consistency among the soil horizons whereas, because of the too small data set, the pattern for willow could not be characterized.

This exploratory study identified elevated levels of bioavailable Cd in soils developed over Paleozoic metamorphic bedrock and local willow leaves on the Seward Peninsula, Alaska. Typical Cd content across a variety of plant foodstuffs (grasses, grains, vegetables, fruits) ranges from 0.005-1.3 ppm dry weight (Kabata-Pendias 2011), whereas in this study we found much higher levels of 0.65-42.0 ppm Cd in willow; the location means were 3.0 and 15.0 ppm. This corresponds to previous reports of high Cd concentrations in willow in Colorado (Larison et al. 2000) and Alaska (Gough et al. 2002). However, the levels from the Seward Peninsula are higher than those reported for willow in the Colorado ore belt (Larison et al. 2000). Because willow can bioaccumulate Cd, its role in the health of the local moose population is of concern given the endemic tooth breakage and negative physiological effects associated with elevated Cd in mammals. A direct moose tissue analysis was not performed, but would be warranted in the area.


The authors thank personnel of the Bering Straits Native Corporation, and especially I. Anderson of the Land and Resources Department for anecdotal historical moose information and allowing us access to native corporation lands. The bulk mineralogy for soils was provided by D. Eberl, USGS, Boulder. We also thank A. Till, geologist with the USGS in Anchorage, for providing the geologic base used in our figures and for her guidance in the field.


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Larry P. Gough (1), Paul J. Lamothe (2), Richard F. Sanzolone (2), Larry J. Drew (1), Julie A. K. Maier (3), and John H. Schuenemeyer (4)

(1) U.S. Geological Survey, National Center, MS 954, Reston, Virginia 20192; (2) U.S. Geological Survey, Box 25046, Denver Federal Center, Denver, Colorado 80225; (3) University of Alaska, P.O. Box 756720, Fairbanks, Alaska 99775; (4) Southwest Statistical Consulting, LLC, 960 Sligo St, Cortez, Colorado 81321, USA.

Table 1. Bulk mineralogy (quantitive XRD; Gough et al., 2008) for
representative samples of A-, B-, and C-horizon tundra soils developed
from bedrock and loess, Seward Peninsula.

[Op[??]t, Precambrian mixed unit of the Nome Group (chlorite-rich
schist and marble); Op[??]sq, Ordovician to Precambrian mixed unit of
the Nome Group (graphitic schist and quartzite); --, mineral was not

                                         Weight percent

Sample        Soil       Rock     Loss on             Potassium
identifier   horizon     unit     ignition   Quartz   feldspar

05AK011A        A      Op[??]t       8.8       39        0.4
05AK011B        B                    3.5       36        0.8
05AK011C        C                    4.2       35        0.4
05AK021A        A      Op[??]t       41        19        1.1
05AK021B        B                    3.5       44        2.5
05AK021C        C                    3.5       46        1.8
05AK131A        A      Op[??]sq      10        45        1.6
05AK131B        B                    8.8       47         2
05AK131C        C                    8.8       48        1.8

                                 Weight percent
identifier   Plagioclase   Calcite   Dolomite   Amphibole   Pyrite

05AK011A         2.3         --         --         --         --
05AK011B         1.5         --        0.1         --         --
05AK011C         1.3         --         --         --         --
05AK021A         1.6         --        0.2         --        0.1
05AK021B         2.1         0.2        --         --         --
05AK021C         2.1         0.2        --         --         --
05AK131A         2.1         --         --         --         --
05AK131B         2.2         --         --         --        0.1
05AK131C         2.2         --         --         --         --

                       Weight percent
identifier   Goethite   Apatite   Rutile   Peat

05AK011A       1.3        0.1      0.6      9.8
05AK011B       2.3        0.6      0.5      3.5
05AK011C       3.7        --       0.7      5.1
05AK021A       2.3        0.2      0.1      39
05AK021B       3.2        0.3      0.1      6.2
05AK021C       3.7        0.3      0.1      6.5
05AK131A       2.4        --       0.2      17
05AK131B       2.3        0.1       --      13
05AK131C       2.5        0.2       --      12

Table 2. Results of a hierarchical ANOVA of cadmium (Cd) concentration
(n = 21; data are in log base 10) measured in 3 soil horizons and
willow leaves in the Quarry Prospect and Big Hurrah regions, Seward
Peninsula, Alaska, USA.

Source                 Sum of    Degrees of freedom   Mean squares

                                   A-Horizon Soil

Level 1                 0.029            1               0.029
Level 2(Level 1)        3.266            13              4.487
Error                   0.336            6               0.015
Total sum of squares    3.631

                                   B-Horizon Soil

Level 1                 0.098            1               0.098
Level 2(Level 1)        4.849            13              0.373
Error                   0.257            6               0.043
Total sum of squares    5.204

                                   C-Horizon Soil

Level 1                 0.128            1               0.128
Level 2(Level 1)        4.604            13              0.354
Error                   0.387            6               0.065
Total sum of squares    5.119


Level 1                 1.622            1               1.622
Level 2(Level 1)        4.333            13              0.333
Error                   0.092            6               0.015
Total sum of squares    6.047

Source                 F-ratio   p-value

                         A-Horizon Soil

Level 1                  0.517   0.499
Level 2(Level 1)         4.487   0.038 *
Total sum of squares

                         B-Horizon Soil

Level 1                  2.285   0.181
Level 2(Level 1)         8.700   0.007 *
Total sum of squares

                         C-Horizon Soil

Level 1                  1.978   0.209
Level 2(Level 1)         5.489   0.023 *
Total sum of squares


Level 1                150.362   0.0001 *
Level 2(Level 1)        21.648   0.001 *
Total sum of squares

*, significant at the 0.05 probability level.

Table 3. Summary statistics for the concentration of selected elements
measured in willow leaves and A-, B-, and C-horizon soils in the
Quarry Prospect and Big Hurrah regions, Seward Peninsula, Alaska, USA.
Cadmium (Cd) results are highlighted; "--" = not determined due to the
presence of values below the detection limit. The detection ratio
expresses the number of values above the detection limit to the total
number of analyses.


               Mean         Std dev     Detection
Element    log base 10    log base 10     ratio

                   Quarry Prospect Transect

Al, ppm        1.818         0.185        10:10
Cd, ppm        0.478         0.553        10:10
Co, ppm       -0.578         0.390        10:10
Cu, ppm        0.935         0.167        10:10
Fe, ppm        1.992         0.130        10:10
Mo, ppm        --            --            6:10
Ni, ppm        0.072         0.228        10:10
Pb, ppm        --            --            2:10
Zn, ppm        2.390         0.243        10:10

                     Big Hurrah Transect

Al, ppm        1.868         0.208        10:11
Cd, ppm        1.187         0.231        11:11
Co, ppm        0.358         0.335        11:11
Cu, ppm        0.826         0.100        11:11
Fe, ppm        2.022         0.159        11:11
Mo, ppm        --            --            7:11
Ni, ppm        0.810         0.200        11:11
Pb, ppm        --            --            0:11
Zn, ppm        2.211         0.137        11:11

                       A-horizon soil

               Mean         Std dev     Detection
Element    log base 10    log base 10     ratio

                   Quarry Prospect Transect

Al, ppm        4.729         0.172        10:10
Cd, ppm        0.080         0.546        10:10
Co, ppm        1.040         0.135        10:10
Cu, ppm        1.341         0.099        10:10
Fe, ppm        4.550         0.083        10:10
Mo, ppm       -0.207         0.172        10:10
Ni, ppm        1.346         0.168        10:10
Pb, ppm        1.608         0.676        10:10
Zn, ppm        2.445         0.537        10:10

                     Big Hurrah Transect

Al, ppm        4.665         0.159        11:11
Cd, ppm        0.133         0.303        11:11
Co, ppm        0.908         0.323        11:11
Cu, ppm        1.702         0.203        11:11
Fe, ppm        4.560         0.253        11:11
Mo, ppm        1.083         0.219        11:11
Ni, ppm        1.683         0.239        11:11
Pb, ppm        1.166         0.214        11:11
Zn, ppm        2.173         0.172        11:11

                         B-horizon soil

               Mean         Std dev     Detection
Element    log base 10    log base 10     ratio

                   Quarry Prospect Transect

Al, ppm        4.822         0.153        10:10
Cd, ppm       -0.099         0.653        10:10
Co, ppm        1.092         0.146        10:10
Cu, ppm        1.341         0.135        10:10
Fe, ppm        4.628         0.091        10:10
Mo, ppm       -0.258         0.204        10:10
Ni, ppm        1.399         0.185        10:10
Pb, ppm        1.641         0.676        10:10
Zn, ppm        2.433         0.602        10:10

                     Big Hurrah Transect

Al, ppm        4.749         0.138        11:11
Cd, ppm        0.005         0.357        11:11
Co, ppm        1.019         0.353        11:11
Cu, ppm        1.813         0.171        11:11
Fe, ppm        4.673         0.238        11:11
Mo, ppm        1.134         0.186        11:11
Ni, ppm        1.782         0.229        11:11
Pb, ppm        1.241         0.169        11:11
Zn, ppm        2.268         0.202        11:11

                         C-horizon soil

               Mean         Std dev     Detection
Element    log base 10    log base 10     ratio

                   Quarry Prospect Transect

Al, ppm        4.819         0.153        10:10
Cd, ppm       -0.050         0.637        10:10
Co, ppm        1.163         0.145        10:10
Cu, ppm        1.356         0.105        10:10
Fe, ppm        4.674         0.114        10:10
Mo, ppm       -0.272         0.146        10:10
Ni, ppm        1.467         0.146        10:10
Pb, ppm        1.653         0.661        10:10
Zn, ppm        2.448         0.601        10:10

                     Big Hurrah Transect

Al, ppm        4.754         0.117        11:11
Cd, ppm        0.073         0.365        11:11
Co, ppm        1.101         0.295        11:11
Cu, ppm        1.878         0.190        11:11
Fe, ppm        4.697         0.222        11:11
Mo, ppm        1.155         0.209        11:11
Ni, ppm        1.832         0.193        11:11
Pb, ppm        1.266         0.150        11:11
Zn, ppm        2.310         0.195        11:11

Table 4. Factor analysis of the concentration values (n = 21; data are
in log base 10) for Al, Cd, Co, Cu, Fe, Mo, Ni, Pb, and Zn measured in
3 soil horizons and willow leaves in the Quarry Prospect and Big
Hurrah regions, Seward Peninsula, Alaska, USA. The symbol "-"
indicates not calculated because of the presence of censored data;
also not used in the cumulative variance calculation (see text).
Element                Factor 1    Factor 2    Factor 3    component

Factor loadings for the A-horizon

Al, ppm                  0.352       0.568                   0.545
Cd, ppm                  0.778       0.126       0.198       0.339
Co, ppm                  0.200       0.975                   0.005
Cu, ppm                              0.263       0.902       0.118
Fe, ppm                  0.120       0.831       0.246       0.234
Mo, ppm                 -0.112      -0.257       0.921       0.073
Ni, ppm                              0.510       0.791       0.110
Pb, ppm                  0.871       0.199      -0.210       0.158
Zn. ppm                  0.968       0.217      -0.108       0.005
Cumulative variance      0.277       0.551       0.824

Factor loadings for the B-horizon

Al, ppm                 -0.121       0.296       0.474       0.673
Cd, ppm                  0.318       0.800       0.238       0.202
Co, ppm                              0.171       0.982       0.005
Cu, ppm                  0.967                   0.173       0.026
Fe, ppm                  0.300       0.128       0.858       0.157
Mo, ppm                  0.901      -0.177      -0.267       0.085
Ni, ppm                  0.789                   0.457       0.160
Pb, ppm                 -0.215       0.890       0.157       0.138
Zn. ppm                              0.984       0.164       0.005
Cumulative variance      0.291       0.578       0.839

Factor loadings for the C-horizon

Al, ppm                              0.333       0.599       0.523
Cd, ppm                  0.329       0.792       0.276       0.188
Co, ppm                              0.203       0.976       0.005
Cu, ppm                  0.958                               0.069
Fe, ppm                  0.212       0.159       0.875       0.164
Mo, ppm                  0.929      -0.110      -0.218       0.076
Ni, ppm                  0.847                   0.359       0.143
Pb, ppm                 -0.225       0.866       0.223       0.150
Zn. Ppm                              0.979       0.189       0.005
Cumulative variance      0.302       0.584       0.853

Factor loadings for Willow

Al, ppm                  0.103                   0.992       0.005
Cd, ppm                  0.993                               0.005
Co, ppm                  0.656       0.688                   0.096
Cu, ppm                 -0.551                               0.693
Fe, ppm                                          0.608       0.623
Mo, ppm                                                        -
Ni, ppm                  0.659       0.711       0.235       0.005
Pb, ppm                                                        -
Zn. Ppm                  0.172      -0.726       0.126       0.428
Cumulative variance      0.314       0.530       0.735
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Author:Gough, Larry P.; Lamothe, Paul J.; Sanzolone, Richard F.; Drew, Larry J.; Maier, Julie A.K.; Schuene
Geographic Code:1U9AK
Date:Jan 1, 2013
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