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skytruth http://www.flickr.com/photos/skytruth/5453897534/in/set-72157625949361693/
Jonah Natural Gas Field
1986 2008
Using Lichens to Monitor Nitrogen Deposition Near Natural Gas Drilling in the Wind
River Range, WY Jill A. McMurray1, Dave W. Roberts2, Mark E. Fenn1, Linda H. Geiser1, Sarah Jovan1
US Forest Service1
Montana State University2
• Rapid expansion of natural gas drilling in the last decade has
raised concerns about the potential ecological effects of
nitrogen deposition to the western Wind River Range (WRR),
WY. We asked the following questions:
• What is the quantity (kg ha-1year-1) of reduced, oxidized, and
total dissolved inorganic nitrogen (DIN) depositing in the
Wind River Range (WRR)?
• What is the spatial distribution of N deposition in the WRR?
• Can N concentrations from Letharia vulpina and Usnea
lapponica be calibrated against annual N throughfall (TF)
deposition (kg ha-1year-1) to provide an economical means to
maximize future monitoring?
• In the summer of 2010, nine temporary 0.378 hectare
circular plots were established in the WRR just outside the
Bridger Wilderness (FIA P3 Field Guide 2011). At each plot,
nine passive ion exchange resin-filled collectors (IER) were
installed to measure throughfall (TF) deposition (Fenn and
Poth 2004). In addition, lichen thalli from Letharia vulpina
and Usnea lapponica were collected for elemental analysis
(Geiser 2004).
• Two to three plots were installed in four different drainages
on the west side of the WRR in either mature Pseudotsuga
menziesii or Picea engelmannii dominated forests.
• After one year IER tubes were removed and two to four
samples (at least 10 grams) of lichen thalli were collected
from each plot for analysis.
• N concentrations in lichen thalli can be used to estimate N
deposition in the Wind River Range.
• N deposition in the Boulder drainage is elevated (>4.0 kg ha-
1year-1) with clear empirical evidence of damaged lichen
thalli.
• All other drainages are near background conditions which
suggests a local and not a long-distance source of N
pollution.
• Monitoring should continue in the WRR to track changes in
and increase spatial resolution of N deposition.
• DIN deposition ranged from 0.78 – 4.13. The three highest
DIN measurements were from the Boulder Drainage (Fig 1).
• N concentrations in U. lapponica and L.vulpina ranged from
1.19 – 2.42 and 0.97- 1.56 respectively. Lichen thalli % N
was highest in plots closest to oil and gas fields (Fig. 2).
• Linear relationships existed between TF N and % N in
lichen thalli (Fig 3-5).
• Lichen samples were cleaned of debris (Geiser 2004) and
sent to the University of Minnesota Research Analytical
Laboratory for total ash and N analyses. Ions were extracted
from IER tubes with 1 M KI (Fenn and Poth 2004) using an
analysis procedure modified from Simkin et al (2004)
• Within and between plot variation for both lichen N
concentrations and IER TF measurements were evaluated
with the coefficient of variation and standard error.
• Simple linear regression was used to approximate the
relationships between lichen N concentrations and TF
deposition kg ha-1 year-1 for NO3-–N, NH4
+–N and DIN (R
Development Core Team 2011).
Study Need and Questions Asked
Methods
Analysis
Results
Conclusions
Study Area
Fenn, M.E, & Poth, M.A. (2004). Monitoring nitrogen deposition in throughfall using ion exchange resin
columns: a field test in the San Bernardino Mountains. J. Environ. Qual., 33(6), 2007-2014.
Forest Inventory and Analysis Phase 3 Field Guide, version 5.1. (2011). http://www.fia.fs.fed.us/library/field-
guides-methods-proc/docs/2012/field_guide_p3_5-1_sec21_10_2011.pdf
Geiser, L. (2004). Manual for Monitoring Air Quality Using Lichens on National Forests of the Pacific
Northwest. USDA-Forest Service Pacific Northwest Region Technical Paper, R6-NR-AQ-TP-1-04. 126 p.
R Development Core Team (2011). R: A language and environment for statistical computing. R Foundation for
Statistical Computing, Vienna, Austria. ISBN 3-900051-07-0, URL http://www.R-project.org/.
Simkin, S.M., Lewis, D.N., Weathers, K.C., Lovett, G.M., and Schwarz, K. (2004). Determination of sulfate,
nitrate, and chloride in throughfall using ion-exchange resins. Water, Air, and Soil Pollut. 153, 343-354.
Sverdrup, H., McDonnell, T.C., Sullivan, T.J., Nihlgård, B., Belyazid, S., Rihm, B. (2012). Testing the feasibility
of using the ForSAFE-VEG model to map the critical load of nitrogen to protect plant biodiversity in the Rocky
Mountains Region, USA. Water, Air, and Soil Pollution, 223(1), 371-387.
References
Figures
Lichens
Letharia vulpina & Usnea lapponica
BLO BMD BUP PCM PCF GRM GRG BSH BSD
DIN
Ammonium_N
Nitrate_N
Throughfall deposition
kg
/ha
/yr
01
23
45
Boulder Pine Creek Green River Big Sandy
Fig 1. Annual TF N deposition from four drainages in the Wind
River Range. DIN refers to total dissolved inorganic N
(ammonium N plus nitrate N). The red line represents
background levels of N deposition in the Northern Rockies as
estimated by Sverdrup et al. (2012).
1.2 1.4 1.6 1.8 2.0 2.2 2.4
1.0
1.5
2.0
2.5
3.0
3.5
4.0
% N Usnea lapponica
Th
rou
gh
fall D
IN (
kg
/ha
/yr)
TF N = 3.05(%N) - 3.12
adj R^2 = 0.91
p = >0.001
DIN
1.2 1.4 1.6 1.8 2.0 2.2 2.4
0.5
1.0
1.5
2.0
2.5
% N Usnea lapponica
Th
rou
gh
fall N
fro
m N
H4
(kg
/ha
/yr)
TF N = 1.73(%N) - 1.70
adj R^2 = 0.92
p = 3.07e-05
Ammonium
1.2 1.4 1.6 1.8 2.0 2.2 2.4
0.5
1.0
1.5
% N Usnea lapponica
Th
rou
gh
fall N
fro
m N
O3
(kg
/ha
/yr)
TF N = 1.31(%N) - 1.39
adj R^2 = 0.75
p = 0.0015
Nitrate
Throughfall IER monitors
Table 1 Coefficient of variation (CV) for within and between plot measurements of
lichen thalli. Usnea = U. lapponica and Letharia = L. vulpina.
Within plot CV
±
Between plot CV
±
Between vs. Within
Usnea N 0.03 0.23 6.93
Letharia N 0.04 0.15 3.98
TF total N 0.32 0.78 2.42
TF NH4+–N 0.39 0.80 2.06
TF NO3-–N 0.52 0.92 1.76
Table 2 Measures of throughfall N deposition (kg N ha-1
year-1
) and lichen N
concentrations (% dry weight) in the Wind River Range. Elev = elevation, Dist. =
distance to the middle of the PA gas field, DIN = dissolved inorganic nitrogen. SE =
standard error. Usn. = U. lapponica and Let. = L. vulpina.
Plot Drainage Elev.
(m)
Dist.
(km)
DIN SE
DIN
% N
Usn.
% N
Let. BLO Boulder 2248 24.5 4.13 0.47 2.42 -- BMD Boulder 2241 25.5 3.24 0.34 1.90 1.56 BUP Boulder 2256 26.0 1.81 0.18 1.62 1.34 PCM Pine Creek 2713 39.5 1.21 0.11 1.54 -- GRM Green River 2661 78.5 1.01 0.13 1.19 -- BSH Big Sandy 2800 41.5 0.97 0.10 1.39 -- GRG Green River 2409 68.0 0.91 0.10 1.29 1.12 PCF Pine Creek 2288 42.5 0.90 0.13 1.40 1.24 BSD Big Sandy 2706 42.5 0.78 0.07 1.38 0.97
Table 3 Regression models and approximated equations. * = Note, since linear
regressions are not inverse relationships (due to differences in horizontal and vertical
errors) one equation could not be used to solve for both lichen species.
Model Regression equation R2 n p-value
TF DIN (y) vs. U. lapponica % N (x) y = 3.05x – 3.12 0.91 9 <0.001
TF NH4+–N (y) vs. U. lapponica % N (x) y = 1.73x – 1.70 0.92 9 <0.001
TF NO3-–N (y) vs. U. lapponica % N (x) y = 1.31x – 1.39 0.75 9 <0.01
TF DIN (y) vs. L. vulpina % N (x) y = 4.26x – 3.77 0.78 5 <0.05
TF NH4+–N (y) vs. L. vulpina % N (x) y = 1.70x – 1.19 0.57 5 0.087
TF NO3-–N
(y) vs. L. vulpina % N (x) y = 2.56x – 2.59 0.84 5 <0.05
L. vulpina% N (y) vs U. lapponica % N (x) y = 0.99x – 0.29 0.83 12 <0.001
U. lapponica % N (y) vs L. vulpina% N (x)* y = 0.84x + 0.48 0.83 12 <0.001
Green River, Pine Creek, Boulder, Big Sandy represent
the three drainages in which this study took place.
Fig. 2. Log Transformation for N concentrations in U.
lapponica vs distance from the center of the Pinedale Anticline
natural project area. curve = 7.54 – 3.38x +0.39x2. r2 = 0.76, p =
0.006. The points in the center of the graph are not co-located.
Fig. 3-5. Simple linear regression of %N in lichen vs. throughfall (TF) dissolved inorganic N, NO3—N, and NH4
+-N deposition (kgha-1year-1).
Dotted lines represent 95% confidence bands.
3.2 3.4 3.6 3.8 4.0 4.2 4.4
0.2
0.3
0.4
0.5
0.6
0.7
0.8
0.9
log (distance km)lo
g(N
co
nc. U
. la
pp
on
ica
)
BLO
BMD
BUP
GRG
GRM