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                  <text>WTPT 2011

Seglund

WHITE-TAILED PTARMIGAN OCCUPANCY REPORT
2011

AMY SEGLUND
WILDLIFE CONSERVATION COORDINATOR
COLORADO PARKS AND WILDLIFE

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Introduction
In 2010, the white-tailed ptarmigan (Lagopus leucura; WTPT) was petitioned to be listed as
threatened under the Endangered Species Act. The petitioners cited climate change and its
impacts to a species dependent on alpine habitats as the main threat to the viability of WTPT
populations. Colorado supports the largest population of WTPT in the lower 48 states. Thus, if
the species does become listed, Colorado Parks and Wildlife (CPW) will be responsible for the
bulk of the protection and management of the species, yet understanding of the species
distribution and demographic parameters is limited.
To develop a baseline distribution and inventory of the species, statewide occupancy surveys
were conducted in 2011. These surveys will be used to respond to the petition to list the WTPT
and to monitor populations as climate change and other disturbances impact the viability of the
species over time.
Objectives for 2011 Occupancy Surveys
1. Assess status of the WTPT statewide using occupancy sampling. The baseline data
collected from surveys will help inform future monitoring efforts by supplying derived
estimates of detection probabilities and percent occupancy which can be used to generate
a monitoring program with sufficient precision for adequate management of the species.
2. Use field collected data to test accuracy of the current Predicted Range Model to aid in
site-selection for a long-term monitoring program, assess potential habitat and
connectivity of populations and investigate potential threats to the species.
3. Collect feathers to assess genetic variability and connectivity of populations using DNA
from samples.
Methods
The primary parameter of interest in the monitoring program was the number of occupied units
measured within the predicted summer range of the WTPT. The predicted range was defined
using the following criteria: all areas &gt; 3292 m in elevation and Colorado GAP vegetation types
that included Mixed Tundra, Meadow Tundra, Prostrate Shrub Tundra, Bare Ground Tundra,
Exposed Rock, Shrub Dominated Wetland/Riparian, and Graminoid/Forb Dominated Wetland
(Hoffman 2006). Colorado GAP data was used instead of SWReGAP because information was
needed for both the states of Colorado and Wyoming during development of the model. Once
the model was created, CPW District Wildlife Managers (DWM) and area biologists made edits
in Species Activity Mapping sessions to help refine the information.
The sampling frame used to select a population of 60 plots for sampling statewide was derived
from overlaying a grid of 5.3 x 4.6 km plots across the range of the WTPT. Only plots that
contained a minimum of 50% suitable habitat within their boundaries based on the predicted
range model were selected for sampling. Within each of these larger plots, a cluster of 4 plots
(cluster; 200 m x 200 m; 100 meters distance apart) were randomly positioned within modeled
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habitat. The reasoning for the different spatial scale surveys was to investigate the size of plot
needed to achieve an adequate occupancy rate for future monitoring, identify protocols that can
be replicated, and to evaluate spatial variation measurements for the species that can be locally
abundant but rare across its entire range. The sampling frame was divided geographically into
three strata with 20 plots per strata; sites north of Interstate 70, sites between Interstate70 and
Highway 50, and sites south of Highway 50. Based on long term weather station data, the
northern strata has been shown to receive more consistent snow fall and less consistent summer
monsoonal moisture and conversely, the southern strata has had less consistent winter moisture
and more consistent summer monsoons.
Two independent surveys were completed per plot to estimate the detection probability for
WTPT. Estimation of this parameter is critical for occupancy modeling. Because detection
probabilities may be a function of covariates, a number of variables considered important to
detection probability estimation were collected on plots. These covariates included: 1) time of
day survey was conducted; 2) time spent surveying for WTPT on plots; 3) area covered during
survey efforts; 4) the number of days the survey was conducted; 5) weather data; 6) bird
detection technique, and 7) habitat type detection occurred in.
Large Plots: For WTPT occupancy surveys of large plots, only suitable habitat within the plot
boundary was surveyed. Suitable habitat is considered alpine at or above treeline (Braun 1971,
Braun et al 1993 as cited in Hoffman 2006). The most important vegetation features used by
WTPT are presence of willows (Salix spp.), rocky areas (large rocks of 30 cm diameter
comprising 50% of ground cover), moist alpine meadows and snow fields (Choate 1963, Braun
1971, Frederick and Gutierrez 1992 as cited in Hoffman 2006). Willows are important because
they serve as the primary food source from late fall to early summer whereas rocky areas and dry
tundra lying near snow fields and other moist areas become the most commonly used sites from
mid-summer to early fall. WTPT use high rocky windswept ridges and mountain tops where
slopes are moderate to low angle. Cliffs and steep slopes are rarely used other than for escape
routes.
To identify potential habitat to survey, observers reviewed the predicted range model overlaid on
satellite imagery in the Google Earth files provided. This helped guide observers to the location
of patches to survey. In addition, observers used topographic maps and aerial photos to help
decipher potential habitat and to determine access to the habitat within plots. Not all potential
habitat within plots was accessible.
The maximum amount of time the observer was allowed to survey suitable habitat within a plot
was 12 hours (this amount of time did not include the time it took to hike to suitable habitat
patches in a plot or the time it took to get to a plot). This 12 hour time limit could occur over
several days, but could not extend past a consecutive 4 day time period. Surveys in suitable
habitat were thought to be most productive in early morning hours (6-10am), but surveys could
be completed anytime of the day. Each survey effort was conducted by a pair of observers. This
was to maintain consistency among surveys and for safety.

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To increase our detection probability for a cryptic species, playbacks were used to attract birds
within plots during surveys. Playbacks of chicks have been shown to double the number of
females detected in study areas (Braun et al. 1973). Playbacks of chick calls assist in detection
of females with chicks or females with recently failed reproductive attempts. Females will
respond to chick distress calls by clucking, making themselves visible by coming into the open,
jumping onto a boulder, or by running/flying to the call source (Braun et al. 1973). Females
readily respond to playbacks from mid-July to late August/early September when chicks range in
age from 2 to 7 weeks of age (Braun et al. 1973, Gregory Wann pers. comm. 2011). Male
territorial calls were used to attract male birds. Males will readily respond to territorial calls by
responding with their own call or flying to the source of the call.
A positive detection of a WTPT was either a visual of a bird or an auditory response of a male
call. Positive detections did not include scat or feathers found on the plot. When a WTPD was
detected, a UTM coordinate was collected from the location and the number of birds, sex of birds
(if it could be determined) and age (chick or adult) of birds observed were recorded. Photos
were taken at sites where WTPTs were detected in order to help characterize the site. In
addition, information on surrounding vegetation, presence of rocks, talus and permanent snow
fields within 100 m of detections were collected as well as evidence of human disturbance.
Disturbances noted included presence of hiking trails, dirt roads, paved roads, mining operations,
reservoirs or other human recreational activities such as camping.
A survey of a plot was considered complete once all suitable habitats within the large plot had
been surveyed, the time limit (12 hours) or day limit for surveying was reached, or when a
positive detection of WTPT occurred on the plot.
Small Plots: Three sets of a cluster of 4 small plots were randomly positioned within the large
plot boundary. The observer assigned to a plot selected whichever of these available clusters to
sample based on available habitat and accessibility. Cluster plot sampling versus single plot
sampling was conducted to boost sample size for small plots surveys and increase power to
detect differences in proportion of smaller plots occupied. All plots contained in a cluster were
surveyed as an independent sample.
Cluster plot boundaries were located with GPS units that contained coordinates of the corner
points of a plot. The cluster plots were surveyed in the same manner as the large plots with
playback surveys being conducted. The survey of cluster plots occurred within the same week
that occupancy surveys were conducted within the corresponding larger plot. Surveys of cluster
plots were completed within a 24 hour sample period. The same information regarding
surrounding vegetation and disturbances that were recorded in the larger plot survey effort were
recorded for cluster plots with detections and for plots without detections.
Helicopter Survey: Helicopter surveys were conducted at 8 large plots in the central strata; small
plots were not surveyed. This was done to examine if aerial surveys could be incorporated into
the occupancy sampling to access difficult plots and to determine if aerial surveys could be an
effective technique to use for future long-term monitoring efforts.
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Non-Targets: Observers were asked to collect information on non-target species of interest
including brown-capped rosy finches (Leucosticte australis) and pika (Ochotona princeps).
Information collected was limited to a UTM coordinate of location detected. For pika, only one
UTM per colony or talus area was recorded, points were not recorded for every animal
encountered. For brown-capped rosy finches, a UTM coordinate of location of observation and
number and sex of animals seen were recorded.
In addition, any predator species present while surveying suitable habitat in a plot were recorded.
This included both avian and mammalian predators.
Feather Collection: Though presence of WTPT feathers was not recorded as a positive detection
of a WTPT on a plot, it was asked that observers look for feathers in habitats and collect them if
they were located. CPW is working with US Geological Survey (USGS) Science Center in Fort
Collins Colorado to: 1) document the distribution of genetic variation across all locations
sampled during occupancy surveys, 2) evaluate levels of connectivity among the three different
strata sampled in Colorado and 3) examine levels of heterozygosity among individuals. From
feather samples collected, DNA will be extracted and each individual will be genotyped using
~20 microsatellite markers. The microsatellite markers are the same markers that have been used
to genotype WTPT at two long-term study sites at Mt. Evans and in Rocky Mountain National
Park. Thus, the data generated will be directly comparable to data collected elsewhere in the
state and throughout the species’ range.
Results
Large plots: Fifty-nine of the 60 large plots available for sampling were visited, with 55 of the
plots having two visits. Of the 59 plots visited, 57 were occupied (Figures 1-4). The occupancy
rate for stratum 1 was 0.974 (SE 0.062) while stratum 2 and 3 both had an occupancy of 1.00
(Table 1). Because our occupancy rate was almost 100%, the implication is that our sample unit
was too large for the species of interest and may not be adequate for long-term monitoring.
Additional work is needed to identify the appropriate plot size for occupancy surveys.
The probability of detecting a WTPT was surprisingly high mostly aided by the use of playbacks.
However, we did find variations in the group of observers conducting surveys. The calculated
probability of detection of a WTPT for hired technicians was 0.747 (SE .046) and was 0.441 (SE
0.072) for biologists and DWMs that conducted surveys. Discrepancies between calculated
detection probabilities may have been due to experience conducting surveys or the multi-tasking
of efforts required of biologists and DWMs versus technicians. The amount of effort expended
by each group and the time of day the survey occurred did not appear to impact detection
probabilities.
The number of birds detected on large plots from July 13-October 4 was 103 males, 64 females,
135 chicks, and 76 unknown sex. The largest group of birds recorded during surveys was a flock
of 30 birds. Due to the project success at detecting hens and chicks, we calculated a reproductive
estimate for all plots sampled in August. This was based on the assumption that evaluating
average brood size in late August is a good measure of chick survival (Braun and Roger 1971).
In the 2011 survey effort in August we counted 29 hens with at least one chick, 9 hens with no
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chicks, and a total of 90 chicks for a reproductive success estimate of 2.37. This estimate is
similar to what has been recorded at the two long-term study sites in Colorado (G. Wann pers.
comm. 2012).
Alpine was the dominate habitat type birds were located in based on field observations where
data were collected. Ninety-four percent of the sites had either a talus or rock/cliff component
within 100 meters of an observation (Table 2). Only 6 sites did not have rock or talus detected
near an observation. Of the rock component at sites, the average coverage fell within the
category of 25-50%. Human disturbance was recorded at 38 sites with 27 observations near
hiking trails, 9 near dirt 4x4 roads, 7 near old mines, and 2 near Off Highway Vehicle only roads.
The average slope and elevation for bird detections were derived from 30 m USGS DEM models
in ArcGIS. These models found that the average slope angle that birds were located was 19˚
(Min: 3˚, Max: 40˚) and mainly at elevations between 3505-3962 m (Tables 3-4).
Small Plots: Two-hundred and fifteen small plots were visited with 16 being occupied (Figures
1-4). Eight plots were occupied in strata 1 out of 71 plots visited, 5 plots were occupied in strata
2 out of 64 plots visited, and 3 plots were occupied in strata 3 out of 80 plots visited. None of
the small plots recorded more than a single detection, so the assumption of a closed population
may have been violated. This violation could have occurred due to the amount of time that was
allowed to elapse between surveys at plots (sometimes the two survey efforts spanned more than
a month of time) or because WTPT have a larger home range than the defined plot size.
Additional surveys would need to be conducted to evaluate the probability of detecting WTPT at
small plots and surveys would need to follow a more strict timing protocol. Overall though, it
appears that the estimated occupancy rate for small plots is too low to be effective for long-term
monitoring. More work is needed to determine an appropriate plot size for monitoring WTPT.
Helicopter Surveys: Eight plots were surveyed with 7 being surveyed twice. Five of the plots
surveyed had positive detections of birds with only one plot recording detections on both survey
efforts (Figure 3). Of the plots surveyed from the ground and air, three plots had detections on
the ground with no detections from the air. In addition to the detections in the large plots
surveyed, helicopter surveys detected an additional 10 WTPT flying between plots (Figure 3).
Ground surveys proved to have a higher detection probability and a higher occupancy. Though
the detection probability and occupancy were lower for helicopter surveys, incorporating this
sampling would allow for more habitat to be surveyed increasing the sample size of the survey
effort.
Predicted Range Model: Using data collected from detections of WTPT in 2011, we worked to
refine the current WTPT model developed by Hoffman in 2006 to build a summer Predicted
Range Model (PRM) for Colorado. We used SWReGap vegetation values in the PRM versus the
GAP data set used in the Hoffman model. Vegetation values used in the PRM included dry
tundra (45 WTPT detections fell in this value), Alpine Bedrock and Scree (43 WTPT detections
fell in this value), Alpine Fell Field (15 WTPT detections fell in this value), Subalpine-Montane
Riparian Shrubland (6 WTPT detections fell in this value), and Alpine-Montane Wet Meadow (2
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WTPT detections fell in this value). We also incorporated slope into the PRM of &lt; 40˚ (the
Hoffman model did not incorporate slope) and elevations of &gt; 3500 m.
The results of the new refined model showed little difference from the Hoffman model originally
used for the occupancy surveys (Table 5; Figure 6). The new PRM encompassed 7075.482 km2
or 2.6% of the state compared to the model developed by Hoffman which covered 7583.903 km2
or 2.8% of the state (Table 5). The dominant land manager within the PRM is the US Forest
Service (USFS) with &gt; 90% management authority and with &gt; 55% of the model designated as
USFS wilderness. Private lands encompass &lt; 1% of the PRM.
Non-targets:
Pikas were detected at 452 locations during WTPT surveys. Pikas were very abundant within the
plots and areas surveyed.
Brown-capped rosy finches were detected at 17 locations during surveys (Figure 5).
Other species detected that were of interest were yellow-bellied marmots (Marmota flaviventris),
moose (Alces alces), and big horn sheep (Orvis canadensis).
Predators were detected at 60% of plots surveyed with common ravens (Corvus corax) being the
most common predator detected on 36 plots, golden eagles (Aquila chrysaetos) on 7 plots, bald
eagle (Haliaeetus leucocephalus) on 1 plot, sharp-shinned hawks (Accipiter striatus) on 2 plots,
prairie falcons (Falco mexicanus) on 7 plots, peregrine falcon (Falco peregrinus) on 1 plot, redtailed hawks (Buteo jamaicensis) on 8 plots, northern harriers (Circus cyaneus) on 2 plots,
Cooper’s hawk (Accipiter cooperii) on 1 plot, unknown raptors on 5 plots, unknown falcon on
one plot, unknown weasels on 2 plots, and coyotes (Canis latrans) on 10 plots.
Feather Collection: Observers collected 174 feather samples during surveys (Figure 5). The
feathers are currently being analyzed at the Fort Collins Science Center.
Summary
In response to the petition to list the WTPT under the ESA, CPW conducted statewide
occupancy surveys to develop a baseline distribution of the WTPT. These surveys demonstrated
that WTPT are widely distributed across the state in suitable habitats and have high detection
probabilities. However, these surveys were not designed to provide information on the
demographics of individual populations (i.e., increasing or decreasing). Being able to
incorporate demographic parameters into surveys would be useful in estimating population
numbers, reproductive output, and allow for a better understanding of the effects climate and
other impacts may be having on populations. It would also allow CPW to develop better
management strategies to maintain viable populations and avoid further ESA listing scenarios.
In addition, the 2 different plot sizes used in 2011 to sample occupancy were found to be too
large of sampling unit (almost 100% occupancy) or too small (occupancy close to 0) to
effectively model and evaluate occupancy rates through time. Further information is needed to
determine an appropriate size of plot to sample for statewide occupancy surveys.
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Figure 1. Location of large plots used for occupancy surveys in Colorado in 2011.

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Figure 2. Result of WTPT occupancy surveys completed in the northern strata of Colorado in 2011.

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Figure 3. Result of WTPT occupancy surveys completed in the central strata of Colorado in 2011.

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Figure 4. Result of WTPT occupancy surveys completed in the southern strata of Colorado in 2011.

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Table 1. Model selection results for estimation of occupancy rates for WTPT at large plots in
Colorado.
Delta
AICc
Model
Num.
AICc
AICc
Weights Likelihood Par
Deviance
186.6044
0 0.99448
1
3 180.1681
197.242 10.6376 0.00487
0.0049
2 193.0277
201.3175 14.7131 0.00063
0.0006
4 192.5768
209.1671 22.5627 0.00001
0
2 204.9528
220.2107 33.6063
0
0
1 218.1405
223.8977 37.2933
0
0
3 217.4614

Model
{p(tech) psi(strat)}
{p(.) psi(strat)}
{p(strat) psi(strat)}
{p(tech) psi(.)}
{p(.) psi(.)}
{p(strat) psi(.)}

Table 2. Habitat and disturbance variables present within 100 m of WTPT detections.
Habitat w/in 100 m of WTPT Detection
Alpine
Rock/Cliff
Talus
Subalpine
Krummholz
Forbs
Cushion Plant
Snow
Willow
Disturbance

Sites

Percent (%)

91/97
59/97
75/97
4/97
20/97
92/94
58/90
56/97
52/96
38/97

94
61
82
0.04
21
98
64
58
54
40

Table 3. Elevation measured using ArcGIS at sites where WTPT were detected.
Meters
&lt;3505
3505-3657
3657-3810
3810-3962
3962-4114
&gt;4114

Number of Sites
6
26
49
24
6
1

Table 4. Slope measured using ArcGIS at sites where WTPT were detected.
Degrees
0-10
10-20
20-30
30-40

Number of Sites
18
50
32
12
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Table 5. Differences in area coverage of the new refined Predicted Range Model developed in
2011 with the Hoffman (2006) non-winter habitat model.
WTPT 2012 Model (SWReGAP based)
Owner
Sq Km
% of
% of state
model
NGO
0.014
0.0002% 0.000005%
CPW
0.0183 0.0003% 0.000007%
Land Trust
0.55
0.0087% 0.000204%
Joint
City/County
County
City
SLB
NPS
BLM
Private
USFS

0.69

0.0110%

0.000256%

2.04
0.0324%
13.43
0.2135%
23.24
0.3695%
309.35 4.9189%
311.64 4.9553%
455.85 7.2484%
5958.66 94.7473%

0.000757%
0.004981%
0.008620%
0.114742%
0.115591%
0.169081%
2.210142%

WTPT Hoffman's Non-Winter Model
Owner

Sq Km
0.019
0
0.126

% of
model
0.0003%
0.0000%
0.0020%

NGO
CPW
Land Trust

% of state
0.000007%
0.000000%
0.000047%

Joint City/County

1.15

0.0183%

0.000427%

County
City
SLB
NPS
BLM
Private
USFS

1.98
18.13
32.09
387.94
334.73
426.328
6381.41

0.0315%
0.2883%
0.5103%
6.1685%
5.3225%
6.7789%
101.4694%

0.000734%
0.006725%
0.011903%
0.143892%
0.124156%
0.158130%
2.366946%

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Figure 5. Locations where WTPT feathers were collected.

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Figure 6. Locations where brown-capped rosy finches were detected during WTPT surveys.

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Literature Cited:
Braun, C.E. 1971. Habitat requirements of Colorado white-tailed ptarmigan. Proceedings of the
Western Association of State Game and Fish Commissioners 51:284-292.
Braun, C.E. and G.E. Rodgers. 1971. The white-tailed ptarmigan in Colorado. State of
Colorado-Division of Game, Fish and Parks. Tech. Pub. 27.
Braun, C.E., R.K. Schmidt, Jr., and G.E. Rogers. 1973. Census of Colorado white-tailed
ptarmigan with tape-recorded calls. Journal of Wildlife Management 37:90-93.
Braun, C.E., K. Martin, and L.A. Robb. 1993. White-tailed ptarmigan (Lagopus leucurus). In: A.
Poole and F. Gill, editors. The birds of North America, Number 68. The Academy of
Natural Sciences, Philadelphia, Pennsylvania, and The American Ornithologists’ Union,
Washington, D.C., USA.
Choate, T.S. 1963. Habitat and population dynamics of white-tailed ptarmigan in Montana.
Journal of Wildlife Management 27:684-699.
Frederick, G.P. and R.J. Gutierrez. 1992. Habitat use and population characteristics of the whitetailed ptarmigan in the Sierra Nevada, California. Condor 94:889-902.
Hoffman, R.W. (2006, April 4). White-tailed Ptarmigan (Lagopus leucura): a technical
conservation assessment. [Online]. USDA Forest Service, Rocky Mountain Region.
Available: http://www.fs.fed.us/r2/projects/scp/assessments/whitetailedptarmigan.pdf
[date of access].

16

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              <text>In 2010, the white-tailed ptarmigan (&lt;em&gt;Lagopus leucura&lt;/em&gt;; WTPT) was petitioned to be listed as threatened under the Endangered Species Act. The petitioners cited climate change and its impacts to a species dependent on alpine habitats as the main threat to the viability of WTPT populations. Colorado supports the largest population of WTPT in the lower 48 states. Thus, if the species does become listed, Colorado Parks and Wildlife (CPW) will be responsible for the bulk of the protection and management of the species, yet understanding of the species distribution and demographic parameters is limited.&lt;br /&gt;&lt;br /&gt;To develop a baseline distribution and inventory of the species, statewide occupancy surveys were conducted in 2011. These surveys will be used to respond to the petition to list the WTPT and to monitor populations as climate change and other disturbances impact the viability of the species over time.</text>
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            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="47">
          <name>Rights</name>
          <description>Information about rights held in and over the resource</description>
          <elementTextContainer>
            <elementText elementTextId="1990">
              <text>&lt;a href="http://rightsstatements.org/vocab/NoC-NC/1.0/"&gt;No Copyright - Non-Commercial Use Only&lt;/a&gt;</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="51">
          <name>Type</name>
          <description>The nature or genre of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="1991">
              <text>Text</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="42">
          <name>Format</name>
          <description>The file format, physical medium, or dimensions of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="1992">
              <text>application/pdf</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="44">
          <name>Language</name>
          <description>A language of the resource</description>
          <elementTextContainer>
            <elementText elementTextId="1993">
              <text>English</text>
            </elementText>
          </elementTextContainer>
        </element>
        <element elementId="45">
          <name>Publisher</name>
          <description>An entity responsible for making the resource available</description>
          <elementTextContainer>
            <elementText elementTextId="2059">
              <text>Colorado Parks and Wildlife</text>
            </elementText>
          </elementTextContainer>
        </element>
      </elementContainer>
    </elementSet>
  </elementSetContainer>
</item>
