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                  <text>Document Date: 02-23-10

INTERIM PROGRESS REPORT
Greater Sage-Grouse Research in the Parachute-Piceance-Roan Region of Western Colorado
Part I: Assessment of Greater Sage-grouse Response to Pinyon-Juniper Removal

AUTHORS: Dr. Brett L. Walker, Chris Binschus, Orrin Duvuvuei, Nathan Schmitz
PRINCIPAL INVESTIGATOR: Dr. Brett L. Walker
PLEASE DIRECT QUESTIONS TO: Dr. Brett Walker, Colorado Division of Wildlife, 711 Independent Ave.,
Grand Junction, CO 81505. Phone: 970-255-6125; E-mail: brett.walker@state.co.us.
H

H

PERIOD COVERED: 1 September 2008 - 31 November 2009
PROJECT PERSONNEL: Brian Holmes, Wildlife Conservation Biologist (CDOW - Meeker); Heather Sauls,
Wildlife Biologist (BLM - Meeker); Brad Petch, Senior Wildlife Conservation Biologist (CDOW - Grand
Junction); Tom Knowles, DWM (CDOW - Meeker); Albert Romero, DWM (CDOW - DeBeque); J.T.
Romatzke, AWM (CDOW – Grand Junction); Bill deVergie, AWM (CDOW - Meeker).
**Information in this report is preliminary and subject to further evaluation. Information herein may
not be published or quoted without permission of the author. Manipulation of data beyond that
contained in this report is discouraged.**
Abstract. Large-scale changes to sagebrush habitats throughout western North America have led to
growing concern for conservation of greater sage-grouse (Centrocercus urophasianus) and repeated
petitions to list the species under the Endangered Species Act. Greater sage-grouse in the ParachutePiceance-Roan (PPR) region of western Colorado face two major conservation issues: potential impacts
from rapidly increasing energy development and a long-term decline in habitat suitability and range
contraction associated with pinyon-juniper (PJ) encroachment. In 2006, the Colorado Division of
Wildlife (CDOW) and industry partners initiated a 3-year study to obtain baseline data on seasonal
habitat use, movements, vital rates, and genetics of greater sage-grouse in the PPR. CDOW has since
expanded the original project to include generating high-resolution maps showing concentrated seasonal
use areas and assessing the value of PJ removal to restore habitat as mitigation for energy development.
Current and proposed energy development overlaps greater sage-grouse occupied range in the PPR.
However, industry and agencies need higher-resolution maps showing where sage-grouse occur during
each season to streamline development planning and mitigation and guide sage-grouse conservation
efforts. We are currently conducting multi-scale habitat selection analyses for each season (breeding,
summer-fall, winter) using ~2900 locations from 106 radio-marked greater sage-grouse collected from
2006-2009. This analysis is currently underway, and results and maps will be included in a subsequent
progress report. We are also assessing the response of greater sage-grouse to experimental removal of
encroaching PJ in otherwise sagebrush-dominated habitats using a before-after control-impact design.
Pre-treatment surveys from winter 2008-2009 indicated that winter track occupancy, as expected, was
higher on sagebrush control plots (0.012-0.069) than on plots with encroaching PJ (0.00). Data
collection for winter 2009-2010 is still in progress. Summer pellet surveys indicated higher summer and
winter use on sagebrush control plots than on plots with encroaching PJ, but detectability of pellets on
test plots was low (mean = 0.118) and variable among observers (0.00-0.22), which may be problematic
for interpretation of pellet survey data. Removal of encroaching PJ will continue in summer-fall 2010,
and post-treatment monitoring will continue through 2012. Additional plots may be added in 2010
pending additional funding for removals and surveys.

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Large-scale changes to sagebrush ecosystems and historical population declines (Schroeder et al. 2004)
have raised concern about the status and conservation of greater sage-grouse (Centrocercus urophasianus) and
repeated petitions for listing under the Endangered Species Act (DOI 2005). Greater sage-grouse in the
Parachute-Piceance-Roan (PPR) region of western Colorado are of conservation concern due long-term declines
in habitat suitability caused by pinyon-juniper (PJ) encroachment and potential impacts from rapidly increasing
energy development. In 2006, the Colorado Division on Wildlife (CDOW) and industry and agency partners
initiated a study to obtain baseline data on sage-grouse seasonal habitat use, movements, vital rates, and genetics
for the PPR population. Location and movement data suggest that higher-resolution maps that show
concentrated seasonal use areas would be valuable for improving sage-grouse conservation and development
planning. PJ removal has been proposed as a way to restore sage-grouse habitat and offset or mitigate impacts
of energy development in the PPR and elsewhere. However, we lack quantitative data on the magnitude and
timing of such responses. The objectives of this study are: (1) to use locations of marked sage grouse to
generate high-resolution habitat-use maps for each season covering the entire PPR population and, (2) to
measure greater sage-grouse response to experimental removal of encroaching PJ using changes in winter track
and pellet occupancy in a before-after control-treatment design.
This is the first of two consecutive progress reports. Here we summarize results of the research effort to
date related to assessment of sage-grouse responses to PJ removal. A progress report on seasonal habitat use
maps will follow.
SAGE-GROUSE RESPONSE TO PINYON-JUNIPER REMOVAL
Removal of pinyon and juniper trees from areas with an existing sagebrush understory may help restore
sage-grouse habitat in the PPR. Pinyon-juniper encroachment into sagebrush has been identified as a threat to
the species habitat in Colorado (CGSSC 2008; Chapter IV) and range-wide (CGSSC 2008). Encroachment in
the PPR has occurred over the last 150 years and is thought to be caused by fire suppression, reduced fire
frequency due to removal of residual grass via livestock grazing, and a window of climatic conditions suitable
for PJ establishment during the late 1800s and early 1990s (Miller and Rose 1999).
The management goal of PJ removal in the PPR is to increase suitable habitat for sage-grouse as
mitigation. This management technique has been widely implemented in Colorado and range-wide in the name
of habitat improvement (CGSSC 2008). However, sage-grouse response to these management actions has been
poorly studied. In fact, only one published study exists that addresses sage-grouse responses to PJ removal
(Commons et al. 1999). Although we suspect that sage-grouse will eventually occupy areas where PJ removal
has restored suitable local habitat conditions, three key questions remain unanswered. First, what level of PJ
encroachment leads to avoidance of otherwise suitable sagebrush habitat? Second, how long does it take for
sage-grouse to colonize an area following PJ removal? Third, how important are landscape-scale habitat
features in determining sage-grouse response to PJ removal even if local habitat conditions are suitable?
METHODS
STUDY AREA
The study area encompasses the majority of the current occupied range of the PPR sage-grouse
population (Fig. 1). Within that area, we selected a subset of suitable ridges for the PJ removal study. We
concentrated our efforts in the central portion of this region and did not work on Magnolia Ridge, Brush
Mountain, Skinner Ridge, or Kimball Mountain. In this area, greater sage-grouse inhabit the tops of ridges and
plateaus that are dissected by steep drainages. Vegetation is dominated by mountain big sagebrush (Artemisia
tridentata vaseyana) and mountain shrubs (e.g., serviceberry, Amelanchier spp.; Gambel oak, Quercus gambelii,
snowberry, Symphoricarpus spp.; wild rose, Rosa spp., etc.) interspersed with patches of aspen (Populus
tremuloides) and Douglas-fir (Pseudotsuga menziesii). Sagebrush and mountain shrub habitats on ridges give
way to pinyon pine (Pinus monophylla) and juniper (Juniperus spp.) forest at lower elevations that preclude use
by sage-grouse. The southeast portion of the study area is experiencing intensive energy development, whereas
only limited development is present in the western portion. Some parts of the study area were either temporarily
or permanently inaccessible to field crews due to physical barriers (e.g. steep drainages, snow drifts), lack of
roads, or lack of access to or across private land.

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FIELD METHODS
Data from newly-collared birds augmented an existing dataset from 85 radio-collared females and males
monitored during 2006-2008 as part of the original project. Capturing females in the PPR population is difficult
due to poor access during the lekking season when hens attend leks and because detectability is low in the tall,
dense vegetation used by birds in spring, summer, and fall. Field crews captured or recaptured and radiomarked 12 females from 3 Oct - 8 Dec 2008, 13 females from 1 Apr - 28 Apr 2009, and 22 females from 31 Aug
- 10 Nov 2009 within the study area using spotlights and hoop nets at night (Wakkinen et al. 1992), shouldermounted net-guns, and bumper-mounted net launchers (Fig. 2). All captured birds were sexed, aged, and fitted
with aluminum, numbered leg bands and 17-g necklace-style radio collars (Advanced Telemetry Systems model
A4060; Isanti, MN). Field crews collected exact GPS locations (±10-15 m) on radio-collared birds
approximately 1-2 times a week from September – November 2008, once approximately every 1-2 weeks from
December 2008-March 2009, and approximately 1-2 times a week from April-November 2009. We regularly
relocated missing birds on telemetry flights from fixed-wing aircraft as needed.
ASSESSMENT OF PINYON-JUNIPER REMOVAL
This phase of research focuses on assessing short-term (2-5 years) responses of sage-grouse to PJ removal.
We are using a before-after, control-treatment design to compare changes in sage-grouse winter track occupancy
and summer pellet occupancy among control and treatment plots before and after encroaching PJ is removed.
Caution must be exercised in interpreting results because estimates of occupancy only give an index of
frequency of use, rather than of habitat quality or habitat selection.
We have three levels of treatment: (1) removal plots where encroaching PJ is removed, (2) control plots
where encroaching PJ is present, but not removed, and (3) sagebrush control plots. Removal plots are used to
document responses of sage-grouse to PJ removal. Surveying control plots where encroaching PJ remains
untreated allows us to measure background changes in sage-grouse use of areas with encroaching PJ in the
absence of treatment. Surveying sagebrush control plots without any PJ allows us to estimate background
changes in sage-grouse use of nearby areas where sagebrush habitat is already suitable. All plots will be
surveyed for 1-2 years prior to implementing removals and for 3-4 years following removal. We survey 3 plots
per treatment. The number of plots per treatment is limited by the availability of suitable adjacent ridges with
encroaching PJ. All plots selected for treatments had a sagebrush understory to ensure that habitat suitability for
sage-grouse is maximized once PJ is removed.
Plot selection. – We used vegetation, topography, and marked bird locations in GIS to identify potential
removal and control plots in 2008, then followed up with on-site visits in summer 2009 to select final site
boundaries (Fig. 3). All removal plots have sparse PJ in the overstory, a sagebrush-dominated shrub layer,
suitable topography, and are adjacent to where we already have radio-marked birds. Rapidly spreading energy
development in the PPR may be a problem because it has the potential to confound response metrics, so we
identified areas at which development is unlikely for several years. Although energy development may
eventually negate the value of PJ removal, our findings can still be used to inform managers about the
effectiveness of PJ removal as mitigation. Those findings can then be used to quantify the value of off-site
mitigation in other areas with encroachment in northwestern Colorado.
Winter track surveys. We will estimate changes in frequency of use by sage-grouse using occupancy
measured from ground-based track surveys (MacKenzie et al. 2006). We hypothesize that, after controlling for
local- and landscape-scale habitat conditions, that winter use will increase following removal of encroaching PJ,
but with a time lag due to fidelity to wintering areas. This estimator gives an estimate of the proportion of the
plot that sage-grouse use during the 24-36 hr survey period following a winter storm. Winter track surveys have
the following assumptions: (1) all animals move and leave tracks during the survey period (between when
snowfall stops and when the survey is conducted); (2) all tracks deposited in sample units during the survey
period can be seen and correctly identified; (3) surveys do not influence whether or not tracks are present in
sampled units; (4) pre-storm tracks can be distinguished from post-storm tracks; and (5) all sample units within
a plot are surveyed on the same day. Assumption 1 is likely to be met because wintering sage-grouse typically
forage during the day. It is possible that sage-grouse may snow burrow for part or all of the survey period, but
entrances to snow burrows are easily visible and can be counted as tracks. Tracks may also be buried if blowing

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snow fills in fresh tracks. In western Colorado, winter storms are typically followed by 1-2 days of relatively
calm, sunny, cold weather. To ensure that we meet Assumption 1, surveys will be aborted if windy conditions
occur during the survey period. Assumption 2 is likely to be met because sage-grouse tracks can be
distinguished from other birds with similar sized tracks by behavior, pellet smell, and pellet composition. Sagegrouse typically travel from one sagebrush to another, sometimes dropping leaves on the snow, as they forage,
whereas dusky grouse (Dendragapus obscurus) typically forage on and travel between conifers and common
ravens (Corvus corax) often double-hop on the ground rather than walking and do not eat sagebrush. Sagegrouse also leave distinctive sagebrush-filled pellets that smell strongly of sagebrush in winter. Assumption 3
may be violated if surveyors flush birds that then land within another sample unit later surveyed. Although this
assumption cannot be tested or controlled for, we can record whether birds flushed from the sample unit, how
many, and whether they flew toward or away from the unsurveyed portion of the plot. Birds thought to be part
of a previously-detected flock can be noted as such and removed from analyses. Assumption 4 is met because
surveys are conducted immediately following snowstorms. Snowfall during the storm buries old tracks, and
fresh, post-storm tracks are easily distinguished from older, pre-storm tracks even when old tracks are still
visible (often they are not). To meet assumption 5, we conduct surveys on one day across an equal number of
plots in each treatment level following each storm. Different groups of plots may need to be sampled after
different snowstorms depending on the manpower available. Vegetation data can be collected the day after if
necessary, surveying to ensure that all selected sample units within plots are surveyed on the same day.
For surveys, we gridded each plot into 30 m x 30 m sample units and selected sample units to survey using
a systematic-random sampling design. We selected a 30 x 30 m sample unit size so that sample units were large
enough to contain sage-grouse tracks but small enough to ensure that all tracks within the sample unit were
detected. Within each sample unit, we record presence or absence of sage-grouse tracks and estimate the
number of individuals that left tracks. We also collect the following local habitat covariates likely to influence
use at each sample unit surveyed: (1) pinyon-juniper height and density; (2) snow depth; (3) average exposed
height for important dominant or co-dominant shrub species (e.g. sagebrush, mountain shrubs); (4) shrub cover
of dominant or co-dominant species, and (5) approximate no. of hours since last snowfall. We will also measure
important landscape-scale covariates identified as important predictors of use in winter habitat selection
analyses on each sample unit in a GIS (e.g., terrain ruggedness, distance to nearest forested habitat, or amount of
sagebrush habitat at specific scales) and include them as covariates in analyses to test for the influence of
landscape-scale habitat variables on sage-grouse responses. Because it may take longer for sage-grouse to
colonize areas farther away from currently used areas, regardless of habitat suitability following treatments, we
will also include a covariate with approximate distance from nearest known-use area (estimated from habitat use
by marked birds). To test for different possible patterns of the timing of colonization of treated areas by sagegrouse, we will incorporate a time-trend variable, with the prediction that use will increase either linearly or
quadratically over time. We use a logit-link in the analysis to constrain occupancy estimates to a (0, 1) interval.
Winter vegetation surveys. – We measure snow depth at the sample unit center, average exposed shrub
height of sagebrush and non-sagebrush shrubs, and no. of pinyon and juniper trees in three height categories (02 m, 2-4 m, &gt; 4 m) within each sample unit on each visit (Connelly et al. 2003). The purpose of measuring
vegetation cover is to determine whether local-scale habitat is already suitable for sage-grouse and to control for
effects of among-sample unit and among-plot variation in sagebrush and non-sagebrush vegetation cover and
height. We quantify sagebrush and non-sagebrush shrub cover using line-intercept methods (Canfield 1941)
during the summer because using line-intercept technique is impractical in deep snow.
Winter pellet collection for genetic analysis. – No previous studies have estimated winter track occupancy
for sage-grouse, and the relationship between track occupancy and the no. of individuals present remains
unknown, so the method requires validation. We plan to test whether occupancy reflects true abundance by
comparing occupancy estimates to abundance estimated from genetic mark-recapture results. We plan to use
mark-recapture methods using non-invasive genetic samples based on winter pellet sampling to estimate the no.
of individuals using each plot over the course of the winter. We collect ≥1 fecal pellet per individual track
encountered during track occupancy surveys. Pellets deposited along tracks of foraging birds in winter are either
fresh or recently frozen and thus highly suitable for DNA extraction. Oyler-McCance and St. John (2008)
developed methods to identify individual sage-grouse from fecal pellets, and such methods appear to be reliable,
with &gt;10 polymorphic microsatellite loci available for analysis and relatively low rates of misclassification.

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Statistical methods are also now available that allow estimation of genotyping error if sample sizes permit
(Lukacs and Burnham 2005). Tracks typically have pellets on them every 10-20 ft. (B. Walker, pers. obs.), so it
is likely that pellets can be obtained for most if not all birds whose tracks cross a surveyed sample unit. Because
surveys of each plot are repeated, we can use pellets collected during the second and third survey periods to
estimate detectability of individuals for mark-recapture analyses. Details of genetic methods are described in
Oyler-McCance and St. John (2008). Genotypes encountered across survey periods allow us to generate an
encounter history data for analysis in a mark-recapture framework and estimate the number of grouse using the
survey plot, the probability of a grouse remaining in the survey plot among occasions, and detection
probabilities.
Summer pellet surveys. We obtain an index of use during the summer-fall periods by estimating pellet
occupancy in Jul-Oct (MacKenzie et al. 2006). Additionally, spring-fall (May-Oct) pellets can be distinguished
by the presence of intact insect parts and flower heads in droppings, whereas winter (Dec-Feb) pellets consist
entirely of digested sagebrush leaves (Wallestad et al. 1975). This allows us to generate separate estimates for
spring-fall, winter, and year-round occupancy from pellet data. An occupancy estimator gives an estimate of the
proportion of the plot on which sage-grouse have deposited pellets during the survey period. Because we cannot
assume that all sage-grouse using a plot or sample unit deposit pellets (defecation rates for sage-grouse are
unknown and sage-grouse may use a plot or sample unit without defecating), we cannot measure actual sagegrouse occupancy in any season, only pellet occupancy during the survey period (contra Dahlgren et al. 2006).
Pellet surveys have the following assumptions: (1) all pellets can be correctly identified as adult or chick by
size; (2) adult-sized pellets can be correctly identified as either sage-grouse or non-sage-grouse; and (3) surveys
do not influence whether or not pellets are present in sampled units. Quantitative analyses only focus on adultsize pellets because pellets from dusky grouse chicks and sage-grouse chicks probably cannot be differentiated,
and both species occur in the study area. Adult pellets of the two species can probably be distinguished by
smell. Adult-sized sage-grouse typically consume 13-39% sagebrush throughout the spring and summer
(Wallestad et al. 1975, Schroeder et al. 1999) such that adult-sized pellets typically smell strongly of sagebrush,
even in summer, whereas sagebrush has never been documented in the diet of dusky grouse in any season
(Zwickel 1992). Dusky grouse pellets smell of plant material, but lack the pungent smell of sagebrush, a pattern
that has been double-checked by smelling pellets deposited by sage-grouse and dusky grouse encountered in the
field. We train all observers to identify sage-grouse pellets by appearance, composition, and smell prior to
surveys. Assumption 3 may be violated if surveyors flush birds that then land within another sample unit later
surveyed. However, violation of this assumption is unlikely to meaningfully influence analyses because the
number of pellets deposited in an unsurveyed sample unit during the brief window before the unit is surveyed is
small compared to the entire survey window (Aug-Sept).
We used a subset of the same systematic-random sample of 30 m x 30 m sample units selected for winter
track surveys for conducting pellet surveys. This allows us to use vegetation sampling data for both analyses.
Crews search for foraging pellets, roost piles (day or night), and cecal piles within each 30 x 30-m sample unit.
Hereafter, we refer to single pellets, roost piles, and cecal droppings simply as “pellets”. Sample units are
visited in July to document, count, and remove pellets, then surveyed again for newly deposited pellets in
October. Pellets within 0.1 m of each other are recorded as one pellet cluster. Sample unit centers are marked
using high-visibility flagging and numbered aluminum tags. Each observer carefully and thoroughly surveys the
sample unit, counts the number of pellet clusters present, counts the number of pellets within each cluster, and
removes all pellets encountered from the sample unit. Pellet detectability is typically low and may vary among
observers (Dahlgren et al. 2006), so we estimate detectability of pellets and observer bias by having each
observer survey eight sample units in which we place clusters of fresh pellets of various sizes (1, 4, 8, and 12
pellets) at random directions and distances up to 14 m from the sample unit center. Sample units used for
testing detectability are exhaustively grid-searched prior to surveys to ensure that no fresh pellets are present
before the test.
Summer vegetation surveys. – We will sample and compare vegetation at locations used by marked sagegrouse in winter and within each sample unit on treatment and control plots to determine whether local-scale
habitat is already suitable for sage-grouse and to control for vegetation features known to influence breedingseason habitat selection (Hagen et al. 2007). We will establish two 30-m perpendicular intersecting transects
running true N-S, E-W to measure local-scale vegetation features within sample units in Aug-Sep. Along each

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transect, we will measure: (1) shrub canopy cover by species using the line-intercept method (Canfield et al.
1941); (2) height of the nearest shrub (excluding inflorescences) within 2.5 m; (3) height of nearest live grass
(maximum droop height of leaves, excluding inflorescences); (4) height of residual dead grass (maximum droop
height of leaves, excluding inflorescences); and (5) cover of “forage” forbs within Daubenmire quadrats at 5-m
intervals along transect lines. Data collected at the sample unit center point only counts as one data point. We
define “forage” forbs as those previously identified as major components of adult or juvenile spring and summer
diets (Klebenow 1969, Drut et al. 1994, Barnett and Crawford 1994, Gregg et al. 2008).
Pellet survey analysis. – In the final analysis, we will consider the following local habitat covariates likely
to influence grouse winter or spring-summer use at each sample unit surveyed: (1) pinyon-juniper density; (2)
sagebrush and non-sagebrush canopy cover by species; (3) average sagebrush height; (4) average shrub height;
(5) average live and residual grass height, and (6) “forage” forb cover. Important landscape-scale covariates
identified as important predictors of use from summer habitat selection analyses will also be measured on each
sample unit in GIS and included as covariates to test for the influence of landscape-scale habitat variables on
sage-grouse responses. Because it make take longer for sage-grouse to colonize areas farther away, regardless
of habitat suitability following treatments, we will also include a covariate with distance from nearest known
active lek. To test for different possible patterns of the timing of colonization of treated areas by sage-grouse,
we will incorporate a time-trend variable. Data from each survey of each sample unit will be maintained as a
separate record in the analysis. We will use a logit-link to constrain occupancy estimates to a (0, 1) interval.
Pinyon-juniper removal. In areas with sparse PJ, we may use a chainsaw crew to minimize soil disturbance
($100/acre) or a Bobcat with Fecon head ($75/acre). In areas with denser PJ, we will use a Hydroaxe ($175$300/acre, depending on PJ density). All areas selected for treatment were in the beginning stages of
encroachment (i.e., numerous small trees) to ensure that PJ removal would produce the greatest suitable
sagebrush habitat for the least amount of money.
RESULTS
Seasonal Locations. Field crews and flights collected ~2900 locations from 106 marked birds (mostly
females) from Apr 2006 - Aug 2009 (Fig. 4). These data are currently being used in multi-scale habitat
selection models to create high-resolution maps of greater sage-grouse seasonal habitats throughout the PPR.
Winter Track Surveys. We conducted one complete set of winter track surveys on each of the 9 plots in JanFeb 2009. As expected, winter track occupancy was higher on sagebrush control plots than on plots with
encroaching PJ (Table 1). Sagebrush control plots had winter track occupancy estimates of 0.012-0.069,
whereas plots with encroaching PJ showed zero occupancy. We counted 17-45 individual tracks on control
plots during the survey period, whereas we found zero tracks on plots with PJ (Table 1). Estimating the number
of individuals using a sample unit based on tracks was difficult for large flock sizes greater than approximately
10, so counts of tracks must be considered an index of abundance rather than an exact count. Winter surveys
from 2009-2010 are nearly complete, and those data will be analyzed in spring 2010.
Genetics. Although completing only one survey in winter 2008-2009 precluded genetic mark-recapture
analyses, we collected 90 pellet samples from 10 sample units with tracks. Pellet collection is still underway
this winter. These samples will provide a minimum estimate of the number of individuals using each plot from
genetic markers. Contracting for the genetic analysis is underway and frozen pellet samples are in storage in
Grand Junction.
Summer Pellet Surveys. We conducted one complete set of pellet surveys on each of the 9 plots in August
2009 to assess the feasibility of the survey methodology. Surveys took much longer than anticipated to
complete, and we were unable to complete a follow-up survey in fall 2009. For that reason, occupancy
estimates do not represent summer use of the plot in 2009, but rather accumulated use of the plot over a time
period comparable with how long it takes pellets to deteriorate in the field (~2-3 years).
Pellet surveys indicated higher winter and summer occupancy rates on sagebrush control plots than on plots
with encroaching PJ (Table 2). Fresh pellets (those from summer 2009) were found on 0.00-0.055 (mean =
0.018, n = 3) of control plots, whereas plots with encroaching PJ had none (mean 0.000, n = 6). Data from
summer pellets of all ages indicated summer occupancy of 0.049-0.127 (mean = 0.098, n = 3) on control plots
versus 0.000-0.061 (mean = 0.028, n = 6) on plots with encroaching PJ. Data from winter pellets of all ages

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indicated higher winter occupancy (range 0.268-0.382, mean = 0.344, n = 3) on control plots than on plots with
encroaching PJ (range 0.000-0.104, mean = 0.041, n = 6).
Pellet detectability. – Observers conducted pellet surveys on eight 30 x 30 m test plots. Each plot contained
four piles of fresh sage-grouse pellets of different sizes (1, 4, 8, and 12 pellets). Detectability of fresh pellets
was low overall (0.118) and variable among the four observers (0.00, 0.06, 0.13, and 0.22). Variable
detectability may be an issue for interpretation of data from pellet surveys, particularly if effect sizes are small
between treatment and control plots.
DISCUSSION
Overall, occupancy data from winter track surveys and summer pellet surveys were largely as expected,
with higher occupancy on sagebrush control plots than on plots with encroaching PJ. Genetic work to estimate
the no. of individuals from pellet samples in spring 2010 will help resolve whether track counts within sample
units are a reliable index of the number of birds using a sample unit and whether occupancy is a reliable index of
the number individuals using a plot.

RESEARCH TIMELINE
We are collecting data on locations of marked females in fall 2009 through spring 2010 as a validation
dataset for seasonal habitat use maps generated from 2006-2009 data (Table 3). Three sets of winter track
surveys will be conducted from December 2009 - February 2010. Two sets of summer pellet surveys will be
conducted 2010, one in July and a follow-up in October.
LITERATURE CITED
Barnett, J. K., and J. A. Crawford. 1994. Pre-laying nutrition of Sage Grouse hens in Oregon. Journal of Range
Management 47:114-118.Canfield, R. H. 1941. Application of the line interception method in sampling
range vegetation. Journal of Forestry 39:388-394.
Colorado Greater Sage-grouse Steering Committee (CGSSC). 2008. Colorado greater sage-grouse conservation
plan. Colorado Division of Wildlife, Denver, CO, USA.
Commons, M. L., R. K. Baydack, and C. E. Braun. 1999. Sage grouse response to pinyon-juniper management.
Pages 238-239 in S. B. Monsen and R. Stevens, compilers. Proceedings: ecology and management of
pinyon-juniper communities. RMRS-P-9. United States Department of Agriculture, Forest Service, Fort
Collins, CO, USA.
Dahlgren, D. K., R. Chi, and T. A. Messmer. 2006. Greater sage-grouse response to sagebrush management in
Utah. Wildlife Society Bulletin 34:975-985.
Department of the Interior (DOI). 2005. 12-month finding for petitions to list the greater sage-grouse as
threatened or endangered. Federal Register 70(8): 2244-2282.
Drut, M. S., W. H. Pyle, and J. A. Crawford. 1994. Technical note: Diets and food selection of Sage Grouse
chicks in Oregon. Journal of Range Management 47:90-93.
Gregg, M. A., J. K. Barnett, J. A. Crawford. 2008. Temporal variation in diet and nutrition of preincubating
greater sage-grouse. Rangeland Ecology and Management 61:535-542.
Klebenow, D. A. 1969. Sage Grouse nesting and brood habitat in Idaho. Journal of Wildlife Management
33:649-662.
Hagen, C. A., J. W. Connelly, and M. A. Schroeder. 2007. A meta-analysis of greater sage-grouse Centrocercus
urophasianus nesting and brood-rearing habitats. Wildlife Biology 13:42-50.
MacKenzie, D. I., J. D. Nichols, J. A. Royle, K. H. Pollock, L. L. Bailey, and J. E. Hines. 2006. Occupancy
estimation and modeling: inferring patterns and dynamics of species occurrence. Elsevier Press.
Miller, R.F. and J.A. Rose. 1999. Fire history and western juniper encroachment in sagebrush steppe. Journal of
Range Management 52:550-559.

7

�Document Date: 02-23-10

Oyler-McCance, S. J. and J. St. John. 2008. Unpublished final report. Pilot study to assess the effectiveness of
DNA extraction from Gunnison sage-grouse feces for use in population estimation studies. U. S.
Geological Survey, Fort Collins, CO, USA.
Schroeder, M. A., C. L. Aldridge, A. D. Apa, J. R. Bohne, C. E. Braun, S. D. Bunnell, J. W. Connelly, P. A.
Deibert, S. C. Gardner, M. A. Hilliard, G. D. Kobriger, C. W. McCarthy. 2004. Distribution of Sagegrouse in North America. Condor 106:363-376.
Schroeder, M. A., J. R. Young, and C. E. Braun. 1999. Sage-grouse (Centrocercus urophasianus). Account 425
in A. Poole and F. Gill, editors. The birds of North America. The Academy of Natural Sciences,
Philadelphia, PA, USA.
Wakkinen, W. L., K. P. Reese, J. W. Connelly, and R. A. Fischer. 1992. An improved spotlighting technique for
capturing sage-grouse. Wildlife Society Bulletin 20:425-426.
Wallestad, R., J. G. Peterson, and R. L. Eng. 1975. Foods of adult sage grouse in central Montana. Journal of
Wildlife Management 39:628-630.
Zwickel, F. C. 1992. Blue Grouse (Dendragapus obscurus). Account 15 in A. Poole, P. Stettenheim, and F. Gill,
editors. The birds of North America. The Academy of Natural Sciences, Philadelphia, PA,USA.
ACKNOWLEDGEMENTS
We thank field crew leaders Brandon Miller, Evan Phillips, Kaylan Kemink, and Chris Binschus, as
well as numerous field technicians and volunteers for collecting field data. We thank Brad Petch, Brian Holmes,
Dan Neubaum, and Kellen Keisling for assistance with logistics and field work. Larry Gepfert piloted telemetry
flights. Encana, Shell, Williams, Conoco-Philips, and the Colorado Division of Wildlife provided funding and
support for the project. We thank Encana, Exxon-Mobil, Williams, Conoco-Phillips, Chevron, and numerous
private landowners and lessees for generously allowing access to private lands within the study area for
research. We thank Heather Sauls, Ed Hollowed, and Kent Walters at the Bureau of Land Management White
River Field Office for support of the project and for logistical assistance and funding for pinyon-juniper
removal.

8

�Document Date: 02-23-10

TABLES
Table 1. Raw winter track occupancy estimates (Ψ) ± SE, minimum total no. of tracks detected per plot (N), and no. sample units surveyed (n) for
greater sage-grouse in January and February 2009 in the Parachute-Piceance-Roan region of western Colorado, USA.
PJ – Pre-treatment

PJ – Control (No Treatment)

Sagebrush - Control

Upper
Galloway

Black Sulphur

Ryan Gulch

Dry Ryan

Eureka

Stake Springs

Dry Gulch

Canyon Creek

Black Cabin

Ψ

0.000 ± 0.000

0.000 ± 0.000

0.000 ± 0.000

0.000 ± 0.000

0.000 ± 0.000

0.000 ± 0.000

0.069 ± 0.027

0.012 ± 0.012

0.048 ± 0.023

N

0

0

0

0

0

0

45

17

18

n

(109)

(74)

(98)

(65)

(96)

(77)

(87)

(82)

(84)

9

�Document Date: 02-23-10

Table 2. Raw occupancy estimates ± SE for greater sage-grouse pellets surveyed in August 2009 in the Parachute-Piceance-Roan region of western
Colorado, USA. n = no. sample units surveyed per plot.
PJ – Pre-treatment

PJ – Control (No Treatment)

Sagebrush - Control

Upper
Galloway

Black
Sulphur

Ryan
Gulch

Mean

Dry Ryan

Eureka

Stake
Springs

Mean

Dry Gulch

Canyon

Black
Cabin

Mean

n = 49

n = 38

n = 48

± SE

n = 55

n = 50

n = 38

± SE

n = 55

n = 41

n = 42

± SE

2009 Summer Pellet Occupancy (fresh pellets)
0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.000

0.055

0.000

0.000

0.018

± 0.000

± 0.000

± 0.000

± 0.000

± 0.000

± 0.000

± 0.000

± 0.000

± 0.031

± 0.000

± 0.000

± 0.018

Summer Pellet Occupancy (all pellets)
0.061

0.000

0.042

0.034

0.000

0.040

0.026

0.022

0.127

0.049

0.119

0.098

± 0.034

± 0.000

± 0.029

± 0.018

± 0.000

± 0.028

± 0.026

± 0.012

± 0.045

± 0.034

± 0.050

± 0.025

Winter Pellet Occupancy (all pellets)
0.061

0.000

0.104

0.055

0.000

0.000

0.079

0.026

0.382

0.268

0.381

0.344

± 0.034

± 0.000

± 0.044

± 0.030

± 0.000

± 0.000

± 0.044

± 0.026

± 0.066

± 0.069

± 0.075

± 0.038

Year-round Pellet Occupancy (all pellets)
0.082

0.000

0.146

0.076

0.000

0.040

0.105

0.048

0.436

0.293

0.452

0.394

± 0.039

± 0.000

± 0.051

± 0.042

± 0.000

± 0.028

± 0.050

± 0.031

± 0.067

± 0.071

± 0.077

± 0.051

10

�Document Date: 02-23-10

TABLE 3. Revised timeline for greater sage-grouse research (seasonal habitat maps and assessment of pinyonjuniper removal) in the Parachute-Piceance-Roan population, western Colorado, 2006-2010.
Task
Seasonal habitat use maps

Initiation

Completion

GIS analyses and seasonal model development

31 Aug 2009

Collect validation location dataset
Complete final model assessment and GIS map processing.
Prepare final report on winter habitat-use maps
Prepare final report on breeding habitat-use maps

1 Sep 2009
1 Mar 2010
31 Mar 2010
15 Jul 2010

IN
PROGRESS
30 June 2010
31 Mar 2010
30 April 2010
15 Aug 2010

Assessing response to PJ removal
Identification of plots for PJ removal
Winter track surveys, pellet collection (annually)
Remove encroaching PJ (2010)
Analysis of winter track data (annually)
Analysis of genetic samples (annually, depends on no. samples)
Analysis of genetic data (annually)
Prepare cumulative report (annually)
Prepare cumulative final report

COMPLETE
1 Jan
1 Aug
1 Mar
1 Apr
1 Jun
1 Aug
1 Aug 2012

COMPLETE
1 Mar
15 Nov
1 Jun
1 Jun
1 Aug
1 Oct
1 Oct 2012

11

�Document Date: 02-23-10

FIGURES
W

Meeker

hi
te

ve
Ri

Northwest Colorado
Population

r

64
r th
No

Cr

Fa
wn

iv e

r

Meeker/White River
Population

ee k

Cr

ur
lp h
Su

eR

ek

ck

h it

C re

a

ek

Bl

st D
oug
la

re

Hun

We

RIO BLANCO

sC

kW

ter

sC
re
e

ou

g la

ee
k

s

tD

k

Ea

r
Fo

Pi

c

ea

nc

re

ek

r eek
eC

W

es

tC

13

Parachute/Piceance/Roan
Population

325

New Castle
Ca

rr C
re ek
R o an

k

C ree

k

Glenwood
Springs

Silt

6

hu

te

East

S alt

Cr

6
Parac

GARFIELD
ee

Rifle

ee

k

ash

Parachute

gS

al

tW

Cr

Bi

Battlement Mesa
6

De Beque

139

70

6

Collbran

MESA

70
65

330

Fruita

COLORADO

Towns
Streams
Counties

Land Ownership/Management

Habitat Status
Occupied
Potential
Vacant/Unknown

Easements

Private
City
Landownership based
on CoMAP

CDOW
SLB &amp; State
Federal

BLM
NPS
USFS

4

2

0

4

8

12

Miles

Figure 1. Distribution map of the Parachute-Piceance-Roan greater sage-grouse population showing occupied,
potential, and vacant/unknown habitat (CGSSC 2008).

Figure 2. Bumper-mounted CODA net launcher used to capture greater sage-grouse.

12

�Document Date: 02-23-10

Figure 3. Study plots for the pinyon-juniper removal experiment on the west side of the PPR population.

13

�Document Date: 02-23-10

Figure 4. Occupied range, active and inactive leks, and seasonal locations of marked greater sage-grouse in the Parachute-Piceance-Roan
population, northwestern Colorado, 2006-2009. Some flight locations were collected in areas inaccessible to field crews.

14

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