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Susitna-Watana Hydroelectric Project Document
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Title:
Moose distribution, abundance, movements, productivity, and survival
study, Study plan Section 10.5 : Final study plan SuWa 200
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Alaska Energy Authority
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Final study plan
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Series (ARLIS-assigned report number):
Susitna-Watana Hydroelectric Project document number 200
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[Anchorage : Alaska Energy Authority, 2013]
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July 2013
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Study plan Section 10.5
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11 p.
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Susitna-Watana Hydroelectric Project
(FERC No. 14241)
Moose Distribution, Abundance, Movements,
Productivity, and Survival Study
Study Plan Section 10.5
Final Study Plan
Alaska Energy Authority
July 2013
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10. WILDLIFE RESOURCES
10.5. Moose Distribution, Abundance, Movements, Productivity, and
Survival
On December 14, 2012, Alaska Energy Authority (AEA) filed with the Federal Energy
Regulatory Commission (FERC or Commission) its Revised Study Plan (RSP), which included
58 individual study plans (AEA 2012). Included within the RSP was the Moose Distribution,
Abundance, Movements, Productivity, and Survival Study, Section 10.5. RSP Section 10.5
focuses on characterizing moose distribution, movements, population size, productivity, and
habitat use in the study area through geospatial analysis. RSP 10.5 provided goals, objectives,
and proposed methods for moose data collection and analysis.
On February 1, 2013, FERC staff issued its study determination (February 1 SPD) for 44 of the
58 studies, approving 31 studies as filed and 13 with modifications. RSP Section 10.5 was one of
the 13 approved with modifications. In its February 1 SPD, FERC recommended the following:
While Alaska DFG recommends daily radiotracking during peak moose calving as AEA
proposes, Alaska DFG recommends that the reference to peak calving as May 15-31 be removed
because the precise dates for moose calving may vary between populations and years.
Alaska DFG’s recommended study modification would provide greater flexibility in the event
that the calving dates vary from the May 15-31 timeframe, would not increase cost or effort, and
would ensure efficient use of resources. Alaska DFG’s recommended methods are consistent
with generally accepted practices in the scientific community (section 5.9(b)(6)) and should be
adequate to collect the information necessary to address project effects (section 5.9(b)(5)).
Therefore, we recommend that AEA modify the study as recommended by Alaska DFG.
In accordance with the February 1 SPD, AEA addressed the recommended modifications in the
Final Study Plan for Section 10.5.
General Description of the Proposed Study 10.5.1.
The moose study is being conducted by the Alaska Department of Fish and Game (ADF&G).
The moose study began with a late-winter population survey in March 2012 and deployment of
radio collars in October 2012 and will continue through 2013 and 2014. Although beyond the
scope of the FERC licensing study process, ADF&G will continue to survey and monitor radio -
collared moose throughout the lifespan of the radio collars deployed for the study (approximately
2016).
This study plan outlines the objectives and methods for characterizing moose distribution,
movements, population size, productivity, and habitat use in the study area through geospatial
analysis. Radio telemetry surveys via fixed-wing aircraft will be used to monitor distribution,
productivity, harvest potential, and habitat use of moose in the study area. In addition to standard
Very High Frequency (VHF) radio collars, satellite-linked Global Positioning System (GPS)
collars will be deployed to evaluate fine-scale spatial distribution and movements of cows and
bulls. Winter surveys will be flown to enumerate moose in and near the reservoir inundation
zone. GeoSpatial Population Estimation (GSPE) techniques (Ver Hoef 2002; Kellie and DeLong
2006) and traditional count methods in portions of the study area will be used to generate
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population estimates. Browse surveys will be used to monitor habitat utilization of the inundation
zone, access and transmission corridors, and area downstream from the Project area.
Study Goal and Objectives
The goal of the study is to obtain sufficient population information and use of the study area to
evaluate the potential effects of the Project on moose.
Specific study objectives include the following:
Document the moose population and composition in the study area.
Assess the relative importance of the habitat in the inundation zone, proposed
access/transmission corridors, and the riparian area below the Project.
Document the productivity and calf survival of moose using the study area.
Document the level of late winter use of adults and calves in the proposed inundation
area.
Document moose browse utilization in and adjacent to the inundation zone and the
riparian area below the Project.
Document the amount of potentially available habitat for improvement through crushing,
prescribed burning, or other habitat enhancement.
Analyze and synthesize data from historical and current studies of moose as a
continuation of the 2012 big-game distribution and movements study (AEA 2012).
Existing Information and Need for Additional Information 10.5.2.
Moose studies during the early 1980s for the original Alaska Power Authority (APA) Susitna
Hydroelectric Project were comprehensive, and annual monitoring of moose populations in the
general area has been conducted by ADF&G; however, more recent data specific to this Project
are needed to accurately characterize the current moose population size, distribution, and habitat
use. New information is also needed to assess current issues pertaining to human use of the
moose population in the Project region.
For management purposes, moose in Game Management Unit (GMU) 13 are monitored annually
using aerial trend-count surveys. Within GMU subunits 13A, 13B, and 13E, a group of
continuous count areas (CAs) are surveyed annually (including CA 14; Figure 10.5-1); additional
trend-count areas are surveyed periodically. These surveys, which provide managers with
population composition and general trend data, have been conducted in this area since the 1950s.
Additional areas such as CA 7, which includes Watana Creek in GMU 13E (Figure 10.5-1), are
not surveyed regularly. CA 7 was surveyed annually between 1980 and 1986 (776–1,284 moose
observed; 0.9–1.5 moose per square mile). The most recent aerial trend-count survey in that area
was conducted in 2001 (776 moose observed; 0.9 moose per square mile). In addition, an
intensive population survey was conducted in spring 2012, a year of heavy snowfall. A total of
441 moose (381 adults and 60 calves) were observed in an area of 277.7 square miles, for a
density estimate of 1.6 moose per square mile. The density estimate is likely to increase after the
estimate is adjusted for sightability (R. Schwanke, ADF&G, 2012, pers. comm.). An additional
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intensive population survey will be conducted for the area downstream from the proposed dam
location.
Changes in hunter access due to the proposed Project will be evaluated. Hunter demand for
moose in GMU 13 is very strong and continues to grow. Due to this trend and with
implementation of moose population composition objectives in the early 1990s, the GMU 13
moose population composition has been monitored closely to maintain a sustainable harvest and
high hunter satisfaction rates. Existing annual monitoring efforts for moose in GMU 13A and
13E address abundance, distribution, and recruitment for the purposes of assessing annual moose
population trends and related harvest regulatory strategies. These data, ho wever, are insufficient
to address potential Project-related impacts or to identify potential mitigation for moose. Data
collected through standard VHF radio telemetry, satellite-linked GPS telemetry, and aerial
surveys of population composition, density, and calf production will document currently used
areas, as well as provide data on the timing and duration of seasonal range use and the proportion
of the regional moose population that uses the Project area. Previous habitat evaluations were
based on vegetation cover types that were mapped within 16 kilometers (10 miles) on each side
of the Susitna River between Gold Creek and the Maclaren River (TES 1982). However, that
vegetation mapping was conducted over 30 years ago.
Both the vegetation and wildlife habitat mapping and the wildlife habitat evaluation will be
updated during Project studies (see Sections 11.5 and 10.19, respectively). The wildlife habitat
evaluation completed in the early 1980s was based largely on vegetation types. The current study
will go beyond vegetation mapping to document both habitat use by moose and the actual
biomass removed by browsing. Moose locations derived from this study will be used to develop
a stratified sampling design (Paragi et al. 2008) and to identify habitats that may be suitable for
treatment to enhance habitat for moose and other wildlife species using early successional stages
of vegetative communities.
The information developed will be used to inform development of appropriate protection,
mitigation, and enhancement measures for the Project in support of ADF&G management
objectives for moose in GMU 13.
Study Area 10.5.3.
The moose study area will include the majority of GMU 13E east of the Parks Highway and the
Alaska Railroad and from the Denali Highway south to upper Chunilna Creek (Figure 10.5-1).
The study area will also include a small portion of northwestern GMU 13A, from Kosina Creek
east to the Oshetna River drainage. The study area encompasses the reservoir inundation zone,
access and transmission corridors, and associated Project infrastructure. The study area is
somewhat larger than the Project area to fully evaluate the seasonal movements and habitat
preferences of moose likely to use the Project area.
Study Methods 10.5.4.
10.5.4.1. Moose Distribution, Movements, Productivity, and Survival
To delineate moose movements in the Project area, as well as to evaluate productivity and
survival, a sample of cow and bull moose will be equipped with VHF collars. Additionally, GPS
collars will be deployed on bulls and cows to detect fine-scale movements by both sexes.
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Moose will be captured and collared in late March and October–December, depending on
various factors including the physical condition of the moose and the timing of hunting seasons.
VHF collars are expected to function for 5 to 7 years, whereas GPS collars have a 2 -year life
span. If unexpected collar malfunctions or hunting losses occur, additional captures and collar
replacement outside of the outlined schedule may be required to maintain a sufficiently large
sample size.
In October 2012, 40 GPS collars were deployed on 26 cows and 14 bulls. At the same time, 10
VHF collars were deployed on 7 cows and 3 bulls. The GPS collars are scheduled to drop off on
November 1, 2014, for retrieval and downloading of all data stored in the collars. Another 50
VHF radio collars will be deployed in March 2013 on 33 cows and 17 bulls. The two separate
capture periods will help to address the spatial variability of a migratory moose population, as
well as potential loss of collared animals during the hunting season. The large sample size of
radio-collared moose, with a 2:1 ratio of cows to bulls, is expected to adequately record
movements and productivity of moose in the study area and to provide context on the relative
importance of the Project area in terms of available habitat throughout the year.
Monthly aerial radio-tracking surveys in fixed-wing aircraft will be conducted to document the
distribution of radio-collared moose in the study area. During the spring calving (May 10–June
15) and fall hunting seasons (September 1–20), aerial surveys will be conducted weekly to
document more frequently the distribution of moose in the study area. Additionally, to accurately
document productivity and associated calf loss, surveys will be conducted daily during calving.
Small fixed-wing airplanes (Piper PA-18 or similar) will be used for these radio-tracking flights.
Fine-scale movements will be monitored with the 40 GPS collars deployed in October 2012. Due
to the relatively consistent annual moose habitat use and movement patterns, the relatively short
2-year life span of GPS collars should be sufficient for documenting fine-scale movements of
moose in the study area. Considering that the Project area is used year-round by moose,
gathering daily locations with the use of GPS collars is the only way to ensure that habitat use
and travel patterns, particularly during calving, hunting season, and the rut for both sexes are
accurately identified.
GPS locations of collared moose will be used to evaluate spatial distribution and movements of
cows and bulls. Location, date, reproduction, and survival status will be documented for each
moose located during scheduled radio-tracking flights. Data mapping and spatial analyses will be
accomplished using ArcGIS software.
10.5.4.2. Population Monitoring
Moose populations will be evaluated using three survey techniques. Conventional survey
methods pertaining to optimal snow conditions, daylight, flight patterns, and other factors
(Ballard and Whitman 1988) will be used for all surveys to maximize survey precision, maintain
consistency among surveys, and facilitate comparisons with existing datasets. To assess winter
use of the reservoir inundation zone, ADF&G surveyed the area in late winter (March 20–22)
2012 and will do so again in 2013. Due to the seasonal absence of antlers, it will not be possible
to distinguish bulls from cows during late-winter surveys, but numbers of calves and adults will
be reported.
Intensive population estimates use GSPE techniques (Ver Hoef 2002; Kellie and DeLong 2006)
or the Gasaway method (Gasaway et al. 1986). The timing of population estimates will depend
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on weather conditions and snow cover, logistical considerations, and potential scheduling
conflicts with other concurrent moose surveys. The preferred approach is to estimate moose
populations above and below the proposed dam within the study area during one GSPE sampling
event, currently planned for November 2013. A total of at least 200 randomly selected 6-square-
mile sample units will be surveyed. If suitable survey conditions do not occur in November
2013, then the GSPE survey will be rescheduled for March 2014. Sample units will be flown at a
high search intensity (>6.5 minutes per square mile). Counts will be corrected for sightability
using established methods (Gasaway et al. 1986; Kellie and DeLong 2006).
Previously established trend count areas CA 7 and CA 14 (Figure 10.5-1) were surveyed in
November 2012 and will be surveyed again in November of 2013 and 2014 to obtain current data
for comparison with data from previous years.
10.5.4.3. Moose Browse Survey and Habitat Assessment
Techniques developed by Seaton (2002) and used subsequently by Paragi et al. (2008) and
Seaton et al. (2011) will be used to estimate the proportion of browse biomass removed by
moose. Current annual growth (CAG) of important browse species such as willow (Salix spp.),
aspen and balsam poplar (Populus spp.), and Alaska birch (Betula neoalaskana) will be
estimated. Only plants with CAG between 0.5 meters (1.6 feet) and 3 meters (9.8 feet) in height
will be sampled. Three plants per species at each sample plot will be selected and 10 twigs on
each plant will be measured. The diameter at the base of CAG (or the point where twig is
browsed, if older than last annulus) and the diameter at the point of browsing will be noted. The
duration of sampling will be 8 to 10 days each year in March 2013 and 2014. Sampling must
occur after most of the winter browse activity has occurred but before spring green-up. Small
helicopters will be used to access study plots. The browse study will be conducted for two years
to account for annual variability in snow depth and other conditions.
The seasonal use and importance of the inundation zone and access/transmission corridors will
be quantified primarily by analysis of GPS and VHF telemetry data to determine moose
movements and habitat preferences. Browse utilization surveys will further refine the relative
importance of habitat within the study area by documenting the impact of moose on vegetation.
Browse utilization surveys will cover available habitat above and below the dam within the
extent of the GSPE survey grid. Studies conducted for the Botanical Resources Program in
preparation for the Project licensing process—Vegetation and Wildlife Habitat Mapping in the
Upper and Middle Susitna Basin (Section 11.5), Riparian Vegetation Study Downstream of the
Proposed Susitna–Watana Dam (Section 11.6), and Wetland Mapping Study in the Upper and
Middle Susitna basin (Section 11.7)—will help to identify areas where potential habitat
improvement may be considered to mitigate for the loss of habitat in the Project area.
Consistency with Generally Accepted Scientific Practice 10.5.5.
Moose movement patterns and productivity and survival in the Project area will be studied by
marking animals with radio and GPS satellite collars. The combination of these two collar types
will provide both broad-scale and local-scale information on movement patterns in the Project
area. These data will be necessary to evaluate broad (seasonal) movements and more local-scale
movements within those areas expected to be affected by Project development. The use of these
two collar types represents a robust approach to collecting data on moose movement patterns,
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productivity, and survival that are widespread in Alaska and elsewhere. The outlined sample
sizes should be more than sufficient for an accurate and precise representation of moose
distribution, movements, and productivity within the study area.
The capture methods employed in this study will be standard capture, handling, and monitoring
techniques for moose (Schmitt and Dalton 1987). Helicopters and chemical immobilization
techniques will be utilized for moose captures. All methods will be fully evaluated and compliant
with Alaska Interagency Animal Care and Use Committee certification. Standard permits
required by the State of Alaska for animal capture and monitoring are in-hand.
Moose population monitoring will be conducted by intensively surveying randomly located plots
and extrapolating those data to the study area, a technique that is widely used in Alaska and is
the appropriate sampling design for determining population levels of ungulates that are widely
dispersed across the landscape (Gasaway et al. 1986; Ver Hoef 2002; Kellie and DeLong 2006).
Moose browse will be studied using methods developed by ADF&G for studies in Interior
Alaska to estimate the proportion of browse biomass removed (Paragi et al. 2008; Seaton et al.
2011). These currently are considered to be the most appropriate methods for quantifying moose
browse in Alaska.
Schedule 10.5.6.
This study is a multi-year effort that began in 2012 with a late-winter population survey in the
reservoir inundation zone and initial collar deployment and radio-tracking in the fall and early
winter. To meet the needs of the FERC study process, the Initial Study Report (ISR) will be
completed by February 2014 and the Updated Study Report (USR) will be complete d by
February 2015 (Table 10.5-1), and will include the results of the browse surveys and habitat
assessment. Because the battery life of some of the radio collars will extend beyond December
2014, however, ADF&G will continue to survey and monitor those collared moose throughout
the collar life span (approximately 2016) and will produce a final technical summary report at
that time. However, the 2.5 years of study information that will be summarized in the Updated
Study Report is expected to provide sufficient information to assess the potential impacts of the
Project on moose.
VHF collars and GPS collars were deployed in October 2012 and will be monitored at least
monthly for the life of the study. In March 2013, more VHF collars will be deployed for
monitoring at least monthly. Another population survey of adults and calves in the reservoir
inundation zone and adjacent habitats will be conducted in March 2013, and winter browse
surveys will be conducted in March 2013 and 2014. Radio collars will be tracked every two
weeks during May 10–June 15 in 2013 and 2014, including daily monitoring during calving each
year. Radio collars also will be tracked weekly during September 1–20 in 2013 and 2014. Post-
rut aggregation composition surveys will be conducted in CA 7 and CA 14 in November 2013
and 2014 and the GSPE survey of the areas above and below the proposed dam will be
conducted in November 2013 (or March 2014). Any remaining GPS collars will be retrieved in
March 2015.
In 2014 and 2015, licensing participants will have opportunities to review and comment on the
study reports (ISR in early 2014 and USR in early 2015). Updates on the study progress will be
provided during Technical Workgroup meetings which will be held quarterly in 2013 and 2014.
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Relationship with Other Studies 10.5.7.
As is depicted below (Figure 10.5-2), the moose study will rely on the Vegetation and Wildlife
Habitat Mapping Study in the Upper and Middle Susitna Basin (Section 11.5) to identify habitats
that are likely to receive higher levels of use by moose, which will then be used to stratify and
allocate sampling effort for GSPE surveys and browse surveys. If the GSPE effort is
accomplished in 2012 (before preliminary mapping is available from the 2013–2014 study), then
the best available vegetation mapping information will be used, including historical mapping
from the original APA Susitna Hydroelectric Project. Data from tracking radio collars, from
winter population surveys, and from the browse surveys will be used for habitat ranking in the
Evaluation of Wildlife Habitat Use (Section 10.19). Geospatial analysis of habitat and their
values will be used to quantify potential effects and to evaluate potential PM&E measures, as
appropriate, in the impact assessment that will be conducted in 2015 for the FERC License
Applications.
The primary potential impacts of Project construction and operation, as described in the Pre-
application Document (AEA 2011), are moose habitat loss and alteration, blockage of
movements, and increased mortality due to subsistence and recreational harvest facilitated by
improved hunter access along transmission and access corridors. Data on the population,
distribution, productivity, and habitat use of moose in the study area will be used to assess
Project impacts in the impact assessment that will be conducted in 2015 for the FERC License
Application. Location data, population data, and browse intensity data can be plotted on the
wildlife habitat map that will be developed for the Vegetation and Wildlife Habitat Mapping
Study in the Upper and Middle Susitna Basin (Section 11.5) to identify important moose habitats
or to provide quantitative or semi-quantitative estimates of habitat value. Direct habitat loss can
be calculated through geospatial analysis by overlaying the impoundment, access and
transmission corridors, and related Project infrastructure onto the habitat map and evaluating the
loss of important moose habitats. Indirect habitat loss and alteration and avoidance impacts can
be estimated by applying various buffer distances, as determined from available information on
the anticipated effects of similar projects or activities on moose. By incorporating population
data from the various surveys into the analysis, the number of animals affected can be estimated.
In this way, the Geographic Information System (GIS) analysis will be combined with
information from the literature to estimate the geographic extent, frequency, duration, and
magnitude of Project effects on moose populations. The concurrent investigation of riparian
habitats downstream of the dam site (Floodplain and Riparian Instream Flow Study [Section 8.6]
and Riparian Vegetation Study Downstream of the Proposed Susitna–Watana Dam (Section
11.6) will provide additional data with which to assess impacts on moose, establishing baseline
conditions and modeling riparian succession in areas in which habitat or browse availability may
be affected by altered flow regimes. Harvest data collected by ADF&G and USFWS for the
Wildlife Harvest Analysis (Section 10.20) will be used to establish baseline harvest levels and to
monitor increased harvest that may result from improved access. Data on the movements of
radio-collared moose can be used to assess potential blockage of movements in the inundation
area. Any necessary protection, mitigation, and enhancement (PM&E) measures will be
developed by examining the seasonal distribution and abundance of moose among habitats in
relation to the geographic extent and seasonal timing of various Project activities.
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Level of Effort and Cost 10.5.8.
The cost of this multi-year study is estimated to total approximately $750,000.
Literature Cited 10.5.9.
AEA (Alaska Energy Authority). 2011. Pre-Application Document: Susitna-Watana
Hydroelectric Project FERC Project No. 14241. December 2011. Prepared for the Federal
Energy Regulatory Commission by the Alaska Energy Authority, Anchorage, Alaska.
AEA. 2012. W-S1: Big-game movement and habitat use study for the Susitna–Watana
Hydroelectric Project, FERC Project No. 14241. Draft final version (March 21, 2012).
Alaska Energy Authority, Anchorage.
Ballard, W. B., and J. S. Whitman. 1988. Susitna Hydroelectric Project, Final report, Big game
studies, Vol. II—Moose Upstream. Alaska Department of Fish and Game. 150 pp.
Kellie, K. A., and R. A. Delong. 2006. Geospatial survey operations manual. Alaska Department
of Fish and Game, Division of Wildlife Conservation, Fairbanks. 55 pp.
Gasaway, W. C., S. D. DuBois, D. J. Reed, and S. J. Harbo. 1986. Estimating moose population
parameters from aerial surveys. Biological Papers of the University of Alaska, No. 22,
Fairbanks. 108 pp.
Paragi, T. F., C. T. Seaton, and K. A. Kellie. 2008. Identifying and evaluating techniques for
wildlife habitat management in Interior Alaska: moose range assessment. Final research
technical report, Federal Aid in Wildlife Restoration Grants W-33-4 through W-33-7,
Project 5.10. Alaska Department of Fish and Game, Division of Wildlife Conservation,
Juneau. 76 pp.
Schmitt, S. M., and W. J. Dalton. 1987. Immobilization of moose by carfentanil and xylazine and
reversal with naltrexone, a long acting antagonist. Alces 23: 195–219.
Seaton, C. T. 2002. Winter foraging ecology of moose in the Tanana Flats and Alaska Range
foothills. M.S. thesis, University of Alaska, Fairbanks. 101 pp.
Seaton, C. T, T. F. Paragi, R. D. Boertje, K. Kielland, S. DuBois, and C. L. Fleener. 2011.
Browse biomass removal and nutritional condition of Alaska moose Alces alces. Wildlife
Biology 17: 55–66.
TES (Terrestrial Environmental Specialists). 1982. Susitna Hydroelectric Project, Task 7 —
Environmental studies, Wildlife ecology: Wildlife habitat-value analysis. Report prepared
by Terrestrial Environmental Specialists, Inc., Phoenix, NY, for Acres American, Inc.,
Buffalo, NY. 100 pp.
Ver Hoef, J. M. 2002. Sampling and geostatistics for spatial data. Ecoscience 9: 152–161.
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Tables 10.5.10.
Table 10.5-1. Schedule for implementation of the Moose Distribution, Abundance, Movements, Productivity, and Survival
study.
Activity
2012 2013 2014 2015
4 Q 1 Q 2 Q 3 Q 4 Q 1 Q 2 Q 3 Q 4 Q 1 Q
Initial deployment of VHF and GPS
collars, with monitoring at least monthly
Deployment of remaining VHF collars,
with monitoring at least monthly
Monitor radio collars every two weeks
and daily during calving
Conduct adult/calf population survey of
inundation zone and adjacent habitat
Conduct winter browse survey
Conduct GSPE survey for areas above
and below proposed dam
Conduct post-rut aggregation
composition surveys in CA7 and CA14
Initial Study Report Δ
Updated Study Report ▲
Remove GPS collars
Legend:
Planned Activity
Follow-up activity (as needed)
Δ Initial Study Report
▲ Updated Study Report
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Figures 10.5.11.
Figure 10.5-1. Moose study area.
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Vegetation and Wildlife Habitat
Mapping Study in the Upper and
Middle Susitna basin (Section 11.5)
Distribution of habitat
types for GSPE sample
stratification
(1Q–2013)
Distribution of habitat
types for sample allocation
(1Q–2013 & 1Q–2014)
STUDY INTERDEPENDENCIES FOR MOOSE STUDY
Winter
population
surveys
Deployment and tracking
of GPS and VHF radio
collars for data on
seasonal distribution,
movements, productivity,
survival, & habitat use
Browse
surveys
Evaluation of
Wildlife Habitat Use
(Section 10.19)
Proportional removal of
browse biomass among
habitat types
(3Q–2013 & 3Q–2014)
GIS database of moose locations with
reproduction, survival, and habitat use
attributes
(4Q–2013 & 4Q–2014)
Inundation zone counts,
GSPE population estimate,
trend counts
(4Q–2013 & 4Q–2014)
Figure 10.5-2. Interdependencies for moose study.