White Gold Area Cumulative Effects Report — Version 3.0

2195 2nd Avenue
Whitehorse, YT Y1A 3T8
P: (867) 393-4882 ▪ F: (867) 393-4883
June 14, 2013
EDI Job Number: 10-Y-0514
Yukon Environmental and Socio-economic Assessment Board
Suite 200-309 Strickland Street
Whitehorse, Yukon Y1A 2J9
Attention: Steve Caram, Project Assessment Manager
Re:
White Gold Area Cumulative Effects Report — Version 3.0
Version
Notes
1.0
2.0
3.0
Original document
Update to moose harvest statistics and linear disturbance spatial data.
All maps include new linear features and projects.
Updated project inclusion list.
Addition of game management subzones in moose analysis.
Inclusion of 40 Mile Caribou Herd habitat model.
Updated sheep distribution information.
Date
15 June 2010
17 March 2011
14 June 2013
This report summarizes selected cumulative anthropogenic disturbance metrics related to wildlife in the
"White Gold Assessment Area", an area within a 70 km radius of the White Gold property south of
Dawson City, Yukon. A relatively high number of project proposals for quartz exploration activities in this
area were submitted to the Yukon Environmental and Socio-economic Assessment Board (YESAB)
beginning in early 2010. Many of the projects are proposed to occur at the same time and include
exploration-related activities such as land clearing, aircraft overflights, drilling, road/trail improvements,
camps and/or development. The project inclusion list was provided by YESAB staff and is presented in
Appendix A. Only mining project proposals submitted to YESAB beginning in 2008 to the end of 2012 are
included in the project inclusion list.
Assessments under the Yukon Environmental Socio-economic Assessment Act (YESAA) require the
consideration of cumulative environmental and socio-economic effects (YESAA Sec. 42(1)(d)). To assist
with the compilation, synthesis and analysis of information in support of their cumulative effects assessment
related to wildlife in this area, the YESAB retained the services of EDI Environmental Dynamics Inc (EDI).
Re: White Gold Area Cumulative Effects Report — Version 3.0
June 14, 2013
STUDY AREA
The study area is a 70 km radius buffer centered on the White Gold property, roughly at the confluence of
the White and Yukon rivers. This ~16,000 km² area encompasses advanced exploration projects from the
Casino Project in the south, north to Dawson City, east to Mount Adam, and west to the Alaska border.
Caribou and sheep distributions, and habitat, linear and areal disturbances, and access points to trails were
identified within this area as described below. A description of the methods used to delineate
habitat/distribution, and quantitative results are summarized accordingly.
CHARACTERIZATION OF PROJECT EFFECTS
The project submissions that were considered in the cumulative effects overview include 38 mining
exploration or development projects submitted to YESAB up to the end of 2012 (Appendix A, Table A1).
Each project submission was reviewed to determine proposed disturbances such as extent of land clearing,
road/trail development, timing and type of activities, etc. Using that information, a spatial database was
created in ArcGIS that included project boundaries (e.g., claim blocks), proposed trail development (when
available on maps), trenching areas, camp placement, and other disturbances. When spatially-explicit data
were not available, disturbance was quantified as total area disturbed (e.g., length and width of trails) and
assumed to be equally distributed throughout claims blocks within individual project boundaries.
VALUED COMPONENTS
The scope of the information overview was narrowed to determine the potential cumulative effects on
moose (increased human access), thinhorn sheep (disturbance in known/possible habitat areas), and caribou
(development in potential winter habitat of the Fortymile Caribou Herd) within the White Gold Assessment
Area. To determine habitats that were important to these species we used a combination of literature review,
expert opinion, and consultation with local land users. In 2010, we contacted people who had local
knowledge of the area to acquire information that would help us determine habitat use and distribution of
caribou and sheep within the study area. Local people contacted include:





Linda Taylor — Dawson RRC and resident of Kirkman Creek
Will Fellers — miner on Kirkman Creek and pilot
Lorne Larocque — Regional Biologist (acting), Kluane Region, Yukon Government
Dorothy Cooley — Regional Biologist, Northern Region, Yukon Government
Jake Duncan — Local hunter and trapper
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MOOSE
Distribution — Moose are considered to be ubiquitous throughout the entire study area, though density
may vary according to habitat quality.
Habitat — Moose habitat use is seasonal. Good moose habitat will include diverse cover types and forest
age classes. Open and disturbed areas are used for foraging while closed mature forests provide cover from
predators and reduced snow depth in winter. Disturbances, both natural and anthropogenic, provide the
high quality early succession forest communities that moose select because they commonly contain
abundant browse. Late-winter habitats are often identified as the most important seasonal habitat, and are
generally characterized by lower elevation river valleys that contain abundant winter food (e.g. willow).
Issue — New access into previously inaccessible areas that could cause increased harvest of moose was
determined to be an issue of concern for the moose population in the assessment area. Environment
Yukon’s moose management guidelines state:
“Allowable harvest rates for Yukon moose populations can range from 2 to 5%. The Annual Allowable Harvest
(AAH) for naturally regulated, relatively stable moose populations of average density is 3 to 4 percent. This is based on
Yukon and Alaska management experience and case history analysis.” (Moose Population Management
Guideline # 62, 1996).
Average moose density in southern Yukon is 150–249 moose/1,000 km². Naturally regulated populations
are those where the predator-prey system is intact and human influences to the moose population dynamics
are minor. Stability is ideally assessed by comparing results of multiple surveys, but often it is done by
looking at harvest numbers and estimating how harvest effort has changed.
To determine the quantity of linear disturbances such as roads and trails in the assessment area, linear
disturbances were digitized and analyzed in a Geographic Information System (GIS). Base data were
provided by Environment Yukon, with a GIS layer containing linear features throughout much of the area
(Map 1). EDI supplemented the data layer using the same digitizing technique used to produce the original
Environment Yukon layer. In addition, transportation base layers displaying road networks were used to
supplement linear disturbance data where appropriate. The detailed methods are summarized in
Appendix B.
To quantify the possible effects of future linear features on moose harvest, we obtained the most recent
moose harvest (5 year average) and population density estimates by Game Management Area (GMA;
equivalent to Game Management Sub-zone) from Environment Yukon. The harvest and existing access
data were summarized by GMA (Table 1). Currently, the 5 year (2008–2012) average moose harvest exceeds
Environment Yukon moose management guidelines in GMA 313 with an average annual harvest rate of
6.8% of the 2012 moose population estimate in the GMA.
To determine if there is a correlation between moose harvest and human access to a GMA, we modeled
total moose harvest (response variable) as a function of moose density, road/trail access density, and the
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length of major rivers within or bounding each GMA. Initial inspection of the data suggested that GMA 313
was an outlier because the harvest was so much greater than other GMAs; therefore, GMA 313 was
removed from the analysis to keep from violating the assumptions of the model. An interaction between
river and trail variables was included as a term in the model. Using a model simplification function, the
minimally adequate model was selected by choosing the model with the lowest Akaike Information Criterion
value. The minimally adequate model excluded the interaction between river and trail access, but included
moose density and both metrics of human access, river and trail access, as explanatory variables (F3,12=9.14,
p<0.002, adjusted R²=0.62); however, the only statistically significant variable explaining moose harvest was
trail density. Visual inspection of the model residuals did not indicate any major violations of the model
assumptions. The number of moose harvested is independent of moose density (t=1.46, P<0.18) and river
access (t=1.85, P<0.09), but the number of moose harvested in each GMA increased by 3.12 moose (±1.27
SE) for every additional 1 km of trail access per 1 km2 of area (t=2.46, p<0.03). The results indicate that the
average number of moose harvested during the previous five years is correlated with human access from
trails, but independent of moose population and river access. These results are correlational and not causal,
and based on a small sample size (N=16). A more robust analysis could reveal that other factors explain the
data better. However, the data indicates correlation between trail access and the average number of moose
harvested per year.
To determine the potential effects of proposed projects on moose, new access was added to existing access
within each GMA where projects are proposed to occur. Most projects did not have new road or trail access
specifically mapped, so when projects crossed GMA boundaries, access was equally divided among all claim
blocks. Each project’s contribution to new access by GMA was summed and the density of new access
(km/km²) was calculated by GMA (Appendix A, Table A2).
To estimate the effects of increased road density on moose harvest, the proposed increase in road density
was multiplied by a factor of 3.12 (Table 2). The combined increase in linear access provided by four
projects proposed in GMA 312 is estimated to result in an increase in the moose harvest rate from 3.1 to
3.3%. The six projects proposed to occur in GMA 313 are estimated to increase the moose harvest rate
from 6.8% (existing conditions already exceeding the harvest threshold) to 6.9%. There is little expected
increase in harvest pressure within the remaining GMAs as a result of access development for proposed
projects.
Table 1.
GMA
Summary of existing moose harvest and human access within Game Management Areas (GMAs) in the
White Gold Assessment Area.
Area (km²)
Moose Density
(moose/km²)
0.117
Moose Harvest¹
Existing trail
access (km)
319.8
River access (km)
303
1408
304
2039
0.081
0.8
0.2
729.9
0.0
305
1147
0.144
0.8
0.4
200.2
0.0
306
1740
0.095
2.4
0.8
230.2
57.6
307
1246
0.213
5.2
1.6
1352.2
40.4
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3.2
Moose Harvest
Rate (% pop. est.)
1.4
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GMA
Area (km²)
Moose Density
(moose/km²)
0.196
Moose Harvest¹
Existing trail
access (km)
888.9
River access (km)
308
1380
309
917
0.256
2.6
1.2
116.2
37.8
310
1402
0.235
5.4
1.2
733.8
59.5
311
1125
0.231
4.8
1.6
371.7
50.5
312
834
0.324
7.0
3.1
353.0
55.2
313
978
0.153
10.0
6.8
257.5
118.1
314
1727
0.087
3.4
1.3
186.0
85.5
315
907
0.187
1.4
0.9
118.0
30.7
501
1792
0.098
1.6
0.5
171.3
0.0
502
1648
0.127
3.4
1.0
44.5
29.3
503
1387
0.130
1.2
0.5
65.0
23.0
509
1026
0.141
1.8
1.2
281.4
31.3
¹
Table 2.
GMA
5.4
Moose Harvest
Rate (% pop. est.)
1.4
0.0
:the average harvest for the years 2008–2012
Summary of the cumulative effect of the proposed projects on moose harvest by Game Management Areas
(GMAs) as a result of increased access in the White Gold Assessment Area.
New access
density
(km/km²)
303
0.014
304
Predicted increase in
moose harvest per
year [Proposed new
access density*3.11]
Existing
moose
harvest/year
Estimated
moose
harvest with
projects
Existing
harvest rate
(% of
population)
Estimated
harvest rate
with projects
(% of
population)
1.4
232.3
3.2
3.2
1.4
NC
336.5
0.8
0.8
0.2
0.2
305
NC
189.3
0.8
0.8
0.4
0.4
306
0.411
1.279
287.1
2.4
3.7
0.8
1.3
307
0.016
0.049
330.1
5.2
5.2
1.6
1.6
308
0.019
0.059
372.7
5.4
5.5
1.4
1.5
310
0.026
0.081
462.6
5.4
5.5
1.2
1.2
311
0.031
0.095
292.4
4.8
4.9
1.6
1.7
312
0.148
0.462
225.1
7.0
7.5
3.1
3.3
313
0.042
0.131
146.7
10.0
10.1
6.8
6.9
314
0.070
0.218
259.0
3.4
3.6
1.3
1.4
315
NC
154.2
1.4
1.4
0.9
0.9
316
NC
453.7
1.4
1.4
0.3
0.3
501
NC
313.6
1.6
1.6
0.5
0.5
502
0.005
0.015
346.0
3.4
3.4
1.0
1.0
503
0.078
0.244
249.6
1.2
1.4
0.5
0.6
504
NC
397.8
3.8
3.8
1.0
1.0
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0.042
Total moose
estimate in
GMA
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GMA
NC
New access
density
(km/km²)
Predicted increase in
moose harvest per
year [Proposed new
access density*3.11]
Total moose
estimate in
GMA
Existing
moose
harvest/year
Estimated
moose
harvest with
projects
Existing
harvest rate
(% of
population)
Estimated
harvest rate
with projects
(% of
population)
1.4
509
0.078
0.244
148.7
1.8
2.0
1.2
510
0.009
0.027
142.3
0.4
0.4
0.3
0.3
511
0.015
0.048
47.6
0.6
0.6
1.3
1.4
: no change, or project does not occur in GMA
: exceeds YG management guideline threshold
THINHORN SHEEP
Distribution — Very little information is available for thinhorn sheep within the study area. Published
accounts of thinhorn sheep distribution have not identified this region as a known area of concentration
(Worley et al. 2004; Loehr et al. 2006). Sheep select habitat that contains escape terrain, open south-facing
slopes and suitable grazing habitat (Rachlow and Bowyer 1998; Walker et al. 2007); both the alpine and river
valley habitats provide these features. There is limited suitable high elevation terrain in the study area, but
local land users who travel the Yukon River frequently observed sheep on large rocky slopes along the
Yukon River. The confluence of Ballarat Creek and the Yukon River, and the confluence of the White and
Yukon rivers were identified as sheep range during interviews and were confirmed during a sheep survey in
2012. Interviewees also noted other infrequent summer observations of sheep on other south to west facing
slopes along the Yukon River within the study area. Three areas are known to be consistently used by sheep:



Mount Maclennan;
A large south facing slope at the confluence of the White and Yukon rivers; and
South facing slopes on the Yukon River at the confluence with Ballarat Creek (Map 2).
These identified sheep ranges does not mean that sheep will not be present in other areas; however, the lack
of incidental sheep observations collected during moose, caribou and wolf surveys suggests that sheep are
unlikely to be observed in other areas containing suitable habitat in the region.
FORTYMILE CARIBOU
Distribution — The Fortymile caribou herd is a migratory herd that calves in Alaska and winters near the
Alaska-Yukon border. Historically, the herd may have been as large as 500,000 caribou and the winter range
of the herd included much of the southwestern Yukon, and may have extended almost to Whitehorse.
Overharvest during the Klondike gold rush and possibly change in habitat resulted in the herd being
reduced to approximately 5,000 caribou by the 1970s. In 2003, the population was estimated to include
about 43,000 caribou (Barker et al. 2011). As the herd grew during the past few decades it started to use
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previously abandoned winter range within Yukon. Today the herd range in Yukon includes roughly
12,353 km².
Migratory caribou winter range use is somewhat unpredictable; therefore, determining where the Fortymile
caribou herd will overwinter is difficult. Environment Yukon’s current Fortymile herd range includes the
area north of the White River and west of the Yukon River. Information from a local land user (J. Duncan,
2010 pers. comm.) indicates that there is evidence (dropped antlers) of caribou using habitat east of the
Yukon River. Winter range use will probably continue to expand, even further into Yukon, as the herd size
increases. Consequently, protecting habitat historically used by the Fortymile caribou herd has been
identified “as an important element in supporting the long-term growth and sustainability of the herd” (Environment
Yukon 2008).
Issue — Winter habitat is critical for the continued viability of caribou populations. Human alterations to
habitat, particularly winter habitat, is considered the likely mechanism causing caribou population declines
across southern Canada.
Fortymile caribou use winter range within the Yukon. A winter habitat model was developed by
Environment Yukon (see Barker et al. 2011) and was provided to EDI for the purpose of this report. The
model output is spatially explicit data that quantifies the current suitability of habitat for Fortymile caribou
in Yukon. To quantify the potential loss of habitat, we developed a habitat suitability index (HSI) that
categorized habitat as high, moderate, or low quality (see details in Appendix B).
Baseline anthropogenic disturbance was quantified using the National Road Network road layer, and
Environment Yukon’s digitized linear and areal disturbances in the Dawson Planning region. Those data are
the most complete representation of anthropogenic habitat disturbances within the assessment area.
Combined current anthropogenic disturbance accounts for 0.22% of the current Fortymile caribou herd
winter habitat within the study area, and none of the high quality habitat is currently disturbed by roads or
other clearings (Table 3).
To quantify the addition of new disturbance from the proposed projects on Fortymile caribou winter range,
the maximum amount of proposed clearing for each project was equally divided among all project claim
blocks. Each project’s potential impact to high, moderate, and low quality caribou habitat was then
quantified (Table 4). The cumulative effect of all proposed projects within the study area that overlap with
the Fortymile caribou herd winter range has the potential to remove an additional <0.01%, 0.14%, and
0.16% of high, moderate, and low quality caribou winter habitat, respectively (Table 4).
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Table 3.
Summary of total available Fortymile caribou herd winter habitat (existing baseline) in the White Gold
Assessment Area.
Fortymile caribou herd winter
habitat in study area
Habitat quality
Area (km2)
High
Moderate
Fortymile caribou herd winter habitat currently
impacted in study area
% winter habitat
Area (km2)
% winter habitat
2.8
0.07%
0.00
0.00%
535.0
13.32%
0.99
11.16%
Low
3,479.6
86.61%
7.91
88.84%
Total
4,017.4
100.00%
8.91
100.00%
Table 4.
Project
2012-0071
2012-0064
2012-0040
2011-0185
2011-0132
2011-0091
2010-0073
Total
Summary of project effects on Fortymile caribou herd winter habitat within the White Gold Assessment
Area.
Habitat quality
Habitat within
claims (km²)
Habitat lost to
footprint (km²)
% change in
herd range within
assessment area
% change in herd
range
Low
18.97
0.02
0.00
0.00
Moderate
14.13
0.01
0.00
0.00
High
0.00
0.00
0.00
0.00
Low
24.23
0.95
0.03
0.01
Moderate
12.37
0.49
0.10
0.02
High
0.00
0.00
0.00
0.00
Low
335.53
3.22
0.09
0.04
13.75
0.13
0.03
0.00
High
0.00
0.00
0.00
0.00
Low
434.77
0.06
0.00
0.00
Moderate
172.89
0.02
0.00
0.00
High
11.21
0.00
0.05
0.00
Low
91.81
0.24
0.01
0.00
Moderate
11.38
0.03
0.01
0.00
High
0.00
0.00
0.00
0.00
Low
52.05
0.04
0.00
0.00
Moderate
15.05
0.01
0.00
0.00
High
0.00
0.00
0.00
0.00
Low
62.01
0.94
0.03
0.01
1.50
0.02
0.00
0.00
High
0.00
0.00
0.00
0.00
Low
1019.37
5.45
0.16
0.06
241.07
0.71
0.14
0.03
11.21
0.00
0.00
0.00
Moderate
Moderate
Moderate
High
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This review was conducted by Graeme Pelchat (M.Sc., P.Biol) and Michael Setterington (M.Sc., R.P.Bio).
Matt Power (AScT). Laura Grieve (B.Sc.) conducted the GIS analyses and prepared the figures.
Yours truly,
EDI Environmental Dynamics Inc.
Graeme Pelchat, M.Sc, P.Biol.
Wildlife Biologist
EDI Project #: 10-Y-0514
EDI ENVIRONMENTAL DYNAMICS INC.
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Map 1: White Gold Assessment Area — Moose
Legend
Linear Disturbance
Game Management Subzones
M. Power / L. Grieve
G. Pelchat
02 April 2013
NAD 1983 Yukon Albers
10-Y-0514
Drawn By:
Checked By:
Date:
Projection:
EDI Project #:
0
5
10
15
Prepared for:
20
Kilometres
Study Area
Quartz/Placer Property
White Gold
Assessment Area
Dawson City
National Road Network
!
Map Scale: 1:600,000 (when printed on 11x17)
Map Projection: NAD 1983 Yukon Albers
Prepared by:
Beaver Creek
!
Disclaimer: This document is not an official land
survey. The spatial data presented on the map
is subject to change without notice.
Whitehorse
!
Document Path: J:\Yukon\P rojects\2010\10_Y_0514_Y ESAB _W hite_Gold_CEA_update\Mapping\2012\Map1_Moose.mxd
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Map 2: White Gold Assessment Area — Thinhorn Sheep Habitat
Legend
Linear Disturbance
National Road Network
Study Area
Quartz/Placer Property
Wildlife Key Areas (Thinhorn Sheep)
M. Power / L. Grieve
G. Pelchat
02 April 2013
NAD 1983 Yukon Albers
10-Y-0514
Drawn By:
Checked By:
Date:
Projection:
EDI Project #:
0
5
10
15
Prepared for:
20
Kilometres
White Gold
Assessment Area
Map Scale: 1:600,000 (when printed on 11x17)
Map Projection: NAD 1983 Yukon Albers
Wildlife Key Areas courtesy
Government - Environment Yukon.
of
Prepared by:
Yukon
Document Path: J:\Yukon\P rojects\2010\10_Y_0514_Y ESAB _W hite_Gold_CEA_update\Mapping\2012\Map2_S heep.mxd
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M. Power / L. Grieve
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02 April 2013
10-Y0514
Drawn By:
Checked By:
Date:
EDI Project #
lc h
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Prepared for:
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Map Scale: 1:700,000 (when printed on 11x17)
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!
Prepared by:
Map Projection: NAD 1983 Yukon Albers
Study Area
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Klines Gulc h
I
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Legend
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Forty Mile Caribou Herd Habitat Suitability
provided by Yukon Government - Environment
Yukon.
!
Whitehorse
!
Document Path: J:\Yukon\P rojects\2010\10_Y_0514_Y ESAB _W hite_Gold_CEA_update\Mapping\2012\Map3_Caribou.mxd
Re: White Gold Area Cumulative Effects Report — Version 3.0
June 14, 2013
LITERATURE CITED
Barker, O., T. Hegel, S. Westover, D. Cooley, and M. Kienzler. 2011. Late Winter Habitat Selection by
Fortymile Caribou in the Dawson Region. Yukon Fish and Wildlife Branch Report TR-11-XX,
Whitehorse, Yukon, Canada.
Environment Yukon 2008. Information for Decisions, 2007 Fish and Wildlife Inventory Program Project
Summaries. Yukon Government.
Loehr, J., K. Worley, A. Grapputo, J. Carey, A. Veitch, and D. W. Coltman. 2006. Evidence for cryptic
glacial refugia from North American mountain sheep mitochondrial DNA. Journal of Evolutionary
Biology 19:419–430.
Rachlow, J. L. and Bowyer, R. T. 1998. Habitat selection by Dall's sheep (Ovis dalli): maternal trade-offs.
Journal of Zoology 245: 457–465.
Walker, A. B. D., K. L. Parker, M. P. Gillingham, D. D. Gustine, and R. J. Lay. 2007. Habitat selection by
female Stone’s sheep in relation to vegetation, topography, and risk of predation. Ecoscience 14:55–
70.
Worley, K., C. Strobeck, S. M. Arthur, J. Carey, H. Schwantje, A. Veitch, and D. W. Coltman. 2004.
Population genetic structure of North American thinhorn sheep (Ovis dalli). Molecular Ecology
13:2545–2556.
Spatial Data
Environment Yukon. 2012. Dawson Land Use Planning region anthropogenic disturbance database
produced by Habitat Programs Section, Fish and Wildlife Branch, Environment Yukon,
Government of Yukon, Whitehorse. Provided by Heather Clarke.
Environment Yukon. 2012. Late Winter Habitat Selection by Fortymile Caribou in the Dawson Region.
Raster dataset produced by Habitat Programs Section, Fish and Wildlife Branch, Environment
Yukon, Government of Yukon, Whitehorse. Provided by Troy Hegel.
Environment Yukon. 2013. Yukon Wildlife Key Area Inventory. Digital database and software produced by
Habitat Programs Section, Fish and Wildlife Branch, Environment Yukon, Government of Yukon,
Whitehorse. Provided by Marcus Waterreus.
EDI Project #: 10-Y-0514
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APPENDIX A: Project Inclusion list and new access in the White Gold Assessment Area.
Table A2
YESAB Project submissions considered in the White Gold Assessment Area.
YESAB project number
2008-0071
2008-0180
2008-0209
2009-0051
2009-0052
2009-0099
2009-0128
2009-0202
2009-0232
2009-0235
2010-0006
2010-0017
2010-0030
2010-0044
2010-0056
2010-0073
2010-0075
2010-0076
2010-0077
2010-0087
2010-0110
2010-0111
2010-0138
2010-0139
2010-0185
2010-0207
2010-0211
2010-0258
2011-0011
2011-0013
2011-0019
2011-0022
2011-0048
2011-0077
2011-0091
2011-0111
2011-0132
2011-0146
2011-0185
2011-0219
2011-0237
2011-0311
2011-0314
2012-0008
2012-0018
2012-0040
2012-0063
2012-0064
EDI Project #: 10-Y-0514
Project title
Tenderfoot Exploration
Casino Property
Quartz Exploration, Boulevard Claim
H.C. Mining Ltd. Henderson Creek Placer
Kirkman
Van Every Inc. placer mining operation on Maisy May Creek
Eureka Property – Quartz Exploration
Placer Mine at Moose horn Ck, Quad 115 O/10g, Dawson M.D.
Casino Trail Winter Road
White Gold – Winter Trail Access Project
Placer mining operation on lower Kirkman Creek
Quartz Exploration on the TIK Project
Indian River Placer Mine
Brittannia Creek Road Re-alignment
Placer Mine on Frisco Creek
Quart Exploration - JP Ross MLUP Application
Quartz Exploration - Touleary Property
Quartz Exploration at Green Gulch
Quartz Exploration - Dan Man
Coffee, Cream and Kirkman Claims - Quartz Exploration
Quartz Exploration at Flume Property
Placer Mine at Donahue Creek
Quartz Exploration - River Property
Quartz Exploration - YK Property
Quartz Exploration - White Gold Class IV MLUP Amendment
Laskey Creek Placer Mining - Amendment
Placer Mine on Tributaries at Headwaters of Maisy May Creek
Sarah Baker- Placer Mining Operation on Quartz Creek Bench
Placer Mine- Indian RiverWatershed
Robyn and Merrit Sager placer mining operation on Barker Creek
Quartz Exploration - Coffee Creek
Quartz Exploration - Whiskey Project
Quartz Exploration - Wolf Property
Quartz Exploration - Boulevard
Quartz Exploration - IND Property, 2011 Program
2011 Trenching and Drilling Program: HEN Property
Quartz Exploration - White Gold, Taku Gold
Placer Mining - Sulphur Creek
Quartz Exploration – Dime Property, Stina Resources Ltd.
Placer Mine – Ballarat Creek – Brian Weber
Placer Mine – Thistle Creek – Schmidt Mining
Placer Mine – Java Placer Mining Project – La Tierra Resources Ltd.
Placer Mine – Upper Thistle Creek – Merrit Sager
Quartz Exploration – Quartz Class 3 Exploration Program Dominion Creek – Gimlex Enterprises Ltd.
Quartz Exploration – Gold Run and Gulf Properties, Kestrel Gold Inc.
Quartz Exploration – Money Project, White Pine Resources Ltd.
Placer Mine – Henderson Creek – L ee Olynyk
Quartz Exploration – Flume Property, Ryan Gold Corp.
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YESAB project number
2012-0071
2012-0081
2012-0093
2012-0099
2012-0101
2012-0119
2012-0175
EDI Project #: 10-Y-0514
Project title
Quartz Exploration – QV Project, Comstock Metals Ltd.
Amendment to Class 3 Bridget Property Mining Land Use Permit #LQ00309, Ethos Capital Corporation
Placer Mine – Tributary of Indian River – Randy Carey
Quartz Exploration – Mariposa Project – Pacific Ridge Exploration Ltd.
Amendment to Class 3 Betty Property Mining Land Use Permit #LQ00316 – Ethos Capital Corp.
Quartz Exploration - Henderson
Placer Mine – Dominion Creek & Tributaries – Ross Mining Ltd.
EDI ENVIRONMENTAL DYNAMICS INC.
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Table A2
Cumulative addition of access into GMAs for each proposed project in the White Gold Assessment Area. Values represent the addition of access density (km/km2) within each GMA.
YESAB Project Number
Length access (km)
2008-0071
2008-0180
2008-0209
2009-0051
2009-0052
2009-0099
2009-0128
2009-0202
2009-0232
2009-0235
2010-0006
2010-0017
2010-0030
2010-0044
2010-0056
2010-0073
2010-0075
2010-0076
2010-0077
2010-0087
2010-0089
2010-0110
2010-0111
2010-0138
2010-0139
2010-0207
2010-0211
2010-0258
2011-0011
2011-0013
2011-0019
2011-0022
2011-0048
2011-0185
2011-0219
2011-0237
2011-0311
2011-0314
2012-0008
2012-0018
2012-0040
2012-0063
2012-0064
2012-0071
2012-0081
2012-0093
2012-0099
2012-0101
2012-0119
2012-0175
Total
0.00
0.00
5.00
0.00
0.00
0.00
10.00
NA
0.00
0.00
0.00
10.00
0.00
4.50
4.31
55.00
1.68
6.41
11.60
0.00
0.00
0.00
9.00
40.00
40.00
0.00
0.00
0.00
0.00
0.00
144.00
0.00
4.00
51.00
0.00
10.00
0.50
0.82
52.00
25.40
30.00
5.36
9.00
0.50
0.00
0.00
119.50
55.00
5.20
7.00
EDI Project #: 10-Y-0514
GMA
303
306
307
308
310
311
312
313
314
502
503
509
510
511
0.04001
0.0088
0.0153
0.0784
0.0088
0.0153
0.0036
0.0089
0.0090
0.0007
0.0044
0.0044
0.0120
0.0460
0.0020
0.0066
0.0083
0.0480
0.0480
0.0092
0.0025
0.0664
0.0340
0.0024
0.02931
0.0102
0.0004
0.0064
0.0090
0.0136
0.0008
0.0086
0.0054
0.0104
0.0156
0.0060
0.0063
0.0064
0.0052
0.0003
0.06922
0.0002
0.0037
0.0136
0.4111
0.0158
0.0051
0.0191
0.0261
0.0305
0.1484
EDI ENVIRONMENTAL DYNAMICS INC.
0.0422
0.0701
0.0049
0.0783
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APPENDIX B: GIS Methods for identifying disturbance and access in the White Gold Assessment
Area
Digitized linear and areal features were used to estimate total length and area for anthropogenic disturbance
in the project assessment area. The process involved calculating areas for both features types, given the
available data. Linear feature estimates provided the length of access by GMS. All GIS analysis was
completed using ArcView 10. Layers used include the following:
1. National Road Network (NRCan);
2. Dawson Planning Region digitized areal and linear anthropgenic features (YTG Environment);
3. In-house (EDI) digitized linear and areal features (expanded from YTG Environment);
4. Logging roads obtained from Geomatics Yukon;
5. 1:50,000 transportion data obtained from Geomatics Yukon;
6. Digitized White Gold access road (map originally supplied by YESAB).
Total Linear Anthropogenic Disturbance
Linear distances were obtained by clipping all linear features (e.g. roads) by Game Management Subzone
(GMS). All features that overlapped were selected and deleted. Once the data was considered 'clean' (i.e., no
overlapping features), distance geometry was then derived within a Yukon Albers projection system.
Total Area of Anthropogenic Disturbance
Total Linear Disturbance: To quantify an area of disturbance of linear features, we buffered linear features
based on the width category attributes in the shapefile. Linear feature width categories were narrow,
medium, and wide, and widths were conservatively assumed to be 4 m, 8 m, and 20 m, respectively. Once
buffers were applied to each layer, they were merged into one polygon and a geometric calculation was done
to derive a total linear anthropogenic area.
Total Areal Disturbance: An area calculation was applied to all polygonal features within the project
assessment area.
Total Anthropogenic Disturbance: Once all the features were created as polygons, they were brought into one
dataset. The features were then merged as one polygon and a final area calculation was done to derive the
total area of anthropogenic disturbance.
Note: This exercise did not include all existing linear/polygonal disturbance within the project assessment
area. The data provided by YG was constrained to the DLUPR, so was incomplete for the purpose of this
report. EDI expanded on the linear and areal disturbance in the focused areas only, as requested by YESAB.
Some of the imagery used to digitize features was up to 20 years old, so the resulting total area reflects a
portion of the absolute anthropogenic disturbance throughout the Dawson Planning Region and the
YESAB project assessment.
EDI Project #: 10-Y-0514
EDI ENVIRONMENTAL DYNAMICS INC.
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River access
Length of river access from navigable waterways (e.g. Yukon River and Stewart River) was obtained by
clipping the 1:50,000 waterbody layer by GMS. The waterbody polygon was converted to a polyline.
Distance geometry was derived from the boundary of the waterbody polyline.
Caribou Habitat Classification and Analysis
In 2011, Environment Yukon developed a resource selection function (RSF) to quantify the value of
Fortymile caribou herd winter habitat in the Dawson Planning Region (Barker et al. 2011). The model was
updated in 2012 and was provided to EDI for the purpose of this report. To quantify the potential loss of
habitat, we developed a habitat suitability index (HSI) on a scale of 0 to 1 from the RSF. The RSF contained
outliers on the edge of the study area and the data were very right skewed, so prior to changing the scale of
the model we clipped the edge of the data by 100 m and reduced the value of the top 5% of the data. All
model values that exceeded the 95 percentile were reduced to the value of the 95 percentile. This
transformation allows us to bin the data in a manner similar to what has been done for other caribou studies
in Yukon. We categorized habitat within the Fortymile caribou herd range as low (0–0.3), moderate (0.3–
0.7), or high (0.7–1.0).
EDI Project #: 10-Y-0514
EDI ENVIRONMENTAL DYNAMICS INC.
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