Table of Contents
1.0 Introduction. 5
1.1 Project Area. 6
1.2 Ecology. 7
2.0 Historic Fire Regimes and Stand Structure. 9
2.1 Future Fire Regimes. 18
3.0 Fire Environment 21
3.1 Fire Weather 21
3.2 Recorded Fire History. 25
3.3 Fuel Types. 27
3.3.1 Mountain Pine Beetle. 30
4.0 Fire Behaviour 34
4.1 Canadian Fire Behaviour Prediction System.. 34
4.2 Suppression Planning. 42
5.0 Fire Consequence. 44
5.1 Biodiversity Values and Stand Structure. 44
5.2 Wildland-Urban Interface. 48
5.2.1 Nelson Watershed. 48
5.2.2 Wildland Interface
Classes. 51
5.3 Probability x Consequence. 53
6.0 Fire Management Planning. 56
6.1 Watershed Post Wildfire Rehabilitation Planning. 56
6.2 Development of a Fuel Break Plan. 58
6.3 Principles of Fuel Break Design. 59
7.0 Fuel Break Design for West Arm Provincial
Park. 64
7.1 Locating the Fuel Break. 64
7.2 Synergies between Fuel Break and Biodiversity
Objectives. 65
7.3 CDC Element Occurrences. 66
7.4 Treatment Area Ecology. 67
8.0 Proposed Fuel Break Treatment Units and
Recommended Treatment Strategies for West Arm Provincial Park 69
8.1 Treatment Unit A – C3/C5 Fuel Type. 72
8.1.1 Directions to Crew.. 77
8.2 Treatment Unit B – C3 Fuel Type. 79
8.2.1 Directions to Crew.. 83
8.3 Treatment Unit C – C3 Fuel Type. 84
Treatment Unit D – O1a Fuel Type. 87
8.4 Treatment Unit E – C4 Fuel Type. 89
8.4.1 Directions to Crew.. 92
8.5 Coarse Woody Debris Management Strategies. 93
8.6 Timber Evaluation. 93
8.7 Impact Assessments. 93
8.8 Boundary Marking. 94
9.0 References. 96
Appendix 1- Fuel Type Descriptions. 100
Appendix 2 - Fire Rank. 109
List of Figures
Figure
1. Overview of West Arm Provincial Park. 6
Figure 2. Biogeoclimatic subzones and
variants in West Arm Provincial Park. 8
Figure 3. Historic natural fire regimes
within West Arm Provincial Park. 11
Figure 4. Photograph of the City of Nelson
in 1898. The mountainsides surrounding
Nelson have all been heavily impacted by logging and wildfire. 13
Figure 5. Partially consumed western
redcedar snag in West Arm Provincial Park. 14
Figure 6. Graph of the age ranges for all
nine fire scar samples collected. Two
fire dates are indicated by narrow red bars and three approximate fire
“periods” are indicated by wide shaded areas.
Species codes are as follows: LAOC = western larch, and THPL = western
redcedar. 16
Figure 7. Tree ages from core samples
collected in the Park. The two vertical,
dashed red lines correspond to fires dated 1894 and 1917, while the two shaded
areas correspond to two approximate fire “periods”. The species coding is as follows: PIMO = Pinus monticola (western white pine),
LAOC = Larix occidentalis (western
larch), PSME = Pseudotsuga menziesii (Douglas-fir),
and PICO = Pinus contorta (lodgepole
pine). 17
Figure 8. Critical life stage ages for a
number of West Kootenays tree species are graphed relative to the historic fire
interval and a potential future fire interval under a warming climate. 20
Figure 9. Seasonal variability (May-August)
in the number of Danger Class IV and V-days within the study area as described
by the regional climate of the ICHdw (1904-2003). 22
Figure 10. Seasonal variability
(May-August) in the number of Danger Class IV and V-days within the study area
as described by the regional climate of the ICHmw (1895-2003 – note missing
data 1899-1965). 22
Figure 11. Seasonal variability
(May-August) in the number of Danger Class IV and V-days in the study area as
described by the regional climate of the ESSFwc (1909-2003). 23
Figure 12.Summary of seasonal (May-August)
drought codes by year for the ICHdw (1904-2003). 23
Figure 13. Summary of seasonal (May-August)
drought codes by year for the ICHmw (1895-2003 – note missing data 1899-1965). 24
Figure 14. Summary of seasonal (May-August)
drought codes by year for the ESSFwc (1909-2003). 24
Figure 15. Fire history between 1950 and
2003 shown by cause and size in West Arm Provincial Park 26
Figure 16. Assignment of Canadian Forest
Fire Behaviour Prediction System benchmark fuel types in West Arm Provincial
Park. 29
Figure 17.
Example of fuel accumulations in an IBM infected lodgepole pine stand. 30
Figure 18. Changes in fuel loading and fire
hazard over time in IBM infected lodgepole pine. 32
Figure 19. Provincial forest health survey
from 2006 showing forest health agents in West Arm Provincial Park. 33
Figure 20. Fire intensity in West Arm
Provincial Park based on FBP97 modelling. 37
Figure 21. Rates of spread in West Arm
Provincial Park based on FBP97 modelling. 39
Figure 22. Crown fraction burned in West
Arm Provincial Park according to FBP97 modelling. 41
Figure 23. Fire suppression capabilities in
and adjacent to West Arm Provincial Park as dictated by access and topography. 43
Figure 24. Age classes in West Arm
Provincial Park. 45
Figure 25. CDC element occurrences in the
West Arm Provincial Park. 47
Figure 26. Nelson and Harrop community
watersheds in and adjacent to West Arm Provincial Park. 48
Figure 27. Slope classes in West Arm
Provincial Park. 50
Figure 28. Graphical example showing
variation in the definition of interface. 51
Figure 29. Wildland urban interface
adjacent to West Arm Provincial Park. 52
Figure 30. Structure of the Wildfire Risk
Management System. 53
Figure 31. Example of how probability x
consequence can aid in decision making. 54
Figure 32. Final probability x consequence
overlay. 55
Figure 33. Conceptual diagram of a shaded
fuel break pre treatment and post treatment. 59
Figure 34. Biogeoclimatic variants and site
series in the treatment area. 68
Figure 35.
Pre-treatment and post-treatment stand conditions for each of the
treatment units. Treatment Unit D is not shown as no structural changes will
occur in this unit. 70
Figure 36. Treatment map for West Arm
Provincial Park. 71
Figure 37. Example of C3 with redcedar in
TU-A adjacent to stream A. 73
Figure 38. Map of streams within the
proposed treatment area. 74
Figure 39. Photo of historic windthrow in
TU-A. 75
Figure 40. Photo of Treatment Unit B.. 80
Figure 41. Photo showing adjacent IBM red
attack trees. 83
Figure 42. Photo of Treatment Unit C. 85
Figure 43. Photo of Treatment Unit D. 87
Figure 44. Photo of Treatment Unit E. 90
Figure 45. Example of a high-density pole
sapling western hemlock-amabilis fir stand
– classified as a C2 fuel type. 100
Figure 46. Example of evenly stocked,
moderate density second growth stand – classified as a C3 fuel type. 101
Figure 47. Example of a moderate to
high-density second growth stand of lodgepole pine and redcedar classified as a
C4 fuel type. 102
Figure 48. Example of mature forest of
Douglas fir, western hemlock and western red cedar – classified as a C5 fuel
type 103
Figure 49. Example of a low density
Douglas-fir and lodgepole pine stand – classified as C7 fuel type. 104
Figure 50. Moist rich site dominated by
cottonwood and trembling aspen – classified as a D1 fuel type. 105
Figure 51. Mixed fir/lodgepole-pine site
with a deciduous component of aspen and paper birch – classified as an M2 fuel
type. 106
Figure 52. O1a fuel type with low herbs and
scattered fine woody debris. 107
Figure 53. O1b fuel type with shrubs. 108
List of Tables
Table
1. Summary of BEC subzones and variants in West Arm Provincial Park. 7
Table 2. The number of fires by cause and
size in West Arm Provincial Park. 25
Table 3. Summary of human and lightning
caused fires by decade in West Arm Provincial Park. 25
Table 4. Fuel type classes recognized in
West Arm Provincial Park. 27
Table 5. Fire behaviour parameters – Fire
intensity rank, rate of spread and head fire intensity (modified from Alexander
and Cole 1995). 35
Table 6. Actual measure of fire intensity
(kilowatts per metre) and equivalent rating scale used for mapping and percent
of landbase by class. 36
Table 7. Actual measure of rate of spread
(metres per minute) and equivalent rating scale used for mapping. 38
Table 8. Actual measure of crown fraction
burned (%) and equivalent rating scale used for mapping. 40
Table 9. Summary of older age classes in
West Arm Provincial Park. 44
Table 10. CDC known occurrences of
terrestrial species at risk in or adjacent to West Arm Provincial Park. 46
Table 11. Summary of slopes by class within
Nelson Community Watersheds that intersect West Arm Provincial Park. 49
Table 12. Descriptions of interface density
classes. 51
Table 13. Flame lengths associated with
critical levels of fireline intensity that are associated with initiating crown
fire, using Byram's (1959) equation. 60
Table 14. Windthrow hazard assessment of
Unit A. 76
Table 15. Windthrow hazard assessment for
unit B. 82
Table 16. Windthrow hazard assessment for
Treatment Unit E. 91
Table 17. Summary of impacts associated
with Park values. 93
Table 18. Key to field marking. 95
The firestorm of 2003 has increased community
awareness of the dangers of forest fires within the wildland urban interface.
The interface fires that year demonstrated the vulnerability of homes
immediately adjacent to the forest. While the probability of fire within West Arm Provincial Park,
hereafter referred to as the ‘Park’, is not as high as that for Okanagan Mountain Provincial Park, there is
risk to the community associated with a large interface fire. BC Parks is
actively engaged in developing strategies to manage and mitigate this fire
risk.
As part of the strategic planning currently
underway, B.A. Blackwell and Associates Ltd. were retained by BC Parks to identify
a Wildland Urban Interface zone associated with the community of Nelson in West
Arm Provincial Park and carry out fuel hazard assessments of this zone and prepare
fuel mitigation prescriptions where required. This work has included determination
of fire behaviour potential, values at risk, and suppression capability in the
Park as well as in the adjacent communities of Nelson and Harrop Proctor. Following
the preliminary risk assessment phase, the planning effort has been focused on
the design and engineering of a strategic fuel treatment in an area of the Park
that will provide fire suppression personnel with an effective anchor to
marshal resources, conduct a back burn and/or mobilize equipment in the Park.
Integrating suppression planning with
ecological and recreation values is key to the development of an effective fuel
reduction prescription for a Park. There are many considerations in designing
effective fuel treatments to protect the ecological and recreational values
present in the Park. During the development of this plan, forest health, access,
treatment impacts, fire history, natural disturbance regimes and ecology were
considered in respect to protecting the adjacent communities and the community watershed in the Park. Properly
designed and implemented, fuel treatments can complement ecosystem restoration goals by
reintroducing disturbance which emulates the results of historic natural
disturbances.
To undertake this project we utilized
methods and data developed as part of a Provincial Fire Risk Assessment
project, undertaken in 2004, on behalf of the Union of B.C. Municipalities and
the Ministry of Forests and Range Protection Branch. The data were updated to
incorporate more specific fuel typing of the Park based upon data collected in
the field. The Provincial fuel typing was also revised to address differences
in the composition and structure of forests not well represented within the
Canadian Forest Fire Behaviour Prediction System (CFFBPS). These
adjusted fuel types were used in modelling fire behaviour in the Park to aid in
determining appropriate fuel break locations and treatment prescriptions.
The results of this project provide a
strategic level analysis that will assist in the development of comprehensive interface
management plan and emergency response plans for the Park which may be required
in the event of a large wildfire.
West Arm Provincial Park encompasses 25,319 ha. Its south western boundary abuts the north
eastern municipal boundary of Nelson. The Park extends north along the shore of
Kootenay Lake to Harrop and reaches south close to Whitewater Winter Resort (Figure 1). The Park encompasses a range of habitats, from
lakeshore to alpine. It plays an important role in representing the Southern Columbia Mountains (SCM) Ecosection and
includes the Interior Cedar Hemlock and Engelmann Spruce-Subalpine Fir Biogeoclimatic
zones. To ensure that relevant data adjacent to the Park was considered in
planning, a 2 km wide buffer was created around the Park.

Figure 1. Overview of West Arm Provincial Park.
Access to the Park is quite limited. Whitewater
Winter Resort provides some hiking and ski touring access. The foreshore is
primarily boat accessible where stream fans exist. Three gravel roads provide
limited access including: Svoboda Road that runs up Five Mile Creek; a 1.4 km
road to Goddard Hill from Harrop; and a forest service road to the confluence
of Midge and Ketetl Creek. There are also several major trails including one
that runs along Lasca Creek and another along the water pipeline that extends
to the City of Nelson.
Recreation use in the Park includes mountain
biking, hiking, back-country skiing, hunting, wildlife viewing as well as water
activities along the lake shore such as boating, fishing and swimming. Most
activity occurs on the lower slopes adjacent to Nelson
The Park also contains the community
watersheds which supply drinking water to the City of Nelson. The
watershed is important in maintaining the hydrological functions that determine
water quality, quantity and timing of flows.
There are several known First Nations archaeological
sites in the Park. Most sites are located along the foreshore, but only the area
within 750 m of Kootenay Lake has been surveyed according to the Park Management Plan (MELP 2000).
There are also archaeological sites related to European settlement, found
primarily along the foreshore. An Archaeological Overview Assessment was done
for the park in 2006, which identified probable areas of importance for First Nations.
The Park is located in the Interior Cedar
Hemlock (ICH) and Engelmann Spruce Subalpine Fir (ESSF) biogeoclimatic subzones
(Braumandl and Curran 1992). Within these zones are: Interior Cedar Hemlock dry
warm (ICHdw1); Interior Cedar Hemlock moist warm (ICHmw4); and 4 variants of
Engelmann Spruce Subalpine Fir wet cool (ESSFwc) (5, 6, wcp, wcw). Table 1 summarizes the areas for each variant.
Table
1. Summary of BEC subzones and variants in West Arm Provincial Park.
|
Biogeoclimatic Subzone and Variant
|
Area
(ha)
|
|
ESSFwc
5
|
3557
|
|
ESSFwc
6
|
10306
|
|
ESSFwcp
|
784
|
|
ESSFwcw
|
4682
|
|
ICH dw 1
|
2593
|
|
ICH mw 4
|
3166
|
Climate in the ICHdw1 and mw4 has hot to
very hot moist summers, very mild winters with little snowfall and shallow snow
packs. No data exists for the ESSF subzones in the Braumandl and Curran field
guide to site identification (1992).
As no variant data exists for the ICHmw4,
the grid for the ICHmw2 was used for all site series related interpretations
(pers. comm. Regional Ecologist).

Figure
2. Biogeoclimatic subzones
and variants in West Arm Provincial Park.
To date there have been no empirically-based fire regime and forest
structure studies conducted in and adjacent to West Arm Provincial Park. The
current understanding of historic fire regimes has come from an interpretation
of disturbance dynamics as they relate to the biogeoclimatic classification system. The Biodiversity
Guidebook (Ministry of Environment and Ministry of Forests 1995) describes
disturbance agents and their effects on ecosystem structure by
biogeoclimatic subzone and variant and uses a numerical classification system of Natural Disturbance Types. The
predominant disturbance agent in the classification system is fire, although other
critical disturbance agents are factored into the system. Ecosystems with historically
frequent fire regimes are classified as NDT4, while ecosystems with increasingly long
fire intervals are classified as either NDT3 or NDT2. Using this classification
system, Holt and Machmer
(2005) suggest that the Park’s ecosystems be classified as
either NDT3 or NDT2. The ICHmw4, ESSFwc5, and ESSFwc6 variants are all
classified as NDT2 – very infrequent, stand-replacing disturbance events (Figure 2).
The mid-elevation ICHmw2 and ESSFwc4 variants are classified as
NDT2, but are considered to vary in historic frequency by site. Warm aspects
and dry sites are thought to be characterized by a fire frequency of 100 years,
while adjacent cool aspects and cool sites are thought have frequencies in
excess of 500 years (Holt and Machmer 2005). Lower elevation ecosystems in the Park are
classified as NDT3, which is characterized by stand-replacing disturbance
events with a frequency of 150-200 years. This classification would apply to
the ICHdw subzone. Holt and Machmer (2005) suggest that warmer, westerly and south-westerly
aspects likely include a mixed-severity fire regime with a frequency range of
30-100 years.
These long fire intervals suggest that the natural disturbance
regime in the Park is likely dominated by moderate to long intervals of low
intensity gap-replacement stand dynamics attributable to agents such as
insects, fungi, and wind that operate on a continual basis. These dynamics
would be interrupted by infrequent stand-replacing disturbances such as
wildfires of various sizes, outbreaks of bark beetles, defoliating insects, and
root diseases (Holt and Machmer 2005). Stand structure under this natural
disturbance regime would include areas of even-aged forest where shorter
interval, stand-replacing fires are common, and structurally-complex forest
where very long fire intervals prevail. There is enough evidence, however, to suggest
that another interpretation of fire history and historic forest structure is
possible. The interpretations of Holt and Machmer (2005) are based entirely on
the Biodiversity Guidebook plus local opinion. The Biodiversity Guidebook
natural disturbance classifications are not based on empirical data in most
cases, but on professional judgment. However, determining the historic
disturbance regimes and resultant forest structures in West Arm Provincial Park is complicated by the
large-scale fires that occurred in the late 1800’s and early 1900’s.
A number of lines of evidence are available that can be used to gain
a more accurate picture of the fire ecology history of West Arm Provincial Park, including: age structure
data, point-source fire chronologies, historic photographs, empirical data from
adjacent sites, and predictive models. In 2003 a predictive model of Historic Natural Fire Regimes (HNFR)
was developed by Blackwell et al. for the southern third of the province,
including West Arm Provincial Park (Figure 3). This model incorporated up to date empirical
historic fire regime data from BC, AB, and the adjacent United States, terrain factors affecting
fire behaviour, and professional judgment. Another significant difference of
the model is the recognition and delineation of mixed-severity fire regimes. The
model resulted in 10 potential fire regimes which replace 4 natural disturbance
types. For West Arm Provincial Park the primary difference is
the parsing of the landscape into 5 fire regimes, shown in Figure 3, instead of 2 natural disturbance types.

Figure 3. Historic natural fire regimes within West Arm Provincial Park.
Using the HNFR model, the lower slopes of the Park are characterized
by frequent mixed-severity fire. These areas are comprised of Douglas-fir,
ponderosa pine, western larch, lodgepole pine, western white pine, western
redcedar, western hemlock, and grand fir. A number of deciduous species can
also be found here. This area is characterized as high frequency due to the
regional climate being conducive to fire start and spread. The mixed-severity
characterization comes from the greater fire intensity associated with higher
between-fire fuel loads on productive sites in the west Kootenays, and the high number of
fire-intolerant species.
Progressing upslope, fire frequency diminishes leading to greater
between-fire fuel accumulations and greater fire severity. Fire intensity is
also affected by increasing slope angle and slope uniformity. With increasing
elevation comes decreasing fire tolerance, and higher general fire
vulnerability due to slower growth rates (shorter trees with small diameters).
The complex terrain of West Arm Provincial Park aids in fire regime
heterogeneity. Under this model the maximum fire-free interval would be in the
150-200 year range, not the 500 year figure as suggested by the Biodiversity
Guidebook and Holt and Machmer (2005). The higher frequency is the result of a
number of factors including: the proximity of the Park to higher frequency fire
regimes, the lack of significant barriers to fire spread both within and
outside the Park, the latitude of the Park, and the lack of terrain features
that would ameliorate local fuel characteristics.
This picture of historic fire regimes and forest structure in West Arm Provincial Park is still a predictive
model, not unlike the model of NDT’s proposed in the Biodiversity Guidebook. It
does, however, include the interpretation of empirical studies from adjacent
areas. An example of this is the small fire history analysis conducted by Quesnel and
Pinnell (2000) for the West Arm Demonstration Forest immediately across the
lake from West Arm Provincial Park. The authors found a very
frequent fire regime that maintained open forests comprising ponderosa pine and
Douglas-fir. However, because fire has been absent on this site for the past 100
to 120 years, forest density has increased with much of the density comprised
of fire-intolerant grand fir, lodgepole pine, and western redcedar. While the
study conducted by Quesnel and Pinnell (2000) describes conditions on a warm
aspect, these conditions should also apply to the cool aspect across the lake
in the Park due to proximity. This would suggest that the NDT designation proposed
by Holt and Machmer (2005) is too conservative regarding fire frequency. The
study results obtained by Quesnel and Pinnell (2000) were used in the
development of the HNFR predictive model.
Gaining an understanding of historic fire regimes and forest
structure is best accomplished using solid empirical data derived through
disturbance chronologies. Disturbance chronologies document historical
disturbance frequency and severity via fire scar interpretation and cross
dating (Dietrich and Swetnam 1984, Agee 1993). However, as a stand-alone
analytical tool, they often yield only crude inferences about associated
vegetation community structure (Hessburg et al. 1999). Historic stand
reconstructions, through tree ring and cohort analysis and stem mapping (Habeck
1990, Covington and Moore 1994, Arno et al. 1995), provide spatially and
temporally precise information about composition
and structure (Hessburg et al. 1999).
Both fire scar analysis and tree ring and cohort
analysis were applied to West Arm Provincial Park in the fall of 2007.
However, fires that occurred near the turn-of-the-century as well as the preceding
timber harvest, made the collection of disturbance and forest structure
evidence difficult. Although several wildfires burned through West Arm Provincial Park in the late 1890’s and
early 1900’s, exact dates have not yet been established. Early photographs and
oral histories point to a probable fire in 1896 and a number of subsequent
fires in 1911 (www.city.nelson.bc.ca/html/founding.html). From a landscape
perspective, the result was heavily denuded hill slopes (Figure 4).
Multiple disturbance events such as wildfires create problems in
terms of collecting disturbance chronology data. A single fire would have resulted
in large numbers of dead trees, live trees with scars, and patches of live
trees which would all have provided empirical data that would enable
researchers to reconstruct past processes and patterns. However, the reburn of
the initial burned areas would have killed and consumed large areas of the
remaining live and dead trees, leaving little evidence of conditions that
prevailed prior to the mid- to late-1800’s.

Figure 4. Photograph of the City of Nelson in 1898. The mountainsides
surrounding Nelson have all been heavily impacted by logging and wildfire.
In the fall of 2007 we collected a number of increment cores, fire
scar samples, and cross-sections in order to develop a number of lines of
evidence that will enable us to piece together historic disturbance and forest
structure. A total of 38 cores were collected from western white pine (1),
lodgepole pine (12), western redcedar (3), western larch (10), and Douglas-fir
(12). We targeted large diameter trees with structural elements consistent with
older trees. These included bark char, large limbs, extensive clear bole, flat
or broken top, and flat, platy bark on western larch. Most cores were collected
from shade-intolerant tree species. The age of these trees suggests that they
germinated following a disturbance that created growing space, and/or a bare
mineral soil germinating substrate (western larch). The western redcedar cores
were collected from snags. All other cores were from live trees.
One of our potential lines of evidence is cohort establishment.
Species such as western larch require very open canopies for growth and a bare
mineral soil seedbed. The same is true for western white pine. Douglas-fir and
lodgepole pine are less dependent on a bare mineral soil seedbed and, to a
certain extent, are more tolerant of shade.
In addition to the cores, we collected 6 western larch
cross-sections, 2 western larch fire scar samples, and 3 western redcedar fire
scar samples. All of these samples were from dead trees. The western larch
cross-sections are intended for fire-origin cohort analysis, while the western larch
fire scar samples, each exhibiting two scars, are intended to provide solid
dates for the turn-of-the-century fires. The western redcedar snags are unique
in that they exhibit scars from three fire events, two of which we hope to
establish dates for (Figure
5). Each scar sample indicates the occurrence of a
low-intensity fire that scarred the tree but did not kill it. Based on the outside
ring date, the scars also suggest the incidence of a fire that killed the tree.
A third fire or fires began the decomposition process by partially consuming
the snags (live trees killed by fire are typically charred but do not exhibit
bole consumption).

Figure 5. Partially consumed western redcedar snag in West Arm Provincial Park.
We were able to successfully cross-date five of the western
redcedar samples and four of the western larch samples, although in many cases
the dates are approximated due to low correlations (Figure 6). The samples
were assessed against both a western larch and Douglas-fir regional chronology
with many samples sharing a higher correlation with larch than Douglas-fir. No western redcedar chronologies exist for
this area. As part of this project we
did not have the time or budget to develop a local ring-width chronology. Future work in the West Arm Provincial Park should include the
development of multi-species chronologies. Of the four larch samples, one sample
contained two fire scars dated 1894 and 1917.
This sample came from the steep northeast aspect overlooking Five Mile
Creek at the far eastern end of the treatment unit boundary. The remaining larch and redcedar samples came
from within the large lodgepole pine type in the center of the treatment
unit. The remaining three larch samples
provided pith dates that we suspect correspond to wildfires.
The ages of the nine fire scar samples are highly variable with the
western redcedar samples ranging in age from 150 to over 200 years. Several samples, SC4-THPL and UNK-THPL, are estimated to have
germinated in the early 1600’s and died in the mid-1800’s. Two other redcedar likely germinated in the
late 1600’s and died in the late 1800’s.
Most of the larches are considerably younger than the redcedar at 100 to
150 years, except for sample SC7-LAOC which is estimated at
over 200 years of age. The five redcedar
samples were charred while none of the larch samples exhibited charring. We have high confidence in two fire dates
from a western larch; 1894 and 1917.
These are represented in Figure
6 by the narrow vertical bars. Three other fire “periods” are indicated by
wide shaded areas. These are 1620 to
1655, 1775 to 1805, and 1835 to 1860. A
number of lines of evidence converge within each of these “periods” to suggest
that a wildfire occurred. Within the
period 1620 to 1655 we have three of our nine samples germinating. Western larch is highly reliant on a bare
mineral soil seedbed and lots of light for germination and growth. Western redcedar, on the other hand, is shade-tolerant and is not as
reliant on a bare mineral soil substrate for germination. Western redcedar does, however, germinate
better on bare soil than on duff (Edwards and Leadom 1988). The second period,
1775 to 1805, corresponds to approximate germination dates for two larch and
one redcedar. Four fire dates from scars
on redcedar and larch also fall within this period. The last period, 1835 to 1860, corresponds to
two fire scars recorded on western redcedar plus approximate death dates for
all five redcedar sampled.






Figure 6. Graph
of the age ranges for all nine fire scar samples collected. Two fire dates are indicated by narrow red
bars and three approximate fire “periods” are indicated by wide shaded
areas. Species codes are as follows:
LAOC = western larch, and THPL = western redcedar.
Thirty-nine increment cores were
collected in the Five Mile Creek area in an attempt to determine estimates of
cohort ages and to possibly identify a number of disturbance dates (Figure X). Two distinct stand types were sampled: a
mesic area containing Douglas-fir, western redcedar,
western larch, trembling aspen, western hemlock, grand fir, western white pine,
paper birch, and lodgepole pine; and, a drier site containing predominantly
lodgepole pine with scattered western larch and Douglas-fir. The mesic site is on the west end of the
treatment area, while the dry lodgepole pine-dominated stand type
occupies the eastern three quarters of the area. One core was from western white pine, ten of
the cores were from western larch, twelve cores were from Douglas-fir, and ten were from
lodgepole pine. Core samples PIMO-1, LAOC-1 through 6, and all 12
PSME samples were collected in the mesic stand type. All remaining core samples, including all PICO samples, were collected in
the dry lodgepole pine stand type. An
additional six cores were from western redcedar snags. All trees were cored at DBH and ages
indicated in Figure 6 are not corrected to germination date.
Two fire dates and two fire “periods” are superimposed on the core
age data in Figure 7. The 1894 fire
appears to correlate well with the germination of 58% of the trees
sampled. This includes all of the
lodgepole pine sampled, the one western white pine, five of the ten western
larch, and three of the twelve Douglas-fir. This fire also shows up on a number of older
Douglas-fir and western larch cores
as injuries. The fire appears to have
influenced stand dynamics on both the mesic and dry stand types. The 1917 fire, on the other hand, does not appear
to have influenced stand dynamics on either site. There are no cohorts associated with it, the
trees sampled did not contain any external evidence of it in the form of a
catface, and it does not show up as an injury on the cores. This would suggest that the fire that scared
the recorder tree did not spread to the treatment area (this snag was located
in the Five Mile Creek draw just to the east of the treatment area).
Two fire “periods” also appear to have influenced stand dynamics
over time, the earlier 1775 to 1805 period especially. Cohorts of both western larch and Douglas-fir appear to have been
established shortly after each event.
Western larch and Douglas-fir both germinate and grow
well following disturbances that create a bare mineral soil seedbed and that reduce
competition for light.





Figure 7. Tree
ages from core samples collected in the Park.
The two vertical, dashed red lines correspond to fires dated 1894 and
1917, while the two shaded areas correspond to two approximate fire “periods”. The species coding is as follows: PIMO = Pinus monticola (western white pine),
LAOC = Larix occidentalis (western
larch), PSME = Pseudotsuga menziesii (Douglas-fir), and PICO = Pinus
contorta (lodgepole pine).
The combination of age data and fire scar data provides clues to the
historic fire regime, but not a clear picture of it. The two fires dated 1894 and 1917 were likely
human-caused and likely burned
through an abnormal fuel complex of timber harvest slash. Extensive harvest in the late 1800’s was
associated with railroad and mining needs – material for rails and
timbers. One of these fires, the 1894
fire, resulted in much of the young cohort seen in the forests immediately
adjacent to Nelson today, including the large proportion of lodgepole pine
being attacked by the mountain pine beetle.
The three fire “periods” indicated in Figure
6 and Figure
7, suggest that historically, fires were not uncommon
in this area of the Park, occurring on average every 60 to 150 years. Some were high-severity, creating good
germination and growth conditions for Douglas-fir, western larch, and
western redcedar, and some were low-severity, scarring but not
killing western redcedar. With this relatively
frequent, mixed-severity fire regime, fire-tolerant species would be favoured
over intolerant species and those requiring longer periods of time to reach
reproductive age or for the site to develop special germination
conditions. These conditions, and
species assemblages, were likely present on the landscape but were fluid in
space and time. The former list of
species includes western larch, Douglas-fir, trembling aspen, paper
birch, and lodgepole pine. The latter
list includes western redcedar, western hemlock, western white pine, grand fir,
and Engelmann spruce.
Climate (temperature, precipitation, and topography) combines with
other variables to influence the vegetation that can grow in a given place. It
also influences the timing, severity, and extent of fires (the natural fire
regime) (Wells 2007). As climate changes, species growth, regeneration, and
dominance will shift. For example, in
much of the Pacific Northwest, lodgepole pine shares
dominance with Douglas-fir at low/mid elevations
and with subalpine fir at higher elevations.
At low elevations, warmer, drier summers may translate into more favourable
growing conditions for lodgepole pine than Douglas-fir (Hermann and Lavender
1990, Case and Peterson 2005), and at higher elevations increased temperatures
and reduced snowpack may favour subalpine fir growth and regeneration. Climate warming is expected to increase the
frequency of fires (decrease the fire return interval or fire interval)
(Running 2006, Swetnam and Westerling 2007, Westerling et al. 2006).
“The effects of warming are not smooth or steady, but discontinuous
in space and time. In general, the
places and times that were coolest to start with have warmed the most;
nighttime low temperatures, winter temperatures, and temperatures at high
latitudes and high altitudes. Not only rising mean temperatures are of concern,
but also an increase in the variability of the climate that might lead to more
extreme weather events (Wells 2007).”
Of particular concern to fire scientists is the potential confluence
of warming temperatures, high fuel loads, and impending drought in some
areas. Some of these scientists predict
that the area burned in wildfires will double or even triple over the next 50
years (Bartuska 2007, Wells 2007). High
fuel loads are problematic in the Park where recent disturbances have resulted
in large-scale tree mortality. The 2003 Ketutl Fire was not salvage logged,
meaning all dead trees will eventually fall creating high fuel loads. The ongoing mountain pine beetle epidemic is
also resulting in unnaturally high fuel loads.
A reburn of the Ketutl Fire area or an initial burn through the beetle
affected areas could result in significant damage to soil productivity and
local hydrology.
One scenario linked to warming climate in the West Kootenays involves the distribution
and productivity of lodgepole pine, and its consequences on other native
species. The effect of a warmer climate
on disturbances may have a greater affect on lodgepole pine distribution and
productivity than direct climatic impacts on tree growth. Warmer, drier summers will increase the
likelihood of fires (McKenzie et al. 2004), which could lead to changes in the
distribution and abundance of plant species.
While lodgepole pine is relatively intolerant to intense fires,
regeneration immediately following fire is typically dominated by lodgepole
pine because it can disperse large quantities of seeds from nearby trees and
often has serotinous cones that open due to heating from fire (Lotan and Perry
1983). Warmer, drier summers may also
lead to increased outbreaks of insects such as the mountain pine beetle (Logan
and Powell 2001). Because it is likely that the current trend of warming
temperatures will continue into the future (IPCC 2001), many Pacific Northwest forested ecosystems, especially drier systems, may experience
reduced soil moisture, increased water stress and altered disturbance
regimes. Extended summer drought over
decades could significantly affect which tree species are the most productive
and abundant (Case and Peterson 2007).
Potential future forest succession dynamics in the West Kootenays under a warming
climate/increased disturbance scenario is graphically represented in Figure 8. Vital
attributes theory postulates that a small number of life history attributes
termed “vital attributes”, can help us predict the behaviour of plants in
disturbed environments (Roberts 1999).
Vital attributes pertain to the potentially dominant species in a
particular community. Three main groups of vital attributes are recognized
relating to the method of persistence of species during a disturbance, and to
their subsequent arrival, to their ability to establish and grow to maturity
following the disturbance, and to the time taken for them to reach critical
stages in their life history (Noble and Slatyer 1980). In Figure 8, most dominant tree species would be able to persist
on site with a historically median fire interval of 100 years. Some would be able to survive a disturbance,
take advantage of less competitive germination and growing conditions, and
start to produce large quantities of viable seed at a young age. This would certainly be the case for Douglas-fir, lodgepole pine,
trembling aspen, western larch, and paper birch. Other species would be more disadvantaged by
being killed by the disturbance, and having to seed in from outside the burn
area. Species such as western hemlock,
western redcedar, Engelmann spruce, subalpine fir, and grand fir, would also
grow slower and take longer to produce large quantities of viable seed. Even with these disadvantages a historic fire
interval of 100 years would still enable them to persist on the site.

Figure 8. Critical
life stage ages for a number of West Kootenays tree species are graphed relative to the
historic fire interval and a potential future fire interval under a warming
climate.
Under a warming climate scenario, and a significant decrease in the
fire interval, a large number of tree species would potentially be displaced by
species more adapted to a higher frequency of disturbance. The vital attributes of Douglas-fir, western larch,
trembling aspen, paper birch, and lodgepole pine would leave these species more
adapted to an increased disturbance frequency scenario. Lodgepole pine, with its habit of producing
large quantities of viable seed at a very young age, and sealed in serotinous
cones, could dramatically increase its distribution and stand proportion under
this scenario.
The fire environment is described in the
following section and includes fire weather, fire causes and frequency, and
fuels and forest health factors which are currently influencing fuel types in
and adjacent to the Park.
The Canadian Forest Fire Danger Rating System (CFFDRS), developed
by the Canadian Forestry Service, is used to assess fire danger and potential
fire behaviour. The Ministry of Forests and Range (MOFR) maintains a network of
fire weather stations during the fire season that is used to determine fire
danger on forestlands within the community. The information is commonly
used by municipalities and regional districts to monitor fire weather information provided by
the MOFR Protection Branch to determine hazard ratings and associated fire bans
and closures within their respective municipalities. Key fire weather
parameters summarized as part of the analysis included:
·
Drought Code: The Drought Code
represents the moisture in deep, compact organic matter with a nominal depth of
about 18 cm and a dry fuel load of 25 kg/m2. It is a measure of
long-term drought as it relates to fire behaviour.
·
Days above Danger Class Rating
IV and V: The Danger Class Rating is derived from fire weather indices and has
5 classes: 1) Very Low Danger; 2) Low Danger; 3) Moderate Danger; 4) High
Danger; and 5) Extreme Danger.
It is important to understand the
likelihood of exposure to periods of high fire danger, defined as Danger Class
IV (high) and V (extreme), in order to determine appropriate prevention
programs, levels of response, and management strategies.
Fire danger within the study area can vary
significantly from season to season. Figure
9, Figure
10 and Figure
11 are compilations of available weather station data,
dating back to the early 1900’s, within the ICHdw, ICHmw, and ESSFwc
biogeoclimatic units (representative of the study area). The Figures provide a
summary of the total number of Danger Class IV and V-days from May through to
August of each year and show that fire danger can fluctuate substantially
between years. On average, the number of Danger Class V-days within the ICHdw,
ICHmw, and ESSFwc over the most recent 30 year period in the data is
respectively 17, 12, and 6 per year. The decrease can be explained by the
increasing elevation boundaries for these ecosystems. Typically, the
most extreme fire weather occurs between late July and the third week of
August.

Figure
9. Seasonal variability
(May-August) in the number of Danger Class IV and V-days within the study area as
described by the regional climate of the ICHdw (1904-2003).

Figure
10. Seasonal variability
(May-August) in the number of Danger Class IV and V-days within the study area as
described by the regional climate of the ICHmw (1895-2003 – note missing data
1899-1965).

Figure
11. Seasonal variability
(May-August) in the number of Danger Class IV and V-days in the study area as
described by the regional climate of the ESSFwc (1909-2003).
A summary of historic
drought codes provides a similar comparison (Figure
12, Figure
13, and Figure
14). A drought code that exceeds 350 is considered high
and is associated with high fire behaviour. A drought code exceeding 500 is
considered extreme. Based on annual averages, drought code values commonly
exceed 350 in the ICHdw, while drought code values in the ICHmw infrequently
surpass 350 and very seldom surpass 350 in the ESSFwc. A comparison of monthly,
rather than seasonal, values reveals that the low values in May and June reduce
the seasonal average. During the months of July and August, values commonly
exceed 500.

Figure 12.Summary of seasonal (May-August) drought codes by year for the
ICHdw (1904-2003).

Figure 13. Summary of seasonal (May-August) drought codes by year for the ICHmw (1895-2003 – note
missing data 1899-1965).

Figure
14. Summary of seasonal (May-August) drought codes by year for the ESSFwc (1909-2003).
Recent fire history, between 1950 and 2003,
in the Park is dominated by lightning caused fires (Table 2). No human caused fire was over 4 ha in size, while
the largest lightning caused fire was in 2003 and consumed 7916 ha of forest. A
marked decline in human caused fires has occurred over the last 3 decades (Table 3).
Table
2. The number of fires by
cause and size in West Arm Provincial Park.
|
Cause
|
Fire
Size <=4 ha
|
Fire
Size > 4 ha
|
Summary
|
|
Area
|
Number
of Fires
|
Area
|
Number
of Fires
|
Total
Fires
|
Total Area
|
|
Campfire
|
0.5
|
5
|
|
|
5
|
0.5
|
|
Equipment
use
|
0.3
|
2
|
|
|
2
|
0.3
|
|
Fire
use
|
2.1
|
7
|
|
|
7
|
2.1
|
|
Miscellaneous
|
2.7
|
7
|
|
|
7
|
2.7
|
|
Railroads
|
0.1
|
1
|
|
|
1
|
0.1
|
|
Smoker
|
0.9
|
8
|
|
|
8
|
0.9
|
|