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cariboO-chilcotin Ecosystem restoration Grassland Benchmark Submitted by: B.A. Blackwell and Associates Ltd. V7J 3B5 In Association With R.W. Gray Consulting Ltd, Iverson and MacKenzie Biological Consulting Ltd., F.M. Steele, and O.A. Steen Consulting Submitted to: Cariboo-Chilcotin Grassland Strategy Committee November 2007 |
Cariboo-Chilcotin
Grassland Restoration Plan
Prepared By
F.M. Steele[1],
K.L. MacKenzie[2],
O.A. Steen[3],
B.A. Blackwell[4], and
A. Needoba4, and R.W. Gray[5]
Executive Summary
This study area historically encompassed arid grasslands and open range. Open grassland is defined as having less than 15% tree cover. Within the study area, forest encroachment onto arid grasslands and open range has altered the biophysical properties of the area. Changes that occur because of forest encroachment on grasslands include increased shading and reduced vigour and abundance of understory grassland species.
The main purpose of
the Project is to develop a high level plan that will facilitate the
restoration of open-grassland habitat for
Acknowledgements
Jennifer Bowman and Ryan Holmes (Ministry of Agriculture and Lands), and Chris Easthope (Ministry of Forests and Range) provided spatial data and/or helpful information. Chris Ames, Wendy Hayes-van Vliet, and Cathy Mumford (Ministry of Forests and Range) provided ranching and grazing related information. Graham MacGregor (Grassland Conservation Council of BC) provided suggestions of data sources. Fred Knezevich and Ross Fredell (retired MOFR range agrologists) provided historical information and recommendations relating to important range area. Avram Sandor and Ben Andrew (B.A. Blackwell & Associates Ltd.) and Claire Tweeddale (Forest Ecosystem Solutions Ltd.) assisted with the GIS exercise. Roger Packham (Ministry of Environment) initiated and administered the restoration plan on behalf of the Cariboo-Chilcotin Grasslands Strategy Committee. Funding for the development of the restoration plan was from the British Columbia Habitat Conservation Trust Fund and the Ministry of Forests and Range.
Table of Contents
1.1 Purpose
and Need for Ecosystem Restoration
3.1.1 Defining
Encroached Areas
3.1.2 Treatment
Prioritization Framework
3.1.3 Final
Treatment Prioritization
4.1.2 Forested
Polygons within Grassland Benchmark
4.1.3 Prediction
of Recent Encroachment
4.4 Overall
Benefit and Cost of Treatment Results
5.1 Strategy
for Effectiveness/Implementation Monitoring
5.1.1 Effectiveness
monitoring
5.2 General
Recommendations and Knowledge Gaps Requiring Additional Study
5.2.1 Grassland
Restoration Steering Committee and Treatment Database
5.2.3 Forage
Production and Utilization
5.3 Recommendations
specific to the CCGS and MPCBS publications
5.3.1 Cariboo-Chilcotin
Grassland Strategy (CCGS)
5.3.2 Management
Plan for California Bighorn Sheep in the Fraser River Basin (MPCBS)
7.0 Appendix
I. Historic Natural Fire Regime
8.0 Appendix
II. Condition Class
The area of
Cariboo-Chilcotin grassland benchmark has been decreasing over the past several
decades due to ingrowth and encroachment of conifer species. These grasslands
are characterized as Natural Disturbance Type 4 (NDT4) ecosystems, which
consist of dry, low-elevation open forests and grasslands. NDT4 ecosystems
experience a disturbance regime of frequent, stand maintaining fires. Current
and past management practices have resulted in many hectares of the NDT4
ecosystems type being affected by encroachment and in-growth. Decades of fire
suppression have interrupted the historic cycle of wildfires that previously
held tree densities at low levels and maintained the quality and quantity of
available forage. This phenomenon has wide ranging biological, social, and
economic consequences that will continue to worsen unless effective grassland
restoration measures are undertaken.
The purpose of this
Project is to develop a high level plan that will facilitate the restoration of
open-grassland habitat for
The objective of the
Cariboo-Chilcotin Grassland Restoration Plan project is twofold:
1) to evaluate forage
production/grazing values, public safety concerns (fire risk) and biodiversity
values, and cost of restoration treatments, and;
2) to develop a
restoration plan that: a) identifies priority areas for treatment and
recommends appropriate restoration activities in those areas; b) identifies
knowledge gaps to be filled; c) develops strategies for implementation and
effectiveness monitoring, and; d) complements the Cariboo-Chilcotin Grassland
Strategy (CCGS) and Management Plan for California Bighorn Sheep in the Fraser
River Basin (MPCBS) by addressing recommendations in both reports.
The
study area is 5.4 million ha and includes the entire grassland benchmark
(265,315 ha). The benchmark falls within Region 5 (Cariboo) and Region 3
(Thompson Nicola) and seven Forest Districts: Quesnel, Vanderhoof, Chilcotin,

Figure 1. Extent of study area.
Sixty-two percent
(165,614 ha) of the grassland benchmark is within provincial land (Table
1). Just over one third (86,321 ha) of
the benchmark is privately owned, while the remaining 5% is federally owned.
Within the benchmark 11,438 ha (4%) falls in private grazing leases.
Table 1. Land ownership within the grassland benchmark.
|
Owner |
Area
(ha) |
Relative
Percent of grassland benchmark |
|
Provincial |
165,614 |
62% |
|
Private |
86,321 |
33% |
|
Federal |
13,374 |
5% |
|
No
data |
6 |
<1% |
|
Total |
265,315 |
100% |
The loss of open
grassland to forest encroachment in the Cariboo-Chilcotin has been rapid in the
last century. Between 1962 and 1993/95, the extent of open grassland (< 5%
tree cover) within a 30,000 ha area (Becher’s Prairie/Bald Mountain) west of
Widespread tree
encroachment on grasslands has also been documented in other regions of British
Columbia (Gayton 1997; Taylor and Baxter 1998; Turner and Krannitz 2000, 2001;
Rocky Mountain Trench Ecos
Causes of forest
encroachment in British Columbia and other areas has been ascribed primarily to
cessation of fires in grasslands and dry forests following European settlement
(Parminter 1978, Strang and Parminter 1980, Mast et al. 1997, Taylor and Baxter
1998, Parminter and Daigle 1999, Kirby and Campbell 1999, Miller and Rose 1999,
Rocky Mt. Trench Ecosystem Restoration Steering Committee 2000, Turner and
Krannitz 2000, 2001, Grassland Strategy Working Group 2001, Tremblay and Dibb
2004) but also to livestock grazing that reduces grass competition and fuel for
fire (Sindelar 1971, Parminter 1980, Strang and Parminter 1980, Hansen et al.
1995, Mast et al. 1997), and climatic patterns (moist years following drought
years) (Sindelar 1971, Parminter 1978, Hansen et al. 1995, Mast et al. 1997).
The loss of grasslands
due to forest encroachment is of large concern in the Cariboo-Chilcotin region
due to the high biodiversity of these grasslands. These grasslands support many
animal and plant species as well as ecos
As the canopy of the
encroaching forest closes, forage production as well as forage value for
wildlife and domestic livestock declines (Gayton 1996, Grassland Strategy
Working Group 2001, Newman et al. 2004). Grassland grasses, such as bluebunch
wheatgrass, rough fescue and needlegrass, do not survive well under closed
forest canopy and are usually replaced by pinegrass, which has much lower
forage value for both wildlife and livestock (McLean et al. 1964, Gayton 1996,
Newman et al. 2004, 2005). The protein value of pinegrass is lower than that of
grassland bunchgrasses in the summer and pinegrass does not maintain its
protein value during winter (Gayton 1996). As forage availability for domestic
livestock declines, the livestock are concentrated on increasingly smaller
areas, resulting in increased impacts and wildlife conflicts on the remaining
grassland.
Recognition of the
need to control forest encroachment in the Cariboo-Chilcotin has increased in
recent years. A grassland conservation strategy for the region (Grassland
Strategy Working Group 2001), initiated under the Cariboo-Chilcotin Land Use
Plan, recognized forest encroachment as a principal threat to biodiversity and
grazing values of grasslands. A grassland benchmark was established to maintain
or restore grasslands to the extent shown as open range on the earliest forest
inventory of the region (1962 – 1974). The strategy provides several
recommendations for restoring and maintaining open grasslands. The treatment of
forest encroachment has recently been recognized as a principal component of
the Ministry of Forests and Range core business plan (Gov. of B.C. 2005).
Several efforts have
been made in the Cariboo-Chilcotin to remove tree encroachment from grassland.
Early efforts were largely ad hoc and included chain saw, brush saw, and
burning treatments (McIntosh 2001). In addition, in 2000, encroachment on four
sites near Riske Creek was mechanically treated in winter and burned the
following spring (Knezevich 2000, McIntosh 2002). This trial included an
unburned treatment and a chainsaw treated area for comparison. The mechanical/burning
treatment effectively restored the grassland. In fall 2006, the Ministry of
Forests and Range burned nearly 650 ha of grassland to remove recent forest
encroachment (Min. For. and Range 2006). Also in the fall of 2006, the Ministry
of Environment, working with the Canoe Creek Indian Band, mechanically treated
over 1600 ha in the south Cariboo (Packham, R., pers. Comm.).
In the absence of
further treatment to control encroachment, a large area of grasslands in the
grassland benchmark will likely disappear and habitat will be lost for
ungulates, many species of provincial concern and forage values for livestock
will diminish. Because the area of forest encroachment is very large, a
strategy is needed to identify priority grasslands where treatments will be
most effective in conserving key habitat and forage values.
The area of concern within the study area was
defined primarily by the grassland benchmark (Figure 2).

Figure 2. Grassland benchmark within the study area.
Three sources of information were reviewed to
establish where encroachment currently exists within the grassland benchmark:
encroachment mapping undertaken by Ordell Steen and others in the late 1990s,
VRI forested polygons within the grassland benchmark, and an exercise to
predict which grasslands are at risk of recent encroachment (from 2000
onwards). No formal encroachment mapping has occurred in the south end of the
study area (Cascades and Kamloops Forest Districts).
The late 1990s encroachment mapping by Steen
(hereinafter referred to as ‘mapped encroachment’) and others was undertaken to
capture encroachment which had occurred since the 1960s/early 1970s forest
inventory mapping. This was carried out by air photo interpretation (primarily
from 1997 air photos) and included all areas of forest encroachment larger than
approximately 2 ha. Approximate density of encroachment was the only attribute
collected. The encroachment mapping did not extend into the Cascades and
Kamloops Forest District.
VRI has been updated (since the 1960s/early
1970s) in select areas adjacent to cutblocks and roads. Therefore, some
forested polygons fall within the grassland benchmark.
For the purposes of this project, an attempt
was made to predict where grasslands are at risk of the most recent wave of
tree encroachment (from 2000 to present) which has not yet been formally
mapped. Table 2 outlines criteria used. The criteria were mapped and
field checked. Some examples of areas field checked are shown in Figure 3. All photos show areas where the criteria accurately
predicted the presence of recent encroachment. Any discrepancies between the
mapped data and actual conditions were identified and addressed at this stage.
Table 2. Criteria to predict recent (2000 to present) encroachment.
|
Aspect |
Distance from forest edge and mapped encroachment |
Slope |
|
Cool |
<300 m |
All slopes |
|
Warm |
<300 m |
High likelihood: <10% |
|
Moderate likelihood: 10-20% |
|
|
|
|
|
|
Figure 3. Examples of areas field checked for predicting the risk of recent encroachment.
The prioritization framework evaluated the Benefit of Treatment and Cost of Treatment.
The Benefit of Treatment analysis incorporated three components: 1) Forage Production/Grazing, 2) Biodiversity, and 3) Public Safety. Each component is the product of several subcomponents. Each subcomponent represents an individual GIS layer covering the study area in which polygons have been assigned a rating score from 0 to 10. The subcomponents were then weighted based on their relative importance as determined in consultation with the CCLUP Grassland Strategy Committee. Subcomponents were then overlaid spatially in order to calculate the relative score of each component. Finally the three components were weighted based on their relative importance as determined in consultation with the CCLUP Grassland Strategy Committee and were overlaid spatially to calculate the overall treatment benefit score. To demonstrate how this scoring system works, refer to the following example:
The
algorithm has determined that a polygon has moderate values for biodiversity
and so receives a score of 5 for that value. The forage production value of the
polygon is high and receives a score of 10. However, the consultation with the
MOE rationalized that biodiversity was more important than forage production
and therefore determined that the relative weighting of each value would be 75%
to 25% respectively. Therefore, to determine the treatment benefit score out of
10 the calculation was as follows 5 * .75 + 10 * .25 = 6.25 out of 10.
Table 3 and 4 outline the components and subcomponents that make up the overall Benefit of Treatment Rating.
The Forage Potential component is composed of a single subcomponent. This subcomponent builds on the criteria used by the GCC to identify grasslands that have a high foraging potential in terms of the degree of slope and proximity to water sources. All water polygon and polyline features were included (lakes, rivers, streams, swamps and marshes) regardless of whether they are classified as definite or indefinite.
Table 3. Benefit of Treatment: Forage Potential component.
|
Component |
Subcomponent |
Criteria |
Rating Scale |
|
Forage
Potential |
Forage
Potential (similar to method used by GCC) |
Grassland within 3km of water source; 0-10%
slope |
10 |
|
Grassland within 3km of water source; 11-20%
slope |
7 |
||
|
Grassland within 3km of water source; 21-30%
slope |
5 |
||
|
Grassland within 3km of water source; 31-35%
slope |
3 |
||
|
Grassland >3km from water source;
</=35% slope |
1 |
||
|
Grassland >3km from water source; >35%
slope |
0 |
The Biodiversity
component consists of a single subcomponent: Critical Habitat Potential. This
subcomponent included all red and blue listed species element occurrences (EO)
from the Conservation Data Centre as well as
Table 4. Benefit of Treatment: Biodiversity component.
|
Component |
Subcomponent |
Criteria |
Rating Scale |
|
Biodiversity |
Critical
Habitat Potential |
Red- and Blue-listed species element
occurrences and Mule Deer and |
0 to 10 |
The Public Safety component is composed of three subcomponents: Interface Density, Infrastructure, and Risk of Ignition.
The Interface Density subcomponent uses structure density across the landscape to indicate the relative degree of population density. This allows for a general assessment of the degree of fire risk to humans and structures.
The Infrastructure subcomponent accounts for fire risk to infrastructure such as highways, railway and utilities. Any infrastructure present is buffered by 500 m.
The Risk of Ignition subcomponent uses human and lightning caused fire records to predict the likelihood of fire ignition.
Table 5. Benefit of Treatment: Public Safety component and subcomponents.
|
Component |
Subcomponent |
Criteria |
Rating Scale |
Weighting |
|
Public
Safety (Fire Risk) |
Interface
density (risk to humans and structures) |
> 1000 structures/km2 |
10 |
33% |
|
100-1000 structures/km2 |
8 |
|||
|
10-100 structures/km2 |
6 |
|||
|
1-10 structures/km2 |
4 |
|||
|
<1 structure/km2 |
2 |
|||
|
None |
0 |
|||
|
Infrastructure
(risk to utilities, highways etc) |
< 500 m from infrastructure |
10 |
33% |
|
|
> 500 m from infrastructure |
0 |
|||
|
Risk of
ignition (# of fires/500m buffer since 1920) |
>4 fires |
10 |
33% |
|
|
3-4 fires |
7 |
|||
|
1-2 fires |
3 |
|||
|
0 fires |
0 |
The Cost of Treatment incorporates the components outlined in Table 6. Each of the three components (Encroachment Density, Slope, and Exiting Fire Breaks) represents a factor affecting the relative cost of restoration treatments. The scoring for Cost of Treatment was determined as per the method for Benefit of Treatment. The final score of Cost of Treatment corresponds to an estimated cost of treatment reported as a range of values per hectare. The highest score of 10 indicates the least costly, highest feasibility of treatment.
Table 6. Cost of Treatment components.
Add invasives: greater invasive presence = greater cost
Add range improvement: greater cost near improvement
|
Component |
Criteria |
Rating Scale |
Weighting |
|
Encroachment Density |
Open grassland (no
encroachment or very recent encroachment |
10 |
33% |
|
Sparse (1-5% tree
cover) |
8 |
||
|
Moderate (6-35%
cover) |
6 |
||
|
Dense (>35%
cover) |
4 |
||
|
Slope |
Slope <35% |
10 |
33% |
|
Slope 35-50% |
6 |
||
|
Slope >50% |
4 |
||
|
Existing Fire Breaks |
0-250 m from
road/permanent water >1ha |
10 |
33% |
|
250-500 m from
road/permanent water |
6 |
||
|
>1km from
road/permanent water |
4 |
The final stage involved analyzing the results of
the prioritization framework by spatially combining the Benefit of Treatment
with the Cost of Treatment in order to develop a final treatment prioritization
map. This final spatial combination maintains the Benefit and Cost of Treatment
values as separate entities such that each polygon shows both values (for
example, a polygon may have a high Benefit of Treatment but a high Cost of
Treatment). In this way all polygons with a high Benefit of Treatment value and
a very low Cost of treatment value would receive the highest treatment priority
ranking.
The scoring calculation example provided under Benefit of Treatment demonstrates the calculation from sub-component to component. This same method of calculation was used to convert component values to an overall Benefit of Treatment value and ultimately, Benefit and Cost of Treatment to combined treatment priority value. The advantage of maintaining subcomponents, components, treatment benefit and treatment cost as separate entities lies in the transparency that is achieved in the calculations. In this way, each entity can be presented separately or as a combined resultant and the way in which each entity has contributed to the combined result is visible. For example, it is be possible to see which polygons derive a very high benefit from treatment (e.g., score a ten) but that are also very expensive to treat (e.g., score a one). If Treatment Prioritization were the only result, then a polygon with very high benefit and very high cost would simply appear as a moderate priority (assuming benefit and cost were weighted equally at 50%) and the end product alone would not indicate why this was so.
The final Treatment Prioritization map also shows ownership (private, provincial, or federal) and grazing leases so as to highlight the treatable crown range. Figure 4 shows how each step in the methodology flows together to produce the final treatment prioritization.

Figure 4. Flow chart illustrating methodology.
There are 41,929 ha of
mapped encroachment within the grassland benchmark (Figure
5). Table 7 summarizes the density class distribution of mapped
encroachment. The majority of mapped encroachment (58%) is classified as
sparsely dense (1 to 5% tree cover).
Table 7. Density class
distribution of mapped encroachment.
|
Density
Class |
Total
Area (ha) |
Percent
of Total Mapped Encroachment |
Percent
of Grassland Benchmark |
|
1
- Open grassland (very little
encroachment) |
5,411 |
13% |
2% |
|
2
- Sparse (1-5% tree cover) |
24,590 |
58% |
9% |
|
3
- Moderate (6-35% cover) |
4,826 |
12% |
2% |
|
4
- Dense (>35% cover) |
6,915 |
16% |
3% |
|
5
- Variable |
186 |
<1% |
<1% |
|
Total |
41,929 |
100 |
16% |

Figure 5. Mapped encroachment within the grassland benchmark.
It was found that
38,609 ha of forested polygons (greater than 2 ha) from VRI overlapped with the
grassland benchmark (Figure 6). Of this area, 7,064 ha (18%) overlapped with mapped
encroachment. Since the benchmark was established based on open range defined
from 1960/1970s forest inventory maps, it would follow that these forested
polygons should be less than 50 years old. Table 8 shows that only 5% (1,969
ha) were under 50 years old. This may indicate that there are some areas with
inaccurate VRI data.
Table
8. Age class distribution of forested
polygons within the grassland benchmark.
|
Age
Class |
Total
Area (ha) |
Relative
Percent of Total Forested Area |
Percent
of Grassland Benchmark |
|
<50 |
1,969 |
5% |
1% |
|
50 - 99 |
13,034 |
34% |
5% |
|
100 - 199 |
19,996 |
52% |
8% |
|
>/= 200 |
3,610 |
9% |
1% |
|
Total |
38,609 |
100% |
15% |

Figure 6. Forested polygons within the grassland benchmark.
A total of 67%
(178,465 ha) of the grassland benchmark is predicted to be at risk of recent
encroachment (from 2000 to present).
Within this at risk area, 87% (154,703 ha) was found to be at high risk
of recent encroachment (Table 9 and Figure 7).
Table 9. Grassland benchmark most at risk of recent encroachment
|
Risk
of Encroachment |
Total
Area (ha) |
Relative
Percent of Total at Risk Area |
Percent
of Grassland Benchmark |
|
High Risk |
154,703 |
87% |
58% |
|
Moderate Risk |
23,762 |
13% |
9% |
|
Total |
178,465 |
100% |
67% |

Figure 7. Grassland benchmark most at risk of recent encroachment.
Just over one quarter
(75,126 ha) of the total grassland benchmark was rated as gaining a very high
or high Benefit of Treatment. Most often
this occurred where areas with a high or very high biodiversity rating
overlapped areas with high or very high forage potential. Forty-four percent (116,230 ha) of the
grassland benchmark was rated as gaining a moderate Benefit of Treatment. Table
10 and 8 show the results of the overall Benefit of Treatment and associated
subcomponents.
Table 10. Benefit of Treatment results
|
Benefit
of Treatment |
Total
Area (ha) |
Relative
Percent of Grassland Benchmark |
|
Very
High |
802 |
<1% |
|
High |
75,324 |
28% |
|
Moderate |
116,230 |
44% |
|
Low |
57,344 |
22% |
|
Very
Low |
14,768 |
6% |
|
None |
848 |
<1% |
|
Total |
265,315 |
100% |

Figure 8. Benefit of Treatment results
Almost three quarters (194,008 ha) of the grassland
benchmark was rated as having very high treatment feasibility. This is because
the majority of the benchmark has low density or no tree encroachment, existing
fire breaks and favorable gentle slopes. Table 11 and Figure 9 show the overall Cost of Treatment
and associated subcomponents.
Table 11. Cost of Treatment
results.
|
Cost
of Treatment |
Total
Area (ha) |
Relative
Percent of Grassland Benchmark |
|
Very
High (Most Feasible) |
194,008 |
73% |
|
High |
66,161 |
25% |
|
Moderate |
5,127 |
2% |
|
Low |
20 |
0% |
|
Very
Low (Least Feasible) |
0 |
0% |
|
None |
0 |
0% |
|
Total |
265,315 |
100% |

Figure 9. Cost of Treatment results.
One quarter (65,068
ha) of the total grassland benchmark area falls within the highest priority
ranking for restoration treatment (Table 12 and Figure 10). Just under
forty percent (104,243 ha) falls within priority 2 ranking.
Table 12. Overall Benefit and Cost of Treatment area
summary and prioritization.
|
|
Cost
of Treatment |
Total
(ha) |
||||||
|
Very
High (Most Feasible) |
High |
Moderate |
Low |
Very
Low (Least Feasible) |
None |
|||
|
Benefit of Treatment |
Very
High |
642 |
154 |
6 |
0 |
0 |
0 |
802 |
|
High |
64,272 |
10,959 |
92 |
0 |
0 |
0 |
75,324 |
|
|
Moderate |
93,278 |
22,636 |
316 |
0 |
0 |
0 |
116,230 |
|
|
Low |
31,311 |
23,409 |
2,612 |
12 |
0 |
0 |
57,344 |
|
|
Very
Low |
4,309 |
8,476 |
1,975 |
8 |
0 |
0 |
14,768 |
|
|
None |
196 |
527 |
126 |
0 |
0 |
0 |
849 |
|
|
Total
(ha) |
194,008 |
66,161 |
5,127 |
20 |
0 |
0 |
265,315 |
|

Figure 10. Treatment prioritization by percent of grassland benchmark area.
Monitoring forms an important component of any management plan. Monitoring allows the evaluation of management actions, treatment effectiveness and the state of the resources. Both effectiveness and encroachment monitoring are recommended for ongoing evaluation of benchmark grasslands.
Effectiveness monitoring measures how successful management actions were in meeting project objectives, providing feedback to managers and allowing improvements and refinements to management actions. Well planned restoration prescriptions and projects will have clearly articulated objectives and effectiveness monitoring needs to be designed to measure how well the objectives were met. The objectives for grassland restoration will generally include the removal of trees from the site and recovery of the herbaceous plant community.
Tree removal effectiveness may vary depending upon the methods used and is relatively straightforward to measure. Comparing the density of trees on the site pre- and post-treatment can be easily accomplished using fixed or variable radius plots depending upon site conditions and project objectives.
Understory vegetation communities in encroached grassland sites may vary considerably and may be substantially departed from grassland condition. The frequency and type of monitoring used should account for the expected rate of community recovery. Sites that have vegetation very departed from grassland condition should be monitored more frequently than sites with a less departed community for several reasons. Grassland sites that are recovering are likely to be more sensitive to grazing than sites with a healthy grass component. Monitoring will aid in determining the appropriate level of grazing pressure on the site to allow vegetation recovery. Additionally, invasive plants and noxious weeds are more likely to become established on sites with a poorly developed vegetation community and restored sites are at greater risk to invasive plant establishment until grassland communities become established.
Vegetation monitoring in restored sites is best accomplished using permanently established, easily relocated plots. Circular plots around a permanently located metal pin are perhaps the easiest plot type to accurately re-establish. The number of plots needed to effectively monitor vegetation community changes will vary with the size of the project area, the variability in vegetation and site conditions, and the project objectives. Monitoring intensity must carefully balance the need for accurate and complete data, and the cost and time required to complete the monitoring. Monitoring programs that are too intensive may be less useful than less intensive programs that can be monitored more frequently.
Periodic encroachment monitoring is also recommended. Early detection of new encroachment will allow the encroachment to be removed while it is still young and less expensively accomplished. Grassland vegetation communities are also less altered under recent encroachment, and are thereby less susceptible to invasive plant establishment and livestock and wildlife grazing. Treating newly encroached areas when trees are small is much more easily accomplished using a wider range of treatment options than sites where encroachment is older and larger. Tree establishment into grassland areas in the Cariboo-Chilcotin tends to be episodic, so monitoring a subset of at-risk sites is likely sufficient to detect when a widespread encroachment event occurs.
It is recommended that
the Region form a steering committee modeled on the success of the Rocky
Mountain Trench Ecosystem Restoration Steering Committee, to be managed
primarily by the provincial government and made up of interested organizations
and stakeholders to plan, establish targets, and oversee grassland restoration
in the Region. Ideally this committee could be expanded outside the grassland
benchmark to oversee and plan ecosystem restoration throughout the Region.
A centralized
GIS-based project database should be created to track all grassland restoration
treatments within the Region. This database would include all planning
documents, past and future treatment schedules, and monitoring results. The results
of the History of Forest Encroachment
Work in the Cariboo Forest Region (McIntosh 2001) should be incorporated
into the database. It summarizes all available documentation and anecdotal
information pertaining to historic encroachment control related work in the
Region from the 1950s onward.
A new wave of forest
encroachment has occurred since the late 1990s. Although this report has
attempted to predict where this wave has occurred, it is recommended that
another encroachment mapping exercise (similar to that carried out by O. Steen
in the late 1990s) be undertaken as soon as possible. Since new encroachment is
the least costly to treat, this should be a priority.
No encroachment
mapping has been undertaken at the south end of the study area (primarily
within the Cascades and Kamloops Forest Districts). In addition, the grassland
benchmark doesn’t extend into this area. It is recommended that the benchmark
be established and that encroachment mapping be carried out in this area.
There is a lack of
information pertaining to forage production and utilization in the Region. In
order for forage to be sustainable for both wildlife and domestic species it is
critical that forage supply and demand be kept in balance. Forage monitoring
sites should be established to track the impact of grazing on Crown range. This
would include measuring forage production and utilization, and tracking
year-round grazing patterns. This information would greatly enhance treatment
prioritization decision making.
The Cariboo-Chilcotin
Grassland Strategy (CCGS) was prepared under the authority of the IAMC. The
strategy examines both the historical and current extent and distribution of
grasslands in the Cariboo Region. From this
Due to fire exclusion
and altered land management, extensive areas of the grasslands benchmark are
now forested. The intent of the grassland strategy is to restore these newly
forested areas to grassland and to maintain them and other areas as grassland
in the long-term. Tree cover objectives for benchmark areas are to return tree
densities to that found historically in the area when fire intervals averaged
10 – 20 years.
More red- and
blue-listed species are found in grasslands than on all other ecos
Forage production for
livestock grazing is also identified as an objective for grasslands in the
CCGS. Forage production is greater in open grasslands than in forests and the
vegetation species found in grasslands provides more and better quality forage
for livestock. Cattle grazing in grasslands can be more closely monitored and
concentrated than in forested habitats, giving better productivity and greater
returns to the rancher. Grasslands green-up earlier than forested sites,
allowing ranchers to turn-out cattle earlier thereby saving the expense of
feeding livestock.
Implementing this
grassland restoration plan will meet the targets of the grassland strategy. A
large area of the benchmark has been encroached and will take many years to
restore to grassland condition. This plan specifies which encroached areas are
of highest priority to biodiversity, public safety and livestock grazing, and
which would be most cost-effective thereby allowing the most important
grasslands to be restored first at the most reasonable cost.
Almost half of the herds in the Fraser metapopulation of California bighorn sheep are found in the study area. Of these herds, only two, the Kelly Lake-Canoe Creek and Lillooet-Kelly Lake herds have forest encroachment listed as low or low to moderate risk to the habitat for the herd. Habitat for the other herds, the Junction, Churn Creek, Fraser west, and Alkali- Canoe Creek herds, was identified as at a moderate or high risk from forest encroachment. Habitat for all of the California Bighorn sheep herds in the study area was identified as at risk from competition from livestock. Increasing the available forage through treating forest encroachment will reduce the competition for forage and improve habitat conditions for bighorn sheep.
In the study area, over 6,900 ha of encroached benchmark grasslands are in California bighorn sheep range. Of this area, 1,740 ha occurs within areas of high use and another 3,345 ha is found in areas of moderate use. The range of California bighorn sheep overlaps with the distribution of a number of other red- and blue-listed species resulting in a high priority for restoration. Implementing the restoration as prioritized in this plan will complement the management recommendations in the Fraser Basin California Bighorn Sheep Management Plan.
Bai, Y., Broersma,
K., Thompson, D., and Ross, T.J. 2000. Tree encroachment anal
Bai, Y., Broersma, K., Thompson, D., and Ross, T.J. 2004. Landscape-level dynamics of grassland-forest transitions in British Columbia. Rangeland Ecology and Manage. 57: 66-75.
Blackwell, B.A., R.W. Gray, D. Ohlson, F. Feigl. 2003. Developing a coarse scale approach to the Assessment of Forest Fuels. Report prepared for the Canadian Forest Service.
Forest Practices
Board. 2007 The Effect of Range Practices on Grasslands: A test case for upper
grasslands in the South Central Interior of British Columbia. (http://www.fpb.gov.bc.ca/special/investigations/SIR19/SIR19.pdf)
Gayton, D. 1996.
Fire-maintained ecos
Gayton, D. 1997. Preliminary calculation of excess forest ingrowth and resulting forage impact in the Rocky Mountain Trench. Unpubl. report. Min. of Forests, Nelson Forest Region. 6 p.
Government of British Columbia. 2005. Annual service plan reports 2005/2006, Service delivery and core business areas. Part A: Ministry of Forests and Range. Government of British Columbia (www.bcbudget.gov.bc.ca/Annual_Reports/2005_2006)
Grassland Strategy Working Group 2001. Cariboo-Chilcotin grasslands strategy – Forest encroachment onto grasslands and establishment of a grassland benchmark area. Unpubl. report prepared for Cariboo Mid-Coast Interagency Management Committee. 57 p.
Hansen, K., Wyckoff, W., and Banfield, J. 1995. Shifting forests – historical grazing and forest invasion in southwestern Montana. Forest and Conservation History 39: 66-76.
Kennedy, P.G. and Sousa, W.P. 2006. Forest encroachment into a Californian grassland: examining the simultanewous effects of facilitation and competition on tree seedling recruitment. Oecologia 148: 464-474.
Kirby, J. and Campbell, D. 1999. Forest in-growth and encroachment – A provincial overview from a range management perspective. Unpubl. report. B.C. Min. of Forests, Forest Practices Br. (Range Section), Victoria, B.C.
Knezevich, F. 2000.
Field trial report on removal of trees from grasslands. Unpubl. project report
submitted to FRBC – Terrestrial Ecos
Mast, J.N., Veblen,
T.T., and Hodgson, M.E. 1997. Tree invasion within a pine/grassland ecotone: an
approach with historic aerial photography and
McIntosh, T. 2001.
History of forest encroachment work in the Cariboo Forest Region. Unpubl. project
report submitted to FRBC – Terrestrial Ecos
McIntosh, T. 2002.
Cotton road forest encroachment knockdown and burn study: post-burn sampling
and data anal
McLean, A., E.R. Smith, and W.L. Pringle. 1964. Handbook on grazing values of range plants of British Columbia. Canada Dept. of Agric., Research Station, Kamloops, B.C.
Miller, R.F. and Rose, J.A. 1999. Fire history and western juniper encroachment in sagebrush steppe. J. Range Manage. 52: 550-559.
Ministry of Forests and Range. 2006. Becher Prairie grassland restoration project: Fall burn 2006. Unpubl. report. Min. For. and Range, Central Cariboo Forest Dist. 29 p.
Newman, R., Page,
H., and Parminter, J. 2004. Understory succession following initial ecos
Newman, R.,
Parminter, J., and Wurtz, S. 2005. Understory successin following ecos
Parminter, J.V. 1978. Forest encroachment upon grassland range in the Chilcotin region of British Columbia. M.F. Thesis, Univ. of British Columbia. 121 p.
Parminter, J. and Daigle, P. 1999. Fire in the dry interior forests of British Columbia. In: Egan, B. (comp.), Proceedings: Helping the land heal conference – ecological restoration in British Columbia, Nov. 5 – 8 1998, Victoria, B.C., BC Environmental Network Education Found., Vancouver, B.C., p. 220 – 223.
Pärtel, M. and Helm, A. 2007. Invasion of woody species into temperate grassland: relationship with abiotic and biotic soil resource heterogeneity. J. Veg. Sci. 18: 63-70.
Pitt, M. and Hooper, T.D. 1994. Threats to biodiversity of grasslands in British Columbia. In L.E. Harding and E. McCullum (eds.) Biodiversity in British Columbia: Our changing environment. Environment Canada. UBC Press. Chapter 20, p. 279 – 292.
Rocky Mountain
Trench Ecos
Rocky Mountain
Trench Ecos
Ross, T. 1997. Forest ingrowth and forest encroachment on Bald Mountain and Becher Prairie between 1962 and 1993/95. Unpubl. report prepared for B.C. Min. of Agric. and Cariboo/Chilcotin Grazing Enhancement Fund by Ross Range and Reclamation Services, Cranbrook, B.C.
Ross, T. 2000.
Forest ingrowth and encroachment in the Cariboo Forest Region between 1961 and
1997. Unpubl. report prepared for the British Columbia Ministry of Agriculture,
Williams Lake, B.C. by Ross Range and Reclamation Services, Cranbrook, B.C. and
final report to FRBC – Terrestrial Ecos
Sankey, T.T., Montagne, C., Graumlich, L., Lawrence, R., and Nielsen, J. 2006a. Lower forest-grassland ecotones and 20th century livestock herbivory effects in northern Mongolia. For. Ecol. and Manage. 233: 36-44.
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role of fire in managing for biological diversity on native rangelands of the
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Strang, R.M. and Parminter, J.V. 1980. Conifer encroachment on the Chilcotin grasslands of British Columbia. For. Chron. 56: 13-18.
Taylor, S.W. and
Baxter, G.J. 1998. Fire and successional models for dry forests in western
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Tisdale, E.W. 1950. Grazing of forest lands in interior British Columbia. J. Forestr. 48: 856-860.
Tremblay, M.A. and
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adjacent to Kootenay
Turner, J.S. and
Krannitz, P.G. 2000. Tree encroachment in the south Okanagan and lower
Similkameen valle
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Whitford, H.N. and Craig, R.D. 1918. Forests of British Columbia. Commission of Conservation Canada, Committee on Forests. Ottawa, Ontario.
Table 13. Historic natural fire regime distribution within study area.
|
Fire
Regime Code |
Description |
Area
(ha) |
Relative
Percent of Study Area |
|
0 |
Little
or No Occurance of Fire |
433,035 |
8% |
|
I |
0-35
Year Frequency, Low Severity |
1,177,694 |
22% |
|
II |
0-35
Year Frequency, Mixed Severity |
164,617 |
3% |
|
III |
0-35
Year Frequency, Stand Replacement Severity |
781,343 |
14% |
|
IV |
35-100
Year Frequency, Mixed Severity |
1,155,657 |
21% |
|
V |
35-100
Year Frequency, Stand Replacement Severity |
1,436,371 |
27% |
|
VI |
100-200
Year Frequency, Mixed Severity |
16,509 |
0% |
|
VII |
100-200
Year Frequency, Stand Replacement Severity |
210,665 |
4% |
|
VIII |
200+
Year Frequency, Stand Replacement Severity |
1,163 |
0% |
|
|
No
Data |
23,707 |
0% |
|
Total |
5,400,761 |
100% |
|
Historic
natural fire regime defined (from Blackwell et
al. 2003):
|
Fire Regime Code |
Description |
|
0 |
Little or no occurrence of fire |
|
I |
0-35 year frequency, low severity |
|
II |
0-35 year frequency, mixed severity |
|
III |
0-35 year frequency, stand-replacement severity |
|
IV |
35-100 year frequency, mixed severity |
|
V |
35-100 year frequency, stand-replacement severity |
|
VI |
100-200 year frequency, mixed severity |
|
VII |
100-200 year frequency, stand-replacement severity |
|
VIII |
200+ year frequency, stand-replacement severity |
Fire Regime 0 is a non-fire regime where there is little or no
occurrence of fire.
Fire Regime I (0- to 35-year frequency, low severity) is found primarily
in forest types that
experience frequent, low severity, non-lethal surface fires. For
example, this fire regime would be found in ponderosa pine and Douglas-fir (Pseudotsuga
menziesii [Mirb.] Franco) forest types with an herbaceous understory
occurring on both subdued terrain and steeper, warm aspects. Fires occurring in
HNFR I are generally non-lethal to the dominant vegetation and do not
substantially change the structure of this layer. Fire history studies in this
regime suggest it has the highest frequency of fire occurrence in B.C. and that
it was historically widely spread throughout the study area. To support high
frequency fire, sufficient surface fuels must accumulate between fires to carry
subsequent fires, in many cases within one or two years, but not enough to result
in fire severity sufficient to kill many overstory trees. More productive
ecosystems within this type may develop thick regeneration or shrub/herb layers
between fires
that are killed, thinned, and/or top-killed by subsequent fires.
Approximately 80% or more of the aboveground dominant vegetation survives these
fires.
Fire Regime II (0 - to 35-year frequency, mixed severity) is closely associated
with Fire Regime
I. It is found in similar dry forest types but occurs on cooler aspects at
lower elevation, and at higher elevations directly upslope of Fire Regime I
ecosystems on warm aspects. Depending on the ecosystem affected, mixed severity
can be defined spatially, temporally, or both. At low elevation these sites may
“miss” one or several fires that occur in the adjacent HNFR I sites due to
fuels and topography. Higher productivity sites on cooler aspects also results
in more surface fuel, in turn resulting in higher fire intensity and severity
than the adjacent HNFR I. Many fires originating in HNFR I have a high
probability of affecting upslope, HNFR II ecosystems. On steep, warm aspects
where HNFR II ecosystems transition to HNFR I ecosystems, fire severity is
regulated by the season of fire, site productivity, and species composition.
Historic fires that occurred early in the growing season (some First Nations
burning) in HNFR I may not affect adjacent HNFR II ecosystems due to fuel
moisture. Higher elevation sites, even on warm aspects, may be more productive
than lower elevation warm sites due to precipitation and soil
moisture. These sites therefore have the ability to produce more surface
fuel over a short period of time. A caveat to site productivity, however, is
the shorter growing season. Tree species inhabiting the higher elevation, warm
aspects include subalpine fir (Abies lasiocarpa (Hook.) Nutt.),
Engelmann spruce (Picea engelmannii Parry ex Engelm.), and lodgepole
pine (Pinus contorta Dougl. ex. Loud.), which exhibit a lower fire
tolerance (Uchytil 1991a; Uchytil 1991b; Uchytil 1992) than species such as
ponderosa pine and Douglas-fir (Howard 2002a; Steinberg 2002). All of these
factors produce highly variable levels of fire effects on tree species and
structures within a fire regime with a high frequency.
Fire Regime III (0- to 35-year frequency, stand-replacement severity) is found primarily in
grass and shrub types where frequent fire consumes or kills >90% of
the dominant overstory canopy. It is critical to note the distinction between
the terms “consumes,” “kills,” and “top-kills” in the definition of this fire
regime. In many grass- and shrub-dominated ecosystems natural fires “top-kill”
the dominant vegetation but do not “kill” the plants outright. Historically,
most of the species found in these ecosystems were fire-adapted and persisted
through mechanisms such as below-ground epicormic buds and soil stored seed.
Landscapes subject to this fire regime likely contained “refugium” patches
where less fire adapted species, such as prickly pear cactus (Opuntia
polyacantha) and Rocky Mountain juniper (Juniperus scopulorum)
(Johnson 2000; Scher 2002a), lichens, and liverworts, survived the high
frequency of fire occurring in the surrounding landscape matrix (Blackwell et
al. 2001).
Fire Regime IV (35- to 100-year frequency, mixed severity) is associated with
forest types and
topography where fuel moisture conditions are favorable to fire ignition
and spread, and where topography and moisture conditions are more variable than
in the more frequent fire regimes. This fire regime often occurs in close
proximity to HNFRs I and II, but due to higher elevation, cooler, moister
conditions, and/or variable topography may “miss” several fires occurring below
or adjacent to it. The season during which burning historically occurred in these
ecosystems is critical. Early season fires at low elevation, or on adjacent
warm aspects in HNFR I and II ecosystems, did not likely impact HNFR IV
ecosystems resulting in the theory of “missed” intervals. First Nations burning
to encourage the propagation of subalpine plants
such as black huckleberry (Vaccinium membranaceum), spring beauty
(Claytonia lanceolata), and glacier lily (Erythronium grandiflorum)
(Turner et al. 1990; Turner 1991; Turner 1999) was instrumental in HNFR
IV fire history, as was summer/fall lightning. With increasing elevation, or
more northerly aspects, comes a reduced fire “window” wherein conditions
favorable for fire ignition and spread would be limited to late summer and
fall. Probabilities of fire starts are decreased compared to HNFR I and II.
Tree species found in HNFR IV include a range of fire tolerances from low,
{western redcedar (Thuja plicata Donn ex D. Don), western hemlock (Tsuga
heterophylla [Raf.] Sarg.), subalpine fir and Engelmann spruce}, moderate,
(lodgepole pine and whitebark pine [Pinus albicaulis Engelm.]), to high,
(Douglas-fir and western larch [Larix occidentalis Nutt.]) (Tesky 1992a;
Tesky 1992b; Howard 2002b; Scher 2002b).
Fire Regime V (35- to 100-year frequency, stand-replacement severity) is found on more
northerly aspects but within landscapes where fires occurred relatively
frequently. In this regime, fires kill the aboveground parts of dominant
vegetation, changing the aboveground structure substantially. Approximately 80%
or more of the aboveground vegetation is either consumed or dies as a result of
fires. The proximity of these ecosystems to high fire frequency ecosystems is
instrumental in their fire history, as is the relative frequency of
fire-favorable weather and fuel conditions. These ecosystems typically contain
tree species with a low fire tolerance such as subalpine fir and Engelmann
spruce.
Fire Regime VI (100-200 year frequency, mixed severity) is found in areas
where fires occur
infrequently, but, due to high fuel accumulations, a mix of species fire
tolerances, and highly variable topography, when fires do occur they result in
high, but not complete, overstory mortality. This fire regime is driven more by
the infrequent occurrence of fire-favorable weather and surface fuel
conditions. Weather patterns conducive to fire are variable but typically
infrequent. Surface fuels may go through transitions of succession where
certain plant communities are very poor carriers of fire (e.g. shrub or
deciduous tree) but eventually surface fuel accumulations and plant community
succession lead to a more flammable condition.
When these two factors interact, relatively high intensity fires occur.
Highly bisected topography, which is a characteristic of these ecosystems,
produces both spatially, mixed succession stages and fire effects.
Fire Regime VII (100-200 year frequency, stand-replacement severity) is found in areas
where
fires occur very infrequently but when they do occur the fire kills
aboveground parts of dominant vegetation,
changing the aboveground structure substantially. Approximately 90% or more of
the aboveground vegetation is either consumed or dies as a result of fires.
This fire regime contains similar regime characteristics to Fire Regime VI.
Fire Regime VIII (200+ year frequency, stand-replacement severity) is found in areas
where
fires occur very infrequently. Characteristics of these ecosystems
include strong northerly aspects, variable topography, dominant weather
patterns of poor fire-favorable weather, and mostly inflammable surface fuel
conditions. Following a major fire event these ecosystems may go through a
prolonged succession of shrub and deciduous tree plant communities that are
very poor carriers of fire. Eventually a conifer community inhabited by species
with very low fire tolerance, such as mountain hemlock (Tsuga mertensiana [Bong.])
or Pacific silver fir (Abies amabilis [Dougl.] ex. Loud.), will dominate
(Cope 1992; Tesky 1992c). The conifer community will burn in a
stand-replacement fashion once adequate surface fuel and weather
conditions are met.
Table 14. Condition class
distribution within study area
|
Condition
Class |
Area
(ha) |
Relative
Percent of Study Area |
|
1 |
2,579,809 |
48% |
|
1
(burned) |
72,901 |
1% |
|
2 |
1,455,404 |
27% |
|
3 |
713,405 |
13% |
|
Alpine |
22,663 |
0% |
|
Non-Productive |
532,872 |
10% |
|
NTA |
23,707 |
0% |
|
Total |
5,400,761 |
100% |
Condition class defined (from Blackwell et al. 2003):
The effect of HNFR on forest and range ecosystems produces a variable,
but predictable, range of species and vegetation structures (Brown 2000).
Shifts in species composition and vegetation structure have accompanied the
interruption of the HNFR across many parts of the study area (Gray et al. 2002;
Gray et al. [in press]). As a result there has been a significant
departure from the species and structural elements adapted to the HNFR; were
fire to return to these ecosystems in their departed state, extensive
environmental damage could occur. Not all ecosystems are departed from their
historic state, however, and many fall within a range of departure. The
condition class (CC) concept (Hardy et al. 2001, Hann and Bunnell 2001,
Schmidt et al. 2002) was developed as a useful tool for assessing an
ecosystem’s fire regime change over time. Condition classes (Table 3) are a
function of the degree of departure from the HNFR
resulting in the alteration of key ecosystem components such as species
composition, structural stage, stand age, and canopy closure. One or more of
the following activities may have caused this departure: fire exclusion, timber
harvesting, grazing, introduction and establishment of exotic plant species,
insects and disease (introduced or native), or other past management activities
(Hardy et al. 2001).
Condition Class descriptions (from Hardy et al. 2001, and Hann
and Bunnell 2001)
|
Condition Class |
Departure from HRV1 |
Attributes |
Example management options |
|
Class 1 |
Low |
- Fire regimes are within or near an historical range - The risk of losing key ecosystem components is low - Fire frequencies have departed from historical frequencies by no more than one return interval - Vegetation attributes (species composition and structure) are intact and functioning within an historical range - Disturbance agents, native species habitats, and hydrologic functions are within the historical range of variability -
Smoke production potential is low in volume |
Where appropriate, these areas can be maintained within the historical fire regime by treatments such as management ignited prescribed fire or prescribed natural fire |
|
Class 2 |
Moderate |
- Fire regimes have been moderately altered from their historical
range - The risk of losing key ecosystem components has increased to moderate - Fire frequencies have departed (either increased or decreased) from
historical frequencies by more than one return interval. This results in
moderate changes to one or more of the following: fire size, frequency, intensity, severity, or landscape patterns - Disturbance agents, native species habitats, and hydrologic functions are outside the historical range of variability - Smoke
production potential has increased moderately in volume and duration |
Where appropriate, these areas may need moderate levels of restoration treatments, such as management ignited prescribed fire and hand or mechanical treatments, to be restored to the historical fire regime |
|
Class 3 |
High |
- Fire regimes have been significantly altered from their historical
range - Fire frequencies have departed from historical frequencies by multiple return intervals. This results in dramatic
changes to one or more of the following: fire size, frequency, intensity,
severity, or landscape patterns - Vegetation attributes have been significantly altered from their
historical range - Disturbance agents, native species habitats, and hydrologic functions are substantially outside the historical
range of variability |
Where appropriate, these areas may need high levels of restoration treatments, such as hand or mechanical treatments. These treatments may be necessary before fire is used to restore the historical fire regime |
1 HRV = historic range of variability
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