Climate change adds greater risk and uncertainty to
management decisions. This section describes the process through which
climate change scenarios were developed for Mt. Robson Provincial Park.
The intent of this step was to use easily available Global Climate
Change Models to develop climate change scenarios. These could, in turn,
be used to develop future scenarios for forest ecosystems and
disturbance patterns and potentially inform future management
interventions.
The starting point in the development of climate change scenarios was to
document the potential change in key climate variables. Based on an
understanding of the main ecosystem management issues in Mt. Robson
Park, the main variables of interests are future climate effects on:
the type, range and distribution of forest ecosystems and tree species, and
the characteristics of forest disturbance regimes (i.e., wildfire and mountain pine beetle).
The UKCIP framework suggests the use of a general checklist approach to determining which climate variables to include in a climate change risk assessment. The next step, therefore, was to review a list of climate variables generally available from global circulation models (GCMs) and selected those thought to have the largest driving influence on forest ecosystems and disturbance regimes. These include:
Future change projections in the selected climate variables were
derived from the results of a range of GCMs run under a range of future
greenhouse gas emission scenarios. This approach, which applies methods
generally in accordance with the IPCC Data Distribution Center
guidelines on the use of scenario data for impacts and adaptation
assessments (IPCC-TGCIA, 1999), provides an opportunity for identifying
both potential trends and the full range of uncertainty around them.
All data was extracted using tools provided by the Canadian Climate
Impacts and Scenarios project website at: www.cics.uvic.ca/scenarios/.
This source provides access to a range of GCM results. For each climate
variable analyzed, the following specific inputs for Mt Robson Park were
used:
From the overall database of downloaded results –which varies from 8
to 25 predictions depending on the climate variable since not all GCMs
calculate all variables – the full “envelope” of scenario results for
each time slice was charted. Each climate variable range envelope was
examined over time to interpret both potential trends and the magnitude
of uncertainties.
The table below provides a summary of climate change scenario results for key
climate variables that influence forest ecosystems and disturbance
regimes in Mt. Robson Park. The trends and envelope ranges found here
are generally consistent with those reported by the IPCC for northern
hemisphere (IPCC, 2001a).
Table 2: Summary of change scenarios for selected climate variables
| Variable | Focus Period | Range of Magnitude/Direction of change |
| Mean Temperature | Annual | +2.2° to +7.9°C |
| Summer Season | +2/2°C to +7.4°C | |
| Mean Extreme Minimum temp | Cold season months (Dec, Jan, Feb) | +1°C to +11°C |
| Mean Precipitation | Annual | -2% to +17% |
| Summer season | -28% to -13% | |
| Mean Soil Moisture | Annual | -1% to -5% |
| Spring Season Summer Season |
0% to -11% -1% to -4% |
|
| Mean Wind Speed | Summer Season | 0% to -16% |
| Mean Relative Humidity | Summer Season | 1% to -13% |
**Note: Long-term trends (i.e. the 2080 results) are used as the basis of this summary and the specific focus periods selected for each variable are those hypothesized to have a significant influence on the forest ecosystems and disturbance regimes.
It is important to bear in mind the important limitations in the application of GCM-derived results for impact and adaptation planning. Some of the main ones include:
From an adaptation planning perspective, the primary challenge is to
incorporate the potential trends in key climate variables while
simultaneously recognizing the inherent uncertainties associated with
GCM-derived predictions. The next section sets out the process through
which future scenarios for forest ecosystems and disturbance patterns
were developed based on the climate change scenario results and relevant
research studies.