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Oil Sands Terrestrial Habitat and Risk Modeling for Disturbance and Reclamation – Phase I Report Open Access

Descriptions

Author or creator
Welham, C.
Additional contributors
Subject/Keyword
Modeling
Alberta
OSRIN
Wildlife
Tarsands
TR-8
Oil Sands
Climate Change
Vegetation
Trees
Reclamation
Wildlife Habitat
Tar Sands
Oilsands
Type of item
Report
Language
English
Place
Canada, Alberta, Fort McMurray
Time
Description
The overall objective of this project is to develop a framework that integrates risk management and strategic decision-making to evaluate the impact of disturbance (natural and industrial) on ecosystem products and services, and on habitat availability for terrestrial species in Alberta’s Lower Athabasca planning region. This will include an evaluation of the impact of disturbance (natural disturbance due to insect outbreaks, fire and wind, as well as other industrial and agricultural disturbances), conservation, and reclamation activities associated with oil sands development both at the lease and regional levels. The project will be conducted in three phases. Each phase is sequential such that its results and conclusions represent the foundation for the subsequent work. In this way, project investment and outcomes can be realized incrementally. Four scenarios will be incorporated into the overall project. These include scenarios constituting a basecase analysis, climate change, mine development plans, and regional development plans. The basecase scenario is a series of outcomes derived with no consideration for future climate change. The importance of the basecase is that it represents the null condition and thus provides a context for comparing the relative impact of different climate change scenarios (the focus of subsequent project activities). The basecase scenario was the main focus of the work conducted in Phase I, and is comprised of a dendrochronology study of the relationship between climate and tree growth in the sub-boreal region that encompasses oil sands mining, an aspatial analysis of habitat suitability for 10 wildlife species in relation to reclamation activities on the Kearl Lake mine, and a risk analysis of the potential for development of water stress in young reclamation plantations at the Kearl Lake mine. The report begins with an introductory chapter that defines core concepts and project objectives. Dendrochronology The dendrochronology work examined the relationship between climate and tree growth (specifically ring width) for four species (white spruce – Picea glauca, black spruce – Picea mariana, jack pine – Pinus banksiana, and trembling aspen – Populus tremuloides) in the sub-boreal forests of western Canada (Alberta and Saskatchewan). A review of on-line and literature sources was used to identify tree core collections from the region. A total of 29 chronologies were identified that matched a set of suitability criteria: 18 chronologies for white spruce, 8 for jack pine, 2 for black spruce and 1 for trembling aspen. In addition, 9 aspen chronologies were analyzed from cores collected within the region. Each core series was used to date tree rings by year of growth and to create master chronologies of ring width over the previous 75 years (1935 to 2009). Residual chronologies were generated by standardizing and detrending master chronologies to remove non-climate-related influences on growth. These residual chronologies were then correlated to one or more of 25 climate-related variables derived from climate records obtained from nearby weather stations. Results indicate that radial growth of white spruce was limited by current year water stress; significant relationships were found between radial growth and growing season precipitation and summer temperatures. Similar results were found for jack pine, but no conclusive results were found for trembling aspen or black spruce. Subsequent work will be required to (a) add additional data sources, particularly for aspen, and (b) to determine whether additional climate relationships may better explain ring chronologies. The full report is provided in Section 2. Habitat suitability analysis Habitat suitability indices (HSIs) were calculated from equations for 10 boreal forest wildlife species (moose, black bear, snowshoe hare, lynx, red-backed vole, fisher, Cape May warbler, ruffed grouse, pileated woodpecker, and northern goshawk) in natural forests and within reclamation plans developed as part of the Kearl Lake mine. Input values for each index were derived from output generated from the ecosystem simulation model, FORECAST. The development of each index was calculated from the initiation of reclamation through to mine closure as per practices described in the Kearl Lake Environmental Impact Assessment (EIA). It should be noted that for some species, the HSI includes parameters with a spatial component, the latter of which requires calculation of one or more landscape metrics. For present purposes, HSIs were calculated for the 10 species without including spatial metrics. In practical terms, these HSIs then represent the most optimistic scenarios for habitat development since the inclusions of spatial metrics only serves to reduce habitat suitability (though in some cases, the HSI may remain unchanged). Specific objectives were as follows: • Review of habitat suitability models that may be applicable to Alberta boreal forests. • Identify variables used in the habitat suitability models that can be simulated with the FORECAST model. • Simulate the reclamation prescriptions described in the Kearl Lake EIA documents with FORECAST and generate output suitable for populating each habitat suitability model. • Generate habitat suitability indices (HSIs) for 10 wildlife species (identified from the review) on the Kearl lake mine site and compare and contrast the temporal development of habitat from reclamation initiation to mine closure. Conclusions were: 1. There is a 37-year window following mine operation when upland habitat suitability is very poor on the mine footprint (an area that encompasses almost 30,000 ha). 2. Habitat suitability recovers relatively quickly thereafter; 50 years after mine operation, 4 out of 10 species have a 100 % suitability index, and this increases to 9 out of 10 species 55 years after mine operation. 3. The overall quality and pattern of recovery in habitat suitability depends on how much upland is reclaimed relative to the original (pre-mining) landscape. 4. Deviations in the post-mining distribution of ecosite phases relative to the pre-mining landscape could have significant implications for the habitat suitability of particular species, either positively (more habitat is created) or negatively. 5. The broad variation among species in their HSI values suggests that reclamation practices could be targeted towards the habitat requirements of one particular wildlife species by preferentially reclaiming more favourable ecosite phases. Conversely, a broad range of ecosite phases is necessary to promote a higher degree of biodiversity on the reclaimed landscape. 6. When habitat recovery rates on reclaimed sites are considered in conjunction with the overall mine footprint, it suggests that the negative impact of the operation is not trivial with respect to habitat loss. The full report is contained in Section 3. A risk analysis of the potential development of water stress in young reclamation plantations The development of ecologically viable reclamation strategies and methodologies in the oil sands region can be a difficult undertaking considering the logistical challenges of constructing soil covers capable of providing both the hydrological and nutritional characteristics required for the establishment of self-sustaining, productive forest ecosystems. To examine the potential for the development of water stress in proposed reclamation plantations within the Kearl Lake mining area, a risk analysis was conducted for different species and ecosite combinations using the stand-level forest hydrology model ForWaDy. The risk analysis was designed to evaluate the probability of high levels of water stress developing in young plantations of white spruce, trembling aspen, and jack pine established on different ecosites as a function of soil texture and slope position. Each species and soil type combination was simulated for a 25-year period using historical climate data from the Fort McMurray weather station. Annual summaries of simulated water stress (expressed as a Transpiration Deficit Index; TDI) during the growing season were used to derive probabilities of exceeding a range of water stress thresholds. Spruce was the species most likely to experience high TDI levels (greater than 0.3). In addition, it was the only species to reach TDI levels greater than 0.6 during the 25-year simulation period. Jack pine, in contrast, was the least likely to experience high TDI levels and did not exceed levels of 0.5 during any year; the remaining species were intermediate between the spruce and pine. The probability of exceeding TDI thresholds was consistently greater in an a-b ecosite grouping (representing dry, nutrient poor sites) relative to a d-e grouping (moist, nutrient-rich sites). Differences between the two ecosite groupings were relatively small, however. The difference would have been greater if not for the 50 cm peat layer that is applied to each site as a rooting substrate, and which alone constitutes 70% to 80% of the water holding capacity of the total soil profile. The probabilities reported here are based on the simulated response of the tree–soil combinations to the past 25 years of climate data (1982 - 2006). These years reflect the current climate but are not likely to be representative of future climate conditions predicted for the region from Global Circulation Models. An exploration of the impact of climate change on water stress and its implications for overall growth and the associated development of structural habitat elements will be conducted in Phase II of the project. The full report is contained in Section 4. The report concludes with a brief description of the next steps in the project.
Date created
2010/11/30
DOI
doi:10.7939/R3M32ND0G
License information
Creative Commons Attribution 3.0 Unported
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