|Year||Title (Author, Description)||File Download|
FOREST RESERVES ACT
Government of Alberta
Details of the Forest Reserves Act.
|Contact ALCES for Government of Alberta, 2007|
Synthesis of Habitat Models used in the Oil Sands Region
Judy E. Muir, M.Sc., R.P.Bio. Virgil C. Hawkes, M.Sc., R.P.Bio., Krysia N. Tuttle, M.Sc. and Tony Mo
This project assessed the current state of habitat models used in oil sands region EIA and closure planning to meet the following objectives: 1. Determine which habitat models are used in EIAs and closure planning, and how these models were used; 2. Determine what linkages exist between the habitat model predictions in the EIAs and closure plans; 3. Determine which habitat models have been validated, and of these, describe and evaluate the validation procedures that were used on each model with recommendations for improvement if needed; and 4. Recommend procedures to validate non-validated models. These four objectives were addressed through the completion of four tasks: 1. Review and summarize EIA species habitat models used in the oil sands regions for Environmental Impact Assessments (EIAs) for oil sands project applications and for other projects such as wildlife habitat mapping. 2. Review and summarize how regional wildlife habitat mapping data, EIA habitat model data, and habitat models, are used to develop oil sands closure plans conducted by SEWG or for the Lower Athabasca Regional Plan (LARP) 3. Summarize the validation methods and status of existing validated models 4. Provide recommendations for validation procedures of non-validated models
|Contact ALCES for Judy E. Muir, M.Sc., R.P.Bio. Virgil C. Hawkes, M.Sc., R.P.Bio., Krysia N. Tuttle, M.Sc. and Tony Mo, 2011|
Relationships Between Stand Age, Stand Structure, and Biodiversity in Aspen Mixedwood Forests in Alberta
J.B. Stelfox (editor)
Resource managers and the environmental community are concerned that intensive clearcut logging of Alberta's aspen-dominated boreal mixedwood forests at 60–70 year rotations may alter the age class structure of the forest landscape and result in a change in forest structure and biota. In response to these concerns, we described forest structure and composition of plant and animal communities in young (20–30 years), mature (50–65 years) and old (120+ years) aspen mixedwood stands of fire origin in Alberta. The information collected in this study will serve as a reference against which structure and biota in harvested forests can be compared.
|Contact ALCES for J.B. Stelfox (editor), 1995|
Science for a Changing Far North. The Report of the Far North Science Advisory Panel
The Far North Science Advisory Panel
This report describes the vast and largely intact ecological systems of the Far North, and recommends a conservation-matrix approach for land use planning. It recommends landscape-level planning, with benchmark areas and specific features of interest set aside from development, while other areas are designated for active management, and the landscape overall is planned for continuity and resilience of ecological function. Adaptive management provides a means of evaluating management strategies as climate change and economic development proceed. It will require sustained commitment to the collection and sharing of information about the Far North, including scientific and aboriginal traditional knowledge.
|Contact ALCES for The Far North Science Advisory Panel, 2010|
Social-Ecological Thresholds in a Changing Boreal Landscape: Insights from Cree Knowledge of the Lesser Slave Lake Region of Alberta, Canada
Parlee, B. L., K. Geertsema, and Lesser Slave Lake Indian Regional Council
Drawing on the traditional ecological knowledge (TEK) of the Lesser Slave Lake Cree, this paper shares understanding of how resource development has affected water, fish, forests, and wildlife as well as the well-being of Cree communities in the Lesser Slave Lake region of Alberta, Canada. In addition to descriptive observations of change, the narratives point to social-ecological thresholds or tipping points in the relationship of Cree harvesters to local lands and resources. Specifically, the study speaks to the echoing effects of ecological loss and degradation on traditional livelihood practices over the last 100 years highlighting the complexity of cumulative effects as well as the challenges of balancing resource development in the region with alternative land uses including those valued by Alberta’s Aboriginal peoples.
|Contact ALCES for Parlee, B. L., K. Geertsema, and Lesser Slave Lake Indian Regional Council, 2012|
Scenario Analysis to Identify Viable Conservation Strategies in Paraguay’s Imperiled Atlantic Forest
Carlson, M. J., R. Mitchell, and L. Rodriguez
A common challenge facing land use planning is assessment of the future performance of land use options. The challenge can be acute in developing regions where land use is expanding rapidly and funding and data needed for planning are scarce. To inform land use planning for a biosphere reserve located in Paraguay’s Atlantic forest region, a scenario analysis explored the relative merits of conventional and conservation agricultural practices, sustained yield forestry, and protection. Simulations compared the long-term impacts on land cover, biotic carbon, and income of the area’s residents. Ecological and economic decline were projected under conventional practices. Protection and forestry scenarios achieved only small relative improvements to ecological indicators at the cost of reduced economic performance. By addressing the underlying issue of land degradation, conservation agriculture including no-tillage was the most successful land use strategy both ecologically and economically. Identification of conservation agriculture as the most promising land use strategy prioritizes issues that must be addressed to achieve sustainability, most importantly the provision of education and funding to smallholder farmers. We conclude that scenario analysis offers a flexible strategy to integrate available data for the purpose of informing land use planning in data-limited regions such as Paraguay’s Atlantic forest.
|Contact ALCES for Carlson, M. J., R. Mitchell, and L. Rodriguez, 2011|
Deliberative Democracy, Institution Building, and the Pragmatics of Cumulative Effects Assessment
Parkins, J. R.
Cumulative effects assessment is a process of scientific analysis, social choice, and public policy development, yet the linkages among these domains are often less than transparent. Limits to scientific and technical assessment, issues of power and control of information, and episodic forms of civic engagement represent serious challenges to meaningful understanding of cumulative effects assessment and land-use planning. In articulating these challenges, I draw on case studies from Ontario's Lands for Life and Alberta's Land-use Framework to illustrate current limitations to cumulative effects assessment on public lands in Canada. As a partial remedy for these limitations, insights into a pragmatic approach to impact assessment, in contrast to decisionistic and technocratic approaches, offer a way forward through a more robust integration of scientific information, civic engagement, and public policy development. I also identify a need for longer-standing institutions that are dedicated to regional planning and cumulative effects assessment in Canada.
|Contact ALCES for Parkins, J. R., 2011|
The Challenge of Developing Social Indicators for Cumulative Effects Assessment and Land Use Planning
Mitchell, R. E., and J. R. Parkins
This paper provides a synopsis on social indicators as relevant to cumulative effects assessment and land use planning. Although much has been done to better understand the social dimensions of environmental assessment, empirical work has been lacking on social indicators that could be used either as measurable inputs or outputs for cumulative effects assessment and land use planning in different kinds of communities and regions. Cumulative effects models currently in practice often fail to address deeper issues of community and regional well-being. Against this gap, social scientists are being asked to make reliable generalizations about functional, measurable relationships between certain social indicators and land use change or scenarios. To address this challenge, the Alberta Research Council held a two-day workshop in 2005 with social scientists. The workshop resulted in a list of prioritized social indicators that could be included in cumulative effects modeling/assessments and land use planning. The top five social indicators included population growth rate, education attainment, self-assessed quality of life, equity, i.e., distribution of benefits, and locus of control. Although consensus on social indicators and social thresholds for cumulative effects models was not reached, the insight gained from the workshop will help inform future cumulative effects assessment and land use planning.
|Contact ALCES for Mitchell, R. E., and J. R. Parkins, 2011|
Modeling Cumulative Effects in Barren-ground Caribou Range: Proceedings of a Workshop in Yellowknife
Jan Adamczewski, John Nishi, Anne Gunn, Terry Antoniuk, Chris Johnson, Don Russell, Ted Blondin, All
In the early 2000s, most herds of barren-ground caribou in the Northwest Territories (NWT) were declining. The declines aroused considerable concern in NWT communities because caribou have been a resource of great value to people in the north for many generations. Possible explanations for the declines include a natural cycle, variation in weather and forage conditions, predation, hunting, disease, and industrial development. Of these factors, some are beyond immediate control, but effects due to direct human influence, like hunting and development, can be managed. The impact of development on caribou is usually not due to single roads, mines, cut-blocks or seismic lines, rather it is the cumulative effects of many habitat alterations over time that affect caribou numbers and distribution. Concerns over effects of development on caribou have been raised in environmental assessments and particularly by aboriginal groups for many years, but progress on assessing them has been limited. To be objective, assessment of cumulative effects must account for other factors, including hunting and natural variation in weather. Due to the need for overall knowledge of a caribou herd‟s complex ecology in assessing cumulative effects, biologists have turned to computer models to help track multiple variables and relationships, and to look at “what if” simulations. While these models cannot predict the future, they can help users understand how various factors interact and what likely consequences of particular management decisions might be. In the 2006-2010 NWT Caribou Management Strategy, a commitment was made by the Government of the Northwest Territories to developing a modeling approach that could assess development in its proper context of natural variation. In this report we summarized the presentations and participant responses at a public workshop held in February 2008, Yellowknife, NWT, on modeling cumulative effects in the range of the Bathurst herd. In addition, we report on progress towards a demonstration project initiated at the February 2008 workshop.
|Contact ALCES for Jan Adamczewski, John Nishi, Anne Gunn, Terry Antoniuk, Chris Johnson, Don Russell, Ted Blondin, All, 2008|
An Examination Of The Effects Of Economic Growth On Landscape Features And Processes In Southern Alberta Using ALCES
Terry Antoniuk, Brad Stelfox, and Mark Anielski
Regional-scale modelling examined the long-term cumulative effects of land-use, resource demands, and population increases on the landscape of southern Alberta. The results will help inform the project, Southern Alberta Landscapes: Meeting the Challenges Ahead (SAL), in addressing the increased use of our environment into the future. SAL was launched in 2002 as a cross-Ministry, inter-governmental, strategic planning initiative to examine sustainable development issues in southern Alberta. A Base Case Scenario, which assumed a continuation of current land use practices and business plans, was developed first as a Baseline for comparison with other scenarios. An alternate scenario was then run to test various "What-if" questions. Both scenarios used 2000 for year zero because this was the most recent year for which most data were available for the region.
|Contact ALCES for Terry Antoniuk, Brad Stelfox, and Mark Anielski, 2007|