Market-based credit trading has been used successfully over the last decade to reduce certain industrial air pollutants. A more recent application addresses climate change by reducing green house gases (GHG) from certain industrial sectors. This Study investigates the potential of using this market-based approach of credit trading as a means to achieve grizzly bear habitat conservation. Credit trading, eco-currency landscape accounting, and grizzly bear habitat modeling, are examined to determine if it is feasible to integrate these three concepts, resulting in a grizzly bear habitat credit-trading system. This system would be an innovative, market-driven method of conserving habitat. An existing GHG credit-trading scheme used by BP Energy Company (BP) is used as a model. The use of the eco-currency concept embodied within the U.S. Oil Pollution Act is evaluated for application to grizzly bear conservation. Current modeling approaches using both habitat effectiveness and resource selection functions are proposed as the eco-currency unit to be used in a hypothetical habitat accounting system. The ALCES model is also briefly discussed. Conclusions and recommendations are made regarding the potential use of this approach in the Yellowhead Grizzly Bear Conservation Strategy under development in West-central Alberta, Canada. A recommendation as to the applicability of this approach by a single corporate entity such as BP is also made.