Latest research news in modeling of ecological interactions:
Nicolau, J.L. 2012. The effect of winning the 2010 FIFA World Cup on the tourism market value: The Spanish case. Omega Volume 40, Issue 5, October 2012, Pages 503-510... >> more
Bila, J. et al. 2011. Qualitative modeling and monitoring of selected ecosystem functions. Ecological Modelling, Volume 222, Issue 19, 10 October 2011, Pages 3640-3650... >>more
Freedman et al. use matrix population models to evaluate the relative importance of different vital rates to population growth for female black bears... >> more
Bert, F.E. et al. 2011. An agent based model to simulate structural and land use changes in agricultural systems of the argentine pampas. Ecological Modelling, Volume 222, Issue 19, 10 October 2011, Pages 3486-3499... >> more
Zhao, L. et al. 2012. Dynamic pricing in the presence of consumer inertia. Omega, Volume 40, Issue 2, April 2012, Pages 137-148...>> more
Welcome to Ecoremus! A site that focuses on systems thinking and forecasting future trends of complex systems. I specialize in systems mapping and simulation modelling that assist in solving complex issues such as resource optimization, resource allocation, multiple scenario analysis, testing alternative solutions, and organizational structure. My work addresses topics is variety of areas such as natural resources and labour. Some of my most recent models include REMUS, SeekSMART, a resource optimization tool, and Force, a labour force simulator.
Learn how my simulation models: REMUS, REMUS Student, and SeekSMART can be useful in your land use and policy planning projects, education, research, conservation and ecosystem management. A short 2-page brochure provides basic information.
REMUS is designed as a comprehensive model for assessing population dynamics of wildlife populations in response to forage resources (including habitat management), predation, harvest, land use and industrial impacts. It can be applied to any location in the temperate zone. REMUS has been used in several practical situations and s copyrighted under CIPO.
2013: My research paper “What elk, wolves and caterpillars have in common—The perfect forager theorem” has been published in the Open Journal of Ecology.
2011: Recommendations for planning and policy, based on REMUS simulations presented at The Wildlife Society International Conference in Kona, Hawaii: Weclaw, P. 2011. Where Science and Policy Should Reward Each Other: Conservation of Endangered Species.
2011: Based on REMUS simulations new recommendations for landscape planning and wildlife management in Western Alberta have been formulated in a recent research paper in Rangifer, Special Issue No. 19: Smith, K.G., Hubbs, A., Weclaw, P., Sullivan, M., McCutchen, N., 2011. The West Central Alberta Woodland Caribou Landscape Plan: Using a Modeling Approach to Develop Alternative Scenarios. Rangifer Special Issue No. 19: 103–118.
2010: Importance of scientific concepts in practical conservation of endangered species was illustrated in a presentation at an International Congress for Conservation Biology, in Edmonton, Alberta: Weclaw, P., Hubbs, A. 2010. The science behind successful conservation – modeling population dynamics of an endangered species in a changing world.
2009: SeekSMART and its findings presented at TWS International Conference in Monterey, California: Weclaw, P., Hudson, R.J. 2009. Why large herbivores are not slaves to the Marginal Value Theorem.
2008: Colorado Collage uses REMUS as an educational tool.
2007: REMUS recommendations presented to the West Central Caribou Landscape Planning Team
2007: REMUS Student released. This is an extremely simplified version of the model. The intend is that students follow lab handouts and build this model during lab sessions themselves. This allows the students to understand the system and conduct a number of sensitivity analyses. Because of the limited time that students have in the lab, simplicity is the main objective for this version of the model and this is why some parameters are not supported by scientific literature in this version. The purpose is to show trends instead of specific values. Please contact me to obtain a copy of the student version of the model
2007: West Central Caribou Landscape Planning Team uses REMUS to address predation and other management issues, in conjunction with other modeling tools.
2005 - 2006: REMUS used as an educational tool in widlife ecology class ENCS 476, at the University of Alberta
2004: the paper Weclaw P., Hudson, R.J. 2004. Simulation of conservation and management of woodland caribou. Ecological Modelling 177(1-2): 75-94 is now available on-line. This paper describes the model in details, discusses its uses and validates the outputs of the model based on actual population trends of woodland caribou reported from different locations.
If you are a wildlife manager, policy maker, consultant, university professor, or student you will be interested in exploring REMUS. On this website you will find detailed information on how REMUS works, its internal mechanisms and references used in the model building process. You will also learn how to run simulations, adjust specific conditions you want to test and explore. On this website you can find out how to adjust and interpret simulation outputs and what the limitations of REMUS are.
This website is being updated on a regular basis. Visit it again to find more information on computer modeling
Designed and maintained by Piotr Weclaw
copyright by Piotr Weclaw 2011