BCIA News - Kootenay Boundary
| Kootenay Boundary | |
| CMI - Soil Bioengineering | |
CMI-Soil Bioengineering September 15-16, 2010 Instructor: David Polster, Polster Environmental Services Soil bioengineering is an applied science that uses live plant materials to perform an engineering function such as slope stabilization, soil erosion control, or seepage control. This two day course will focus on soil bioengineering techniques and options involved in restoration and reclamation of damaged ecosystems using a combination of structural materials, vegetative cuttings and other specialized methods. The first day is a classroom session. The second day is a hands-on field day. ** In British Columbia, this course has been approved for 4 Continuing Education credits in pest management for people holding an Industrial Vegetation pesticide applicator certificate. For more details, course outlines, and to register, please visit: |
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| CMI - Ecological Approaches to Invasive Plant Management | |
Columbia Mountain Institute - Ecological Approaches to Invasive Plant Management September 13-14, 2010 Instructor: David Polster, Polster Environmental Services This two day course will present an ecological approach to invasive plant management, where vegetation management systems are designed to work with natural successional processes. The first day is a classroom session, and the second is a field day with the participants evaluating sites. This is an intensive, content-heavy course. A course manual is supplied. ** In British Columbia, this course has been approved for 6 Continuing Education credits in pest management and 2 Continuing Education credits in application technology, for people holding Industrial Vegetation pesticide applicator certificates. ** In Alberta, this course has been approved for 6 credits in pest management and 2 credits in application technology, in the landscape applicator class of certificate. For more details, course outlines, and to register, please visit: http://www.cmiae.org/Events This course does not include instruction on the use of pesticides. |
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| Public Participation Skills for Natural Resource Managers | |
Public Participation Skills for Natural Resource Managers Registration, course outlines, and more information is available at our website: http://www.cmiae.org/Events |
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| CMI's Trend Analysis and Environmental Impact Assessment | |
THIS COURSE IS FULL. We will run the course again as demand warrents, so please let us know if you are interested. Send a note to office@cmiae.org . Instructor: Dr. Carl Schwarz, Department of Statistics and Actuarial Science, at Simon Fraser University (http://www.stat.sfu.ca/~cschwarz/) For more details, course outlines, and to register, please visit http://www.cmiae.org/ Environmental monitoring often looks at trends over time. Environmental impact assessments want to know if trends over time differ between control and impact sites. Statistical methods for the analysis of trends over time use many of the same methods as the analysis of experimental data (e.g. ANOVA, regression) but must now deal with problems such as autocorrelation and process error. This course is offered as a two OR three day course. If you wish to leave after two days you would have the step/regression trend and the simple Before and After Controlled Impact design (BACI) components of the course. The third day will be devoted to the more complex BACI experiments. |
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| CMI's Statistics for Biologists – A Refresher Course | |
Instructor: Dr. Carl Schwarz, Department of Statistics and Actuarial Science, at Simon Fraser University (http://www.stat.sfu.ca/~cschwarz/) For more details, course outlines, and to register, please visit http://www.cmiae.org/ “The earth is flat (p<0.5).” Many scientific studies are full of statistical jargon, tables of averages and other statistics, and results of statistical tests which purport to prove a certain hypothesis. The purpose of this course is to review some of the basic sampling and experiment designs used by ecologists and to understand exactly what can and cannot be extracted from a set of data. With the advent of modern statistical packages, the analysis of data is fairly easy, but it is far too easy to get nonsense results. This three day course will also review common pitfalls in the analysis of data. |
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