|Course Title||Principles of Modeling for Conservation Planning and Analysis
|Description||TUITION FEES: The Cost To Learner displayed in the Course Details is an approximate amount. Please refer to the 'Class Cost to Learner' displayed in the Class Details for the specific class session you wish to attend. NCTC Standard Tuition fees are scheduled to change beginning October 1, 2012. Additional information is available at the NCTC website.
Note: Tuition is not applicable to FWS, BLM and NPS employees
Participants will acquire knowledge of the techniques and concepts of modeling for natural resources. Session topics include introductions to Modeling, Decision Analysis, Expert Systems, Ecosystem Modeling, and Spatially Explicit Models and their use in making conservation decisions. Lecture and discussions include hands-on experience with spreadsheets that illustrate the values, limitations, and appropriate applications of models.
Discover how to use models in planning for ecological and conservation biology decisions with defensible results.
Discuss the modeling process, terminology, use of deterministic and stochastic models, what to leave out of a model, scale and resolution, age or state structured models, and how to deal with uncertainty in making conservation decisions.
Learn how to use decision trees, approach decision-analysis under uncertainty, and how to incorporate a pragmatic modeling approach to data collection methods and data analysis.
Learn how to design management-oriented modeling environments using short and long-term data sets, qualitative models, how to address adaptive management, and where GIS can be useful.
Discover how to use simple models for decision-analysis.
Biologists and decision-makers involved in preparing or evaluating documents supporting decisions on conservation issues. Participants are not required to be skilled in mathematics or computing, although familiarity with how the results of models can be applied is beneficial.
|Delivery Method||Instructor Led
|Course Content Contact||JILL DEL VECCHIO; Phone: 304.876.7424; Email: firstname.lastname@example.org;
|Extracted from DOI LEARN on||9/2/2014 4:04:09 AM