Catch-effort method

The catch-effort method of estimating fish population depends on the premise that all individual fish in a sample have the same chance of being caught and that the effort made by fishermen to catch the fish is constant. This approach works best when the population is closed, when chance of capture and constancy of effort remains unchanged from sample to sample, and when there are enough fish removed so that the population shows a decline. 

Pick up almost any safety literature today and you will see an article discussing behavior-based safety. Each author has a different opinion on the use of behavior-based safety and how to implement the process. Nowhere will you find a discussion of integrating the process into the existing management system. In many cases, as the behavior-based process is presented, the process stands out like a sore thumb. Since there is such an emphasis on behavior-based safety, many managers think that this will solve all safety issues. It is important to remember that no matter how it is presented, the behavior-based process is only one element of your management system and should not stand alone. For example, there are still hazard recognition techniques, employee participation, and other types of efforts that must be used to identify hazards. You must remember that behavior-based safety does not catch all of the hazards since it focuses only on employees habits (at-risk behaviors). The JHA is the one method that can be used to help find and correct other hazards outside of behavior. Refer to Chapter 15. 

Computational efficiency and/or limitations are often determined by the choice of methods, and hence the relevant methodological study is important from a practical point of view and requires much effort to develop it. Since the relevant calculations are somewhat technical, we describe them here in an Appendix. Nevertheless, we do want to emphasize that it is possible to catch a glimpse of the deep aspects of quantum mechanical nonadiabatic dynamics in such technical details. 

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