By Byron K. Williams
Analysis and administration of Animal Populations offers with the strategies all for making educated judgements in regards to the administration of animal populations. It covers the modeling of inhabitants responses to administration activities, the estimation of amounts wanted within the modeling attempt, and the appliance of those estimates and versions to the advance of sound administration judgements. The booklet synthesizes and integrates in one quantity the equipment linked to those topics, as they follow to ecological overview and conservation of animal populations.
- Integrates inhabitants modeling, parameter estimation and decision-theoretic ways to administration in one, cohesive framework
- Provides authoritative, state of the art descriptions of quantitative techniques to modeling, estimation and decision-making
- Emphasizes the function of mathematical modeling within the behavior of technology and management
- Utilizes a unifying organic context, constant mathematical notation, and various organic examples
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Additional info for Analysis and Management of Animal Populations
4. 5. 6. 7. 8. DISCUSSION ology. Thus, the objective of this chapter is to provide a biological context for scientific methodology, and in so doing to clarify the respective roles of theory development, statistical inference, and the structures of formal logic in animal ecology. 1. C A U S A T I O N IN ANIMAL ECOLOGY Science is about the identification and confirmation of causes for observed phenomena, whereby "cause" is meant as a generic explanation of patterns observed for a class of phenomena.
2. Under reasonable conditions, the compensatory mortality hypothesis leads to a prediction that there is a negative relation between hunting mortality rates (during the hunting season) and nonhunting mortality rates (during and after the hunting season). The additive mortality hypothesis leads to a prediction that there is no such relationship. 3. The compensatory mortality hypothesis leads to a prediction that there is a positive relation between nonhunting mortality rate and population size or density at some time in the year.
This very high standard illustrates the value (and rigor) in establishing causation through experiment and helps to explain why experimental design is a near-imperative in much of biological science. 3. S C I E N T I F I C M E T H O D S A useful context for scientific method involves scientific investigation both before and during a period when it is guided by a recognized theoretical framework. Thus, in its early stages, scientific activity consists of observation guided primarily by intuition, tradition, guesswork, and perceived pattern.
Analysis and Management of Animal Populations by Byron K. Williams