By Byron K. Williams
Analysis and administration of Animal Populations offers with the methods occupied with making proficient 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 types to the improvement of sound administration judgements. The booklet synthesizes and integrates in one quantity the equipment linked to those topics, as they practice to ecological evaluation and conservation of animal populations.
- Integrates inhabitants modeling, parameter estimation and decision-theoretic methods to administration in one, cohesive framework
- Provides authoritative, cutting-edge descriptions of quantitative methods to modeling, estimation and decision-making
- Emphasizes the position of mathematical modeling within the behavior of technological know-how and management
- Utilizes a unifying organic context, constant mathematical notation, and diverse organic examples
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Additional resources for Analysis and Management of Animal Populations
Empirical and decision-theoretic uses typically require both scientific and statistical models, whereas theoretical uses are largely restricted to scientific models. 1. Theoretical Uses Here we define "theoretical" model use as the investigation of system responses that are possible under specific hypotheses. Model uses in this context do not entail a comparison of model predictions with data or observations, and indeed, the lack of a confrontation between predictions and data is the distinguishing feature of theoretical model use.
Under this hypothesis the annual mortality rate increases approximately linearly in response to increases in harvest rate. 2. The hypothesis of compensatory mortality asserts that harvest mortality may be compensated by corresponding changes in other sources of mortality. Thus, increases in harvest rate have no effect (up to some critical level c of harvest) on the annual mortality rate. In the standard formulation of the compensatory hypothesis, harvest rates beyond c result in an approximately linear increase in annual mortality.
The fallacy of affirming the premise of an implication based on its conclusion is an example of the fallacy of false cause, known as affirming the consequent (Copi, 1982). Scientific investigation thus faces an asymmetry in the confirmatory role of experimental or field evidence. On the one hand, a hypothesis can be disconfirmed by evidence contrary to prediction; on the other, a hypothesis cannot be (logically) confirmed by evidence supporting prediction. It is in the context of this asymmetry that scientific hypotheses are held by some to be meaningful only if they are theoretically amenable to disconfirmation (Popper, 1968).
Analysis and Management of Animal Populations by Byron K. Williams