By Byron K. Williams
Analysis and administration of Animal Populations offers with the procedures excited about 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 improvement of sound administration judgements. The ebook synthesizes and integrates in one quantity the tools linked to those subject matters, as they practice to ecological evaluation and conservation of animal populations.
- Integrates inhabitants modeling, parameter estimation and decision-theoretic ways to administration in one, cohesive framework
- Provides authoritative, cutting-edge 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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Extra info for Analysis and Management of Animal Populations
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. The explanatory power of a cause results from the ability to entail many, often apparently disparate, phenomena under its rubric.
However, it differs from Popper's in at least one important feature, namely, the procedure for comparing hypotheses against data. The Popperian model describes a process in which a hypothesis H is tested by experiment to determine its acceptance or rejection, with hypothesis rejection in the event of nonconformance to the evidence, and provisional acceptance otherwise, pending further evidence. The process then is repeated with another hypothesis H', with evidence from another critical experiment leading to acceptance or rejection of H' depending on conformance with experimental data.
The causal linkage between a prior condition and a subsequent effect can be described in terms of the logic of material implication (Copi, 1982). The expression A --~ B describing material implication is taken to mean However varied the practice of animal ecology, a common feature is the comparison of predictions, deduced from biological hypotheses, with data collected pursuant to the comparison. Much has been written about the testing of biological/ecological hypotheses (Romesburg, 1981; Hurlbert, 1984; Peters, 1991), and specifically about sampling designs and statistical inferences for hypothesis testing (Green, 1979; Hairston, 1989; Skalski and Robson, 1992).
Analysis and Management of Animal Populations by Byron K. Williams