Read e-book online Analysis and Management of Animal Populations PDF

By Byron K. Williams

ISBN-10: 0127544062

ISBN-13: 9780127544069

Analysis and administration of Animal Populations bargains with the techniques taken with making educated judgements concerning 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 applying of those estimates and types to the improvement of sound administration judgements. The ebook synthesizes and integrates in one quantity the equipment linked to those issues, as they follow to ecological review 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 methods 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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The impressive success of investigations using the Tribolium model highlights the value of investigation that involves the interactive use of mathematical and empirical models. , 1973; Tracy, 1976). The mechanical model of Pearson (1960) can be viewed as one kind of physical model and is certainly one of the most interesting models ever developed for use in animal population ecology. Pearson's model had the appearance of a large pinball machine, with steel balls (representing individual animals) released onto an incline board.

Thus, the evidence O in argument (2) confirms prediction P, the consequent of {T} + H --4 P. The confirmation of P in turn is held to confirm the amended theory {T} + H. Because {T} + H is held to be true, the component H in particular is presumed to be confirmed. This argument is common in scientific investigation, including research in population biology. Unfortunately, it is logically invalid. Thus, the confirmation of P and the truth of {T} + H--4 P cannot be used to assert the truth of H. Simply put, evidence supporting a hypothesis is logically insufficient to confirm that hypothesis: factors other than H might well lead to confirmation of the prediction P, independent of the truth or falsity of H.

5. Comparison of Predictions against Data Fifth, predictions from the amended theory are compared to observations O from the field or laboratory. This comparison is used to determine the acceptability of the amended theory and hence the acceptability of the hypothesis H. , if the predicted results of {T} + H are in fact observed, then the investigation provides evidence to confirm H. If O does not conform to P, then the evidence disconfirms H. Statistical testing procedures play a crucial role in the process of hypothesis confirmation.

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Analysis and Management of Animal Populations by Byron K. Williams


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