Byron K. Williams's Analysis and Management of Animal Populations PDF

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By Byron K. Williams

ISBN-10: 0127544062

ISBN-13: 9780127544069

Analysis and administration of Animal Populations offers with the techniques interested by 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 advance of sound administration judgements. The e-book synthesizes and integrates in one quantity the equipment linked to those topics, as they observe to ecological overview and conservation of animal populations.

  • Integrates inhabitants modeling, parameter estimation and decision-theoretic methods to administration in one, cohesive framework
  • Provides authoritative, state of the art descriptions of quantitative ways 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 diverse organic examples

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Extra info for Analysis and Management of Animal Populations

Example text

This corpus, involving biological elements such as genetics, taxonomy, evolutionary principles, and ecological relationships (Hull, 1974), is operationally accepted as verified and true. A theory is noted in what follows by {T}. Every scientific discipline is founded on an operational theory, which provides a conceptual framework through which the world is observed and facts about the world are discerned. Broadly recognized examples 14 Chapter 2 Scientific Process in Animal Ecology might include the theory of relativity, electromagnetic field theory, the theory of plate tectonics in geology, thermodynamic theory, and the theory of evolution by natural selection.

Such studies can be replicated at different times and different locations, under a variety of different field conditions and different harvest strategies, with a focus on one or any combination of the predictions listed above. Each study adds evidence by which investigators can confirm or disconfirm the 16 Chapter 2 Scientific Process in Animal Ecology hypotheses. Replication and redundancy of this kind play an important role in preventing unwarranted generalizations of study results. In contrast, argument (2) above has a very different logical content.

Scientific models are used in step 2 to deduce predictions from the scientific hypothesis, whereas statistical models are used in the comparison of test results with these predictions (step 4). Advocates of this approach emphasize that the use of a critical experiment in step 3 is most likely to yield strong inferences (Platt, 1964). However, it is the single a priori hypothesis, rather than the nature of the test, that is the defining feature of this investigative approach. In the situation in which a hypothesis is rejected, there are two options (Fig.

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Analysis and Management of Animal Populations by Byron K. Williams


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