By Byron K. Williams
Analysis and administration of Animal Populations offers with the tactics eager about making trained 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 applying of those estimates and versions to the advance of sound administration judgements. The ebook synthesizes and integrates in one quantity the equipment linked to those subject matters, as they practice 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, cutting-edge descriptions of quantitative techniques to modeling, estimation and decision-making
- Emphasizes the position 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
Whether ---C ~---E. But this is logically equivalent to the assertion of necessary causation, that is, E--~ C. Under experimental control, the absence of effect E is inadequate to support a claim of causation. However, one can infer from the occurrence of E that the treatment cannot be a (necessary) cause of E. It is the coupling of inferences from both treatment and control in an experiment that confers logical rigor to designed experiments. Experimental results in which E occurs in the presence of C but not in its absence provide the evidence for necessary and suffi- 13 cient causation.
Iterative hypothesis testing and refinement as above eventually may identify a hypothesis that survives repeated efforts at falsification and consistently predicts system behaviors. Under these conditions the hypothesis then is accepted as provisionally true, in that we view it as our best approximation of reality (subject, of course, to subsequent investigation and possible refinement). 2. 1. Single-Hypothesis Approach This approach frequently is associated with the writing of Popper (1959, 1963, 1972) and the influential paper by Platt (1964) on strong inference.
It is useful to consider how these activities fit into a broader context of theory, logic, and data analysis that is definitive of scientific method- 11 12 Chapter 2 Scientific Process in Animal Ecology that affirmation of the premise A implies affirmation of the conclusion B. However, material implication is silent about tile affirmation of A given that B is affirmed. More formally, material implication establishes the equivalence of A ~ B with the assertion that either A is false or B is true.