By William L. Thompson

ISBN-10: 0080536948

ISBN-13: 9780080536941

ISBN-10: 0126889600

ISBN-13: 9780126889604

This e-book is written to function a common reference for biologists and source managers with fairly little statistical education. It specializes in either uncomplicated ideas and functional functions to supply pros with the instruments had to verify tracking tools which may become aware of traits in populations. It combines classical finite inhabitants sampling designs with inhabitants enumeration techniques in a unified process for acquiring abundance estimates for species of curiosity. The statistical info is gifted in functional, easy-to-understand terminology.

- Presented in sensible, easy-to-understand terminology
- Serves as a normal reference for biologists and source managers
- Provides the instruments had to observe developments in populations
- Introduces a unified strategy for acquiring abundance estimates

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**Additional resources for Monitoring Vertebrate Populations**

**Example text**

How many different simple random samples of size 2 are contained in this frame? 1a). This method for determining the total number of possible samples is fine for very small frames, but quickly becomes tedious, and impossible without a computer or calculator, as frames get larger. Luckily, there is a formula based on counting rules from probability to compute the number of simple random samples of size u from U plots. uI {U-ii)\u\' 22 1/Basic Concepts The term on the left side of the equation is read as ''L^ choose w" and the term on the right side is its mathematical equivalent for computing the actual value; !

The only difference is the amount of data collected within chosen plots. 10 A simple random sample of five plots selected by means of randomly chosen x~y coordinates, which are represented by the black dots. The two arrows indicate "gaps" where placement of subsequent plots cannot occur. density, or an index to these two, require a count of individuals. Techniques for acquiring these counts will be discussed in Chapter 3. At present, we will assume that both a species' occurrence and numbers on a plot can be assessed without error.

We will use the terms point estimate and parameter ^ Unfortunately, sampling notation is not consistent between statistical texts and fish and wildlife literature. Statistical texts often use N to denote total number of sampling units, whereas fish and wildlife papers often use N to represent total number of animals (in the present example, elements within sampling units). Therefore, we have decided to remain consistent with fish and wildlife literature and keep N for number of animals. Further, we will use U (for "unit"') to denote total number of sampling units in a sampling frame, and ii to represent the number of sampling units in a given sample.

### Monitoring Vertebrate Populations by William L. Thompson

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