FANR 3000 1st Edition Lecture 13Outline of Last Lecture I. Capture-Mark-RecaptureII. CMR Assumptions III. Abundance Estimation Outline of Current Lecture I. What is our sample unit?II. Identify the scaleIII. Types of sampling Current LectureI. What is our sample unit?- Sample: the portion/subset of the population that we actually count or measure- Sample unit: the actual data point; one of the entire sample o We characterize a population by samplingo Key assumption= the information obtained from the sample reliably reflects the population - The sample unit (n) depends on the question you’re askingo Important that the sampling effort be representative of the population as a whole II. Identify the scale- Identify population and samples- Use repeated measures to increase accuracy- The mean of repeated measure becomes one sample pointo Use multiple sample points together for actual analysisIII. Types of sampling- Simple random sample- taking a random sample of n unites from apopulation of size N A sub-set of individuals selected from a larger set Each individual is chosen entirely by chance These notes represent a detailed interpretation of the professor’s lecture. GradeBuddy is best used as a supplement to your own notes, not as a substitute. Advantages: minimum knowledge of population, unbiased,simplest and straight-forward  Disadvantages: cost-prohibitive, lower accuracy - Systematic sample- sampling every kth unit from a population Removes biases Each individual is chosen entirely by the number in which they occurred- Stratified sample- dividing the population into non-overlapping blocks (strata) and taking a random sample within strata  Takes advantage of the fact that there are often distinct subgroups within the population  Decreases in