A Technique for Analysis of Utilization-Availability Data
| Autor: | Clyde W. Neu, James M. Peek, C. Randall Byers |
|---|---|
| Rok vydání: | 1974 |
| Předmět: |
Forage (honey bee)
Ecology Null (mathematics) Validity symbols.namesake Bonferroni correction Statistics symbols General Earth and Planetary Sciences Multinomial distribution Null hypothesis Preference (economics) Ecology Evolution Behavior and Systematics Statistic Nature and Landscape Conservation General Environmental Science Mathematics |
| Zdroj: | The Journal of Wildlife Management. 38:541 |
| ISSN: | 0022-541X |
| DOI: | 10.2307/3800887 |
| Popis: | A statistical technique evaluating preference or avoidance of a given habitat or forage spe- cies is presented, using moose (Alces alces) distribution patterns in an area including the Little Sioux Burn of northeastern Minnesota as an example. The technique is used in conjunction with a chi-square analysis, after the chi-square has led to the rejection of the null hypothesis that a set of observations follows an "expected" occurrence pattern. The technique involves the use of a Bonferroni z statistic which may be used in estimating whether a specific observation occurs more or less frequently than expected. The technique provides a refinement of quantitative methods which heretofore have not been used to test a multinomial distribution applicable to the example. J. WILDL. MANAGE. 38(3):541-545 The necessity of determining preference or avoidance of a given habitat or plant species in terms of its availability has long been recognized (Glading et al. 1940, Bell- rose and Anderson 1943). A useful means of determining the statistical validity of utilization-availability data is a chi-square test of the hypothesis that animals use habi- tat or forage species in proportion to their availability to the animal, a multinomial distribution (Ostle 1963:124). A problem in using this test arises when the null hy- pothesis is rejected and a significant dif |
| Databáze: | OpenAIRE |
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