首页|Earthworm Abundance and Habitat Characteristics A Quasi-Poisson Model
Earthworm Abundance and Habitat Characteristics A Quasi-Poisson Model
扫码查看
点击上方二维码区域，可以放大扫码查看
原文链接
NSTL
Poisson regression models are the most reasonable regression models while the observation is a count data. In many cases where ecological data are analyzed, the normality assumption is often violated and as such fitting the normal linear models to ecological data is not at all the usual way. There are variety of other methods which are conflicting in themselves and so choosing an appropriate one is another point of discussion. In this paper, the abundance of earthworm species is investigated throughvarious soil and environmental characteristics in three subtropical forest ecosystems of Manipur, India. Counts of different earthworm species are being observed in three subtropical forest ecosystems of Manipur; viz., Mixed Reserved forest, Disturbed forest and Plantation forest during the 12 months of the year. The count of species of a particular type of earthworm observedduring the 12 months of the year is regressed on 9 soil characteristics. Three random effects Quasi-Poisson models consisting of continuous predictor variables are fitted separately for the three different sites. The main effects models and interaction effects model are separately interpreted for all the three sites. Adequacy of fitted models are checked by using diagnostic plots. Soil temperature and soil moisture are two dominant characteristics which significantly influence the abundance of earthwormin all three sites. Carbon, nitrogen and phosphorus are also significant predictors of earthworm abundance. Some interaction effects also contribute to species abundance.
Ksh. Anand Singh、M. Arun Singh
展开 >
Department of Statistics, Manipur University,Imphal, India 795003
NSTL
