Affordable Access

The use of principal component analysis in studying physical, chemical and biological soil properties in southern caspian forests (North of Iran).

Authors
  • Kooch, Yahya
  • Jalilvand, Hamid
  • Bahmanyar, Mohammad Ali
  • Pormajidian, Mohammad Reza
Type
Published Article
Journal
Pakistan journal of biological sciences : PJBS
Publication Date
Feb 01, 2008
Volume
11
Issue
3
Pages
366–372
Identifiers
PMID: 18817157
Source
Medline
License
Unknown

Abstract

This research was conducted in Khanikan forests located in lowland of Mazandaran province (North of Iran). Eighteen profiles were dug and several chemical, physical and biological soil properties were investigated. The soil properties evaluated were soil pH, bulk density, saturation moisture content, electrical conductivity, organic carbon, total nitrogen, cation exchangeable capacity, available phosphorous, soil texture, calcium carbonate content, number and biomass of earthworms, litter carbon and litter nitrogen. Principal Component Analysis (PCA) was used to identify the variation of soil properties. PCA, a technique which reduces the dimensionality of multivariate data by removing Interco relations among variables, has a number of useful applications in forest researches. The results showed significant relationships between some soil factors with PC1 and PC2 axes, also, among different soil factors, the distribution of forest types was most strongly controlled with some soil characteristics such as acidity, bulk density, texture, phosphorous, organic carbon, total nitrogen and cation exchangeable capacity.

Report this publication

Statistics

Seen <100 times