A Minimum Set of Soil Indicators for the Semi-Arid Rangeland Productivity Assessment
| Autor: | Seyed Ata Rezaei, P Fatehi, Farhad Khaksarian, Kazem Saedi |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Minimum Data Set
Multivariate statistics Biomass (ecology) Ecology Soil science 04 agricultural and veterinary sciences 010501 environmental sciences 01 natural sciences Soil quality Arid Data set Statistics Exclosure 040103 agronomy & agriculture 0401 agriculture forestry and fisheries Environmental science Rangeland Ecology Evolution Behavior and Systematics 0105 earth and related environmental sciences |
| Zdroj: | Polish Journal of Ecology. 65:14-23 |
| ISSN: | 2450-1395 1505-2249 |
| DOI: | 10.3161/15052249pje2017.65.1.002 |
| Popis: | An approach has been adopted in order to select the most representative and predictive indicators as minimum data set (MDS) for the assessment of rangeland soil quality. Large data sets were employed for the high hill rangeland in the Saral region, Kurdistan province, west of Iran. The correlations between soil properties and plant growth in various landscape units were investigated and interpreted based on statistical analyses. Multivariate statistical techniques were used to determine the minimum set of indicators among chemical and physical variables, as well as soil surface indices of Landscape Function Analyses (LFA) approach that account for at least 70% of the variability in the whole data set of aboveground plant biomass production among land units. The MDS was selected for its ability to predict soil productivity, as site potential of a long-term rangeland exclosure. The efficacy of the chosen MDS was evaluated by performing multivariate regressions of the MDS against each of the plant g... |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|