Effects of Soil Parameters on Aboveground Net Primary Production in Meadow Rangelands in Fandoghlou Region of Namin County, Ardabil Province

Authors

  • GHorbani, A. 1. Department of Natural Resources, Faculty of Agriculture and Natural Resource, University of Mohaghegh Ardabili, Ardabil, Iran.
  • Hashemi Majd, K. 2. Department of Soil Science, Faculty of Agriculture and Natural Resource, University of Mohaghegh Ardabili, Ardabil, Iran.
  • Hassanzadeh Kuhsareh2, E. 1. Department of Natural Resources, Faculty of Agriculture and Natural Resource, University of Mohaghegh Ardabili, Ardabil, Iran.
  • Moameri, M. 1. Department of Natural Resources, Faculty of Agriculture and Natural Resource, University of Mohaghegh Ardabili, Ardabil, Iran.
  • Pournemati, A. 3. Department of Natural Resources, Faculty of Agriculture and Natural Resources, University of Gorgan University of Agriculture Science and Natural Resources, Gorgan, Iran.
Abstract:

In this study, the effect of some soil parameters on the life forms and total aboveground net primary production (ANPP) in meadow rangelands in Fandoghlou region of Namin county in Ardabil Province were investigated. ANPP in 180 plots of 12 by harvesting and weighting method were measured. Eighteen soil samples were collected along transects. Some physical and chemical attributes of the soil were measured by standard methods. The relationship between these parameters and ANPP was performed using multivariate regression (enter) method. To determine the effects of important soil parameters on ANPP variation, principal component analysis (PCA) was used. The results of regression analysis showed that electrical conductivity (EC), magnesium (Mg), spreadable clay (WDC), volumetric moisture content (VM), organic carbon (OC), soluble potassium (KS), exchangeable potassium (Kexch), sodium (Na) and phosphorus (P) were the effective parameters on the life forms and total ANPP (p<0.01). The accuracy of obtained equations for grasses, forbs and total ANPP were calculated 79, 76 and 70%, respectively. Moreover, results of PCA showed that soil parameters justify 84.52 percent of total ANPP variation and in comparison, with regression results with 28% it provides better results.

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Journal title

volume 23  issue 3

pages  95- 107

publication date 2019-12

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