Gholami Baghi, N., Sepehri, A., Barani, H., Abdol-Rasoul Mahini, S. (2013). Estimating Plant Biomass by Using Non-Destructive Parameters in Arid Regions (Case Study: Inche-Broun Winter Rangelands, Golestan, Iran). Journal of Rangeland Science, 3(4), 295-301.
Naghmeh Gholami Baghi; Adel Sepehri; Hossein Barani; Salman Abdol-Rasoul Mahini. "Estimating Plant Biomass by Using Non-Destructive Parameters in Arid Regions (Case Study: Inche-Broun Winter Rangelands, Golestan, Iran)". Journal of Rangeland Science, 3, 4, 2013, 295-301.
Gholami Baghi, N., Sepehri, A., Barani, H., Abdol-Rasoul Mahini, S. (2013). 'Estimating Plant Biomass by Using Non-Destructive Parameters in Arid Regions (Case Study: Inche-Broun Winter Rangelands, Golestan, Iran)', Journal of Rangeland Science, 3(4), pp. 295-301.
Gholami Baghi, N., Sepehri, A., Barani, H., Abdol-Rasoul Mahini, S. Estimating Plant Biomass by Using Non-Destructive Parameters in Arid Regions (Case Study: Inche-Broun Winter Rangelands, Golestan, Iran). Journal of Rangeland Science, 2013; 3(4): 295-301.
Estimating Plant Biomass by Using Non-Destructive Parameters in Arid Regions (Case Study: Inche-Broun Winter Rangelands, Golestan, Iran)
1Ph.D Student, Rangeland Ecology and Management Department, Agricultural Sciences and Natural Resources of Gorgan University
2Associate Professor, Rangeland Ecology and Management Department, Agricultural Sciences and Natural Resources of Gorgan University
3Environment Department, Agricultural Sciences and Natural Resources of Gorgan University
Abstract
Plant biomass is an important factor for determining arid and semi-arid rangelands capacity. Due to the lack of proper and annual sampling of rangelands, there are no suitable data to determine biomass, range condition and proper range management operations. Plant biomass is one of the measurable attributes that can be assessed in rangeland studies. Since the clip and weight method is destructive and time-consuming, green biomass was estimated by using dimensional parameters (Plant Allometry) including canopy cover, length and width of diameters. Field sampling was done using seventy 2×2 m quadrats along five 100 m transects. The data were analyzed by stepwise regression. The results showed that the fresh and dry biomass showed significant positive correlations with canopy cover, the length and width of diameters of Halocnemum strobilaceum shrub (p<0.05). The results of stepwise regression showed that just canopy cover and diameter length were remained in the final model, so that 80.2% of biomass variations were explained by canopy cover and diameter length.
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