• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Editorial Staff
    • Publication Ethics
    • Indexing and Abstracting
    • Related Links
    • FAQ
    • Peer Review Process
    • News
  • Guide for Authors
  • Submit Manuscript
  • Reviewers
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Journal of Rangeland Science
Articles in Press
Current Issue
Journal Archive
Volume Volume 9 (2019)
Volume Volume 8 (2018)
Volume Volume 7 (2017)
Volume Volume 6 (2016)
Volume Volume 5 (2015)
Volume Volume 4 (2014)
Volume Volume 3 (2013)
Issue Issue 4
Issue Issue 3
Issue Issue 2
Issue Issue 1
Volume Volume 2 (2012)
Volume Volume 1 (2011)
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)

Article 4, Volume 3, Issue 4, Autumn 2013, Page 295-301  XML PDF (2.26 MB)
Document Type: Research Original Paper
Authors
Naghmeh Gholami Baghi* 1; Adel Sepehri2; Hossein Barani2; Salman Abdol-Rasoul Mahini3
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.
Keywords
Biomass; Arid and semi-arid rangelands; Clipping and weighing method; Stepwise Regression
Statistics
Article View: 10,204
PDF Download: 9,591
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Creative Commons

Journal of Rangeland Science (JRS) is licensed under a

"Creative Commons Attribution 4.0 International (CC-BY 4.0)"

PHP webstats will only get you so far.  Upgrade to GoStats.

Journal Management System. Designed by sinaweb.