Volume 9, Issue 2 (2021)
ECOPERSIA 2021, 9(2): 69-77 |
Back to browse issues page
Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:
Sedighi F, Taheri Abkenar K, Heidari Safari Kouchi A. Analyzing the Diameter Distribution of Juniperus excelsa M. Bieb Stands of Northeast Iran, Using Probability Distribution Functions. ECOPERSIA 2021; 9 (2) :69-77
URL: http://ecopersia.modares.ac.ir/article-24-41793-en.html
URL: http://ecopersia.modares.ac.ir/article-24-41793-en.html
1- Department of Forestry, University Campus 2, University of Guilan, Rasht, Iran
2- Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh`Sara, Iran ,kmbiztaheriabkenar@gmail.com
3- Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh`Sara, Iran
2- Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh`Sara, Iran ,
3- Department of Forestry, Faculty of Natural Resources, University of Guilan, Sowmeh`Sara, Iran
Abstract: (2135 Views)
Aim: the present study aimed to analyze the diameter distribution of Juniperus excelsa m.bieb stands of northeast Iran, using probability distribution functions consider to cardinal directions.
Materials & Methods: The data have been collected from 168 sample plots of 0.1ha areas in natural juniper stands of Iran. In this study, the diameter distribution of the juniper stands has been evaluated in four main geographical aspects, using various statistical distributions. Weibull (two- and three-parameter), Gamma (two- and three-parameter), Beta, Johnson, and lognormal probability distributions have been used for modeling diameter distribution.
Findings: According to the Kolmogorov-Smirnov test, the most appropriate distribution functions in the northern, eastern, and southern slopes were the two-parameter Weibull and Johnson probability distributions western slopes, the most appropriate distribution functions were Beta and Johnson. Besides, considering Anderson-Darling’s fitting test, only lognormal distribution in the northern, eastern, and southern aspects, and lognormal and three-parameter Weibull in western aspect did not show a significant difference compared with the frequency of trees in diameter classes.
Conclusion: Generally, the results show Weibull (2p) and longermal are the most appropriate statistical distribution functions for describing the distribution of trees in the diameter classes of Juniperus excelsa in different aspects.
Materials & Methods: The data have been collected from 168 sample plots of 0.1ha areas in natural juniper stands of Iran. In this study, the diameter distribution of the juniper stands has been evaluated in four main geographical aspects, using various statistical distributions. Weibull (two- and three-parameter), Gamma (two- and three-parameter), Beta, Johnson, and lognormal probability distributions have been used for modeling diameter distribution.
Findings: According to the Kolmogorov-Smirnov test, the most appropriate distribution functions in the northern, eastern, and southern slopes were the two-parameter Weibull and Johnson probability distributions western slopes, the most appropriate distribution functions were Beta and Johnson. Besides, considering Anderson-Darling’s fitting test, only lognormal distribution in the northern, eastern, and southern aspects, and lognormal and three-parameter Weibull in western aspect did not show a significant difference compared with the frequency of trees in diameter classes.
Conclusion: Generally, the results show Weibull (2p) and longermal are the most appropriate statistical distribution functions for describing the distribution of trees in the diameter classes of Juniperus excelsa in different aspects.
Article Type: Original Research |
Subject:
Forest Ecology and Management
Received: 2020/04/3 | Accepted: 2020/05/7 | Published: 2020/10/31
Received: 2020/04/3 | Accepted: 2020/05/7 | Published: 2020/10/31
References
1. Bais S, Prashar Y. Identification and characterization of amento flavone from six species of juniperus against H2O2 induced oxidative damage in human erythrocytes and leucocytes. Res J Phytochem. 2015;9(2):41-55. [Link] [DOI:10.3923/rjphyto.2015.41.55]
2. Adams RP. Junipers of the world: The genus Juniperus. Bloomington: Trafford Publishing; 2004. [Link]
3. Asadi M. Flora of Iran: Pinaceae, taxacae, cupressaceae and ephedraceae. Flora of Iran. Tehran: Research Institute of Forests and Rangelands; 1998. [Link]
4. Ali Ahmad Korori S, Khoshneviss M, Metinizadeh M. Comprehensive Studies of Juniperus species in Iran. Tehran: Pune Publications; 2010. [Link]
5. Khoshnevis M, Matinizaded M, Shirvani A, Teimouri M. Iranian long-lived Junipers. Iran Nat. 2017;2(5):20-35. [Persian] [Link]
6. Zobeiri M. Forest inventory measurement of tree and forest. Tehran: Tehran University Press; 2000. [Link]
7. Heidari Safari Kouchi A, Moradian Fard F, Rostami Shahraji T, Iranmanesh Y. Biomass and carbon allocation of 10-years-old poplar (Populous alba L.) plantations in the south west Iran. For Res. 2017;6(2):1-13. [Link] [DOI:10.4172/2168-9776.1000199]
8. Baily RL. Individual tree growth derived from diameter distribution model. For Scie. 1980;26(4):626-32. [Link]
9. Amanzadeh B, Sagheb Talebi KH, Fadaei Khoshkebijari F, Khanjani Shiraz B, Hemmati A. Evaluation of different statistical distribution for estimation of diameter distribution within forest development stages in Shafaroud beech stands. Iran J For Poplar Res. 2011;19(2):254-67. [Persian] [Link]
10. Sheykholeslami A, Kia Pasha KK, Lashaki AK. A study of tree distribution in diameter classes in natural forests of Iran. Ann Biol Res. 2011;2(5):283-90. [Link]
11. Bullock BP, Burkhart HE. Juvenile diameter distribution of loblolly pine characterized by the two-parameter weibull function. New For. 2005;29:233-44. [Link] [DOI:10.1007/s11056-005-5651-5]
12. Mohammadalizadeh KH, Zobeiri M, Namiranian M, Hourfar A, Maravi Mohajer M. Fitness of distribution of diameter at breast height by using some statistic distribution models. Iran J For Poplar Res. 2010;17(1):116-24. [Persian] [Link]
13. Bullock BP, Boone EL. Deriving tree diameter distribution using bayesian model averaging. For Ecol Manag. 2007;242(2-3):127-32. [Link] [DOI:10.1016/j.foreco.2007.01.024]
14. Maghsoudlou Nezhad M, Shataee SH, Habashi H, Babanezhad M. Spatial and statistical analysis of quantitative characteristics of Juniperus stands in chahar-bagh of Gorgan regarding to topographic and soil features. Iran J For. 2013;5(2):195-206. [Persian] [Link]
15. Moradidirmandrik SH, Ramezanikakroudi E, Alijanpour A, Banjshafiei A. Quantitative and qualitative characteristics of Arasbaran forest protected area in slope gradient classes. For Res Dev. 2015;1(1):1-15. [Persian] [Link]
16. Sanjay G, Rawal RS, Todaria NP. Forest vegetation patterns along an altitudinal gradient in sub-alpine zone of west Himalaya, India. Afr J Plant Sci. 2008;2(6):42-8. [Link]
17. Smyris Pavlos ME, Ilias P, Petrou P. The growth ecology of Juniperus excelsa bieb trees in the central part of the Nestos valley (NE Greece) in the context of anthropogenic disturbances. J Biol Res. 2009;11:83-94. [Link]
18. Goodarzi GR, Sagheb Talebi K, Ahmadloo F. The study of effective factors on Almond (Amygdalus scoparia Spach) distribation in Markazi province. Iran J For. 2012;4(3):209-20. [Persian] [Link]
19. Daghestani M, Zanganeh M, Taheri M. Investigation on quantitative characteristic and soil properties of Juniperus excels M.Bieb stands in Tarom Zanjan. For Res Dev. 2017;3(2):175-19. [Persian] [Link]
20. Atta Mohammad S. Population structure and natural regeneration potential of (Juniperus excelsa M) in northern Balochistan Pakistan [dissertation]. Quetta: University of Balochistan; 2000. [Link]
21. Cao QV. Predicting parameters of a weibull function for modeling diameter distribution. For Sci. 2004;50(5):682-5. [Link]
22. Taheri Abkenar K, Fadaie Khosh-e-Bijari F, Jahdi R, Sotoudeh-Foumani B. Structure and regeneration patterns of Juniperus polycarpos C.Koch in Alborz mountains, Iran. J Basic Appl Sci Res. 2012;2(6):5993-6. [Link]
23. Zheng LF, Zhou XN. Diameter distribution of trees in natural stands managed on polycyclic cutting system. For Stud China. 2010;12:21-5. [Link] [DOI:10.1007/s11632-010-0009-2]
24. Sohrabi H, Taheri-Sarteshnizi MJ. Fitting probability distribution functions for modeling diameter distribution of oak species in pollarded northern Zagros forests (case study: Armardeh-Baneh). Iran J For. 2012;4(4):333-43. [Persian] [Link]
25. Modaberi A, Soosani J, Khosravi S. Effect of the decline on changes in the statistical distribution of hight breast diameter in the central Zagros forests (case study: Lorestan-Ilam). J Zag For Res. 2015;2(1):105-17. [Persian] [Link]
26. Motaharfard E, Mahdavi A, Iranmanesh Y, Jafarzadeh AA. Effect of land uses on aboveground biomass and carbon pools in Zagros forests, Iran. Ecopesia. 2019;7(2):105-14. [Persian] [Link]
27. Sepahvand F, Abrari Vajari K, Soosani J. Fine root biomass in acer monspessulanum trees and its relation to ecological factors in Zagros mountain forests. Ecopesia. 2019;7(2):79-85. [Persian] [Link]
28. Wang M, Rennolls K. Tree diameter distribution modeling: Introducing the logit-logistic distribution. Can J For Res. 2005;35(6):1305-13. [Link] [DOI:10.1139/x05-057]
29. Johnson DD, Miller RF. Structure and development of expanding western Juniper woodlands as influenced by tow topographic variables. For Ecol Manag. 2006;229(1-3):7-15. [Link] [DOI:10.1016/j.foreco.2006.03.008]
Send email to the article author
| Rights and permissions | |
 |
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License. |