[Home ] [Archive]   [ فارسی ]  
:: Main :: About :: Current Issue :: Archive :: Search :: Submit :: Contact ::
Main Menu
Home::
Journal Information::
Articles archive::
For Authors::
For Reviewers::
Registration::
Contact us::
Site Facilities::
::
Search in website

Advanced Search
..
Receive site information
Enter your Email in the following box to receive the site news and information.
..
:: Volume 7, Issue 15 (12-2019) ::
PEC 2019, 7(15): 89-105 Back to browse issues page
Determining the most suitable Allometric equations for Estimating Above-ground Biomass of the Juniperus excelsa
Mohammad Maghsoudlou *
, mohammad.maghsoudlou@yahoo.com
Abstract:   (3619 Views)
Today, modeling and determination of allometric equations of forest trees, especially Junipers trees, are very important aimed at determination of biological status and carbon storage capacity of forest species. The aim of this study was to determine the most suitable allometric equations for estimating the biomass of leaf, sub branch, main branch, trunk, and biomass of total Juniperus excelsa trees in Chaharbagh region of Golestan province. For modeling, at least 3 trees were selected in each diameter class for harvesting leaf and branch samples. A total of 35 sample trees were harvested and in the laboratory after weighing and drying samples, the biomass of leaf, branch, trunk and total was calculated. Allometric equations were obtained based on power, exponential and polynomial regression models. For validating the models, the criterion of determination coefficient, standard deviation of fitted model, regression analysis, and compliance with the distribution of residual values from normal distribution were used. The results showed that independent variables, diameter at beast height with R2=97, crown surface with R2=96 and mean diameter of the crown with R2 = 94 produced equations with better modeling indices in different parts of the tree. Also, the power and polynomial models of the exponential model were more appropriate. The correlation coefficient obtained from regression models showed that these allometric equations are suitable for estimating the biomass of Junipers trees in the study area.
Keywords: Juniperus excelsa, Allometric equations, Power model, biomass, Chaharbagh Province of Golestan
Full-Text [PDF 478 kb]   (773 Downloads)    
Type of Study: Research | Subject: Special
Received: 2019/01/18 | Accepted: 2019/07/8 | Published: 2020/03/17
References
1. Charlotte, M.Reemts, 2013.Allometric equations for Ashe Juniper of small diameter.Southwestern naturalist 58(3):359-363.
2. Ebuy, J. Lokombe, J. P. Ponette, Q. Sonwa, D. and Picard, N. 2011. Allometric equations for predicting aboveground biomass of three tree species. Journal of Tropical Forest Science. Vol. 23(2). 125-132.
3. Fu, L., Zhao, Y., Xu, Zh., and Wu, B.2015. Spatial and temporal dynamics of forest aboveground carbon stocks in response to climate and environmental changes. Soils Sediments.,15: 249-259.
4. Geremew, T. (2011). Assessment of aboveground carbon stock in coniferous and broadleaf forests, using high spatial resolution satellite images. Master of Science, University of Twente. 85 p.
5. Good, N.M. Paterson,M. Brack, C.and Mengersen, K.2001. Estimating tree component biomass using variable probability sampling methods. Jurnal of Agricultural, Biological and Enviromental Statistics.Vol.6(2).258-267.
6. Grote, R., 2002. Foliage and branch biomass estimation of coniferous and deciduous treespecies, 36.
7. Kim Phat, N., Knorr, W. and Kim, S., 2004. Appropriate measures for conservation of terrestrialcarbon stocks—Analysis of trends of forest management in Southeast Asia. Forest Ecology and Management, 191(1–3): 283-299.
8. IPCC (2003). "Good Practice Guidance for Land Use Change and Forestry."
9. Komiyama, A., J. E. Ong and S. Poungparn (2008). "Allometry, biomass, and productivity of mangrove forests: A review." Aquatic Botany 89(2): 128-137.
10. Krofcheck, D. J., M. E. Litvak., C. D. Lippitt and A.Neuenschwander(2016)." Woody BiomassEstimation in a Southwestern U.S. Juniper Savanna Using LiDAR-Derived ClumpedTree Segmentation and Existing Allometries." Remote Sens. 2016, 8(6), 453.
11. Losi, C. J., T. G. Siccama, R. Condit and J. E. Morales (2003). "Analysis of alternative methodsfor estimating carbon stock in young tropical plantations." Forest Ecology and Management 184(1–3): 355-368.
12. Lu, D. (2006). "The potential and challenge of remote sensing‐based biomass estimation."International Journal of Remote Sensing 27(7): 1297-1328.
13. M. Mirik, R. J. Ansley, B. W. Surber and S. Ale(2013) "Evaluating Biomass of Juniper Trees (Juniperus pinchotii) from Imagery-Derived Canopy Area Using the Support VectorMachine Classifie, " Advances in Remote Sensing, Vol. 2, No. 2, 2013, pp. 181-192
14. Návar, J., 2009. Allometric equations for tree species and carbon stocks for forests of northwestern Mexico. Forest Ecology and Management, 257(2): 427-434.
15. Peper, P.J.U.o.C., Davis, CA.) and McPherson, E.G., 1998. Comparison of four foliar andwoody biomass estimation methods applied to open-grown deciduous trees. v. 24
16. Repola, J. (2008). Biomass equations for birch in Finland.
17. Snowdon, P., Raison, J. and Eamus, D., 2002. Protocol for sampling tree and stand biomass.
18. Sprinkle,W., Klepac,J.,2015. Models of Utah Juniper and Two-Needle PinyonBiomass for One Site in Southwest Utah. For. Sci. 61(1):162–168.
19. Tekleweini, G., Ababo, W., Goitom, T.,Muhamed, A.and Leakemariam, B., 2019. Total Volume and Aboveground Biomass Models for Juniperus procera Plantation in Wondo Genet, Southern Ethiopia.Open Journal of Forestry, 2019, 9, 89-108.
20. Wani, A.A., Joshi, P.K.,and Singh, O.2015. Estimating biomass and carbon mitigation of temperate coniferous using spectral modeling and field inventory data. Ecological Informatics. 25: 63-70.
21. Watson, C., 2010. Forest Carbon Accounting: Overview & Principles.Australian GreenhouseOffice Publication, 67 p.
22. West, P. W., 2009. Tree and Forest Measurement. Springer Publisher, 190 p.
23. Zianis, D., Muukkonen, P., Makipaa, R. and Mencuccini, M., 2005. Biomass and stem volumeequations of tree species in Europe, 4.
24. Zobieri,M.2002.Forest Biometry 1th ED,Tehran University Press,412pp.
Send email to the article author

Add your comments about this article
Your username or Email:

CAPTCHA


XML   Persian Abstract   Print


Download citation:
BibTeX | RIS | EndNote | Medlars | ProCite | Reference Manager | RefWorks
Send citation to:

maghsoudlou M. Determining the most suitable Allometric equations for Estimating Above-ground Biomass of the Juniperus excelsa. PEC 2019; 7 (15) :89-105
URL: http://pec.gonbad.ac.ir/article-1-547-en.html


Rights and permissions
Creative Commons License This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Volume 7, Issue 15 (12-2019) Back to browse issues page
مجله حفاظت زیست بوم گیاهان Journal of Plant Ecosystem Conservation
Persian site map - English site map - Created in 0.06 seconds with 37 queries by YEKTAWEB 4710