Estimation above ground biomass by using a diameter and density parameters (case study: district one of Darabkola forest)

Paper Details

Short Communications 01/10/2013
Views (716)
current_issue_feature_image
publication_file

Estimation above ground biomass by using a diameter and density parameters (case study: district one of Darabkola forest)

Soran Amini Baneh, Asqar fallah, Siavash Kalbi, Mahtab Pirbavaqar
Int. J. Biosci. 3(10), 262-266, October 2013.
Copyright Statement: Copyright 2013; The Author(s).
License: CC BY-NC 4.0

Abstract

Vegetation biomass is a crucial ecological variable for understanding the evolution and potential future changes of the climate system and is a larger global store of carbon than the atmosphere. One of the issues of major global concern is the increase in atmospheric carbon dioxide and its potential to change world climate. The study area is located in the Hyrcanian forests and sample plots were selected in the Fagus stands. The logging is done using a method of selecting individual trees. The method presented here is based on existing volume per ha data and volume-weighted average wood density. The total amount of biomass was equal to 421 ton per hectare. The results showed that the rate of deforestation in natural forests in Hyrcanian forest is high. Biomass estimates are critical for many landscape analysis questions. Measurements for biomass should be conducted at least every 5 years. and remote sensing inference should be repeated at least on an annual basis.

Anonymous. 2000. Land use, land-use change, and forestry: special report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge.

Brown B, Lugo A. 1992. Above ground biomass estimation for tropical moist forests of the Brazilian amazon,

Dengsheng L. 2006. The potential and challenge of remote sensing‐based biomass estimation. International Journal of Remote Sensing 27(7), 1297-1328. http://dx.doi.org/10.1080/01431160500486732

Brown S, Lugo AE. 1992. Above ground biomass estimates for tropical moist forests of the Brazilian Amazon. Interciencia 17, 8-18.

FAO. 2009. Terrestrial Carbon Observation: Assessment of the status of the development of the standards for the Terrestrial Essential Climate Variables., No. 10, Rome.

Holmgern J, Joyce S, Nilson MOH. 2000. Estimating stem volme and basel area in forest compartments by combing satellite image data .scandinavian journal of forest research 15(1), 103-111. http://dx.doi.org/10.1080/02827580050160538

Kirschbaum MUF. 1996. The carbon sequestration potential of tree plantations in Australia. In: Eldridge KG, Crowe MP, Old KM. (Eds.), Environmental Management: The Role of Eucalypts and Other Fast Growing Species. CSIRO Forestry and Forest Products, 77–89 p. http://dx.doi.org/10.1016/j.foreco.2003.12.019

Michael S, Pablo L, Guy J, Guy J. 2001. Estimating above-ground biomass and production in mangrove communities of Biscayne National Park, Florida (U.S.A.). Wetlands Ecology and Management 9, 27–37.

Muukkonen P, Heiskanen J. 2006. Biomass estimation over a large area based on standwise forest inventory data and ASTER and MODIS satellite data: A possibility to verify carbon inventories Biomass estimation over a large area based on standwise forest inventory data and ASTER and MODIS satellite data: A possibility to verify carbon inventories. Remote Sensing of Environment 107, 617–624. http://dx.doi.org/10.1016/j.rse.2008.07.017

Navar J. 2009. Algometric equations for tree species and carbon stocks for forests of north western Mexico, Forest Ecology and Management 257, 427-434.

Nophea KP, Wolfgang K, Sophanarith K. 2004. Appropriate measures for conservation of terrestrial carbon stocks—Analysis of trends of forest management in Southeast Asia. Forest ecology and management 191, 283-299. http://dx.doi.org/10.1016/j.foreco.2003.12.019

Sandra B, Ariel EL. 1992. Aboveground biomass estimates for tropical moist forests of the Brazilian Amazon. 17(1).

Sofia B, Peder w, Tomas L. 2005. A model for regional analysis of carbon sequestration and timber production. Forest Ecology & Management 216 (1-3), 28-40. http://dx.doi.org/10.1016/j.foreco.2005.05.059

Zhou X, Miles AH. 2009. Estimating aboveground tree biomass on forest land in the Pacific Northwest: a comparison of approaches. Res. Pap. PNW-RP-584. Portland, OR: U.S. Department of Agriculture, Forest Service, Pacific Northwest Research Station. 18 p.

Related Articles

Assessment of the population dynamics of microorganisms in mountainous brown soils of Gobustan in relation to soil-climate conditions

Zohra N. Mammadzada, Basti N. Alyeva, Sevinch J. Garayeva, Nizami R. Namazov, Int. J. Biosci. 27(4), 203-207, October 2025.

Shadows on the sunshine vitamin: Assessment of vitamin D knowledge among Bishkek’s university students

Muhammad Zeeshan Arif, Jamshed Qasim, Divya Pathak, Mirza Masroor Ali Beg, Int. J. Biosci. 27(4), 191-202, October 2025.

Rice productivity and soil hydrodynamic properties under lowland Elaeis guineensis and Borassus aethiopum: An asset rice agroforestry system

Sissou Zakari, Pierre Tovihoudji, Janvier Egah, Sékaro Amamath Boukari, Raymon Bio Gonga, Mouiz W. I. A. Yessoufou, Imorou F. Ouorou Barrè, Int. J. Biosci. 27(4), 177-190, October 2025.

Population dynamic parameters for Pseudupeneus prayensis (Mullidae) (Cuvier, 1829) in Ivorian continental shelf

Christian Bernard Tia, Abdoulaye Kone, Diomande Loua, Soumaïla Sylla, Essetchi Paul Kouamelan, Int. J. Biosci. 27(4), 169-176, October 2025.

Evaluation of phytochemicals and in vitro biological activities of Semecarpus kurzii leaf extract

Deepika, V. Ambikapathy, S. Babu, A. Panneerselvam, Int. J. Biosci. 27(4), 159-168, October 2025.

Comparative analysis of the influence of temporal, seasonal and behavioral factors using XGBoost for predicting traveled distances

Y. F. Lankoande, A. K. Gandema, S. Ouedraogo-Kone, A. Kone, Y. Sawadogo, J. Moses, Int. J. Biosci. 27(4), 150-158, October 2025.

The protective effect of black pepper (Piper nigrum) on liver enzymes in streptozotocin-induced diabetic rats

Amani A. R. Filimban, Khulud A. Wathi, Int. J. Biosci. 27(4), 140-149, October 2025.

Production of bioplastics (PHB) using waste paper as feed stock by Cupriavidus taiwanensis

Ajeena Davis, Jini Joseph, Int. J. Biosci. 27(4), 130-139, October 2025.