Comparative Study on Volume Estimation Using a Model with one and Model with two Independent Variables in Meru/USA Forest Plantation, Northern Tanzania

  • Lucas Kivuyo Likingurainey Mbizi Forest Reserve, Tanzania Forest Service Agency
  • Canisius John Kayombo Forestry Training Institute, Olmotonyi
  • Almas Kashindye Forestry Training Institute, Olmotonyi
Keywords: Comparative Study, Tree Species Volume, Independent Variables, Meru/USA Forest, Northern Tanzania
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Abstract

Worldwide, the management of forests has been known to rely on the determination of the size of tree stands. The size of tree stands is determined based on dimensions that include the diameter and the marketable height through the volume equation. The volume is often evaluated from the diameter. It can however also be measured directly on felled trees or logs. It is difficult to obtain the volume for the stand trees directly, so, models were developed to tackle the situation based on standing trees’ variables like diameter and height in order to simplify volume estimation because it is more closetful and difficult to measure direct volumes for standing trees. The general objective of this study was to estimate trees’ volume using one and two independent variables. Systematic sampling was used to allocate the plots on which the diameters of the trees were measured, and counted for the number of individuals (trees stems). The Relascope was used to assign the trees to be considered in the set plot while a diameter tape measure was used for diameter (DBH) measurements and the already measured trees were marked (using marker pens, paints and chalk). Data recording sheets and a handheld GPS were used for recording coordinates. The study findings revealed that having a model with two independent variables; DBH and height(H) is more accurate compared to the model with one independent variable.

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References

Akindele, S. O., & LeMay, V. M. (2006). Development of tree volume equations for common timber species in the tropical rain forest area of Nigeria. Forest Ecology and Management, 226(1-3), 41-48.

Arney, J. D. (1968). Calculation of tree volume and surface area by the height-accumulation method. Master’s Thesis. Oregon State University

Avery, T. E., & Burkhart, H. E. (2015). Forest measurements (5th Edition). Long Grove, IL: Waveland Press.

Bhaska, S.B. and Ali, Z. (2016). Basic statistical tools in research and data analysis. Indian Journal of Anaesthesia, 60 (9): 662-669. doi: 10.4103/0019-5049.190623

Cailliez, F. (1980). Forest volume estimation and yield prediction: vol. 1 Volume estimation. FAO Forestry Paper 22/1. Rome: Food and Agriculture Organization

Chazdon, R.L., Brancalion, P.H.S., Laestadius, L., Bennett-Curry, A., Buckingham, K., Kumar, C., Moll-Rocek, J. Vieira, I.C.G. and Wilson, S. J. (2016). When is a forest a forest? Forest concepts and definitions in the era of forest and landscape restoration. Ambio, 45: 538-550.

Dau, J.H., Mati, A., and Dawaki, S.A. Sustainable Forest Management: A Review. International Journal of Forestry and Horticulture (IJFH), 1: 33-40.

Dixon, G. and Comp, E. (2002). Essential FVS: A user’s guide to the Forest Vegetation Simulator. Internal Rep. Fort Collins, CO: U. S. Department of Agriculture, Forest Service, Forest Management Service Center. 226p. (Revised: January 7, 2020).

Ferguson, I. (2013) Assessing sustainability in certification schemes. Journal of Australian Forestry, 76:3-4, 183-193, DOI:10.1080/00049158.2013.848509.

García, O. (2003). Dimensionality reduction in growth models: an example. Forest biometry, Modelling and Information Sciences, 1, 1-15.

Gregoire, T. G., Valentine, H. T., & Furnival, G. M. (1986). Estimation of bole volume by importance sampling. Canadian Journal of Forest Research, 16(3), 554-557.

Gregoire, T. G., Valentine, H. T., & Furnival, G. M. (1995). Sampling methods to estimate foliage and other characteristics of individual trees. Ecology, 76(4), 1181-1194.

Hasenauer, H. (2006). Sustainable Forest Management. Growth Models for Europe. Springer Berlin Heidelberg, Germany pp 20-35.

Henry, M., Picard, N., Trotta, C., Manlay, R., Valentini, R., Bernoux, M., & Saint-André, L. (2011). Estimating tree biomass of sub-Saharan African forests: a review of available allometric equations. Silva Fennica, 45(3), 477-569.

Hlaing, Z. C., Kamiyama, C., & Saito, O. (2017). Interaction between rural people’s basic needs and forest products: A case study of the Katha District of Myanmar. International Journal of Forestry Research, 2017.

Kebede, B., & Soromessa, T. (2018). Allometric equations for aboveground biomass estimation of Olea europaea L. subsp. cuspidata in Mana Angetu Forest. Ecosystem Health and Sustainability, 4(1), 1-12.

Kershaw, J. A., Ducey, M. J., Beers, T. W., & Husch, B. (1986). Forest Mensuration (Fifth Edition). Willey Blackwell

Kohl, M. & Marchetti, M. (2016). Measurements and Assessments on Field Plots. In Pancel, L. & Kohl, M. (Eds), Tropical Forest Handbook Second Edition, (pp. 1-51). Springer.

Koirala, A, Kizha, A, Baral, S. (2017). Modeling Height-Diameter Relationship and Volume of Teak (Tectona grandis L. F.) in Central Lowlands of Nepal. Journal of Tropical Forestry and Environment, 7: 28-42.

Li, R., & Weiskittel, A. R. (2010). Comparison of model forms for estimating stem taper and volume in the primary conifer species of the North American Acadian Region. Annals of Forest Science, 67(3), 302.

Lisboa, S. N., Guedes, B. S., Ribeiro, N., & Sitoe, A. (2018). Biomass allometric equation and expansion factor for a mountain moist evergreen forest in Mozambique. Carbon balance and management, 13(1), 23.

Magnussen, S., & Reed, D. (2004). Modeling for estimation and monitoring. Knowledge reference for national forest assessments, 111.

Malata, H., Ngulube, E. S., & Missanjo, E. (2017). Site specific stem volume models for Pinus patula and Pinus oocarpa. International Journal of Forestry Research, 2017.

Malimbwi, R.E., Eid, T. & Chamshama, S. A. O. (2016). Allometric Tree Biomass Volume Models in Tanzania. Book of Tree Biomass. Department of Forest Mensuration and Management All rights reserved. Printed in Tanzania.

Malimbwi, R.E., Luoga, E.J., Hofstad, O., Mugasha, A.G. and Valen, J.S. (2000). Prevalence and standing volume of Dalbergia melanoxylon in coastal and inland sites of Southern Tanzania. Journal of Tropical Forest Science, 12 (2): 336-347.

Manyanda, B., Mugasha, W.A., Nzunda, E., and Malimbwi, R.E. (2019). Biomass and Volume Models Based on Stump Diameter for Assessing Degradation of Miombo Woodlands in Tanzania. International Journal of Forestry Research, 38: 1-15.

Masiero, M., Pettenella, D., Boscolo, M, Barua, S.K., Animon, I, and Matta, R. (2019). Valuing forest ecosystem services A training manual for planners and project developers. Food and Agriculture Organization (FAO) of the United Nations Rome. Forest working paper 11, 1-220.

Matthews, R.W., Jenkins, T.A.R., Mackie, E.D. & Dick, E.C. (2016). Forest Yield: A handbook on forest growth and yield tables for British forestry Commission, Edinburgh. i–iv + 1–92pp. Keywords: forestry, forest management, silviculture, yield tab.

Messager, M. L., Lehner, B., Grill,G., Neveda, I. & Schmit, O. (2016). Estimating the volume and age of water stored in global lakes using a geo-statistical approach. Nature Communication. 7: 7, 13603

Mohammadia, J., Shataee, S., and Babanezhadc, M. (2011). Estimation of forest stand volume, tree density and biodiversity using Landsat ETM+ Data, comparison of linear and regression tree analyses. Procedia Environmental Sciences, 7: 299–304.

Moser, J. W., & Hall, O. F. (1969). Deriving growth and yield functions for uneven-aged forest stands. Forest Science, 15(2), 183-188.

Mugasha, W. A., Eid, T., Bollandsås, O. M., Malimbwi, R. E., Chamshama, S. A. O., Zahabu, E., & Katani, J. Z. (2013). Allometric models for prediction of above-and belowground biomass of trees in the miombo woodlands of Tanzania. Forest Ecology and Management, 310, 87-101.

Mugasha, W. A., Mauya, E. W., Njana, A. M., Karlsson, K., Malimbwi, R. E., & Ernest, S. (2019). Height-diameter allometry for tree species in Tanzania mainland. International Journal of Forestry Research, 2019.

Nordstrom, E., Nieuwenhuis, M., Zoccatelli, D. 2019. Forest decision support systems for the analysis of ecosystem services provisioning at the landscape scale under global climate and market change scenarios. European Journal of Forest Research; 138: 561–581.

NRCC. (2008). Canadian Journal of Forest Research. Journal Canadien de la Recherche Forestière, Vol.38 ; 6-7.

Oderwald, R. G., & Johnson, J. E. (2004). Measuring standing trees and logs. Publication 420-560. Virginia Cooperative Extension, Virginia State University.

Özçelik, R. (2008). Comparison of formulae for estimating tree bole volumes of Pinus sylvestris. Scandinavian Journal of Forest Research, 23(5), 412-418.

Pastory, M. (2014). Estimation of biomass and carbon stock for Pinus patula grown in Meru forest plantations, Tanzania. Remote Sensing of Environment, 80, pp. 88-99.

Picard, N., Saint-Andre, L., and Henry, M. (2012). Manual for building tree volume and biomass allometric equations from field measurement to prediction. Food and Agriculture Organization of the United Nations (FA0) Viale delle Terme di Caracalla 00153 Rome, Italie.

Pitkanen, TP., Raumonnen, P., and Kangas, A. (2019). Measuring stem diameters with TLS in boreal forests by complementary fitting procedure. ISPRS Journal of Photogrammetry and Remote Sensing, 147: 294-306.

Schreuder, H. T., Gregoire, T.G. & Wood, G. B. (1993). Sampling motherhood for multisource forest inventory. New York, NY: John Wiley and Sons.

Schreuder, H.T., Ernst, R. and Ramirez-Maldonado, H. (2004). Statistical Techniques for Sampling and Monitoring Natural Resources. General Technical Report RMRS-GTR, 126, 1-118.

Shrestha, H. L., Kafle, M. R., Khanal, K., & Mandal, R. A. (2018). Developing local volume tables for three important tree species in Nawalparasi and Kapilvastu districts. Banko Janakari, 84-91.

Sumida, A., Miyaura, T., & Torii, H. (2013). Relationships of tree height and diameter at breast height revisited: analyses of stem growth using 20-year data of an even-aged Chamaecyparis obtusa stand. Tree Physiology, 33(1), 106-118.

Tavani, R., Saket, M., Piazza, M., Branthomme, A., & Altrell, D. (2009). Case studies on measuring and assessing forest degradation: Measuring and monitoring forest degradation through national forest monitoring assessment (NFMA). Forest Resources Assessment Working Paper 172. FAO.

Tong, C. (2019). Statistical Inference Enables Bad Science; Statistical Thinking Enables Good Science. The American Statistician, 73, 246-261.

United Republic of Tanzania (URT). (1992). Volume models for single trees in tropical rainforests in Tanzania. United Republic of Tanzania.

United Republic of Tanzania (URT). (1998). Arusha Socio-economic Profile. Arusha: The Planning Commission, Dar es Salaam & Regional Commissioner’s Office.

West, P. W. (2009). Tree and forest measurement. New York, NY: Springer.

Published
10 November, 2020
How to Cite
Likingurainey, L., Kayombo, C., & Kashindye, A. (2020). Comparative Study on Volume Estimation Using a Model with one and Model with two Independent Variables in Meru/USA Forest Plantation, Northern Tanzania. East African Journal of Forestry and Agroforestry, 2(2), 54-63. https://doi.org/10.37284/eajfa.2.2.236