Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia

Siti Latifah; Teodoro Reyes Villanueva; Myrna Gregorio Carandang; Nathaniel Cena Bantayan; Leonardo M. Florece

doi:doi:10.11648/j.aff.20140304.11

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Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia

Siti Latifah, Teodoro Reyes Villanueva, Myrna Gregorio Carandang, Nathaniel Cena Bantayan, Leonardo M. Florece

Published in Agriculture, Forestry and Fisheries (Volume 3, Issue 4)

Received: 13 June 2014 Accepted: 3 July 2014 Published: 20 July 2014

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Abstract

This study was conducted primarily to develop a yield prediction model for Eucalyptus spp plantations in Aek Nauli, North Sumatera, Indonesia as a contribution to sustain development and management of forest plantations. Data for growth and yield model were collected from the inventory and permanent sample plots (PSPs). The data in this study used 650 rhombic plots consisting of 106 PSPs and 544 inventory plots with several variations of plot size. Stands’ features referred to diameter, height, merchantable volume, age, species, spacing, site index, basal area, and density of Eucalyptus species. Models using initial age, specifically, model 2 was found consistently to be the best model in most Eucalyptus plantations. Among the models using initial and projection age, model 4 was the better one. Model 2 using original ages looks better than model 4 because of it is being more reliable and its sigmoid growth curve. Nonetheless, significant differences were noticed between different models for predicting the merchantable volume of Eucalyptus spp. Plantations. Growth and yield models can be used to identify the best growing species of Eucalyptus spp. E. hybrid is recommended for plantation in this study area because it had the highest of merchantable volume.

Published in	Agriculture, Forestry and Fisheries (Volume 3, Issue 4)
DOI	10.11648/j.aff.20140304.11
Page(s)	209-216
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

Eucalyptus, Growth, Yield, Merchantable Volume, Forest Plantation

References

[1]	ANALYST SOFT. 2008. Stat Plus. http://www.analystsoft.com/en/products/statplus
[2]	AVERY, T.E and H.E BURKHART. 1994. Forest Measurement. Fourth Edition. New York: McGraw-Hill, Inc. 408 pp.
[3]	ASWANDI, 2000. Growth and Yield of Eucalyptus grandis Hill ex Maiden at Aek Nauli Simalungun. North Sumatera.
[4]	BANTAYAN, N.C. 2006. Gis in the Philippines : Principles and Applications in Forestry and Natural Resources. First Edition. Published by PARRFI and AKECU. Philippines
[5]	BENNET, F. A. 1970. Yield and Stand Structural Patterns for Old Field Plantations on Slash Pine. U. S. D. A. For. Serv., Res. Paper SE-60.
[6]	BENNET, F. A. 1970. Yield and stand structural patterns for old-field plantations of slash pine. U.S.D.A. For. Serv., res. Paper SE-60
[7]	BI, H., O. CHIKUMBO, and V. JURSKIS. 1994. Yield Equations for Regrowth Forests Regenerated From Fire on The Southeast Coast of New South Wales.http://www.daff.gov.au/__data/assets/pdf_file/0017/50462/nsw_ed_frm5.pdf
[8]	CLUTTER, JL, J.C. FORTSON, L.V. PIENAAR, G.H. BRISTER, and R.L. BAILEY. 1983. Timber Management: A quantitative approach. Canada: John Willey & Sons, Inc. 332 p
[9]	DAVIS, L.S., K.N. JOHNSON, P.S. BETTINGER and T.E. HOWARD. 2001. Forest Management to Sustain Ecological, Economic and Social Values. McGraw-Hill Companies, Inc. 1221 Avenue of the Americas, New York. NY 10020. 804 p.
[10]	HARTONO, B.T. 2002. Can Forest Plantations Alleviate Pressure on natural Forest? an Efficiency Analysis in Indonesia. Research Report no. 2002- RRI in Economy and Environment Program for Southeast Asia.
[11]	ITTO. 2001. Annual Review and Assessment of The World Timber Situation.
[12]	ITTO. 1990. ITTO Guidelines for The Sustainable Management of Natural Tropical Forest. ITTO Policy Document Series, I., Policy Development Series 1. ITTO, Yokohama, 18 pgs.
[13]	MONGABAY. 2006. INDONESIA. http://rainforests.mongabay.com/20indonesia.htm
[14]	PEREIRA AJ, HELIO G.L, JOAO C.C.C, AND AGOSTINHO L.S. 2006. Use Data from Permanent Sampling Point in Growth and Yield Modeling. Http://www.scielo.br/scielo.php
[15]	PERSEROAN TERBATAS TOBA PULP LESTARI (PT. TPL). 2008. Site Productivity Mapping.
[16]	PERSEROAN TERBATAS TOBA PULP LESTARI (PT. TPL). 2008. Summary of the Annual Work Plan Efforts Timber Forest Products Utilization in the Industrial Timber Plantation Forests.
[17]	PRAMONO, I.B. and A. PUDJIHARTA. 1996 Research Experiences on Eucalyptus in Indonesia. http://www.fao.org/docrep/005/AC772E/ac772e09.htm.
[18]	SILVA, A. L., JOAO, C. C. C., HELIO, G. L. AGUSTINHO, L. D. S., and PABLO, F. L. 2007. Growth and Yield Prediction Using The Modified Buckman Model. Revista. Árvore vol.30 no.5 Viçosa Sept./Oct. 2006.
[19]	SULLIVAN, A. D., and J. L.. CLUTTER. 1972. A simultaneous growth and yield model for loblolly pine. For. Sci. 18: 76-86.
[20]	VANCLAY, J.K. 2003. Growth Modeling and Yield Prediction For Sustainable Forest Management. Paper presented at the ITTO Workshop on Growth and Yield, 24-28th June 2002. Kuala Lumpur, Malaysia. http://jkv.50megs.com/R083_mf.pdf
[21]	VILLAR, R. G. 2005. Optimization Model Based on Geographic Information System for a Forest Production Unit in Bukidnon, Philippines. PhD Dissertation Institute of Renewable Natural Resources. University o the Philippines Los Banos, Laguna, Philippines
[22]	VILLANUEVA, T. R. 2005. Upland Ecosystem Management. Second Edition. University of the Philippines. Open University, Laguna, Philippines.
[23]	WEI, X, and NUNO M.G.B. 2000. Genetic Gains and Levels of Relatedness From Best Linier Unbiased Prediction Of Eucalyptus Europhylla for Pulp Production In Southeastern China. Canadian Journal Of Forestry Research. 30 (10): 1601-1607
[24]	YUE, W.,VALERIE, M., BAKER, and THOMAS ,G. 2007. Modeling and Prediction of Dominant Height and Site Index of Eucalyptus globulus Plantations Using a Nonlinear Mixed-Effects Model Approach. Canadian Journal of Forest Research, Volume 37, Number 8, 1 August 2007 , pp. 1390-1403(14)

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APA Style

Siti Latifah, Teodoro Reyes Villanueva, Myrna Gregorio Carandang, Nathaniel Cena Bantayan, Leonardo M. Florece. (2014). Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia. Agriculture, Forestry and Fisheries, 3(4), 209-216. https://doi.org/10.11648/j.aff.20140304.11

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ACS Style

Siti Latifah; Teodoro Reyes Villanueva; Myrna Gregorio Carandang; Nathaniel Cena Bantayan; Leonardo M. Florece. Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia. Agric. For. Fish. 2014, 3(4), 209-216. doi: 10.11648/j.aff.20140304.11

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AMA Style

Siti Latifah, Teodoro Reyes Villanueva, Myrna Gregorio Carandang, Nathaniel Cena Bantayan, Leonardo M. Florece. Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia. Agric For Fish. 2014;3(4):209-216. doi: 10.11648/j.aff.20140304.11

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@article{10.11648/j.aff.20140304.11,
  author = {Siti Latifah and Teodoro Reyes Villanueva and Myrna Gregorio Carandang and Nathaniel Cena Bantayan and Leonardo M. Florece},
  title = {Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {3},
  number = {4},
  pages = {209-216},
  doi = {10.11648/j.aff.20140304.11},
  url = {https://doi.org/10.11648/j.aff.20140304.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20140304.11},
  abstract = {This study was conducted primarily to develop a yield prediction model for  Eucalyptus spp plantations in Aek Nauli, North Sumatera, Indonesia as a contribution to  sustain development and management of forest plantations. Data for growth and yield model were collected  from the  inventory and  permanent sample plots (PSPs). The data in this study used 650 rhombic plots consisting of 106 PSPs and 544 inventory plots with several variations of plot size. Stands’ features referred to diameter, height, merchantable volume, age, species, spacing, site index, basal area, and density of Eucalyptus species. Models using initial age, specifically, model 2 was found consistently to be the best model in most Eucalyptus plantations. Among the models using initial and projection age, model 4 was the better one. Model 2 using original ages looks  better than model 4  because of it is being  more reliable and its  sigmoid growth curve. Nonetheless,  significant differences were noticed between different models for  predicting the merchantable volume of Eucalyptus spp. Plantations. Growth and yield models can be used to identify the best growing species of Eucalyptus spp. E. hybrid  is  recommended   for plantation in  this study area  because it had the highest of merchantable volume.},
 year = {2014}
}

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TY - JOUR
T1 - Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia
AU - Siti Latifah
AU - Teodoro Reyes Villanueva
AU - Myrna Gregorio Carandang
AU - Nathaniel Cena Bantayan
AU - Leonardo M. Florece
Y1 - 2014/07/20
PY - 2014
N1 - https://doi.org/10.11648/j.aff.20140304.11
DO - 10.11648/j.aff.20140304.11
T2 - Agriculture, Forestry and Fisheries
JF - Agriculture, Forestry and Fisheries
JO - Agriculture, Forestry and Fisheries
SP - 209
EP - 216
PB - Science Publishing Group
SN - 2328-5648
UR - https://doi.org/10.11648/j.aff.20140304.11
AB - This study was conducted primarily to develop a yield prediction model for Eucalyptus spp plantations in Aek Nauli, North Sumatera, Indonesia as a contribution to sustain development and management of forest plantations. Data for growth and yield model were collected from the inventory and permanent sample plots (PSPs). The data in this study used 650 rhombic plots consisting of 106 PSPs and 544 inventory plots with several variations of plot size. Stands’ features referred to diameter, height, merchantable volume, age, species, spacing, site index, basal area, and density of Eucalyptus species. Models using initial age, specifically, model 2 was found consistently to be the best model in most Eucalyptus plantations. Among the models using initial and projection age, model 4 was the better one. Model 2 using original ages looks better than model 4 because of it is being more reliable and its sigmoid growth curve. Nonetheless, significant differences were noticed between different models for predicting the merchantable volume of Eucalyptus spp. Plantations. Growth and yield models can be used to identify the best growing species of Eucalyptus spp. E. hybrid is recommended for plantation in this study area because it had the highest of merchantable volume.
VL - 3
IS - 4
ER -

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Author Information

Siti Latifah

Forestry Program Study, Sumatera Utara University, Medan, Indonesia
Teodoro Reyes Villanueva

Forest Resources Management, University of the Philippines Los Banos, Los Banos, Philippines
Myrna Gregorio Carandang

Forest Resources Management, University of the Philippines Los Banos, Los Banos, Philippines
Nathaniel Cena Bantayan

Forest Resources Management, University of the Philippines Los Banos, Los Banos, Philippines
Leonardo M. Florece

Environmental Science, University of the Philippines Los Banos, Los Banos, Philippines

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APA Style

Siti Latifah, Teodoro Reyes Villanueva, Myrna Gregorio Carandang, Nathaniel Cena Bantayan, Leonardo M. Florece. (2014). Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia. Agriculture, Forestry and Fisheries, 3(4), 209-216. https://doi.org/10.11648/j.aff.20140304.11

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ACS Style

Siti Latifah; Teodoro Reyes Villanueva; Myrna Gregorio Carandang; Nathaniel Cena Bantayan; Leonardo M. Florece. Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia. Agric. For. Fish. 2014, 3(4), 209-216. doi: 10.11648/j.aff.20140304.11

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AMA Style

Siti Latifah, Teodoro Reyes Villanueva, Myrna Gregorio Carandang, Nathaniel Cena Bantayan, Leonardo M. Florece. Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia. Agric For Fish. 2014;3(4):209-216. doi: 10.11648/j.aff.20140304.11

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@article{10.11648/j.aff.20140304.11,
  author = {Siti Latifah and Teodoro Reyes Villanueva and Myrna Gregorio Carandang and Nathaniel Cena Bantayan and Leonardo M. Florece},
  title = {Predicting Growth and Yield Models for Eucalyptus Species in Aek Nauli, North Sumatera, Indonesia},
  journal = {Agriculture, Forestry and Fisheries},
  volume = {3},
  number = {4},
  pages = {209-216},
  doi = {10.11648/j.aff.20140304.11},
  url = {https://doi.org/10.11648/j.aff.20140304.11},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.aff.20140304.11},
  abstract = {This study was conducted primarily to develop a yield prediction model for  Eucalyptus spp plantations in Aek Nauli, North Sumatera, Indonesia as a contribution to  sustain development and management of forest plantations. Data for growth and yield model were collected  from the  inventory and  permanent sample plots (PSPs). The data in this study used 650 rhombic plots consisting of 106 PSPs and 544 inventory plots with several variations of plot size. Stands’ features referred to diameter, height, merchantable volume, age, species, spacing, site index, basal area, and density of Eucalyptus species. Models using initial age, specifically, model 2 was found consistently to be the best model in most Eucalyptus plantations. Among the models using initial and projection age, model 4 was the better one. Model 2 using original ages looks  better than model 4  because of it is being  more reliable and its  sigmoid growth curve. Nonetheless,  significant differences were noticed between different models for  predicting the merchantable volume of Eucalyptus spp. Plantations. Growth and yield models can be used to identify the best growing species of Eucalyptus spp. E. hybrid  is  recommended   for plantation in  this study area  because it had the highest of merchantable volume.},
 year = {2014}
}

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