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

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), 2014. Published by Science Publishing Group

Keywords

Eucalyptus, Growth, Yield, Merchantable Volume, Forest Plantation

References
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[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.
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[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.
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Cite This Article
  • 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
  • Forestry Program Study, Sumatera Utara University, Medan, Indonesia

  • Forest Resources Management, University of the Philippines Los Banos, Los Banos, Philippines

  • Forest Resources Management, University of the Philippines Los Banos, Los Banos, Philippines

  • Forest Resources Management, University of the Philippines Los Banos, Los Banos, Philippines

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

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