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iForest - Biogeosciences and Forestry

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Allometric equations to assess biomass, carbon and nitrogen content of black pine and red pine trees in southern Korea

Choonsig Kim (1)   , Byung Oh Yoo (2), Su Young Jung (2), Kwang Soo Lee (2)

iForest - Biogeosciences and Forestry, Volume 10, Issue 2, Pages 483-490 (2017)
doi: https://doi.org/10.3832/ifor2164-010
Published: Apr 12, 2017 - Copyright © 2017 SISEF

Research Articles


A total of 74 Japanese black pine (Pinus thunbergii Parl.) and red pine (P. densiflora S. et Z.) trees were destructively sampled in southern Korea, which is severely affected by pine wilt disease (PWD). Species-specific allometric equations were developed to estimate the biomass, carbon (C) and nitrogen (N) content of the tree components (i.e., stem wood, stem bark, branches, needles and roots) based on the diameter at breast height (DBH) and stem diameter at 20 cm aboveground (D20). The C concentrations of the various tree components were not correlated with DBH (P > 0.05), except for the C concentration in the stem bark (r = -0.29, P < 0.05) of the black pine and the branches (r = 0.40, P < 0.05) of the red pine. However, the N concentrations in the stem wood (r = -0.53, P < 0.05), stem bark (r = -0.37, P < 0.05) and branches (r = -0.40, P < 0.05) of the black pine were negatively correlated with DBH. The mean C concentrations of the tree components were not significantly different between the black pine and red pine, except for the stem bark, whereas the mean N concentrations were significantly lower in the black pine than in the red pine, except for the stem bark. The allometric equations developed for the biomass, C and N content for all the tree components were significant (P < 0.05). The adjusted coefficient of determination (adj. R2) of the DBH allometric equations ranged from 0.66 to 0.97, while the coefficients for the D20 equations were between 0.66 and 0.95. Black pines consistently exhibited more biomass, C and N content in the tree components compared with the red pines with similar DBH or D20. These results suggest that the accuracy of estimates for biomass, C and N stocks in black pine and red pine forests could be improved by specific allometric equations for PWD-disturbed forests.

  Keywords


Biomass Equations, Black Pine, Carbon Stocks, Nitrogen Stocks, Pine Wilt Disease, Red Pine

Authors’ address

(1)
Choonsig Kim
Department of Forest Resources, Gyeongnam National University of Science and Technology, Jinju 52725 (Korea)
(2)
Byung Oh Yoo
Su Young Jung
Kwang Soo Lee
Southern Forest Resource Research Center, National Institute of Forest Science, Jinju 52817 (Korea)

Corresponding author

 
Choonsig Kim
ckim@gntech.ac.kr

Citation

Kim C, Yoo BO, Jung SY, Lee KS (2017). Allometric equations to assess biomass, carbon and nitrogen content of black pine and red pine trees in southern Korea. iForest 10: 483-490. - doi: 10.3832/ifor2164-010

Academic Editor

Mike Perks

Paper history

Received: Jul 06, 2016
Accepted: Feb 22, 2017

First online: Apr 12, 2017
Publication Date: Apr 30, 2017
Publication Time: 1.63 months

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(1)
Augusto L, Meredieu C, Bert D, Trichet P, Porté A, Bosc A, Lagane F, Loustau D, Pellerin S, Danjon F, Ranger J, Gelpe J (2008)
Improving models of forest nutrient export with equations that predict the nutrient concentration of tree compartments. Annals of Forest Science 65: 808-808.
CrossRef | Gscholar
(2)
Balboa-Murias MA, Rojo A, Alvarez JG, Merino A (2006)
Carbon and nutrient stocks in mature Quercus robur L. stands in NW Spain. Annals of Forest Science 63: 557-565.
CrossRef | Gscholar
(3)
Barron-Gafford GA, Will RE, Burkes EC, Shiver B, Teskey RO (2003)
Nutrient concentrations and contents and their relation to stem growth of intensively managed Pinus taeda and Pinus elliottii stands of different planting densities. Forest Science 49: 291-300.
Online | Gscholar
(4)
Bert D, Danjon F (2006)
Carbon concentration variations in the roots, stem and crown of mature Pinus pinaster (Ait.). Forest Ecology and Management 222: 279-295.
CrossRef | Gscholar
(5)
Bouvet A, Nguyen-The N, Melun F (2013)
Nutrient concentration and allometric models for hybrid eucalyptus planted in France. Annals of Forest Science 70: 251-260.
CrossRef | Gscholar
(6)
Gao H, Dong L, Li F, Zhang L (2015a)
Evaluation of four methods for predicting carbon stocks of Korean pine plantations in Heilongjiang Province, China. PLoS One 10: e0145017.
CrossRef | Gscholar
(7)
Gao R, Shi J, Huang R, Wang Z, Luo Y (2015b)
Effects of pine wilt disease invasion on soil properties and Masson pine forest communities in the three Gorges reservoir region, China. Ecology and Evolution 5: 1702-1716.
CrossRef | Gscholar
(8)
Garcia Villacorta AM, Martin TA, Jokela EJ, Cropper Jr WP, Gezan SA (2015)
Variation in biomass distribution and nutrient content in loblolly pine (Pinus taeda L.) clones having contrasting crown architecture and growth efficiency. Forest Ecology and Management 342: 84-92.
CrossRef | Gscholar
(9)
Hicke JA, Allen CD, Desai AR, Dietze MC, Hall RJ, Hogg EHT, Kashian DM, Moore D, Raffa KF, Sturrock RN, Vogelmann J (2012)
Effects of biotic disturbances on forest carbon cycling in the United States and Canada. Global Change Biology 18: 7-34.
CrossRef | Gscholar
(10)
Hicke JA, Meddens AJH, Allen CD, Kolden CA (2013)
Carbon stocks of trees killed by bark beetles and wildfire in the western United States. Environmental Research Letters 8: 8.
CrossRef | Gscholar
(11)
Hoch G, Richter A, Körner C (2003)
Non-structural carbon compounds in temperate forest trees. Plant Cell and Environment 26: 1067-1081.
CrossRef | Gscholar
(12)
Hunt SL, Gordon AM, Morris DM (2010)
Carbon stocks in managed conifer forests in Northern Ontario, Canada. Silva Fennica 44: 563-582.
CrossRef | Gscholar
(13)
Jeong J, Kim C, Lee KS, Bolan NS, Naidu R (2013)
Carbon storage and soil CO2 efflux rates at varying degrees of damage from pine wilt disease in red pine stands. Science of the Total Environment 465: 273-278.
CrossRef | Gscholar
(14)
Kim C, Jang KS, Kim JB, Byun JK, Lee CH, Jeon KS (2010)
Relationship between soil properties and incidence of pine wilt disease at stand level. Landscape and Ecological Engineering 6: 119-124.
CrossRef | Gscholar
(15)
Kim C, Jeong J, Kim RH, Son YM, Lee KH, Kim JS, Park IH (2011)
Allometric equations and biomass expansion factors of Japanese red pine on the local level. Landscape and Ecological Engineering 7: 283-289.
CrossRef | Gscholar
(16)
Kim C, Jeong J, Park JH, Ma HS (2015)
Growth and nutrient status of foliage as affected by tree species and fertilization in a fire-disturbed urban forest. Forests 6: 2199-2213.
CrossRef | Gscholar
(17)
Korea Forest Research Institute (2010)
Survey manual for biomass and soil carbon. Samsung Adcom Co., Seoul, Korea, pp. 60.
Gscholar
(18)
Korea Forest Service (2014)
Annual reports of forest and forestry. Kumgang printing office, Deajeon, Korea, pp. 696.
Gscholar
(19)
Kwon TS, Shin JH, Lim JH, Kim YK, Lee EJ (2011)
Management of pine wilt disease in Korea through preventative silvicultural control. Forest Ecology and Management 261: 562-569.
CrossRef | Gscholar
(20)
Lamlom SH, Savidge RA (2006)
Carbon content variation in boles of mature sugar maple and giant sequoia. Tree Physiology 26: 459-468.
CrossRef | Gscholar
(21)
Martin AR, Gezahegn S, Thomas SC (2015)
Variation in carbon and nitrogen concentration among major woody tissue types in temperate trees. Canadian Journal of Forest Research 45: 744-757.
CrossRef | Gscholar
(22)
Mabuhay JA, Nakagoshi N (2012)
Response of soil microbial communities to changes in a forest ecosystem brought about by pine wilt disease. Landscape and Ecological Engineering 8: 189-196.
CrossRef | Gscholar
(23)
Noh NJ, Kim C, Bae SW, Lee WK, Yoon TK, Muraoka H, Son Y (2013)
Carbon and nitrogen dynamics in a Pinus densiflora forest with low and high stand densities. Journal of Plant Ecology 6: 368-379.
CrossRef | Gscholar
(24)
Oubrahim H, Boulmane M, Bakker MR, Augusto L, Halim M (2016)
Carbon storage in degraded cork oak (Quercus suber) forests on flat lowlands in Morocco. iForest 9: 125-137.
CrossRef | Gscholar
(25)
Paré D, Bernier P, Lafleur B, Titus BD, Thiffault E, Maynard DG, Guo X (2013)
Estimating stand-scale biomass, nutrient contents, and associated uncertainties for tree species of Canadian forests. Canadian Journal of Forest Research 43: 599-608.
CrossRef | Gscholar
(26)
Rubilar RA, Allen HL, Kelting DL (2005)
Comparison of biomass and nutrient content equations for successive rotations of loblolly pine plantations on an Upper Coastal Plain Site. Biomass and Bioenergy 28: 548-564.
CrossRef | Gscholar
(27)
SAS Institute (1995)
SAS/STAT user’s guide, version 6.03.1. SAS publishing, Cary, NC, USA, pp. 1026.
Gscholar
(28)
Socha J, Wezyk P (2007)
Allometric equations for estimating the foliage biomass of Scots pine. European Journal of Forest Research 126: 263-270.
CrossRef | Gscholar
(29)
Thomas SC, Malczewski G (2007)
Wood carbon content of tree species in Eastern China: Interspecific variability and the importance of the volatile fraction. Journal of Environmental Management 85: 659-662.
CrossRef | Gscholar
(30)
Thomas SC, Martin AR (2012)
Carbon content of tree tissues: a synthesis. Forests 3: 332-352.
CrossRef | Gscholar
(31)
Vicente C, Espada M, Vieira P, Mota M (2012)
Pine wilt disease: a threat to European forestry. European Journal of Plant Pathology 133: 88-99.
CrossRef | Gscholar
(32)
Weiskittel AR, MacFarlane DW, Radtke PJ, Affleck DLR, Temesgen H, Woodall CW, Westfall JA, Coulston JW (2015)
A call to improve methods for estimating tree biomass for regional and national assessments. Journal of Forestry 113: 414-424.
CrossRef | Gscholar
(33)
Woo KS, Lee DH, Koo YB, Yeo JK (2008)
Inoculation of seven pine species or hybrid seedlings with Korean isolates of pinewood nematode under greenhouse conditions. Annals of Forest Science 65: 811-811.
CrossRef | Gscholar
 

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