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      Modeling above-ground biomass for three tropical tree species at their juvenile stage

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      https://www.riss.kr/link?id=A104976922

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      다국어 초록 (Multilingual Abstract)

      Accurate prediction of biomass for juveniles (sapling and seedling) of any stand is important to estimate total biomass orcarbon stock in the stand. In this study allometric biomass models were developed for prediction of above-ground biomassfor three...

      Accurate prediction of biomass for juveniles (sapling and seedling) of any stand is important to estimate total biomass orcarbon stock in the stand. In this study allometric biomass models were developed for prediction of above-ground biomassfor three major tropical tree species (Shorea robusta, Terminalia tomentosa, and Acacia catechu) at their juvenile stage.
      Biomass data for this study were acquired from 120 destructively sampled juvenile individuals (40 for each species) ofthese species in the lowland of western Nepal. Among several mathematical models tested, an exponential model withdiameter and total height as explanatory variables showed the best fits to the data (i.e. smallest root mean square error(RMSE) and Akaike information criterion (AIC), and largest R2adj). Also the same model form with diameter, height andwood density as explanatory variables fitted the data equally well. All other models with diameter alone or its combinationwith other variables showed relatively poorer fits. The first two best models of the forms yi ¼ expfb1ðD2i HiÞb2g andyi ¼ expfb1ðrD2i HiÞb2g explained >92% above-ground biomass proportion, resulting in a small random variation ofresiduals around zero (RMSE ¼ 62 g). Thus, for more accuracy, one of these two models was recommended to predictabove-ground biomass of juveniles of three species. Since the models developed in this study are explicitly site-specific,their application should be restricted to site, size and stand conditions similar to the basis of this study. Further works forvalidation and verification of the presented models with new data from a wider range of site, size and stand conditions ofShorea robusta, Terminalia tomentosa, and Acacia catechu are recommended.

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      참고문헌 (Reference)

      1 Telfer ES, "Weight-diameter relationship for 22 woody plant species" 47 (47): 1851-, 1969

      2 Baker TR, "Variation in wood density determines spatial patterns in Amazonian forest biomass" 10 (10): 545-562, 2004

      3 Fu LY, "Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales- A case study for Masson pine in Southern China" 58 (58): 101-115, 2012

      4 Senelwa K, "Tree biomass equations for short rotation eucalypts grown in New Zealand" 13 (13): 133-140, 1997

      5 Chave J, "Tree allometry and improved estimation of carbon stocks and balance in tropical forests" 145 (145): 187-199, 2005

      6 Alvarez E, "Tree above-ground biomass allometries for carbon stocks estimation in the natural forests of Colombia" 267 : 297-308, 2012

      7 Chaturvedi OP, "The structure and function of pine forest in central himalya" 60 (60): 253-267, 1987

      8 Huxley JS, "Terminology of relative growth" 137 : 780-781, 1936

      9 Singh L, "Species structure, dry-matter dynamics and carbon flux of dry tropical forest in India" 68 (68): 263-273, 1991

      10 Sapkota IP, "Spatial distribution, advanced regeneration and stand structure of Nepalese Sal (Shorea robusta) forests subject to disturbances of different intensities" 257 (257): 1966-1975, 2009

      1 Telfer ES, "Weight-diameter relationship for 22 woody plant species" 47 (47): 1851-, 1969

      2 Baker TR, "Variation in wood density determines spatial patterns in Amazonian forest biomass" 10 (10): 545-562, 2004

      3 Fu LY, "Using linear mixed model and dummy variable model approaches to construct compatible single-tree biomass equations at different scales- A case study for Masson pine in Southern China" 58 (58): 101-115, 2012

      4 Senelwa K, "Tree biomass equations for short rotation eucalypts grown in New Zealand" 13 (13): 133-140, 1997

      5 Chave J, "Tree allometry and improved estimation of carbon stocks and balance in tropical forests" 145 (145): 187-199, 2005

      6 Alvarez E, "Tree above-ground biomass allometries for carbon stocks estimation in the natural forests of Colombia" 267 : 297-308, 2012

      7 Chaturvedi OP, "The structure and function of pine forest in central himalya" 60 (60): 253-267, 1987

      8 Huxley JS, "Terminology of relative growth" 137 : 780-781, 1936

      9 Singh L, "Species structure, dry-matter dynamics and carbon flux of dry tropical forest in India" 68 (68): 263-273, 1991

      10 Sapkota IP, "Spatial distribution, advanced regeneration and stand structure of Nepalese Sal (Shorea robusta) forests subject to disturbances of different intensities" 257 (257): 1966-1975, 2009

      11 SAS Institute Inc, "SAS/ETS1 9.3 User’s Guide" SAS Institute Inc 2008

      12 Keith H, "Review of allometric relationships for estimating woody biomass for New south Wales, the Australian Capital Territory, Victoria, Tasmania, and South Australia" Australian Greenhouse Office 114-, 2000

      13 Chave J, "Regional and phylogenetic variation of wood density across 2456 neotropical tree species" 16 (16): 2356-2367, 2006

      14 Ketterings QM, "Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests" 146 (146): 199-209, 2001

      15 DFO Bardia, "Program glimpse of district forest office Bardia" 29-, 2011

      16 Ajit Das DK, "Predictive models for dry weight estimation of above and below ground biomass components of Populus deltoides in India: Development and comparative diagnosis" 35 (35): 1145-1152, 2011

      17 Bates DM, "Nonlinear regression analysis and its applications" John Wiley and Sons 1988

      18 Fu LY, "Nonlinear mixed effects crown width models for individual trees of Chinese fir (Cunninghamia lanceolata) in south-central China" 302 : 210-220, 2013

      19 Chaturvedi RK, "Non-destructive estimation of tree biomass by using wood specific gravity in the estimator" 33 (33): 133-138, 2010

      20 Bishnu Hari Wagle, "Modelling individual tree basal area growth of Blue pine (Pinus wallichiana) for Mustang district in Nepal" 한국임학회 8 (8): 21-27, 2012

      21 Sharma RP, "Modelling growing space requirement for Alnus nepalensis D. Don. in Nepal" 16 (16): 30-36, 2006

      22 Vanclay JK, "Modelling forest growth and yield. Applications to mixed tropical forests" CAB International 312-, 1994

      23 Sharma RP, "Modelling dominant height growth from national forest inventory individual tree data with short time series and large age errors" 262 (262): 2162-2175, 2011

      24 Burnham KP, "Model selection and inference: A practical information-theoretic approach" Springer-Verlag 2002

      25 Clark DA, "Measuring net primary production in forests: Concepts and field methods" 11 (11): 356-370, 2001

      26 Jackson JK, "Manual of afforestation in Nepal" Forest research and survey center, Ministry of forest and soil conservation 1994

      27 Montgomery DC, "Introduction to linear regression analysis" Wiley 641-, 2001

      28 Dey AC, "Indian wood tested for match manufacture. Indian Forest Bulletin (new series)" 203 : 1960

      29 Fang ZX, "Height-diameter models for tropical forests on Hainan Island in southern China" 110 (110): 315-327, 1998

      30 Sharma M, "Height-diameter equations for boreal tree species in Ontario using a mixed-effects modeling approach" 249 (249): 187-198, 2007

      31 Ratkowsky DA, "Handbook of non-linear regression" Marcel Dekker, Inc 241-, 1990

      32 Alder D, "Growth modelling for mixed tropical forests" Nuffield Press 231-, 1995

      33 De Gier A, "Geoinfor Trop Ecosyst" Asia Association of Remote Sensing 161-198, 2003

      34 Muukkonen P, "Generalized allometric volume and biomass equations for some tree species in Europe" 126 (126): 157-166, 2007

      35 Agee JK, "Fule weights of understory-grown confiers in souther Oregon" 13 (13): 648-656, 1983

      36 Singh V, "Formulating allometric equations for estimating biomass and carbon stock in small diameter trees" 261 (261): 1945-1949, 2011

      37 Chaturvedi AN, "Forest mensuration and biometry. 5th Ed" Khanna Bandhu 2011

      38 Spurr SH, "Forest inventory" Ronald press 476-, 1952

      39 DFRS, "Forest Resources of Nepal. Department of Forest Research and Survey" Ministry of Forest and Soil Conservation 33-, 1999

      40 Vanclay JK, "Evaluating forest growth models" 98 (98): 1-12, 1997

      41 Soares P, "Evaluating a growth model for forest management using continuous forest inventory data" 71 (71): 251-265, 1995

      42 Ter-Mikaelian MT, "Estimating biomass of white spruce seedlings with vertical photo imagery" 20 (20): 145-162, 2000

      43 Francis JK, "Estimating biomass and carbon content of saplings in Puerto Rican secondary forests" 36 (36): 346-350, 2000

      44 Brown S, "Estimating biomass and biomass change of tropical forests: a primer" FAO 1997

      45 Edwards Jr TC, "Effects of sample survey design on the accuracy of classification tree models in species distribution models" 199 (199): 132-141, 2006

      46 Chaturvedi RK, "Effect of grazing and harvesting on diversity, recruitment and carbon accumulation of juvenile trees in tropical dry forests" 284 : 152-162, 2012

      47 Diéguez-Aranda U, "Dynamic site model for loblolly pine (Pinus taeda L.) plantations in the United States" 52 (52): 262-272, 2006

      48 Kozak A, "Does cross validation provide additional information in the evaluation of regression models?" 33 (33): 976-987, 2003

      49 Huang S, "Development of ecoregionbased height-diameter models for white spruce in boreal forests" 129 : 125-141, 2000

      50 Goelz JCG, "Development of a well-behaved site index equation-Jack pine in North central Ontario" 22 (22): 776-784, 1992

      51 Rizvi RH, "Comparison of various linear and non-linear functions for estimating biomass and volume of Dalbergia sissoo grown under rainfed conditions" 78 (78): 138-141, 2008

      52 Huang S, "Comparison of non-linear height-diameter functions for major Alberta tree species" 22 (22): 1297-1304, 1992

      53 Wagner RG, "Comparison of biomass component equations for four species of northern coniferous tree seedlings" 56 (56): 193-199, 1999

      54 Lambert MC, "Canadian national tree abovegournd biomass equations" 35 : 1996-2018, 2005

      55 Lindner A, "Biomass estimations in forests of different disturbance history in the Atlantic Forest of Rio de Janeiro, Brazil" 43 (43): 287-301, 2012

      56 Chaturvedi RK, "Biomass estimation of dry tropical woody species at juvenile stage" 2012 : 1-5, 2012

      57 Adinugroho WCD, "Biomass estimation model of above-ground mahogany (Swietenia macrophylla) tree" 3 (3): 103-117, 2006

      58 Brown S, "Biomass estimation for tropical forests with applications to forest inventory data" 35 (35): 881-902, 1989

      59 Ter-Mikaelian MT, "Biomass equations for sixty five North American tree species" 97 : 1-24, 1997

      60 Muukkonen P, "Biomass equations for European trees: Addendum" 40 (40): 763-773, 2006

      61 Návar J., "Biomass component equations for Latin American species and groups of species" 66 (66): 2009

      62 Zianis D, "Biomass and stem volume equations for tree species in Europe" 4 : 63-, 2005

      63 Wang CK, "Biomass allometric equations for 10 cooccurring tree species in Chinese temperate forests" 222 (222): 9-16, 2006

      64 Hasenauer H, "Biased predictions for tree height increment models developed from smoothed ‘data’" 98 (98): 13-22, 1997

      65 Parresol BR, "Assessing tree and stand biomass: A review with examples and critical comparisons" 45 (45): 573-593, 1999

      66 Zeide B., "Analysis of growth equations" 39 (39): 594-616, 1993

      67 Bartelink HH, "Allometric relationships on biomass and needle area of Douglas-fir" 86 (86): 193-203, 1996

      68 Nelson BW, "Allometric regressions for improved estimate of secondary forest biomass in the central Amazon" 117 (117): 149-167, 1999

      69 Segura M, "Allometric models for tree volume and total aboveground biomass in a tropical humid forest in Costa Rica" 37 (37): 2-8, 2005

      70 Sharma RP, "Allometric models for total-tree and component-tree biomass of Alnus nepalensis D. Don in Nepal" 137 (137): 1386-1390, 2011

      71 Návar J., "Allometric equations for tree species and carbon stocks for forests of northwestern Mexico" 257 (257): 427-434, 2009

      72 Basuki TM, "Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests" 257 (257): 1684-1694, 2009

      73 Kuyah S, "Allometric equations for estimating biomass in agricultural landscapes: I. Aboveground biomass" 158 : 216-224, 2012

      74 Subedi MR, "Allometric biomass models for bark of Cinnamomum tamala in mid-hill of Nepal" 47 : 44-49, 2012

      75 Geudens G, "Allometric biomass equations for Scots pine (Pinus sylvestris L.) seedlings during the first years of establishment in dense natural regeneration" 61 (61): 653-659, 2004

      76 Williamson GB, "Age-dependent radial increases in wood specific gravity of tropical pioneers in Costa Rica" 42 (42): 590-597, 2010

      77 Bi HQ, "Additive prediction of aboveground biomass for Pinus radiata (D. Don) plantations" 259 (259): 2301-2314, 2010

      78 Chaturvedi RK, "Aboveground biomass estimation of small diameter woody species of tropical dry forest" 44 (44): 509-519, 2013

      79 Hosoda K, "Abovegroud biomass equations for individual trees of Cryptomeria japonica, Chamaecyparis obtusa and Larix kaempferi in Japan" 15 : 299-306, 2010

      80 Hitchcock HC, "Above-ground tree weight equations for hardwood seedling and sapling" 61 (61): 119-120, 1978

      81 Reed DD, "Above-ground and belowground biomass of precompetitive red pine in northern Michigan" 25 (25): 1064-1069, 1995

      82 Gupta PC, "A note on plywood from Nepal asna" 106 (106): 775-777, 1980

      83 Mäkipää R, "A non-destructive field method for mMeasuring wood density of decaying logs" 45 (45): 1135-1142, 2011

      84 Akaike H, "A new look at statistical model identification" AC19 (AC19): 716-723, 1972

      85 Schumacher FX, "A new growth curve and its application to timber-yield studies" 37 : 819-820, 1939

      86 Dorado FC, "A generalized height-diameter model including random components for radiata pine plantations in northwestern Spain" 229 (229): 202-213, 2006

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