Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China

doi:10.1007/s11676-024-01718-6

Abstract

Abstract:

Quantifying the biomass of saplings in the regeneration component is critical for understanding biogeochemical processes of forest ecosystems. However, accurate allometric equations have yet to be developed in sufficient detail. To develop species-specific and generalized allometric equations, 154 saplings of eight Fagaceae tree species in subtropical China’s evergreen broadleaved forests were collected. Three dendrometric variables, root collar diameter (d), height (h), and crown area (ca) were applied in the model by the weighted nonlinear seemingly unrelated regression method. Using only d as an input variable, the species-specific and generalized allometric equations estimated the aboveground biomass reasonably, with

R adj 2

values generally > 0.85. Adding h and/or ca improved the fitting of some biomass components to a certain extent. Generalized equations showed a relatively large coefficient of variation but comparable bias to species-specific equations. Only in the absence of species-specific equations at a given location are generalized equations for mixed species recommended. The developed regression equations can be used to accurately calculate the aboveground biomass of understory Fagaceae regeneration trees in China’s subtropical evergreen broadleaved forests.

Key words: Allometry, Aboveground biomass, Additivity, Regeneration, Subtropical China

Shengwang Meng. Species-specific and generalized allometric biomass models for eight Fagaceae species in the understory of evergreen broadleaved forests in subtropical China[J]. JOURNAL OF FORESTRY RESEARCH, 2024, 35(1): 69-.

Shengwang Meng. [J]. 林业研究(英文版), 2024, 35(1): 69-.

References 47

1	Ali A, Xu MS, Zhao YT, Zhang QQ, Zhou LL, Yang XD, Yan ER. Allometric biomass equations for shrub and small tree species in subtropical China. Silva Fenn, 2015, 49: 1275, DOI
2	Ameztegui A, Rodrigues M, Granda V. Uncertainty of biomass stocks in Spanish forests: a comprehensive comparison of allometric equations. Eur J for Res, 2022, 141: 395-407, DOI
3	Av L, Akça A. Forest Mensuration, 2007 Netherlands Springer 201
4	Behling A, Netto SP, Sanquetta CR, Corte APD, Affleck DLR, Rodrigues AL, Behling M. Critical analyses when modeling tree biomass to ensure additivity of its components. An Acad Bras Cienc, 2018, 90: 1759-1774, DOI
5	Bi HQ, Turner J, Lambert MJ. Additive biomass equations for native eucalypt forest trees of temperate Australia. Trees-Struct Funct, 2004, 18: 467-479, DOI
6	Brantley ST, Schulte ML, Bolstad PV, Miniat CF. Equations for estimating biomass, foliage area, and sapwood of small trees in the southern appalachians. For Sci, 2016, 62: 414-421, DOI
7	Carvalho JP, Parresol BR. Additivity in tree biomass components of Pyrenean oak (Quercus pyrenaica Willd.). For Ecol Manage, 2003, 179: 269-276, DOI
8	Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Folster H, Fromard F, Higuchi N, Kira T, Lescure JP, Nelson BW, Ogawa H, Puig H, Riera B, Yamakura T. Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia, 2005, 145: 87-99, DOI
9	Chave J, Rejou-Mechain M, Burquez A, Chidumayo E, Colgan MS, Delitti WBC, Duque A, Eid T, Fearnside PM, Goodman RC, Henry M, Martinez-Yrizar A, Mugasha WA, Muller-Landau HC, Mencuccini M, Nelson BW, Ngomanda A, Nogueira EM, Ortiz-Malavassi E, Pelissier R, Ploton P, Ryan CM, Saldarriaga JG, Vieilledent G. Improved allometric models to estimate the aboveground biomass of tropical trees. Glob Change Biol, 2014, 20: 3177-3190, DOI
10	Dimobe K, Mensah S, Goetze D, Ouédraogo A, Kuyah S, Porembski S, Thiombiano A. Aboveground biomass partitioning and additive models for Combretum glutinosum and Terminalia laxiflora in West Africa. Biomass Bioenerg, 2018, 115: 151-159, DOI
11	Djomo AN, Chimi CD. Tree allometric equations for estimation of above, below and total biomass in a tropical moist forest: Case study with application to remote sensing. For Ecol Manage, 2017, 391: 184-193, DOI
12	Djomo AN, Ibrahima A, Saborowski J, Gravenhorst G. Allometric equations for biomass estimations in Cameroon and pan moist tropical equations including biomass data from Africa. For Ecol Manage, 2010, 260: 1873-1885, DOI
13	Feldpausch TR, Lloyd J, Lewis SL, Brienen RJW, Gloor M, Monteagudo Mendoza A, Lopez-Gonzalez G, Banin L, Abu Salim K, Affum-Baffoe K, Alexiades M, Almeida S, Amaral I, Andrade A, Aragao LEOC, Araujo Murakami A, Arets EJMM, Arroyo L, Aymard GA, Baker TR, Banki OS, Berry NJ, Cardozo N, Chave J, Comiskey JA, Alvarez E, de Oliveira A, Di Fiore A, Djagbletey G, Domingues TF, Erwin TL, Fearnside PM, Franca MB, Freitas MA, Higuchi N, Honorio E, Iida Y, Jimenez E, Kassim AR, Killeen TJ, Laurance WF, Lovett JC, Malhi Y, Marimon BS, Marimon-Junior BH, Lenza E, Marshall AR, Mendoza C, Metcalfe DJ, Mitchard ETA, Neill DA, Nelson BW, Nilus R, Nogueira EM, Parada A, Peh KSH, Pena Cruz A, Penuela MC, Pitman NCA, Prieto A, Quesada CA, Ramirez F, Ramirez-Angulo H, Reitsma JM, Rudas A, Saiz G, Salomao RP, Schwarz M, Silva N, Silva-Espejo JE, Silveira M, Sonke B, Stropp J, Taedoumg HE, Tan S, ter Steege H, Terborgh J, Torello-Raventos M, van der Heijden GMF, Vasquez R, Vilanova E, Vos VA, White L, Willcock S, Woell H, Phillips OL. Tree height integrated into pantropical forest biomass estimates. Biogeosciences, 2012, 9: 3381-3403, DOI
14	Gibbs HK, Brown S, Niles JO, Foley JA. Monitoring and estimating tropical forest carbon stocks: making REDD a reality. Environ Res Lett, 2007, 2, DOI
15	Goodman RC, Phillips OL, Baker TR. The importance of crown dimensions to improve tropical tree biomass estimates. Ecol Appl, 2014, 24: 680-698, DOI
16	Henry M, Picard N, Trotta C, Manlay RJ, Valentini R, Bernoux M, Saint-Andre L. Estimating tree biomass of sub-saharan African forests: a review of available allometric equations. Silva Fenn, 2011, 45: 477-569, DOI
17	Huang C, Feng C, Ma Y, Liu H, Wang Z, Yang S, Wang W, Fu S, Chen HYH. Allometric models for aboveground biomass of six common subtropical shrubs and small trees. J Forestry Res, 2021, 33: 1317-1328, DOI
18	Huff S, Poudel KP, Ritchie M, Temesgen H. Quantifying aboveground biomass for common shrubs in northeastern California using nonlinear mixed effect models. For Ecol Manage, 2018, 424: 154-163, DOI
19	Kang XG (2011) Forest Management, 4th edn. China Forestry Publishing House, China, p 90 (in Chinese)
20	Kozak A. Methods for ensuring additivity of biomass components by regression analysis. Forest Chron, 1970, 46: 402-405, DOI
21	Kuyah S, Dietz J, Muthuri C, Jamnadass R, Mwangi P, Coe R, Neufeldt H. Allometric equations for estimating biomass in agricultural landscapes: I. Aboveground Biomass Agr Ecosyst Environ, 2012, 158: 216-224, DOI
22	MacFarlane DW. A generalized tree component biomass model derived from principles of variable allometry. For Ecol Manage, 2015, 354: 43-55, DOI
23	Menéndez-Miguélez M, Calama R, Del Río M, Madrigal G, López-Senespleda E, Pardos M, Ruiz-Peinado R. Species-specific and generalized biomass models for estimating carbon stocks of young reforestations. Biomass Bioenerg, 2022, 161, DOI
24	Meng S, Yang F, Hu S, Wang H, Wang H. Generic additive allometric models and biomass allocation for two natural oak species in Northeastern China. Forests, 2021, 12: 715, DOI
25	Mensah S, Veldtman R, Seifert T. Allometric models for height and aboveground biomass of dominant tree species in South African Mistbelt forests. South for: J for Sci, 2017, 79: 19-30, DOI
26	Muukkonen P. Generalized allometric volume and biomass equations for some tree species in Europe. Eur J for Res, 2007, 126: 157-166, DOI
27	Nilsson MC, Wardle DA. Understory vegetation as a forest ecosystem driver: evidence from the northern Swedish boreal forest. Front Ecol Environ, 2005, 3: 421-428, DOI
28	Packard GC. On the use of logarithmic transformations in allometric analyses. J Theor Biol, 2009, 257: 515-518, DOI
29	Pajtik J, Konopka B, Lukac M. Biomass functions and expansion factors in young Norway spruce (Picea abies L. Karst) trees. For Ecol Manage, 2008, 256: 1096-1103, DOI
30	Pajtik J, Konopka B, Lukac M. Individual biomass factors for beech, oak and pine in Slovakia: a comparative study in young naturally regenerated stands. Trees-Struct Funct, 2011, 25: 277-288, DOI
31	Parresol BR. Assessing tree and stand biomass: a review with examples and critical comparisons. For Sci, 1999, 45: 573-593, DOI
32	Parresol BR. Additivity of nonlinear biomass equations. Can J for Res, 2001, 31: 865-878, DOI
33	R Core Team (2022) R: A language and environment for statistical computing. R Foundation for Statistical Computing.
34	Randriamalala JR, Radosy HO, Ramanakoto M, Razafindrahanta H, Ravoninjatovo J-M, Haingomanantsoa RS, Ramananantoandro T. Allometric models to predict the individual aboveground biomass of shrubs of Malagasy xerophytic thickets. J Arid Environ, 2022, 202, DOI
35	Sah JP, Ross MS, Koptur S, Snyder JR. Estimating aboveground biomass of broadleaved woody plants in the understory of Florida Keys pine forests. For Ecol Manage, 2004, 203: 319-329, DOI
36	Sanquetta CR, Behling A, Corte APD, Péllico Netto S, Schikowski AB, do Amaral MK. Simultaneous estimation as alternative to independent modeling of tree biomass. Ann for Sci, 2015, 72: 1099-1112, DOI
37	Sileshi GW. A critical review of forest biomass estimation models, common mistakes and corrective measures. For Ecol Manage, 2014, 329: 237-254, DOI
38	Siqing B, Meng S, Liu L, Zhou G, Yu J, Xu Z, Liu Q. Additive allometric equations to improve aboveground biomass estimation for Mongolian pine plantations in Mu Us Sandy land, Inner Mongolia. China for, 2022, 13: 1672, DOI
39	Sprugel DG. Correcting for bias in log-transformed allometric equations. Ecology, 1983, 64(1): 209-210, DOI
40	Trautenmüller JW, Péllico Netto S, Balbinot R, Watzlawick LF, Dalla Corte AP, Sanquetta CR, Behling A. Regression estimators for aboveground biomass and its constituent parts of trees in native southern Brazilian forests. Ecol Indic, 2021, 130, DOI
41	Wang CK. Biomass allometric equations for 10 co-occurring tree species in Chinese temperate forests. For Ecol Manage, 2006, 222: 9-16, DOI
42	Xiang W, Li L, Ouyang S, Xiao W, Zeng L, Chen L, Lei P, Deng X, Zeng Y, Fang J, Forrester DI. Effects of stand age on tree biomass partitioning and allometric equations in Chinese fir (Cunninghamia lanceolata) plantations. Eur J for Res, 2021, 140: 317-332, DOI
43	Xiao X, White EP, Hooten MB, Durham SL. On the use of log-transformation vs. nonlinear regression for analyzing biological power laws. Ecology, 2011, 92: 1887-1894, DOI
44	Zeng W, Duo H, Lei X, Chen X, Wang X, Pu Y, Zou W. Individual tree biomass equations and growth models sensitive to climate variables for Larix spp. in China. Eur J for Res, 2017, 136: 233-249, DOI
45	Zhang Y, Onda Y, Kato H, Feng B, Gomi T. Understory biomass measurement in a dense plantation forest based on drone-SfM data by a manual low-flying drone under the canopy. J Environ Manage, 2022, 312, DOI
46	Zhao D, Kane M, Markewitz D, Teskey R, Clutter M. Additive tree biomass equations for midrotation loblolly pine plantations. For Sci, 2015, 61: 613-623, DOI
47	Zianis D, Xanthopoulos G, Kalabokidis K, Kazakis G, Ghosn D, Roussou O. Allometric equations for aboveground biomass estimation by size class for Pinus brutia Ten. trees growing in North and South Aegean Islands. Greece Eur J for Res, 2011, 130: 145-160, DOI

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