A critical review of forest biomass estimation models, common mistakes and corrective measures

Forest Ecology and Management

Volumn 329, Issue , 2014, Pages 237-254

  Sileshi, Gudeta W ^a  

^a CHITEDZE AGRICULTURAL RESEARCH STATION   (Malawi)

Author keywords

Allometry; Confirmation bias; Freedman paradox; Hypothetico deductive; Isometry; Uncertainty

Indexed keywords

BIOLOGY; FORESTRY; STATISTICAL TESTS; UNCERTAINTY ANALYSIS;

ALLOMETRY; CONFIRMATION BIAS; FREEDMAN PARADOX; HYPOTHETICO-DEDUCTIVE; ISOMETRY; UNCERTAINTY;

BIOMASS;

AKAIKE INFORMATION CRITERION; ALLOMETRY; BIOMASS; CARBON FLUX; ECOLOGICAL MODELING; ERROR ANALYSIS; FOREST ECOSYSTEM; MODEL TEST; UNCERTAINTY ANALYSIS;

BIOLOGY; BIOMASS; FORESTRY; STATISTICAL ANALYSIS;

EID: 84904512231     PISSN: 03781127     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.foreco.2014.06.026     Document Type: Review

References (105)

1. Ahmed R., Siqueira P., Hensley H., Bergen K. Uncertainty of forest biomass estimates in north temperate forests due to allometry: implications for remote sensing. Remote Sens. 2013, 5:3007-3036.
2. Alvarez E., Duque A., Saldarriaga J., Cabrera K., de las Salas G., del Valle I., Lema A., Moreno F., Orrego S., Rodríguez L. Tree above-ground biomass allometries for carbon stocks estimation in the natural forests of Colombia. For. Ecol. Manage. 2012, 267:297-308.
3. Andersen R. Modern Methods for Robust Regression 2008, Sage Publications Inc., Thousand Oaks, USA, pp 128.
4. Anfodillo T., Carrer M., Simini F., Popa I., Banavar J.R., Maritan A. An allometry-based approach for understanding forest structure, predicting tree-size distribution and assessing the degree of disturbance. Proc. R. Soc. B 2012, 280:20122375.
5. Basuki T.M., van Laake P.E., Skidmore A.K., Hussin Y.A. Allometric equations for estimating the above-ground biomass in tropical lowland Dipterocarp forests. For. Ecol. Manage. 2009, 257:1684-1694.
6. Brokaw N., Thompson J. The H for DBH. For. Ecol. Manage. 2000, 129:89-91.
7. Brown J.H., Gupta V.K., Li B.L., Milne B.T., Restrepo C., West G.B. The fractal nature of nature: power laws, ecological complexity and biodiversity. Phil. Trans. R. Soc. Lond. B 2002, 357:619-626.
8. Burnham K.P., Anderson D.R. Model Selection and Multimodel Inference: A Practice Information-Theoretic Approach 2002, Springer Verlag, New York.
9. Carrascal L.M., Galván I., Gordo O. Partial least squares regression as an alternative to current regression methods used in ecology. Oikos 2009, 118:681-690.
10. CDC/National Center for Health Statistics, 2010. Reliability of estimates. <> (access 15.06.14). http://www.cdc.gov/nchs/ahcd/ahcd_estimation_reliability.htm.
11. Chave J., Andalo C., Brown S., Cairns M.A., Chambers J.Q., Eamus D., Fölster H., Fromard F., Higuchi N., Kira T., Lescure J.-P., Nelson B.W., Ogawa H., Puig H., Riéra B., Yamakura T. Tree allometry and improved estimation of carbonstocks and balance in tropical forests. Oecologia 2005, 145:87-99.
12. Cheng D., Niklas K. Above- and below-ground biomass relationships across 1543 forested communities. Ann. Bot. 2007, 99:95-102.
13. Clark D.B., Kellner J.R. Tropical forest biomass estimation and the fallacy of misplaced concreteness. J. Veg. Sci. 2012, 23:1191-1196.
14. Colgan M.S., Asner G.P., Swemmer T. Harvesting tree biomass at the stand level to assess the accuracy of field and airborne biomass estimation in savannas. Ecol. Appl. 2013, 23:1170-1184.
15. Coomes D.A., Allen R.B. Testing the metabolic scaling theory of tree growth. J. Ecol. 2009, 97. 1369ced co.
16. Djomo A.N., 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.
17. Ducey M.J. Evergreenness and wood density predict height-diameter scaling in trees of the northeastern United States. For. Ecol. Manage. 2012, 279:21-26.
18. Dumont C., Mentre F., Gaynor C., Brendel K., Gesson C., Chenel M. Optimal sampling times for a drug and its metabolite using SIMCYP-simulations as prior information. Clin. Pharmacokinet. 2013, 52:43-57.
19. Ebuy J., Lokombé J.P., Ponette Q., Sonwa D., Picard N. Allometric equation for predicting aboveground biomass of three tree species. J. Trop. For. Sci. 2011, 23:125-132.
20. Enquist B.J. Universal scaling in tree and vascular plant allometry: toward a general quantitative theory linking plant form and function from cells to ecosystems. Tree Physiol. 2002, 22:1045-1064.
21. Enquist B.J., West G.B., Charnov E.L., Brown J.H. Allometric scaling of production and life-history variation in vascular plants. Nature 1999, 401:907-911.
22. Enquist B.J., West G.B., Brown J.H. Extensions and evaluations of a general quantitative theory of forest structure and dynamics. Proc. Natl. Acad. Sci. USA 2009, 106:7046-7051.
23. Fayolle A., Doucet J.L., Gillet J.F., Bourland N., Lejeune P. Tree allometry in Central Africa: testing the validity of pantropical multi-species allometric equations for estimating biomass and carbon stocks. For. Ecol. Manage. 2013, 305:29-37.
24. Fehrmann L., Kleinn C. General considerations about the use of allometric equations for biomass estimation on the example of Norway spruce in central Europe. For. Ecol. Manage. 2006, 236:412-421.
25. Feldpausch T.R., Banin L., Phillips O.L., Baker T.R., Lewis S.L., et al. Height-diameter allometry of tropical forest trees. Biogeosciences 2011, 8:1081-1106.
26. Fortsche B.K. Chaos in the brickyard. Science 1963, 142:339.
27. Friedman J., Bohonak A.J., Levine R.A. When are two pieces better than one: fitting and testing OLS and RMA regressions. Environmetrics 2013, 24:306-316.
28. Gayon J. History of the concept of allometry. Amer. Zool. 2000, 40:748-758.
29. Girardin C.A.J., Malhi Y., Aragao L.E.O.C., Mamani M., et al. Net primary productivity allocation and cycling of carbon along a tropical forest elevational transect in the Peruvian Andes. Glob. Change Biol. 2010, 16:3176-3192.
30. Gould S.J. Allometry and size in ontogeny and phylogeny. Biol. Rev. 1966, 41:587-640.
31. Graham M.H. Confronting multicollinearity in ecological multiple regression. Ecology 2003, 84:2809-2815.
32. Guthery F.S., Brennan L.A., Peterson M.J. Information theory in wildlife science: critique and viewpoint. J. Wildlife Manage. 2005, 69:457-465.
33. Hendriks J.A. The power of size: a meta-analysis reveals consistency of allometric regressions. Ecol. Model. 2007, 205:196-208.
34. Henry M., Besnard A., Asante W.A., Eshun J., Adu-Bredu S., Valentini R., Bernoux M., Saint-André L. Wood density, phytomass variations within and among trees, and allometric equations in a tropical rainforest of Africa. For. Ecol. Manage. 2010, 260:1375-1388.
35. Henry M., Picard N., Trotta C., Manlay R., Valentini R., Bernoux M., Saint-André L. Estimating tree biomass of sub-Saharan African forests: a review of available allometric equations. Silva Fennica 2011, 45:477-569.
36. Henry M., Bombelli A., Trotta C., Alessandrini A., Birigazzi L., et al. GlobAllomeTree: international platform for tree allometric equations to support volume, biomass and carbon assessment. iForest 2013, 6:326-330.
37. Huang S., Price D., Titus S.J. Development of ecoregion-based height-diameter models for white spruce in boreal forests. For. Ecol. Manage. 2000, 129:125-141.
38. Hui D., Wang J., Shen W., Le X., Ganter P., et al. Near isometric biomass partitioning in forest ecosystems of China. PLoS ONE 2014, 9(1):e86550.
39. Hunter M.O., Keller M., Vitoria D., Morton D.C. Tree height and tropical forest biomass estimation. Biogeosciences 2013, 10:8385-8399.
40. Huxley J.S., Teissier G. Terminology of relative growth. Nature 1936, 137:780-781.
41. IPCC, 2003. In: Penman, J., Gytarsky, M., Hiraishi, T., Krug, T., Kruger, D., Pipatti, R., Buendia, L., Miwa, K., Ngara, T., Tanabe, K., Wagner, F., (Eds.). Good Practice Guidance for Land Use, Land-use Change and Forestry. Institute for Global Environmental Strategies (IGES), Hayama, Japan, 600 pp.
42. James G., Witten D., Hastie T., Tibshirani R. An Introduction to Statistical Learning with Applications in R 2013, Springer Science+Business Media, New York, 426 pp.
43. Jenkins, J.C., Chojnacky, D.C., Heath, L.S., Birdsey, R.A., 2004. Comprehensive Database of Diameter-Based Biomass Regressions for North American Tree Species. USDA General Technical Report NE-319.
44. Kaitaniemi P. Testing the allometric scaling laws. J. Theor. Biol. 2004, 228:149-153.
45. Kearsley E., de Haulleville T., Hufkens K., et al. Conventional tree height-diameter relationships significantly overestimate aboveground carbon stocks in the Central Congo Basin. Nat. Commun. 2013, 4. 10.1038/ncomms3269.
46. King D.A., Davies S.J., Tan S., Noor N.S.M. Trees approach gravitational limits to height in tall lowland forests of Malaysia. Funct. Ecol. 2009, 23:284-291.
47. Kuyah S., Dietz J., Muthuria C., Jamnadassa R., Mwangi P., Coe R., et al. Allometric equations for estimating biomass in agricultural landscapes: I. Aboveground biomass. Agric Ecosyst. Environ. 2012, 158:216-224.
48. Kuyah S., Sileshi G.W., Njoloma J., Mng'omba S., Neufeldt H. Estimating aboveground tree biomass in three different miombo woodlands and associated land use systems in Malawi. Biomass Bioenergy 2014, 66:214-222.
49. Larjavaara M., Muller-Landau H.C. Measuring tree height: a quantitative comparison of two common field methods in a moist tropical forest. Method. Ecol. Evol. 2013, 4:793-801.
50. Li H., Zhao P. Improving the accuracy of tree-level aboveground biomass equations with height classification at a large regional scale. For. Ecol. Manage. 2013, 289:153-163.
51. Lima A.J.N., Suwa R., De Mello Ribeiro G.H.Pires, Kajimoto T., dos Santos J., et al. Allometric models for estimating above- and below-ground biomass in Amazonian forests at São Gabriel da Cachoeira in the upper Rio Negro. Brazil. For. Ecol. Manage. 2012, 277:163-172.
52. Lukacs P.M., Burnham K.P., Anderson D.R. Model selection bias and Freedman's paradox. Ann. Inst. Stat. Math. 2010, 62:117-125.
53. MacCoun R.J. Biases in the interpretation and use of research results. Annu. Rev. Psychol. 1998, 49:259-287.
54. MacFarlane D.W., Kuyah S., Mulia R., Dietz J., Muthuri C., Van Noordwijk M. Evaluating a non-destructive method for calibrating tree biomass equations derived from tree branching architecture. Trees 2014, 28:807-817.
55. Marquet P.A., Quiñones R.A., Abades S., Labra F., Tognelli M., Arim M., Rivadeneira M. Scaling and power-laws in ecological systems. J. Expl. Biol. 2005, 208:1749-1769.
56. Mascaro J., Litton C.M., Hughes F., Uowolo A., Schnitzer S.A. Minimizing Bias in biomass allometry: model selection and log-transformation of data. Biotropica 2011, 43:649-653.
57. Mate R., Johansson T., Sitoe A. Biomass equations for tropical forest tree species in Mozambique. Forests 2014, 5:535-556.
58. Mbow C., Verstraete M.M., Sambou B., Diaw A.T., Neufeldt H. Allometric models for aboveground biomass in dry savanna trees of the Sudan and Sudan-Guinean ecosystems of Southern Senegal. J. For. Res. 2013, 19:340-347.
59. McCune B., Grace J.B. Analysis of Ecological Communities 2002, Gleneden Beach, OR, USA, 304 pp.
60. Molto Q., Rossi V., Blanc L. Error propagation in biomass estimation in tropical forests. Method. Ecol. Evol. 2013, 4:175-183.
61. Molto Q., Hérault B., Boreux J.-J., Daullet M., Rousteau A., Rossi V. Predicting tree heights for biomass estimates in tropical forests. Biogeosci. Discuss. 2013, 10:8611-8635.
62. Moncrieff G.R., Chamaillié-Jammes S., Higgins S.I., O'Hara R.B., Bond W.J. Tree allometries reflect a lifetime of herbivory in an African savanna. Ecology 2011, 92:2310-2315.
63. Moore J.R. Allometric equations to predict the total above-ground biomass of radiata pine trees. Ann. For. Sci. 2010, 67:806.
64. Muller-Landau H.C., Condit R.S., Chave J., Thomas S.C., et al. Testing metabolic ecology theory for allometric scaling of tree size, growth and mortality in tropical forests. Ecol. Lett. 2006, 9:575-588.
65. Návar J. Biomass component equations for Latin American species and groups of species. Ann. For. Sci. 2009, 66:208-216.
66. Ngomanda A., Obiang N.L.E., Lebamba J., Mavouroulou Q.M., Gomat H., Mankou G.S., Loumeto J., Iponga D.M., Ditsouga F.K., Koumba R.Z., Bobé K.H.B., Okouyi C.M., Nyangadouma R., Lépengué N., Mbatchi B., Picard N. Site-specific versus pantropical allometric equations: Which option to estimate the biomass of a moist central African forest?. For. Ecol. Manag. 2014, 312:1-9.
67. Niklas K.J. Size-dependent allometry of tree height, diameter and trunk-taper. Ann. Bot. 1995, 75:217-227.
68. Niklas K.J., Spatz H.-C. Growth and hydraulic (not mechanical) constraints govern the scaling of tree height and mass. Proc. Natl. Acad. Sci. USA 2004, 101:15661-15663.
69. Nogueira E.M., Fearnside P.M., Nelson B.W., Barbosa R.I., Keizer E.W.H. Estimates of forest biomass in the Brazilian Amazon: new allometric equations and adjustments to biomass from wood-volume inventories. For. Ecol. Manage. 2008, 256:1853-1867.
70. Osunkoya O.O., Omar-Ali K., Amit N., Dayan J., Daud D.S., Sheng T.K. Comparative height-crown allometry and mechanical design in 22 tree species of Kuala Belalong rainforest, Brunei. Borneo. Am. J. Bot. 2007, 94:1951-1962.
71. Packard G.C. Multiplicative by nature: logarithmic transformation in allometry. J. Exp. Zool. 2014, 322:202-207.
72. Packard G.C., Birchard G.F., Boardman T.J. Fitting statistical models in bivariate allometry. Biol. Rev. 2011, 86:549-563.
73. Paul K., Roxburgh S.H., England J.R., Ritson P., et al. Development and testing of allometric equations for estimating above-ground biomass of mixed-species environmental plantings. For. Ecol. Manage. 2013, 310:483-494.
74. Picard N., Saint-André L., Henry M. Manual for Building Tree Volume and Biomass Allometric Equations: From Field Measurement to Prediction 2012, FAO, Rome, and CIRAD, Montpellier, 215 pp.
75. Pilli P., Anfodillo T., Carrer M. Towards a functional and simplified allometry for estimating forest biomass. For. Ecol. Manage. 2006, 237:583-593.
76. Piñeiro G., Perelman S., Guerschman J.P., Paruelo J.M. How to evaluate models: observed vs predicted or predicted vs observed. Ecol. Model. 2008, 216:316-322.
77. Pretzsch H., Dieler J. Evidence of variant intra- and interspecific scaling of tree crown structure and relevance for allometric theory. Oecologia 2012, 169:637-649.
78. Price C.A., Enquist B.J., Savage V.M. A general model for allometric covariation in botanical form and function. Proc. Natl. Acad. Sci. 2007, 104:13204-13209.
79. Price C.A., Ogle K., White E.P., Weitz J.S. Evaluating scaling models in biology using hierarchical Bayesian approaches. Ecol. Lett. 2009, 12:641-651.
80. Russo S.E., Wiser S.K., Coomes D.A. A re-analysis of growth-size scaling relationships of woody plant species. Ecol. Lett. 2008, 11:311-312.
81. Rutishauser E., Noor'an F., Laumonier Y., Halperin J., Hergoualc'h Rufi'ie K., Verchot L. Generic allometric models including height best estimate forest biomass and carbon stocks in Indonesia. For. Ecol. Manage. 2013, 307:219-225.
82. Sawadogo L., Savadogo P., Tiveau D., Dayamba S.D., Zida D., Nouvellet Y., Oden P.C., Guinko S. Allometric prediction of above-ground biomass of eleven woody tree species in the Sudanian savanna-woodland of West Africa. J. Forest. Res. 2010, 21:475-481.
83. Segura M., Kanninen M. Allometric models for tree volume and total aboveground biomass in a tropical humid forest in Costa Rica. Biotropica 2005, 37:2-8.
84. Shea B.T. Bivariate and multivariate growth allometry: statistical and biological considerations. J. Zool. 1985, 206:367-390.
85. Singh V., Tewari A., Kushwaha S.P.S., Dadhwal V.K. Formulating allometric equations for estimating biomass and carbon stock in small diameter trees. For. Ecol. Manage. 2011, 261:1945-1949.
86. Somogyi Z., Cienciala E., Mäkipä P., Muukkonen P., Lehtonen A., Weiss P. Indirect methods of large-scale forest biomass estimation. Eur. J. Forest. Res. 2007, 126:197-207.
87. Stephenson N.L., Das A.J., Condit R., Russo S.E. Rate of tree carbon accumulation increases continuously with tree size. Nature 2014, 507:90-93.
88. Taskinen S., Warton D.I. Robust tests for one or more allometric lines. J. Theor., Biol. 2013, 333:38-46.
89. Ter-Mikaelian M.T., Korzukhin M.D. Biomass equations for sixty-five North American tree species. For. Ecol. Manage. 1997, 97:1-24.
90. Tredennick A.T., Bentley L.P., Hanan N.P. Allometric convergence in savanna trees and implications for the use of plant scaling models in variable ecosystems. PLoS ONE 2013, 8(3):e58241.
91. van Breugel M., Ransijn J., Craven D., Bongers F., Hall J.S. Estimating carbon stock in secondary forests: Decisions and uncertainties associated with allometric biomass models. For. Ecol. Manage. 2011, 262:1648-1657.
92. Vieilledent G., Vaudry R., Andriamanohisoa S.F.D., Rakotonarivo S.O., Randrianasolo Z.H., et al. A universal approach to estimate biomass and carbon stock in tropical forests using generic allometric models. Ecol. Appl. 2012, 22:572-583.
93. Walker, S.M., Pearson, T., Casarim, F.M., Harris, H., Petrova, S., Grais, A., Swails, E., Netzer, M., Goslee, K.M., Brown, S., 2012. Standard Operating Procedures for Terrestrial Carbon Measurement, Version 2012. Winrock International.
94. Warton D.I., Wright I.J., Falster D.S., Westoby M. Bivariate line fitting methods for allometry. Biol. Rev. 2006, 85:259-291.
95. Watt M.S., Kirschbaum M.U.F. Moving beyond simple linear allometric relationships between tree height and diameter. Ecol. Model. 2011, 222:3910-3916.
96. West G.B., Brown J.H., Enquist B.J. The fourth dimension of life: fractal geometry and allometric scaling of organisms. Science 1999, 284:1677-1679.
97. West G.B., Enquista B.J., Browna J.H. A general quantitative theory of forest structure and dynamics. Proc. Natl. Acad. Sci. USA 2009, 106:7040-7045.
98. Wiemann, M.C., Williamson, G.B., 2014. Wood Specific Gravity Variation with Height and its Implications for Biomass Estimation. Forest Products Laboratory Research Paper FPL-RP-677. USD, Forest Service, Madison, WI, 9 p.
99. Xiao X., White E.P., Hooten M.B., Durham S.L. On the use of log-transformation vs. nonlinear regression for analyzing biological power laws. Ecology 2011, 92:1887-1894.
100. Yang Y., Luo Y. Isometric biomass partitioning pattern in forest ecosystems: evidence from temporal observations during stand development. J. Ecol. 2011, 99:431-437.
101. Yao X., Fu B., Lu Y., Sun F., Wang S., et al. Comparison of four spatial interpolation methods for estimating soil moisture in a complex terrain catchment. PLoS ONE 2013, 8(1):e54660.
102. Zapata-Cuartas M., Sierra C., Alleman L. Probability distribution of allometric coefficients and Bayesian estimation of aboveground tree biomass. For. Ecol. Manage. 2012, 277:173-179.
103. Zhao F., Guo Q., Kelly M. Allometric equation choice impacts lidar-based forest biomass estimates: a case study from the Sierra National Forest, CA. Agric. Forest. Meteorol. 2012, 165:64-72.
104. Zianis D. Predicting mean aboveground forest biomass and its associated variance. For. Ecol. Manage. 2008, 256:1400-1407.
105. Zianis D., Mencuccini M. On simplifying allometric analyses of forest biomass. For. Ecol. Manage. 2004, 187:311-332.