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Improving the robustness of biomass functions: from empirical to functional approaches

Bibliographic reference Hounzandji, Ablo Paul Igor ; Jonard, Mathieu ; Nys, Claude ; Saint-André, Laurent ; Ponette, Quentin. Improving the robustness of biomass functions: from empirical to functional approaches. In: Annals of Forest Science, no. 72(6), p. 795-810 (2015)
Permanent URL http://hdl.handle.net/2078.1/152052
  1. Analla M., Model validation through the linear regression fit to actual versus predicted values, 10.1016/s0308-521x(97)00073-5
  2. André F (2007) Influence of the heterogeneity of canopy structure on the spatio-temporal variability of atmospheric deposition within a mixed oak-beech stand. PhD thesis, Université catholique de Louvain
  3. André Frédéric, Ponette Quentin, Comparison of biomass and nutrient content between oak (Quercus petraea) and hornbeam (Carpinus betulus) trees in a coppice-with-standards stand in Chimay (Belgium), 10.1051/forest:2003042
  4. André Frédéric, Jonard Mathieu, Ponette Quentin, Biomass and nutrient content of sessile oak (Quercus petraea (Matt.) Liebl.) and beech (Fagus sylvatica L.) stem and branches in a mixed stand in southern Belgium, 10.1016/j.scitotenv.2010.02.040
  5. António Nuno, Tomé Margarida, Tomé José, Soares Paula, Fontes Luís, Effect of tree, stand, and site variables on the allometry of Eucalyptus globulus tree biomass, 10.1139/x06-276
  6. AREVALO C, VOLK T, BEVILACQUA E, ABRAHAMSON L, Development and validation of aboveground biomass estimations for four Salix clones in central New York, 10.1016/j.biombioe.2006.06.012
  7. Bartelink H.H., Allometric relationships on biomass and needle area of Douglas-fir, 10.1016/s0378-1127(96)03783-8
  8. Bi H, Turner J, Lambert MJ (2004) Additive biomass equations for native eucalypt forest trees of temperate Australia. Trees 18:467–479. doi: 10.1007/s00468-004-0333-z
  9. Brandeis Thomas J., Delaney Matthew, Parresol Bernard R., Royer Larry, Development of equations for predicting Puerto Rican subtropical dry forest biomass and volume, 10.1016/j.foreco.2006.06.012
  10. Cairns Michael A, Olmsted Ingrid, Granados Julián, Argaez Jorge, Composition and aboveground tree biomass of a dry semi-evergreen forest on Mexico’s Yucatan Peninsula, 10.1016/s0378-1127(03)00229-9
  11. Canadell J. G., Raupach M. R., Managing Forests for Climate Change Mitigation, 10.1126/science.1155458
  12. Carroll Raymond J., Wu C. F. Jeff, Ruppert David, The Effect of Estimating Weights in Weighted Least Squares, 10.1080/01621459.1988.10478699
  13. Carvalho João P., Parresol Bernard R., Additivity in tree biomass components of Pyrenean oak (Quercus pyrenaica Willd.), 10.1016/s0378-1127(02)00549-2
  14. Chave J., Condit R., Aguilar S., Hernandez A., Lao S., Perez R., Error propagation and scaling for tropical forest biomass estimates, 10.1098/rstb.2003.1425
  15. Cienciala E, Apltauer J, Exnerová Z, Tatarinov F (2008) Biomass functions applicable to oak trees grown in Central-European forestry. J For Sci 54:109–120
  16. Dagnelie P (1975) Analyse statistique à plusieurs variables. Presses Agronomiques de Gembloux, Gembloux
  17. Dagnelie P, Palm R, Rondeux J (1999) Tables de cubage des arbres et des peuplements forestiers. Presses Agronomiques de Gembloux, Gembloux
  18. Dent J. B., Blackie M. J., Systems Simulation in Agriculture, ISBN:9789401163750, 10.1007/978-94-011-6373-6
  19. DERET-VARCIN Eliane, Etude comparative de la qualité du bois de trois types de chênes (rouvres, pédonculés et intermédiaires), en forêt de Morimond, 10.1051/forest:19830404
  20. Dh�te Jean-Fran�ois, Hatsch Elvire, Ritti� Daniel, Forme de la tige, tarifs de cubage et ventilation de la production en volume chez le Ch�ne sessile, 10.1051/forest:2000164
  21. Duursma R.A., Marshall J.D., Robinson A.P., Pangle R.E., Description and test of a simple process-based model of forest growth for mixed-species stands, 10.1016/j.ecolmodel.2006.11.032
  22. FAO (2010) Global Forest Resources Assessment 2010—main report. FAO Forestry Paper No. 163. http://www.fao.org/docrep/013/i1757e/i1757e00.htm . Accessed 12 June 2013
  23. Fortin Mathieu, Ningre François, Robert Nicolas, Mothe Frédéric, Quantifying the impact of forest management on the carbon balance of the forest-wood product chain: A case study applied to even-aged oak stands in France, 10.1016/j.foreco.2012.05.031
  24. Genet A., Wernsdörfer H., Jonard M., Pretzsch H., Rauch M., Ponette Q., Nys C., Legout A., Ranger J., Vallet P., Saint-André L., Ontogeny partly explains the apparent heterogeneity of published biomass equations for Fagus sylvatica in central Europe, 10.1016/j.foreco.2010.12.034
  25. Honer T. G., THE USE OF HEIGHT AND SQUARED DIAMETER RATIOS FOR THE ESTIMATION OF MERCHANTABLE CUBIC FOOT VOLUME, 10.5558/tfc40324-3
  26. Huet S, Bouvier A, Poursat M-A, Jolivet E (2004) Statistical tools for nonlinear regression: a pratical guide with S-PLUS and R examples. Springer, New York
  27. Husch B, Miller C, Beers T (1982) Forest mensuration. Wiley, New York
  28. IPCC (2003) Good practice guidance for land use, land-use change and forestry. Institute for Global Environmental Strategies, Hayama
  29. Ketterings Quirine M, Coe Richard, van Noordwijk Meine, Ambagau’ Yakub, Palm Cheryl A, Reducing uncertainty in the use of allometric biomass equations for predicting above-ground tree biomass in mixed secondary forests, 10.1016/s0378-1127(00)00460-6
  30. Lambert M-C, Ung C-H, Raulier F, Canadian national tree aboveground biomass equations, 10.1139/x05-112
  31. Lehtonen A, Mäkipää R, Heikkinen J, Sievänen R, Liski J, Biomass expansion factors (BEFs) for Scots pine, Norway spruce and birch according to stand age for boreal forests, 10.1016/j.foreco.2003.07.008
  32. Loague Keith, Green Richard E., Statistical and graphical methods for evaluating solute transport models: Overview and application, 10.1016/0169-7722(91)90038-3
  33. Longuetaud Fleur, Santenoise Philippe, Mothe Frédéric, Senga Kiessé Tristan, Rivoire Michaël, Saint-André Laurent, Ognouabi Nina, Deleuze Christine, Modeling volume expansion factors for temperate tree species in France, 10.1016/j.foreco.2012.12.023
  34. Mayer D.G., Butler D.G., Statistical validation, 10.1016/0304-3800(93)90105-2
  35. Mayer D.G., Stuart M.A., Swain A.J., Regression of real-world data on model output: An appropriate overall test of validity, 10.1016/s0308-521x(94)90282-8
  36. McKechnie Jon, Colombo Steve, Chen Jiaxin, Mabee Warren, MacLean Heather L., Forest Bioenergy or Forest Carbon? Assessing Trade-Offs in Greenhouse Gas Mitigation with Wood-Based Fuels, 10.1021/es1024004
  37. Návar José, Nájera Juan, Jurado Enrique, Biomass estimation equations in the Tamaulipan thornscrub of north-eastern Mexico, 10.1006/jare.2001.0819
  38. Nelson Bruce W, Mesquita Rita, Pereira Jorge L.G, Garcia Aquino de Souza Silas, Teixeira Batista Getulio, Bovino Couto Luciana, Allometric regressions for improved estimate of secondary forest biomass in the central Amazon, 10.1016/s0378-1127(98)00475-7
  39. Nepveu G (1984) Contrôle héréditaire de la densité et de la rétractibilité du bois de trois espèces de Chêne (Quercus petraea, Quercus robur et Quercus rubra). Silvae Genet 33:110–115
  40. Parresol BR (1999) Assessing tree and stand biomass: a review with examples and critical comparisons. For Sci 45:573–593
  41. Parresol Bernard R, Additivity of nonlinear biomass equations, 10.1139/x00-202
  42. Parresol Bernard R., Hotvedt James E., Cao Quang V., A volume and taper prediction system for bald cypress, 10.1139/x87-042
  43. Pinheiro José C., Bates Douglas M., Mixed-Effects Models in Sand S-PLUS, ISBN:9781441903174, 10.1007/978-1-4419-0318-1
  44. Prisley Stephen P, Mortimer Michael J, A synthesis of literature on evaluation of models for policy applications, with implications for forest carbon accounting, 10.1016/j.foreco.2004.03.038
  45. Ranger Jacques, Marques Renato, Colin-Belgrand Micheline, Flammang Nathalie, Gelhaye Dominique, The dynamics of biomass and nutrient accumulation in a Douglas-fir (Pseudotsuga menziesii Franco) stand studied using a chronosequence approach, 10.1016/0378-1127(94)03469-d
  46. Sabine CL, Heimann M, Artaxo P, Bakker DC, Chen C-TA, Field CB, Gruber N, Le Quéré C, Prinn RG, Richey J (2004) Current status and past trends of the global carbon cycle. Scope-Sci Commitee Probl Environ Int Counc Sci Unions 62:17–44
  47. Saint-André Laurent, M’Bou Armel Thongo, Mabiala André, Mouvondy Welcome, Jourdan Christophe, Roupsard Olivier, Deleporte Philippe, Hamel Olivier, Nouvellon Yann, Age-related equations for above- and below-ground biomass of a Eucalyptus hybrid in Congo, 10.1016/j.foreco.2004.10.006
  48. Sakamoto Y, Ishiguro M, Kitagawa G (1986) Akaike information criterion statistics. Reidel, Dordrecht, Holland
  49. SAS Institute Inc (2011) SAS/ETS OnlineDoc® 9.3. SAS Institute Inc, Cary, NC
  50. Schwarz Gideon, Estimating the Dimension of a Model, 10.1214/aos/1176344136
  51. Seifert T, Schuck J, Block J, Pretzsch H (2006) Simulation von Biomasse-und Nährstoffgehalt von Waldbäumen. Beiträge zur Jahrestagung vom 29:208–223
  52. Spurr SH (1952) Forest inventory. Ronald Press, New York
  53. Suchomel Christian, Pyttel Patrick, Becker Gero, Bauhus Jürgen, Biomass equations for sessile oak (Quercus petraea (Matt.) Liebl.) and hornbeam (Carpinus betulus L.) in aged coppiced forests in southwest Germany, 10.1016/j.biombioe.2012.06.021
  54. Ter-Mikaelian Michael T., Korzukhin Michael D., Biomass equations for sixty-five North American tree species, 10.1016/s0378-1127(97)00019-4
  55. Thornton P.K., Hansen J.W., A note on regressing real-world data on model output, 10.1016/0308-521x(95)00012-t
  56. Vallet Patrick, Dhôte Jean-François, Moguédec Gilles Le, Ravart Michel, Pignard Gérôme, Development of total aboveground volume equations for seven important forest tree species in France, 10.1016/j.foreco.2006.03.013
  57. Vanclay J.K., Skovsgaard J.P., Evaluating forest growth models, 10.1016/s0304-3800(96)01932-1
  58. Wutzler Thomas, Wirth Christian, Schumacher Jens, Generic biomass functions for Common beech (Fagus sylvatica) in Central Europe: predictions and components of uncertainty, 10.1139/x07-194
  59. Zanetto A, Roussel G, Kremer A (1994) Geographic variation of inter-specific differentiation between Quercus robur L. and Quercus petraea (Matt.) Liebl. For Genet 1:111–123