National Forest Inventories are important primary data sources for large-scale forest resource surveys, in which volume estimates of sampled trees are essential for quantitative analysis. Volume prediction models in natural forests are scarce in Brazil due to legal restrictions for cutting trees, especially in the Atlantic Forest. This study aimed to fit volume models for the main forest types and timber species of the Atlantic Forest in Rio de Janeiro state, considering two hypotheses: (I) generic volume models provide greater generalizability of estimates; however, (II) they may reduce the accuracy of forest type- and species-specific predictions. Four linear models with logarithmic transformation of variables were evaluated to fit volume models for generic and specific datasets, which correspond to the main forest types and timber species. Goodness-of-fit statistics were calculated to compare the accuracy and efficiency of the models, and selected models were validated through leave-one-out cross-validation procedures. The estimates obtained by generic and specific models were compared by non-parametric hypothesis tests. Generic models showed similar predictions to the specific models for forest types and timber species, with similar potential for stem and total volume predictions. Therefore, generic models can be used for Atlantic Forests in Rio de Janeiro state, while specific models are recommended to obtain more detailed local estimates.
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Citation
Cysneiros VC, Gaui TD, Silveira Filho TB, Pelissari AL, Machado SA, De Carvalho DC, Moura TA, Amorim HB (2020). Tree volume modeling for forest types in the Atlantic Forest: generic and specific models. iForest 13: 417-425. - doi: 10.3832/ifor3495-013
Academic Editor
Nicola Puletti
Paper history
Received: May 05, 2020
Accepted: Jul 08, 2020
First online: Sep 16, 2020
Publication Date: Oct 31, 2020
Publication Time: 2.33 months
© SISEF - The Italian Society of Silviculture and Forest Ecology 2020
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This article is distributed under the terms of the Creative Commons Attribution-Non Commercial 4.0 International (https://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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(1)
Akindele SO, LeMay VM (2006)Development of tree volume equations for common timber species in the tropical rain forest area of Nigeria. Forest Ecology and Management 226: 41-48.
CrossRef |
Gscholar
(2)
Alvares CA, Stape JL, Sentelhas PC, De Moraes Gonçalves JL, Sparovek G (2013)Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift 22: 711-728.
CrossRef |
Gscholar
(3)
Alves LF, Santos FAM (2002)Tree allometry and crown shape of four tree species in Atlantic rain forest, south-east Brazil. Journal of Tropical Ecology 18: 245-260.
CrossRef |
Gscholar
(4)
Assis MA, Prata EMB, Pedroni F, Sanchez M, Eisenlohr PV, Martins FR, Santos FAM, Tamashiro JY, Alves LF, Vieira SA, Piccolo MDC, Martins SC, Camargo PB, Carmo JB, Simões E, Martinelli LA, Joly CA (2011)Florestas de restinga e de terras baixas na planície costeira do sudeste do Brasil: vegetação e heterogeneidade ambiental [Restinga and Lowland forests in coastal plain of southeastern Brazil: vegetation and environmental heterogeneity]. Biota Neotropica 11: 103-121. [in Portuguese]
CrossRef |
Gscholar
(5)
Avery TE, Burkhart HE (2015)Forest measurements (5th edn). Waveland Press Inc., Long Grove, IL, USA, pp. 456.
Online |
Gscholar
(6)
Bennett ND, Croke BFW, Guariso G, Guillaume JHA, Hamilton SH, Jakeman AJ, Marsili-Libelli S, Newham LTH, Norton JP, Perrin C, Pierce SA, Robson B, Seppelt R, Voinov AA, Fath BD, Andreassian V (2013)Characterising performance of environmental models. Environmental Modelling and Software 40: 1-20.
CrossRef |
Gscholar
(7)
Bergamin R, Müller S, Mello R (2012)Indicator species and floristic patterns in different forest formations in southern Atlantic rainforests of Brazil. Community Ecology 13: 162-170.
CrossRef |
Gscholar
(8)
Boyle B, Hopkins N, Lu Z, Raygoza Garay JA, Mozzherin D, Rees T, Matasci N, Narro ML, Piel WH, Mckay SJ, Lowry S, Freeland C, Peet RK, Enquist BJ (2013)The taxonomic name resolution service: an online tool for automated standardization of plant names. BMC Bioinformatics 14: e16.
CrossRef |
Gscholar
(9)
Breusch TS, Pagan AR (1979)A simple test for heteroscedasticity and random coefficient variation. Econometrica 47: 1287-1294.
CrossRef |
Gscholar
(10)
Chave J, Andalo C, Brown S, Cairns MA, Chambers JQ, Eamus D, Fölster H, Fromard F, Higuchi N, Kira T, Lescure J-P, Nelson BW, Ogawa H, Puig H, Riéra B, Yamakura T (2005)Tree allometry and improved estimation of carbon stocks and balance in tropical forests. Oecologia 145: 87-99.
CrossRef |
Gscholar
(11)
Clark ML, Clark DB, Roberts DA (2004)Small-footprint lidar estimation of sub-canopy elevation and tree height in a tropical rain forest landscape. Remote Sensing of Environment 91: 68-89.
CrossRef |
Gscholar
(12)
Cysneiros VC, Mendonça-Junior JDO, Gaui TD, Braz DM (2015)Diversity, community structure and conservation status of an Atlantic Forest fragment in Rio de Janeiro State, Brazil. Biota Neotropica 15: e20140132.
CrossRef |
Gscholar
(13)
Fantini AC, Schuch C, Siminski A, Siddique I (2019)Small-scale management of secondary forests in the Brazilian Atlantic Forest. Floresta e Ambiente 26: e20170690.
CrossRef |
Gscholar
(14)
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, Aragão LEOC, Araujo Murakami A, Arets EJMM, Arroyo L, Aymard CGA, Baker TR, Bánki OS, Berry NJ, Cardozo N, Chave J, Comiskey JA, Alvarez E, Oliveira A, Di Fiore A, Djagbletey G, Domingues TF, Erwin TL, Fearnside PM, França MB, Freitas MA, Higuchi N, Honorio C, Iida Y, Jiménez 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, Peñuela MC, Pitman NCA, Prieto A, Quesada CA, Ramírez F, Ramírez-Angulo H, Reitsma JM, Rudas A, Saiz G, Salomão RP, Schwarz M, Silva N, Silva-Espejo JE, Silveira M, Sonké B, Stropp J, Taedoumg HE, Tan S, Ter Steege H, Terborgh J, Torello-Raventos M, Van Der Heijden GMF, Vásquez R, Vilanova E, Vos VA, White L, Willcock S, Woell H, Phillips OL (2012)Tree height integrated into pantropical forest biomass estimates. Biogeosciences 9: 3381-3403.
CrossRef |
Gscholar
(15)
Fox J, Weisberg S (2019)An R companion to applied regression (3rd edn). SAGE, Los Angeles, USA, pp. 577.
Gscholar
(16)
Gimenez BO, Santos LT, Gebara J, Celes CHS, Durgante FM, Lima AJN, Santos J, Higuchi N (2017)Tree climbing techniques and volume equations for
Eschweilera (Matá-Matá), a hyperdominant genus in the Amazon Forest. Forests 8: 154.
CrossRef |
Gscholar
(17)
Gross J, Ligges U (2015)R package “nortest”: tests for normality (version 1.0-4). Web site.
Online |
Gscholar
(18)
Gschwantner T, Alberdi I, Balázs A, Bauwens S, Bender S, Borota D, Bosela M, Bouriaud O, Cañellas I, Donis J, Freudenschub A, Hervé JC, Hladnik D, Jansons J, Kolozs L, Korhonen KT, Kucera M, Kulbokas G, Kuliesis A, Lanz A, Lejeune P, Lind T, Marin G, Morneau F, Nagy D, Norden-Larsen T, Nunes L, Pantic D, Paulo JA, Pikula T, Redmond J, Rego FC, Riedel T, Saint-André L, Seben V, Sims A, Skudnik M, Solti G, Tomter SM, Twomey M, Westerlund B (2019)Harmonisation of stem volume estimates in European National Forest Inventories. Annals of Forest Science 76: 24.
CrossRef |
Gscholar
(19)
Hunter MO, Keller M, Victoria D, Morton DC (2013)Tree height and tropical forest biomass estimation. Biogeosciences 10: 8385-8399.
CrossRef |
Gscholar
(20)
Jara MC, Henry M, Réjou-Méchain M, Wayson C, Zapata-Cuartas M, Piotto D, Guier FA, Lombis HC, López EC, Lara RC, Rojas KC, Pasquel JDA, Montoya AD, Vega JF, Galo AJ, López OR, Marklund LG, Fuentes JMM, Milla F, Chaidez JJN, Malavassi EO, Pérez J, Zea CR, García LR, Pons RR, Saint-André L, Sanquetta C, Scott C, Westfall J (2015)Guidelines for documenting and reporting tree allometric equations. Annals of Forest Science 72: 763-768.
CrossRef |
Gscholar
(21)
Kitahara F, Mizoue N, Yoshida S (2010)Effects of training for inexperienced surveyors on data quality of tree diameter and height measurements. Silva Fennica 44: 657-667.
CrossRef |
Gscholar
(22)
Kuhn M, Wing J, Weston S, Williams A, Keefer C, Engelhardt A, Cooper T, Mayer Z (2018)R package “caret”: classification and regression training (version v6.0.77). Web site.
Online |
Gscholar
(23)
Laman TG (1995)Safety recommendations for climbing rain forest trees with “single rope technique”. Biotropica 27: 406-409.
CrossRef |
Gscholar
(24)
Magnago LFS, Martins SV, Schaefer CEGR, Neri AV (2013)Structure and diversity of restingas along a flood gradient in southeastern Brazil. Acta Botanica Brasilica 27: 801-809.
CrossRef |
Gscholar
(25)
Mauya EW, Mugasha WA, Zahabu E, Bollandsås OM, Eid T (2014)Models for estimation of tree volume in the Miombo woodlands of Tanzania. Southern Forests 76: 209-219.
CrossRef |
Gscholar
(26)
McRoberts RE, Tomppo EO, Schadauer K, Ståhl G (2012)Harmonizing national forest inventories. Forest Science 58: 189-190.
CrossRef |
Gscholar
(27)
McRoberts RE, Westfall JA (2016)Propagating uncertainty through individual tree volume model predictions to large-area volume estimates. Annals of Forest Science 73: 625-633.
CrossRef |
Gscholar
(28)
Mensah S, Veldtman R, Seifert T (2017)Allometric models for height and aboveground biomass of dominant tree species in South African Mistbelt forests. Southern Forests 79: 19-30.
CrossRef |
Gscholar
(29)
Nascimento LB, Das Neves Brandes AF, Valente FDW, Tamaio N (2017)Anatomical identification of commercialized wood in the state of Rio de Janeiro, Brazil. Brazilian Journal of Botany 40: 291-329.
CrossRef |
Gscholar
(30)
Nettesheim FC, De Menezes LFT, De Carvalho DC, Conde MMS, De Araujo DSD (2010)Influence of environmental variation on Atlantic Forest tree-shrub-layer phytogeography in southeast Brazil. Acta Botanica Brasilica 24: 369-377.
CrossRef |
Gscholar
(31)
Nogueira EM, Fearnside PM, Nelson BW, Barbosa RI, Keizer EWH (2008)Estimates of forest biomass in the Brazilian Amazon: new allometric equations and adjustments to biomass from wood-volume inventories. Forest Ecology and Management 256: 1853-1867.
CrossRef |
Gscholar
(32)
Oliveira LZ, Klitzke AR, Fantini AC, Uller HF, Correia J, Vibrans AC (2018)Robust volumetric models for supporting the management of secondary forest stands in the Southern Brazilian Atlantic Forest. Anais da Academia Brasileira de Ciências 90: 3729-3744.
CrossRef |
Gscholar
(33)
Oliveira-Filho AT, Fontes MAL (2000)Patterns of floristic differentiation among Atlantic Forests in Southeastern Brazil and the influence of climate. Biotropica 32: 793-810.
CrossRef |
Gscholar
(34)
Razali NM, Wah YB (2011)Power comparisons of Shapiro-Wilk, Kolmogorov Smirnov, Lilliefors and Anderson-Darling tests. Journal of Statistical Modeling and Analytics 2: 21-33.
Online |
Gscholar
(35)
Ribeiro MC, Metzger JP, Martensen AC, Ponzoni FJ, Hirota MM (2009)The Brazilian Atlantic Forest: how much is left, and how is the remaining forest distributed? Implications for conservation. Biological Conservation 142: 1141-1153.
CrossRef |
Gscholar
(36)
Ribeiro FCA, Lauria DDC, Silva JIR, Lima ESA, Amaral Sobrinho NMBD, Pérez DV (2018)Baseline and quality reference values for natural radionuclides in soils of Rio de Janeiro State, Brazil. Revista Brasileira de Ciência do Solo 42: e0170146.
CrossRef |
Gscholar
(37)
Rolim SG, Couto HTZD, De Jesus RM, França JT (2006)Modelos volumétricos para a Floresta Nacional do Tapirapé-Aquirí, Serra dos Carajás-PA [Volumetric models for Tapirapé-Aquirí National Forest, Pará, Brazil]. Acta Amazonica 36: 107-114. [in Portuguese]
CrossRef |
Gscholar
(38)
Scaranello MADS, Alves LF, Vieira SA, Camargo PBD, Joly CA, Martinelli LA (2012)Height-diameter relationships of tropical Atlantic moist forest trees in southeastern Brazil. Scientia Agricola 69: 26-37.
CrossRef |
Gscholar
(39)
Scarano FR (2002)Structure, function and floristic relationships of plant communities in stressful habitats marginal to the Brazilian Atlantic rainforest. Annals of Botany 90: 517-524.
CrossRef |
Gscholar
(40)
Scolforo JRS, Oliveira AD, Acerbi-Júnior FW (2008)Equações de volume, peso de matéria seca e carbono para diferentes fisionomias da flora nativa [Volume, dry matter weight and carbon equations for different physiognomies of native flora]. EDUFLA, Lavras, Brazil, pp. 216. [in Portuguese]
Gscholar
(41)
Segura M, Kanninen M (2005)Allometric models for tree volume and total aboveground biomass in a tropical humid forest in Costa Rica. 1: Allometric models of volume and biomass. Biotropica 37: 2-8.
CrossRef |
Gscholar
(42)
Serviço Florestal Brasileiro (2018)Inventário florestal nacional: Rio de Janeiro - principais resultados [Brazilian National Forest Inventory: Rio de Janeiro State - main results]. MMA, Brasília, Brazil, pp.116. [in Portuguese]
Gscholar
(43)
Sileshi GW (2014)A critical review of forest biomass estimation models, common mistakes and corrective measures. Forest Ecology and Management 329: 237-254.
CrossRef |
Gscholar
(44)
Sobral BS, Oliveira-Júnior JF, Gois G, Terassi PMDB, Muniz-Júnior JGR (2018)Spatial temporal and interanual rainfall variability in the state of Rio de Janeiro. Revista Brasileira de Climatologia 22: 281-308.
CrossRef |
Gscholar
(45)
Stoval AEL, Anderson-Teixeira KJ, Shugart HH (2018)Assessing terrestrial laser scanning for developing non-destructive biomass allometry. Forest Ecology and Management 427: 217-229.
CrossRef |
Gscholar
(46)
The Angiosperm Phylogeny Group (2016)An update of the Angiosperm Phylogeny Group classification for the orders and families of flowering plants: APG IV. Botanical Journal of the Linnean Society 181: 1-20.
CrossRef |
Gscholar
(47)
Vibrans AC, Moser P, Oliveira LZ, Maçaneiro JP (2015)Generic and specific stem volume models for three subtropical forest types in southern Brazil. Annals of Forest Science 72: 865-874.
CrossRef |
Gscholar
(48)
Vidal C, Alberdi I, Redmond J, Vestman M, Lanz A, Schadauer K (2016)The role of European national forest inventories for international forestry reporting. Annals of Forest Science 73: 793-806.
CrossRef |
Gscholar
(49)
Willmott CJ (1981)On the validation of models. Physical Geography 2: 184-194.
CrossRef |
Gscholar
(50)
Zambrano-Bigiarini M (2017)R package “hydroGOF”: goodness-of-fit functions for comparison of simulated and observed hydrological time series. Web site.
Online |
Gscholar
