Adam NS, Jusoh I. Allometric model for predicting aboveground biomass and carbon stock of Acacia plantations in Sarawak, Malaysia. Bioresources 2018; 13(4): 7381-7394. https://doi.org/10.15376/biores.13.4.7381-7394

Aliffia A, Karnaningroem, N. Simulation of pollution load capacity using QUAL2Kw model in Kali Surabaya River (Cangkir- Sepanjang segment). IOP Conference Series: Earth and Environmental Science 2019; 259 012019. https://doi.org/10.1088/1755-1315/259/1/012019

American Society for Testing and Materials -ASTM. D-2395-17: Standard test methods for specific gravity of wood and wood-based materials. Philadelphia; 2017. https://doi.org/10.1520/D2395-17

Barrios A, López AM, Nieto V. Predicting merchantable volumes of Eucalyptus grandis through total volume and volume-ratio models. Colombia Forestal 2014; 17(2): 137-149. https://doi.org/10.14483/udistrital.jour.colomb.for.2014.2.a01

Burkhart HE, Tomé M. Modeling forest trees and stands. Dordrecht: Springer; 2012. https://doi.org/10.1007/978-90-481-3170-9

Burnham KP, Anderson DR. Model selection and multimodel inference: a practical information-theoretic approach. Fort Collins: Springer Science & Business Media; 2002.

Cuong L, Hung B, Bolanle-Ojo OT, Xu X, Thanh N, Chai L, et al. Biomass and carbon storage in an age-sequence of Acacia mangium plantation forests in Southeastern region, Vietnam. Forest Systems 2020; 29(2): e009. https://doi.org/10.5424/fs/2020292-16685

Despotovic M, Nedic V, Despotovic D, Cvetanovic S. Evaluation of empirical models for predicting monthly mean horizontal diffuse solar radiation. Renewable and Sustainable Energy Reviews 2016; 56:246-260. https://doi.org/10.1016/j.rser.2015.11.058

Douterlungne D, Herrera-Gorocica AM, Ferguson BG, Siddique I, Soto-Pinto L. Allometric equations used to estimate biomass and carbon in four neotropical tree species with restoration potential. Agrociencia 2013; 47:385-397.

Dutcă I, McRoberts RE, Næsset E, Blujdea VNB. Accommodating heteroscedasticity in allometric biomass models. Forest Ecology and Management 2022, 505, 119865. https://doi.org/10.1016/j.foreco.2021.119865 .

Dutcă I, McRoberts RE, Næsset E, Blujdea VNB. A practical measure for determining if diameter (D) and height (H) should be combined into D ² H in allometric biomass models. Forestry 2019; 92, 627–634. https://doi.org/10.1093/forestry/cpz041 .

Espitia M, Murillo O, Castillo C, Araméndiz H, Paternina N. Ganancia genética esperada en la selección de acacia (Acacia mangium Willd.) en Córdoba (Colombia). Revista U.D.C.A Actualidad & Divulgación Científica 2010; 13(2): 99-107. https://doi.org/10.31910/rudca.v13.n2.2010.736

FAO. El estado de los bosques del mundo 2022. Vías forestales hacia la recuperación verde y la creación de economías inclusivas, resilientes y sostenibles. Roma: FAO; 2022. https://doi.org/10.4060/cb9360es

Giraldo LA, Zapata M, Montoya E. Estimación de la captura y flujo de carbono en silvopastoreo de Acacia mangium asociada con Brachiaria dyctioneura en Colombia. Pastos y Forrajes 2006; 29(4): 421-435.

Government of Colombia. Actualized Nationally Determined Contribution (NDC). 2020. [cited 2023 May 3]. Available from: https://unfccc.int/sites/default/files/NDC/2022-06/NDC%20actualizada%20de%20Colombia.pdf .

Heriansyah I, Miyakuni K, Kato T, Kiyono Y, Kanazawa Y. Growth characteristics and biomass accumulations of Acacia mangium under different management practices in Indonesia. Journal of Tropical Forest Science 2007; 19(4): 226–235. Retrieved from https://jtfs.frim.gov.my/jtfs/article/view/749

Huynh T, Lee DJ, Applegate G, Lewis T. Field methods for above and belowground biomass estimation in plantation forests. MethodsX 2021; 8:101192. https://doi.org/10.1016/j.mex.2020.101192

Huynh T, Lewis T, Applegate G, Pachas ANA, Lee DJ. Allometric equations to estimate aboveground biomass in spotted gum (Corymbia citriodora Subspecies variegata) Plantations in Queensland. Forests 2022; 13:486. https://doi.org/10.3390/f13030486

Instituto de Hidrología, Meteorología y Estudios Ambientales – IDEAM. Normales climatológicas 1981- 2010. [cited 2023 May 3]. Available from: http://www.ideam.gov.co/web/tiempo-y-clima/clima

Intergovernmental Panel on Climate Change. Good practice guidance for land use, land-use change and forestry. Japan: Institute for Global Environmental Strategies (IGES); 2007.

Intergovernmental Panel on Climate Change. 2019 Refinement to the 2006 IPCC Guidelines for National Greenhouse Gas Inventories. In K. Tanabe, T. G. Tanabe, J. K. Machado, Y. Pan, & L. Goldberg (Eds.), IPCC guidelines for national greenhouse gas inventories (Vol. 1, pp. 1-142); 2019.

Kachaka EY, Poirier V, Munson AD, Khasa DP. Evaluation of an Acacia mangium Provenance Trial after Seven Years, on the Ibi - Batéké Plateau, Democratic Republic of the Congo. Tropicultura 2021; 39(1): 1740. https://doi.org/10.25518/2295-8010.1740

Koutika LS, Richardson DM. Acacia mangium Willd: benefits and threats associated with its increasing use around the world. Forest Ecosystems 2019; 6:2. https://doi.org/10.1186/s40663-019-0159-1

Kozak A, Kozak, R. Does cross validation provide additional information in the evaluation of regression models? Canadian Journal of Forest Research 2003; 33: 976–987. https://doi.org/10.1139/x03-022 .

López AM, Trincado G, Barrios A, Nieto V. Modelos regionales de altura–diámetro para plantaciones jóvenes de Eucalyptus tereticornis en la costa atlántica colombiana. Bosque 2013; 34(2): 233-241. https://doi.org/10.4067/S0717-92002013000200012

Ministerio de Agricultura y Desarrollo Rural - MADR. Séptimo boletín estadístico forestal, marzo 2023. Bogotá: Ministerio de Agricultura y Desarrollo Rural; 2023.

Miyakuni K, Heriansyah Ika, Heriyanto NM, Kiyono Y. Allometric biomass equations, biomass expansion and root-to-shoot ratios of planted Acacia mangium Willd. forests in West Java, Indonesia. Journal of forest Planning 2004; 10, 69-76.

Mulatu A, Negash M, Asrat Z. Species-specific allometric models for reducing uncertainty in estimating above ground biomass at Moist Evergreen Afromontane Forest of Ethiopia. Scientific Reports 2024; 14, 1147. https://doi.org/10.1038/s41598-023-51002-6

Nogueira FCB, Dobe EK, Filho JBS, Rodrigues LS. Allometric equations to estimate aboveground biomass of Dalbergia cearensis species in the Brazilian seasonally dry tropical forest. Forest Ecology and Management 2021; 484, 118920. https://doi.org/10.1016/j.foreco.2020.118920

Payn T, Carnus JM, Freer-Smith P, Kimberley M, Kollert W, Liu S, et al. Changes in planted forests and future global implications. Forest Ecology and Management 2015; 352:57-67. https://doi.org/10.1016/j.foreco.2015.06.021

Picard N, Saint-André L, Henry M. Manual for building tree volume and biomass allometric equations: from field measurement to prediction. Rome: Food and Agricultural Organization of the United Nations; 2012.

Picard N, Rutishauser E, Ploton P, Ngomanda A, Henry M. Should tree biomass allometry be restricted to power models? Forest Ecology and Management 2015; 353: 156–163. https://doi.org/10.1016/j.foreco.2015.05.035

Pinheiro JC, Bates DM. Mixed-effects models in S and S-PLUS. Springer; 2000.

R Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; 2023. Available from: https://www.r-project.org/ .

Reyes G, Carmona SL, Fernández ME. Physiological and exploitation aspects of Acacia mangium Willd. A review. Revista colombiana de ciencias hortícolas 2018; 12(1):244-253. https://doi.org/10.17584/rcch.2018v12i1.7340

Romero M. Resumen publico plan de manejo forestal Aldea Forestal S.A.: en cumplimiento del estándar FSC®. [cited 2023 May 3]. Available from: https://forliance.com/wp-content/uploads/2021/10/SIG-PN-Resumen-Publico-V3-OCT-2021.pdf .

Shan, G. Monte Carlo cross-validation for a study with binary outcome and limited sample size. BMC Medical Informatics and Decision Making 2022; 22, 270. https://doi.org/10.1186/s12911-022-02016-z

Shi Y, Wang Z, Zhang G, Wei X, Ma W, Yu H. Evaluating the Research Status of the Remote Sensing-Mediated Monitoring of Forest Biomass: A Bibliometric Analysis of WOS. Forests 2024; 15(3):524. https://doi.org/10.3390/f15030524

Tonini H, Schwengber DR, Morales MM, Magalhães CAS, Oliveira JMF. Growth, biomass, and energy quality of Acacia mangium timber grown at different spacings. Pesquisa Agropecuária Brasileira 2018; 53(7): 791-799. https://doi.org/10.1590/S0100-204X2018000700002

Torres DA, Del Valle JI. Growth and yield modelling of Acacia mangium in Colombia. New Forests 2007; 34:293–305. https://doi.org/10.1007/s11056-007-9056-5

Traoré S, Djomo AN, N’guessan AK, Coulibaly B, Ahoba A, Gnahoua GM, et al. Stand structure, allometric equations, biomass and carbon sequestration capacity of Acacia mangium Wild. (Mimosaceae) in Côte d’Ivoire. Open Journal of Forestry 2018; 8:42-60. https://doi.org/10.4236/ojf.2018.81004

Xiao L, Neigh CSR, Pardini M, Forkel M. Estimating forest height and above-ground biomass in tropical forests using P-band TomoSAR and GEDI observations, International Journal of Remote Sensing 2024; 45(9): 3129-3148. https://doi.org/10.1080/01431161.2024.2343134

Xu QS, Liang YZ. Monte Carlo cross validation. Chemometrics and Intelligent Laboratory Systems 2001; 56: 1–11. https://doi.org/10.1016/S0169-7439(00)00122-2