Morphic coefficient of Apuleia leiocarpa (Vogel) J.F. Macbr. according to forest type, Peruvian Amazon

Authors

  • Jorge Santiago Garate Quispe Universidad Nacional Amazónica de Madre de Dios
  • Lili Florez-Castillo Universidad Nacional Amazónica de Madre de Dios

DOI:

https://doi.org/10.29298/rmcf.v14i78.1336

Keywords:

Amazonia, form factor, regression, volume equations

Abstract

The objective of the study was to determine and compare the morphic coefficient (MC) and allometric models in order to estimate the forest volume of Apuleia leiocarpa in two forest types in the Madre de Dios region of the Peruvian Amazonia. A sample size of 42 felled A. leiocarpa trees was used: 22 in low-hill forest, and 20 in low-terrace forest. The diameter at breast height (DBH) and the stem height of each individual were measured, and diameter measurements were taken along the stem every 2 m. The morphic coefficient was determined by forest type, and 11 nonlinear models were assessed for determining the merchantable forest volume. The MC in the low-ill forest is significantly higher than that calculated in the low-terrace forest (t-Student, p<0.01). The ANCOVA showed that the MC varied significantly between the two forest types. The DBH did not exert a significant influence on the MC (p>0.05); however, the interaction between the forest type and the DBH was significant (p<0.05). The best allometric model for estimating the merchantable forest volume was Takata's model for the low-hill forest, while Spurr's model with independent term was the best for the low-terrace forest.

 

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Author Biography

Lili Florez-Castillo, Universidad Nacional Amazónica de Madre de Dios

 

 

 

References

Aguilar R., C. A., A. F. Sequeira G. y E. J. Peralta T. 2017. Factor de forma para la Tectona grandis L.F, empresa MLR-Forestal, Siuna, Costa Caribe Norte de Nicaragua. Ciencia e Interculturalidad 21(2):74-84. Doi: 10.5377/rci.v21i2.5602. DOI: https://doi.org/10.5377/rci.v21i2.5602

Aye, T. N., A. Brännström and L. Carlsson. 2022. Prediction of tree sapwood and heartwood profiles using pipe model and branch thinning theory. Tree Physiology 42(11):2174-2185. Doi: 10.1093/treephys/tpac065. DOI: https://doi.org/10.1093/treephys/tpac065

Berger, P. D., R. E. Maurer and G. B. Celli. 2018. Experimental design, with application in management, engineering, and the sciences. Springer. Boston, MA, United States of America. 639 p. DOI: https://doi.org/10.1007/978-3-319-64583-4

Berrill, J. P., K. L. O’Hara and N. E. Kichas. 2020. Bark thickness in coast redwood (Sequoia sempervirens (D. Don) Endl.) varies according to tree-and crown size, stand structure, latitude and genotype. Forests 11(6):637. Doi: 10.3390/f11060637. DOI: https://doi.org/10.3390/f11060637

Bowman, K. W., S. A. Dale, S. Dhanani, J. Nehru and B. T. Rabishaw. 2022. The degradation of the Amazon rainforest: Regional and global climate implications. In: Ongoma, V. and H. Tabari (Eds.). Climate Impacts on Extreme Weather. Current to Future Changes on a local to Global Scale. Elsevier. Amsterdam, NH, Netherlands. pp. 217-234. DOI: https://doi.org/10.1016/B978-0-323-88456-3.00011-3

Colgan, M. S., T. Swemmer and G. P. Asner. 2014. Structural relationships between form factor, wood density, and biomass in African savanna woodlands. Trees 28:91-102. Doi: 10.1007/s00468-013-0932-7. DOI: https://doi.org/10.1007/s00468-013-0932-7

Costa C., V., S. do Amaral M., A. Libanio P., A. Figueiredo F. and E. Urbano. 2016. Modeling of the commercial volume stock in an ombrophilous forest in the Southwest of the Amazon. Cerne 22(4):457-464. Doi: 10.1590/01047760201622032204. DOI: https://doi.org/10.1590/01047760201622032204

de Azevêdo, T. K. B., J. B. Paes, L. Calegari y J. W. B. do Nascimento. 2014. Relações entre volume e massa da madeira e casca de jurema-preta (Mimosa tenuiflora). Revista Brasileira de Ciências Agrárias 9(1):97-102. Doi: 10.5039/agraria.v9i1a3066. DOI: https://doi.org/10.5039/agraria.v9i1a3066

Del Mar, M. 2021. Lineamientos para la elaboración del Plan Operativo para concesiones forestales con fines maderables. Servicio Nacional Forestal y de Fauna Silvestre. Diario Oficial del Bicentenario El Peruano. https://busquedas.elperuano.pe/normaslegales/aprueban-los-lineamientos-para-la-evaluacion-del-plan-gener-resolucion-no-d000034-2021-midagri-serfor-de-1932808-2/. (15 de noviembre de 2022).

Fan, G., W. Feng, F. Chen, D. Chen, Y. Dong and Z. Wang. 2020. Measurement of volume and accuracy analysis of standing trees using Forest Survey Intelligent Dendrometer. Computers and Electronics in Agriculture 169:105211. Doi: 10.1016/j.compag.2020.105211. DOI: https://doi.org/10.1016/j.compag.2020.105211

Fuentes, E., C. Gómez, D. Pizarro, J. Alegre, … and H. Vásquez. 2022. A review of silvopastoral systems in the Peruvian Amazon region. Tropical Grasslands-Forrajes Tropicales 10(2):78-88. Doi: 10.17138/tgft(10)78-88. DOI: https://doi.org/10.17138/tgft(10)78-88

Furlan G., F., J. R. dos Santos and J. C. Mura. 2010. Eucalyptus biomass and volume estimation using interferometric and polarimetric SAR data. Remote Sensing 2(4):939-956. Doi: 10.3390/rs2040939. DOI: https://doi.org/10.3390/rs2040939

García E., G. G., J. J. García M., J. Hernández R., H. J. Muñoz F., X. García C. y A. Hernández R. 2016. Precisión de los coeficientes y cocientes de forma en la estimación del volumen de Pinus montezumae Lamb. Revista Mexicana de Ciencias Forestales 7(35):19-36. Doi: 10.29298/rmcf.v7i35.72. DOI: https://doi.org/10.29298/rmcf.v7i35.72

Guzmán-Santiago, J. C., O. A. Aguirre-Calderón and B. Vargas-Larreta. 2020. Forest volume estimation techniques with special emphasis on the tropics. Revista Chapingo Serie Ciencias Forestales y del Ambiente 26(2):291-306. Doi: 10.5154/r.rchscfa.2019.07.061. DOI: https://doi.org/10.5154/r.rchscfa.2019.07.061

Ikonen, V. P., S. Kellomäki, H. Väisänen and H. Peltola. 2006. Modelling the distribution of diameter growth along the stem in Scots pine. Trees 20:391-402. Doi: 10.1007/s00468-006-0053-7. DOI: https://doi.org/10.1007/s00468-006-0053-7

InfoStat. 2022. InfoStat (v2022). IS InfoStat Software estadístico. Córdoba, Cba, Argentina. Universidad Nacional de Córdoba. http://www.infostat.com.ar. (15 de noviembre de 2022).

Inpixon. 2022. SigmaPlot (v14). Palo Alto, Ca, United States of America. Inpixon Systat Software Inc. https://systatsoftware.com/. (15 de noviembre de 2022).

Kang, H., X. Wen, X. Deng, L. Chen and F. Xiao. 2021. Heartwood and sapwood variation and development in chenshan red-heart chinese fir (Cunninghamia lanceolata (Lamb.) Hook). Forest Products Journal 71(4):299-308. Doi: 10.13073/FPJ-D-21-00034. DOI: https://doi.org/10.13073/FPJ-D-21-00034

Lozano B., L. A. y J. L. Bonilla V. 2022. Factor de forma para árboles del bosque seco tropical (bs-T) en el norte del Departamento del Tolima-Colombia. Revista Temas Agrarios 27(2):344-353. Doi: 10.21897/rta.v27i2.3136. DOI: https://doi.org/10.21897/rta.v27i2.3136

Malata H., E. S. Ngulube and E. Missanjo. 2017. Site specific stem volume models for Pinus patula and Pinus oocarpa. International Journal of Forestry Research 2017:1-6. Doi: 10.1155/2017/3981647. DOI: https://doi.org/10.1155/2017/3981647

Mendes N., R. G., J. K. Vanclay, A. Figueiredo F., S. do Amaral M., … and L. J. Mazzei de Freitas. 2020. The tree height estimated by non-power models on volumetric models provides reliable predictions of wood volume: The Amazon species height modelling issue. Trees, Forests and People 2:100028. Doi: 10.1016/j.tfp.2020.100028. DOI: https://doi.org/10.1016/j.tfp.2020.100028

Meunpong, P., C. Penboon, N. Kuasakun and C. Wachrinrat. 2021. Tree dimension and environmental correlates of heartwood content in Siamese rosewood (Dalbergia cochinchinensis). Biodiversitas Journal of Biological Diversity 22(6):3297-3303. Doi: 10.13057/biodiv/d220635. DOI: https://doi.org/10.13057/biodiv/d220635

Ministerio de Desarrollo Social y Medio Ambiente (Midsma). 2001. Primer inventario nacional de bosques nativos. Proyecto bosques nativos y áreas protegidas BIRF 4085-AR 1998-2001 República Argentina. Manual de análisis de fustes. Midsma y Secretaría de Desarrollo Sustentable y Política Ambiental. Buenos Aires, BA, Argentina. 39 p. https://www.argentina.gob.ar/sites/default/files/manual_analisis_de_fustes_0.pdf. (15 de noviembre de 2022).

Ministerio del Ambiente (Minam). 2015. Mapa Nacional de Cobertura Vegetal: memoria descriptiva. Ministerio del Ambiente. Lima, LMA, República del Perú. 108 p. https://repositoriodigital.minam.gob.pe/handle/123456789/178. (15 de noviembre de 2022).

Miranda L., F., R. G. Mendes N., F. Emmert, G. G. Alves S., N. A. Moraes C. and I. Souza M. 2021. How many trees are necessary to fit an accurate volume model for the Amazon forest? A site-dependent analysis. Forest Ecology and Management 480:118652. Doi: 10.1016/j.foreco.2020.118652. DOI: https://doi.org/10.1016/j.foreco.2020.118652

Molina-Valero, J. A., U. Diéguez-Aranda, J. G. Álvarez-González, F. Castedo-Dorado and C. Pérez-Cruzado. 2019. Assessing site form as an indicator of site quality in even-aged Pinus radiata D. Don stands in north-western Spain. Annals of Forest Science 76(4):113. Doi: 10.1007/s13595-019-0904-1. DOI: https://doi.org/10.1007/s13595-019-0904-1

Nikita, S., G. Thakur, N. G. Jesubalan, A. Kulkarni, V. B. Yezhuvath and A. S. Rathore. 2022. AI-ML applications in bioprocessing: ML as an enabler of real time quality prediction in continuous manufacturing of mAbs. Computers and Chemical Engineering 164:17896. Doi: 10.1016/j.compchemeng.2022.107896. DOI: https://doi.org/10.1016/j.compchemeng.2022.107896

Ogana, F. N., S. Corral-Rivas and J. J. Gorgoso-Varela. 2020. Nonlinear mixed-effect height-diameter model for Pinus pinaster Ait. and Pinus radiata D. Don. Cerne 26(1):150-161. Doi: 10.1590/01047760202026012695. DOI: https://doi.org/10.1590/01047760202026012695

Pacheco R., D. y C.Vásquez V. y Y. Gallardo V. 2016. Anuario forestal 2015. Ministerio de Agricultura y Riego y Servicio Nacional Forestal y de Fauna Silvestre (Serfor). Lima, LMA, República del Perú. 213 p. https://sinia.minam.gob.pe/documentos/peru-forestal-numeros-2015. (15 de noviembre de 2022).

Piqueras, S., S. Füchtner, R. R. de Oliveira, A. Gómez-Sánchez, ... and L. G. Thygesen. 2019. Understanding the formation of heartwood in larch using synchrotron infrared imaging combined with multivariate analysis and atomic force microscope infrared spectroscopy. Frontiers in Plant Science 10:1701. Doi: 10.3389/fpls.2019.01701. DOI: https://doi.org/10.3389/fpls.2019.01701

R Core Team. 2022. The R Project for Statistical Computing, R: A language and environment for statistical computing (v4.2.2). Vienna, W, Austria. R Foundation for Statistical Computing. https://www.R-project.org/. (15 de noviembre de 2022).

Rachid-Casnati, C., E. G. Mason and R. C. Woollons. 2019. Using soil-based and physiographic variables to improve stand growth equations in Uruguayan forest plantations. iForest-Biogeosciences and Forestry 12(3):237-245. Doi: 10.3832/ifor2926-012. DOI: https://doi.org/10.3832/ifor2926-012

Reis C., L. R., C. J. Fonseca D., J. D. Zea-Camaño, R. Silva O., A. L. Pelissari y M. N. Martins M. 2020. Variabilidad espacial de Swietenia macrophylla en sistema agroforestal de la Amazonia brasileña. Madera y Bosques 26(1):1-14. Doi: 10.21829/myb.2020.2611937. DOI: https://doi.org/10.21829/myb.2020.2611937

Rojas B., N. B., D. A. Cotrina S., E. Barboza C., M. Á. Barrena G., … and R. Salas L. 2020. Current and future distribution of five timber forest species in Amazonas, northeast Peru: Contributions towards a restoration strategy. Diversity 12(8):305. Doi: 10.3390/d12080305. DOI: https://doi.org/10.3390/d12080305

Souza de L., Q., T. A. da Cunha, M. A. Amaro, E. O. Figueiredo y P. R. Feitosa P. 2021. Volume estimate for three timber species with commercial interest from the diameter of the stump. Floresta 51(3):776-784. Doi: 10.5380/rf.v51i3.72945. DOI: https://doi.org/10.5380/rf.v51i3.72945

Tamarit U., J. C., H. M. De los Santos P., A. Aldrete, J. R. Valdez L., H. Ramírez M. y V. Guerra De la C. 2014. Sistema de cubicación para árboles individuales de Tectona grandis L. f. mediante funciones compatibles de ahusamiento-volumen. Revista Mexicana de Ciencias Forestales 5(21):58-74. Doi: 10.29298/rmcf.v5i21.358. DOI: https://doi.org/10.29298/rmcf.v5i21.358

Tito, R., N. Salinas, E. G. Cosio, T. E. Boza E., … and R. M. Roman-Cuesta. 2022. Secondary forests in Peru: differential provision of ecosystem services compared to other post-deforestation forest transitions. Ecology and Society 27(3):12. Doi: 10.5751/ES-13446-270312. DOI: https://doi.org/10.5751/ES-13446-270312

Tlaxcala-Méndez, R. M., H. M. de los Santos-Posadas, P. Hernández-de la Rosa y J. L. López-Ayala. 2016. Variación del factor de forma y el ahusamiento en procedencias de cedro rojo (Cedrela odorata L.). Agrociencia 50(1):89-105. https://www.redalyc.org/articulo.oa?id=30243765007. (15 de noviembre de 2022).

Velioğlu, E., S. T. Güner, H. Karakurt, Y. Taştan, Z. Yavuz and D.Tuğrul. 2023. Relationships between site index and ecological variables of trembling poplar forests (Populus tremula L.) in Türkiye. Environmental Monitoring and Assessment 195(2):308. Doi: 10.1007/s10661-023-10933-3. DOI: https://doi.org/10.1007/s10661-023-10933-3

Yang, B., H. Jia, Z. Zhao, S. Pang and D. Cai. 2020. Horizontal and vertical distributions of heartwood for teak plantation. Forests 11(2):225. Doi: 10.3390/f11020225. DOI: https://doi.org/10.3390/f11020225

Zhang, B., S. Sajjad, K. Chen, L. Zhou, … and Y. Sun. 2020. Predicting tree height-diameter relationship from relative competition levels using quantile regression models for chinese fir (Cunninghamia lanceolata) in Fujian Province, China. Forests 11(2):183. Doi: 10.3390/f11020183. DOI: https://doi.org/10.3390/f11020183

Published

2023-07-20

How to Cite

Garate Quispe, Jorge Santiago, and Lili Florez-Castillo. 2023. “Morphic Coefficient of Apuleia Leiocarpa (Vogel) J.F. Macbr. According to Forest Type, Peruvian Amazon”. Revista Mexicana De Ciencias Forestales 14 (78). México, ME:4-33. https://doi.org/10.29298/rmcf.v14i78.1336.

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