DOI:
https://doi.org/10.14483/23448393.16503Published:
2022-04-25Issue:
Vol. 27 No. 2 (2022): May-AugustSection:
Environmental EngineeringValidación de un protocolo fotográfico digital para análisis macroscópico de la anatomía y colorimetría en madera de especies arbóreas de Costa Rica
Validation of a Digital Photographic Protocol for Macroscopic Analysis of Wood Anatomy and Colorimetry of Tree Species in Costa Rica
Keywords:
natural forest, wood anatomy, CIELAB (en).Keywords:
bosque natural, anatomía de la madera, CIELAB (es).Downloads
References
K. Brownson, E. P. Anderson, S. Ferreira, S. Wenger, L. Fowler, and L. German, “Governance of payments for ecosystem services influences social and environmental outcomes in Costa Rica”, Ecol. Econ., vol. 174, 2020. https://doi.org/10.1016/j.ecolecon.2020.106659 DOI: https://doi.org/10.1016/j.ecolecon.2020.106659
M. T. van Wijk, M. Williams, and G. R. Shaver, “Tight coupling between leaf area index and foliage N content in arctic plant communities”, Oecologia, vol. 142, no. 3, pp. 421-427, 2005. https://doi.org/10.1007/s00442-004-1733-x DOI: https://doi.org/10.1007/s00442-004-1733-x
I. Shaver et al., “Coupled social and ecological outcomes of agricultural intensification in Costa Rica and the future of biodiversity conservation in tropical agricultural regions”, Glob. Environ. Chang., vol. 32, pp. 74-86, 2015. https://doi.org/10.1016/j.gloenvcha.2015.02.006 DOI: https://doi.org/10.1016/j.gloenvcha.2015.02.006
I. Havinga, L. Hein, M. Vega-Araya, and A. Languillaume, “Spatial quantification to examine the effectiveness of payments for ecosystem services: A case study of Costa Rica’s Pago de Servicios Ambientales”, Ecol. Indic., vol. 108, 2020. https://doi.org/10.1016/j.ecolind.2019.105766 DOI: https://doi.org/10.1016/j.ecolind.2019.105766
J. Saporiti Machado, F. Pereira, and T. Quilhó, “Assessment of old timber members: Importance of wood species identification and direct tensile test information”, Constr. Build. Mater., vol. 207, pp. 651-660, 2019. https://doi.org/10.1016/j.conbuildmat.2019.02.168 DOI: https://doi.org/10.1016/j.conbuildmat.2019.02.168
M. Fioravanti, G. Di Giulio, and G. Signorini, “A non-invasive approach to identifying wood species in historical musical instruments”, J. Cult. Herit., vol. 27, pp. S70-S77, 2017. https://doi.org/10.1016/j.culher.2016.05.012 DOI: https://doi.org/10.1016/j.culher.2016.05.012
V. de Micco and G. Aronne, “Seasonal dimorphism in wood anatomy of the Mediterranean Cistus incanus L. subsp. incanus”, Trees - Struct. Funct., vol. 23, no. 5, pp. 981-989, 2009. https://doi.org/10.1007/s00468-009-0340-1 DOI: https://doi.org/10.1007/s00468-009-0340-1
K. Kobayashi, S.-W. Hwang, T. Okochi, W.-H. Lee, and J. Sugiyama, “Non-destructive method for wood identification using conventional X-ray computed tomography data”, J. Cult. Herit., vol. 38, pp. 88-93, 2019. https://doi.org/10.1016/j.culher.2019.02.001 DOI: https://doi.org/10.1016/j.culher.2019.02.001
G. Giachi, M. C. Guidotti, S. Lazzeri, L. Sozzi, and N. Macchioni, “Wood identification of the headrests from the collection of the Egyptian Museum in Florence”, J. Archaeol. Sci. Reports, vol. 9, pp. 340-346, 2016. https://doi.org/10.1016/j.jasrep.2016.08.027 DOI: https://doi.org/10.1016/j.jasrep.2016.08.027
A. Glabasnia, and T. Hofmann, “Sensory-directed identification of taste-active ellagitannins in American (Quercus alba L.) and European oak wood (Quercus robur L.) and quantitative analysis in bourbon whiskey and oak-matured red wines”, J. Agric. Food Chem., vol. 54, no. 9, pp. 3380-3390, 2006. https://doi.org/10.1021/jf052617b DOI: https://doi.org/10.1021/jf052617b
F. Reinig et al., “Introducing anatomical techniques to subfossil wood”, Dendrochronologia, vol. 52, pp. 146-151, 2018. https://doi.org/10.1016/j.dendro.2018.10.005 DOI: https://doi.org/10.1016/j.dendro.2018.10.005
X. Tang, G. Zhao, and L. Ping, “Wood identification with PCR targeting noncoding chloroplast DNA”, Plant Mol. Biol., vol. 77, no. 6, pp. 609-617, 2011. https://doi.org/10.1007/s11103-011-9837-2 DOI: https://doi.org/10.1007/s11103-011-9837-2
D. A. Ayala-Usma, R. E. Lozano-Gutiérrez, and C. González Arango, “Wood anatomy of two species of the genus Chrysochlamys (Clusiaceae: Clusioideae: Clusieae) from the northern Andes of Colombia”, Heliyon, vol. 5, no. 7, 2019. https://doi.org/10.1016/j.heliyon.2019.e02078 DOI: https://doi.org/10.1016/j.heliyon.2019.e02078
I. Malik, Ł. Pawlik, A. Ślęzak, and M. Wistuba, “A study of the wood anatomy of Picea abies roots and their role in biomechanical weathering of rock cracks”, Catena, vol. 173, pp. 264-275, 2019. https://doi.org/10.1016/j.catena.2018.10.018 DOI: https://doi.org/10.1016/j.catena.2018.10.018
C. P. Pérez-Olvera y R. Dávalos-Sotelo, “Algunas características anatómicas y tecnológicas de la madera de 24 especies de Quercus (encinos) de México”, Madera y Bosques, vol. 14, no. 3, pp. 43-80, 2008. https://doi.org/10.21829/myb.2008.1431206 DOI: https://doi.org/10.21829/myb.2008.1431206
V. De Micco, G. Aronne, and P. Baas, “Wood anatomy and hydraulic architecture of stems and twigs of some Mediterranean trees and shrubs along a mesic-xeric gradient”, Trees - Struct. Funct., vol. 22, no. 5, pp. 643-655, 2008. https://doi.org/10.1007/s00468-008-0222-y DOI: https://doi.org/10.1007/s00468-008-0222-y
J. L. Marcelo-Peña, L. Santini, and M. Tomazello Filho, “Wood anatomy and growth rate of seasonally dry tropical forest trees in the Marañón River Valley, northern Peru”, Dendrochronologia, vol. 55, pp. 135-145, 2019. https://doi.org/10.1016/j.dendro.2019.04.008 DOI: https://doi.org/10.1016/j.dendro.2019.04.008
F. Ma, and A. Huang, “Rapid identification and quantification three chicken-wing woods of Millettia leucantha, Millettia laurentii and Cassia siamea by FT-IR and 2DCOS-IR”, J. Mol. Struct., vol. 1166, pp. 164-168, 2018. https://doi.org/10.1016/j.molstruc.2018.04.037 DOI: https://doi.org/10.1016/j.molstruc.2018.04.037
A. Pacheco, J. J. Camarero, M. Pompa-García, G. Battipaglia, J. Voltas, and M. Carrer, “Growth, wood anatomy and stable isotopes show species-specific couplings in three Mexican conifers inhabiting drought-prone areas”, Sci. Total Environ., vol. 698, 2020. https://doi.org/10.1016/j.scitotenv.2019.134055 DOI: https://doi.org/10.1016/j.scitotenv.2019.134055
I. G. Andrade Bueno et al., “Wood anatomy of field grown eucalypt genotypes exhibiting differential dieback and water deficit tolerance”, Curr. Plant Biol., vol. 22, 2020. https://doi.org/10.1016/j.cpb.2020.100136 DOI: https://doi.org/10.1016/j.cpb.2020.100136
J. C. Valverde, D. Arias, E. Mata, G. Figueroa y N. Zamora. “Determinación de las condiciones fotográficas óptimas para la caracterización anatómica de diez especies maderables de Costa Rica“ Rev. Cubana Cien. For. vol. 8, no. 3, pp. 439-455, 2020. http://cfores.upr.edu.cu/index.php/cfores/article/view/613
J. C. Valverde et al., “Identificación de patrones de reflectancia espectral y colorimétricos en madera seca de Peltogyne purpurea Pittier“ Rev. Cubana Cien. For. vol. 8, no. 2, pp. 262-281, 2020.
G. Figueroa, E. Mata, J. C. Valverde, and D. Arias. “Automated image-based identification of forest species: Challenges and opportunities for 21st century xylotheques“, IWOBI, vol. 1, 2018. https://doi.org/10.1109/IWOBI.2018.8464206 DOI: https://doi.org/10.1109/IWOBI.2018.8464206
G. Figueroa, E. Mata, J. C. Valverde, and D. Arias. “Evaluating the significance of cutting planes of wood samples when training CNNs for forest species identification“, CONCAPAN XXXVIII, vol. 1, 2018. https://doi.org/10.1109/CONCAPAN.2018.8596406 DOI: https://doi.org/10.1109/CONCAPAN.2018.8596406
J. C. Valverde, and D. Arias. “Variation of physiological parameters in juvenile treetops of Eucalyptus tereticornis from a three-dimensional perspective“. Esp. Rev. Multi. Inv, vol. 2, no. 23, 2018. https://doi.org/10.31876/re.v2i23.399 DOI: https://doi.org/10.31876/re.v2i23.399
ASTM. D2244 “Standard Practice for Calculation of Color Tolerances and Color Differences from Instrumentally Measured Color Coordinates”, ASTM International, vol. 1, 2012.
W. Cui, P. Kamdem, and T. Rypstra. “Diffuse reflectance infrared Fourier transform spectroscopy (Drift) and color changes of artificial weathered wood”, Wood Fiber Sci, vol. 36, no. 3, pp. 291-301, 2004.
G. Figueroa, E. Mata, J. C. Valverde, and D. Arias. “using deep convolutional networks for species identification of xylotheque samples“, IWOBI, vol. 1, 2018.
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Copyright (c) 2022 Juan Carlos Valverde, Dagoberto Arias, Geovanni Figueroa, Erick Mata, Nelson Zamora

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