JUAN PEDRO
MAJADA GUIJO
Investigador/a
Publicaciones (105) Publicaciones de JUAN PEDRO MAJADA GUIJO
2024
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Adaptive potential of maritime pine under contrasting environments
BMC Plant Biology, Vol. 24, Núm. 1
2022
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Automatic Assessment of Individual Stem Shape Parameters in Forest Stands from TLS Point Clouds: Application in Pinus pinaster
Forests, Vol. 13, Núm. 3
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Canopy characterization of sweet chestnut coppice in the north of spain from lidar data
European Journal of Forest Research, Vol. 141, Núm. 2, pp. 267-279
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Establecimiento de una red experimental de ensayos para evaluar la gestión nutricional de plantaciones de Eucalyptus globulus en Asturias
Revista Montes, Núm. 148, pp. 30-36
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Local seed sourcing for sustainable forestry
PLoS ONE, Vol. 17, Núm. 12 December
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Polygenic adaptation and negative selection across traits, years and environments in a long-lived plant species (Pinus pinaster Ait., Pinaceae)
Molecular Ecology, Vol. 31, Núm. 7, pp. 2089-2105
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Sistemas experimentales para la evaluación precoz de los recursos genéticos de Pinus pinaster Ait.
Tecnología agroalimentaria: Boletín informativo del SERIDA, Núm. 26, pp. 10-19
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Straightening the crooked: Intraspecific divergence of stem posture control and associated trade-offs in a model conifer
Journal of Experimental Botany, Vol. 73, Núm. 4, pp. 1222-1235
2021
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An algorithm for the automatic parametrization of wood volume equations from Terrestrial Laser Scanning point clouds: application in Pinus pinaster
GIScience and Remote Sensing, Vol. 58, Núm. 7, pp. 1130-1150
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Desarrollo de herramientas de gestión en masas de monte bajo de castaño (Castanea sativa Mill.) en el principado de Asturias
Revista Montes, Núm. 145, pp. 34-39
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Residual pyrolysis biochar as additive to enhance wood pellets quality
Renewable Energy, Vol. 180, pp. 850-859
2020
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Assessing canopy responses to thinnings for sweet chestnut coppice with time-series vegetation indices derived from Landsat-8 and Sentinel-2 imagery
Remote Sensing, Vol. 12, Núm. 18
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Improving spatial synchronization between X-ray and near-infrared spectra information to predict wood density profiles
Wood Science and Technology, Vol. 54, Núm. 5, pp. 1151-1164
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Methodology optimization for the analysis of phenolic compounds in chestnut (Castanea sativa Mill.)
Food science and technology international = Ciencia y tecnología de alimentos internacional, Vol. 26, Núm. 6, pp. 520-534
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Which matters more for wood traits in Pinus halepensis Mill., provenance or climate?
Annals of Forest Science, Vol. 77, Núm. 2
2019
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Development of a dynamic growth model for sweet chestnut coppice: A case study in Northwest Spain
Ecological Modelling, Vol. 409
2018
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Assessing the effect of pruning and thinning on crown fire hazard in young Atlantic maritime pine forests
Journal of Environmental Management, Vol. 205, pp. 9-17
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Do common silvicultural treatments affectwood density of mediterranean montane pines?
Forests, Vol. 9, Núm. 2
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Minipropagación de plantas forestales
Tecnología agroalimentaria: Boletín informativo del SERIDA, Núm. 20, pp. 28-36
2017
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A GIS methodology for optimal location of a wood-fired power plant: Quantification of available woodfuel, supply chain costs and GHG emissions
Journal of Cleaner Production, Vol. 157, pp. 201-212