Individual-tree growth system for even-aged Aleppo pine plantations in Aragón, Spain
Abstract
Aim of study: An individual-tree growth system was developed for Aleppo pine (Pinus halepensis Mill.) plantations.
Area of study: Aragón region (Northeast Spain).
Material and methods: Two datasets were used: Second and Third Spanish National Forest Inventories (104 plots with 1,678 trees), and ad hoc permanent plots (58 plots with 1720 trees, including 36 dead trees). Individual tree growth system was based on nine models. Different combinations of yield classes, initial stocking rates, thinning parameters, rotation periods, and age at first thinning were evaluated through the three most representative scenarios: timber production; soil conservation and biodiversity enhancement.
Main results: The nine models demonstrated a significant explanatory power for the data, with R2 values ranging from 0.71 to 0.99. These findings are consistent with previous research, indicating a strong goodness of fit. Additionally, yield tables were developed for the three prevalent silvicultural scenarios. To enhance usability, all models within the system were seamlessly integrated into a web-based application SIMANFOR.
Research highlights: To date, Aleppo pine forest managers in Aragon could only simulate silvicultural scenarios in natural stands. This study provides a new tool for plantations.
Downloads
References
Bolte A, Ammer C, Löf M, Nabuurs GJ, Schall P, Spathelf P, 2009. Adaptive forest management: A prerequisite for sustainable forestry in the face of climate change. In: Sustainable forest management in a changing world: A European perspective, Managing forest ecosystems; Spathelf P (Ed). Springer Netherlands, Dordrecht, pp. 115-139. https://doi.org/10.1007/978-90-481-3301-7_8
Bravo F, Alvarez-Gonzalez JG, Del Rio M, Barrio M, Bonet JA, Bravo-Oviedo A, et al., 2011. Growth and yield models in Spain: Historical overview, contemporary examples and perspectives. Forest Syst 20: 315. https://doi.org/10.5424/fs/2011202-11512
Burkhart HE, Tomé M, 2012. Modeling forest trees and stands. Springer Sci & Bus Media. https://doi.org/10.1007/978-90-481-3170-9
Cabanillas-Saldaña AM, 2010. Bases para la gestión de masas naturales de Pinus halepensis Mill. en el Valle del Ebro. Universidad Politécnica de Madrid.
Crecente-Campo F, Soares P, Tomé M, Diéguez-Aranda U, 2010. Modelling annual individual-tree growth and mortality of Scots pine with data obtained at irregular measurement intervals and containing missing observations. For Ecol Manage 260: 1965-1974. https://doi.org/10.1016/j.foreco.2010.08.044
del Río M, Calama R, Montero G, 2008. Selvicultura de Pinus halepensis Mill. In: Compendio de Selvicultura Aplicada en España; Serrada R, Montero M & Reque JA (eds). Coed. INIA / FUCOVASA, Madrid. pp: 289-312. ISBN: 9788474985214.
Granados ME, Vilagrosa A, Chirino E, Vallejo VR, 2016. Reforestation with resprouter species to increase diversity and resilience in Mediterranean pine forests. For Ecol Manage 362: 231-240. https://doi.org/10.1016/j.foreco.2015.12.020
Hann DW, Hanus ML, 2001. Enhanced mortality equations for trees in the mixed conifer zone of Southwest Oregon. Research Contribution 34. Forest Research Laboratory. Oregon State University.
Herranz J, 2000. Aspectos botánicos y ecológicos del pino carrasco (Pinus halepensis Mill.). Actas de la Reunión sobre Selvicultura del Pino Carrasco. Soc Esp Cienc For 10: 13-17.
Hirigoyen A, Navarro-Cerrillo R, Bagnara M, Franco J, Requin F, Rachid-Casnati C, 2021. Modelling taper and stem volume considering stand density in Eucalyptus grandis and Eucalyptus dunnii. iForest 14: 127-136. https://doi.org/10.3832/ifor3604-014
König LA, Mohren F, Schelhaas MJ, Bugmann H, Nabuurs GJ, 2022. Tree regeneration in models of forest dynamics - Suitability to assess climate change impacts on European forests. For Ecol Manage 520: 120390. https://doi.org/10.1016/j.foreco.2022.120390
Menéndez-Miguélez M, Canga E, Álvarez-Álvarez P, Majada J, 2014. Stem taper function for sweet chestnut (Castanea sativa Mill.) coppice stands in northwest Spain. Ann For Sci 71: 761-770. https://doi.org/10.1007/s13595-014-0372-6
Monserud RA, Sterba H, 1999. Modeling individual tree mortality for Austrian forest species. For Ecol Manage 113: 109-123. https://doi.org/10.1016/S0378-1127(98)00419-8
Murray M, 1986. The yield advantages of artificial regeneration at high latitudes. Gen. Tech. Rep. PNW-GTR-194. USDA, Forest Service, Pacific Northwest Research Station. 60 p. https://doi.org/10.2737/PNW-GTR-194
Therneau T, Atkinson B, Ripley B, 2019. Recursive partitioning and regression trees. R package version 4.1-15.
Vadell E, de-Miguel S, Pemán J, 2016. Large-scale reforestation and afforestation policy in Spain: A historical review of its underlying ecological, socioeconomic and political dynamics. Land Use Policy 55: 37-48. https://doi.org/10.1016/j.landusepol.2016.03.017
Vanclay JK, 1994. Modelling forest growth and yield: applications to mixed tropical forests. CAB International, Wallingford, UK.
Vanclay JK, 2006. Forest growth and yield modeling. In: Encyclopedia of Environmetrics; El-Shaarawi AH & Piegorsch WW (Eds). John Wiley & Sons, Ltd, Chichester, UK, p. vaf011. https://doi.org/10.1002/9780470057339.vaf011
Vuokila Y, 1980. Growth and yield models for conifer cultures in Finland. Comm Inst For Fenn 99: 271.
Copyright (c) 2023 CSIC_INIA

This work is licensed under a Creative Commons Attribution 4.0 International License.
© CSIC. Manuscripts published are the property of Consejo Superior de Investigaciones Científicas, and quoting this source is a requirement for any partial or full reproduction.
Forest Systems is an Open Access Journal. All articles are distributed under the terms of the Creative Commons Attribution 4.0 International (CC BY 4.0) License. You may read here the basic information and the legal text of the license. The indication of the license CC-by must be expressly stated in this way when necessary.