A new approach to defining rotation ages on the basis of productive and technological aspects. Application to natural Pinus sylvestris L. stands in Central Spain

  1. Rojo-Alboreca, Alberto
  2. García-Villabrille, Juan D.
  3. Corral-Rivas, José J.
  4. Alía, Ricardo
  5. Montero, Gregorio
Revista:
Forest systems

ISSN: 2171-5068

Ano de publicación: 2017

Volume: 26

Número: 2

Tipo: Artigo

DOI: 10.5424/FS/2017262-10628 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Outras publicacións en: Forest systems

Resumo

Aim of study: To propose a new approach to defining rotation ages on the basis of productive and technological aspects and to present an example of application of the methodology to natural Pinus sylvestris stands in relation to silvicultural treatment (light or heavy thinning) and site index.Area of study: Central Spain.Material and methods: We assumed that the price per m3 of logwood suitable for veneer is four times higher than logwood not apt for veneer. Considering the yield distribution for different technological and commercial classes, a model of diameter distributions and yield tables, the variation in an average price index for different age classes, site indexes and silvicultural treatments was calculated. The age at which the price index rises by less than 3%, the proportion of trees with d.b.h. higher than 40 cm, and other aspects such as the possible presence of fungal decay in old-growth stands were also taken into account to establish three criteria for defining rotation ages.Main results: The proposed methodology generates a wide range of rotation ages between 100 and 140 years for lightly thinned stands, and between 90 and 140 years for heavily thinned stands, depending on the site index.Research highlights: The proposed approach is based on technological and productive criteria, with the limitations imposed by sanitary risks. The methodology can be applied to generate rotation ages in relation to different site indexes and silvicultural treatments, provided that the timber market prices and the yield distribution for different technological and commercial classes are known, and that a model of diameter distributions and yield tables are available.

Referencias bibliográficas

  • Álvarez-Taboada MF, 2000. Caracterización de las distribuciones diamétricas de Pinus sylvestris L., en la Sierra de Guadarrama. Proyecto Fin de Carrera. Universidade de Santiago de Compostela, Lugo.
  • Assmann E, 1970. The principles of forest yield study. Pergamon Press Ltd., Oxford, UK. 506 pp.
  • Clutter JL, Fortson JC, Pienaar LV, Brister GH, Bailey RL, 1983. Timber management: A quantitative approach. John Wiley & Sons, Inc., NY, 333 pp.
  • Davis LS, Johnson KN, Bettinger P, Howard TE, 2001. Forest management. McGraw Hill, NY. 804 pp.
  • Del Río M, Montero G, 2001. Modelo de simulación de claras en masas de Pinus sylvestris L. Monografías INIA: Forestal, nº 3. Ministerio de Ciencia y Tecnología, Madrid, Spain. 114 pp.
  • Diaz-Balteiro L, Romero C, 1995. Rentabilidad financiera de especies forestales arbóreas de crecimiento medio y lento en el vigente marco de ayudas públicas. Rev Esp Econ Agrar 171: 85-108.
  • García-Abejón JL, Gómez-Loranca JA, 1984. Tablas de producción de densidad variable para Pinus sylvestris L., en el Sistema Central. Comun INIA: Ser Recur Nat 29: 1-36.
  • González JR, Pukkala T, Palahí M, 2005. Optimising the management of Pinus sylvestris L. stand under risk of fire in Catalonia (north-east of Spain). Ann For Sci 62: 493-501. https://doi.org/10.1051/forest:2005054
  • Mackay E, 1944. Fundamentos y métodos de la ordenación de montes. 1ª parte: Conceptos fundamentales. Ordenación teórica. ETS Ingenieros de Montes, UPM. Madrid, Spain. 336 pp.
  • Montero G, Rojo-Alboreca A, Alía R, 1992. Determinación del turno de Pinus sylvestris L. en el Sistema Central. Montes 29: 42-48.
  • Montero G, Del Río M, Ortega C, 2000. Ensayo de claras en una masa natural de Pinus sylvestris L. en el Sistema Central. Invest Agr: Sist Recur For 9 (1): 147-168.
  • Montero G, Rojo-Alboreca A, Álvarez-Taboada MF, Del Río M, 2001. Aspectos selvícolas y económicos de los pinares de Pinus sylvestris L. en el Sistema Central. Rev Esp Estud Agrosoc Pesqu 193: 27-56.
  • Montero G, Del Río M, Roig S, Rojo-Alboreca A, 2008. Selvicultura de Pinus sylvestris L. In: Compendio de selvicultura aplicada en España; Serrada R, Montero G, Reque JA (eds). pp 503-534. INIA, Ministerio de Educación y Ciencia/Fundación Conde del Valle de Salazar, Madrid, Spain.
  • Palahí M, Pukkala T, 2003. Optimising the management of Scots pine (Pinus sylvestris L.) stands in Spain based on individual-tree models. Ann For Sci 60: 105-114. https://doi.org/10.1051/forest:2003002
  • Rojo-Alboreca A, Montero G, 1996. El pino silvestre en la sierra de Guadarrama. Ministerio de Agricultura Pesca y Alimentación, Madrid. 293 pp.
  • Rojo-Alboreca A, Diéguez-Aranda U, Rodríguez-Soalleiro R, Gadow K von, 2005. Modelling silvicultural and economic alternatives for Scots pine (Pinus sylvestris L.) plantations in north-western Spain. Forestry 78 (4): 385-401. https://doi.org/10.1093/forestry/cpi030
  • Rojo-Alboreca A, Álvarez-Taboada MF, Álvarez-González JG, Gorgoso-Varela JJ, Montero G, 2014. Distribuciones diamétricas para las tablas de producción de Pinus sylvestris L. en la Sierra de Guadarrama. Foresta 61: 34-49.
  • Weibull W, 1951. A statistical distribution function of wide applicability. J Appl Mechan 18 (3): 293-297.
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