Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios

Manso González, Rubén; Pukkala, Timo; Pardos Mínguez, Marta; Miina, Jari y Calama Sainz, Rafael Argimiro (2013). Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios. "Canadian Journal of Forest Research" ; pp. 250-262. ISSN 2013-0179. https://doi.org/10.1139/cjfr-2013-0179.

Descripción

Título: Modelling Pinus pinea forest management to attain natural regeneration under present and future climatic scenarios
Autor/es:
  • Manso González, Rubén
  • Pukkala, Timo
  • Pardos Mínguez, Marta
  • Miina, Jari
  • Calama Sainz, Rafael Argimiro
Tipo de Documento: Artículo
Título de Revista/Publicación: Canadian Journal of Forest Research
Fecha: 2013
Materias:
Escuela: E.T.S.I. Montes (UPM) [antigua denominación]
Departamento: Silvopascicultura [hasta 2014]
Licencias Creative Commons: Ninguna

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Resumen

Natural regeneration-based silviculture has been increasingly regarded as a reliable option in sustainable forest management. However, successful natural regeneration is not always easy to achieve. Recently, new concerns have arisen because of changing future climate. To date, regeneration models have proved helpful in decision-making concerning natural regeneration. The implementation of such models into optimization routines is a promising approach in providing forest managers with accurate tools for forest planning. In the present study, we present a stochastic multistage regeneration model for Pinus pinea L. managed woodlands in Central Spain, where regeneration has been historically unsuccessful. The model is able to quantify recruitment under different silviculture alternatives and varying climatic scenarios, with further application to optimize management scheduling. The regeneration process in the species showed high between-year variation, with all subprocesses (seed production, dispersal, germination, predation, and seedling survival) having the potential to become bottlenecks. However, model simulations demonstrate that current intensive management is responsible for regeneration failure in the long term. Specifically, stand densities at rotation age are too low to guarantee adequate dispersal, the optimal density of seed-producing trees being around 150 stems·ha−1. In addition, rotation length needs to be extended up to 120 years to benefit from the higher seed production of older trees. Stochastic optimization confirms these results. Regeneration does not appear to worsen under climate change conditions; the species exhibiting resilience worthy of broader consideration in Mediterranean silviculture.

Más información

ID de Registro: 22434
Identificador DC: http://oa.upm.es/22434/
Identificador OAI: oai:oa.upm.es:22434
Identificador DOI: 10.1139/cjfr-2013-0179
URL Oficial: http://www.nrcresearchpress.com/doi/full/10.1139/cjfr-2013-0179#.UwHCa_lcgZ8
Depositado por: Rubén Manso González
Depositado el: 17 Feb 2014 08:04
Ultima Modificación: 21 Abr 2016 14:33
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