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Reproducing reproduction: How to simulate mast seeding in forest models

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  • Vacchiano, Giorgio
  • Ascoli, Davide
  • Berzaghi, Fabio
  • Lucas-Borja, Manuel Esteban
  • Caignard, Thomas
  • Collalti, Alessio
  • Mairota, Paola
  • Palaghianu, Ciprian
  • Reyer, Christopher P.O.
  • Sanders, Tanja G.M.
  • Schermer, Eliane
  • Wohlgemuth, Thomas
  • Hacket-Pain, Andrew

Abstract

Masting is the highly variable and synchronous production of seeds by plants. Masting can have cascading effects on plant population dynamics and forest properties such as tree growth, carbon stocks, regeneration, nutrient cycling, or future species composition. However, masting has often been missing from forest models. Those few that simulate masting have done so using relatively simple empirical rules, and lack an implementation of process-based mechanisms that control such events. Here we review more than 200 published papers on mechanistic formulations of masting, and summarize how the main processes involved in masting and their related patterns can be incorporated in forest models at different degrees of complexity.

Suggested Citation

  • Vacchiano, Giorgio & Ascoli, Davide & Berzaghi, Fabio & Lucas-Borja, Manuel Esteban & Caignard, Thomas & Collalti, Alessio & Mairota, Paola & Palaghianu, Ciprian & Reyer, Christopher P.O. & Sanders, T, 2018. "Reproducing reproduction: How to simulate mast seeding in forest models," Ecological Modelling, Elsevier, vol. 376(C), pages 40-53.
    • Handle: RePEc:eee:ecomod:v:376:y:2018:i:c:p:40-53
    DOI: 10.1016/j.ecolmodel.2018.03.004
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    References listed on IDEAS

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    1. Davide Ascoli & Giorgio Vacchiano & Marco Turco & Marco Conedera & Igor Drobyshev & Janet Maringer & Renzo Motta & Andrew Hacket-Pain, 2017. "Inter-annual and decadal changes in teleconnections drive continental-scale synchronization of tree reproduction," Nature Communications, Nature, vol. 8(1), pages 1-9, December.
    2. Tamburino, Lucia & Bravo, Giangiacomo, 2013. "Mice in Wonderforest: Understanding mast seeding through individual-based modelling," Ecological Modelling, Elsevier, vol. 250(C), pages 34-44.
    3. Fischer, Rico & Bohn, Friedrich & Dantas de Paula, Mateus & Dislich, Claudia & Groeneveld, Jürgen & Gutiérrez, Alvaro G. & Kazmierczak, Martin & Knapp, Nikolai & Lehmann, Sebastian & Paulick, Sebastia, 2016. "Lessons learned from applying a forest gap model to understand ecosystem and carbon dynamics of complex tropical forests," Ecological Modelling, Elsevier, vol. 326(C), pages 124-133.
    4. Kramer, K. & Buiteveld, J. & Forstreuter, M. & Geburek, T. & Leonardi, S. & Menozzi, P. & Povillon, F. & Schelhaas, M.J. & Teissier du Cros, E. & Vendramin, G.G. & van der Werf, D.C., 2008. "Bridging the gap between ecophysiological and genetic knowledge to assess the adaptive potential of European beech," Ecological Modelling, Elsevier, vol. 216(3), pages 333-353.
    5. Wallentin, Gudrun & Tappeiner, Ulrike & Strobl, Josef & Tasser, Erich, 2008. "Understanding alpine tree line dynamics: An individual-based model," Ecological Modelling, Elsevier, vol. 218(3), pages 235-246.
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    1. Végh, Lea & Kato, Tomomichi, 2024. "Modified SEIB-DGVM enables simulation of masting in a temperate forest," Ecological Modelling, Elsevier, vol. 488(C).

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