Annals of Forest Science

, Volume 69, Issue 7, pp 845–856

Improving the estimation of landscape scale seed dispersal by integrating seedling recruitment

  • Annabelle Amm
  • Christian Pichot
  • Philippe Dreyfus
  • Hendrik Davi
  • Bruno Fady
Original Paper

DOI: 10.1007/s13595-012-0208-1

Cite this article as:
Amm, A., Pichot, C., Dreyfus, P. et al. Annals of Forest Science (2012) 69: 845. doi:10.1007/s13595-012-0208-1

Abstract

Context

Dispersal and recruitment play a critical role in determining the abundance and the spatial structure of regeneration.

Aim

In this study, we estimated landscape scale seed dispersal using the inverse modeling method by fitting seedling counts to seed tree location and fertility in the European silver fir Abies alba Miller.

Methods

Seed trees and seedlings from three age cohorts were counted in 30 plots on Mont Ventoux (southeastern France) at elevations from 995 to 1,605 m, where the following ecological variables were measured: elevation, slope, aspect, light availability, and tree density. We developed and fitted a dispersal model, including a new parameter, recruitment rate, which depended both on the ecological characteristics of the plots and on seed production.

Results

Elevation was the factor that affected seedling recruitment the most, with an optimum value at around 1,200 m. Estimated A. alba seed dispersal distances were short (median values for the three cohorts, respectively, 16.4–13.2–19.6 m).

Discussion

We demonstrated that including the ecological characteristics of plots and post-dispersal recruitment processes realistically reduced estimates of seed dispersal distances which are otherwise grossly over-estimated using inverse modeling procedures.

Keywords

Dispersal Seedling Recruitment rate Inverse modeling Abies alba 

Copyright information

© INRA / Springer-Verlag France 2012

Authors and Affiliations

  • Annabelle Amm
    • 1
  • Christian Pichot
    • 1
  • Philippe Dreyfus
    • 1
  • Hendrik Davi
    • 1
  • Bruno Fady
    • 1
  1. 1.INRA, UR 629, Écologie des Forêts Méditerranéennes (URFM)Avignon Cedex 9France