, Volume 69, Issue 2, pp 195-205

Significant differences and curvilinearity in the self-thinning relationships of 11 temperate tree species assessed from forest inventory data

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Abstract

Introduction

In pure and even-aged stands, the allometry between mean tree size and maximum stand density—or self-thinning relationship—has long been considered a constant among tree species. Although the self-thinning allometric coefficient has been shown to be species-dependent, estimates available for a given species also differ. Whether this coefficient truly varies across species thus remains an open issue. A potential cause of variation in the coefficient may lie in a departure from the allometric assumption in the self-thinning relationship.

Methods

We analysed the species dependence of the self-thinning relationship for 11 temperate and Mediterranean tree species growing in pure and even-aged stands in France based on the French National Forest Inventory (NFI) data. Self-thinning relationships were fitted using a ‘stochastic frontier’ technique. Pairwise comparison tests of the self-thinning allometric coefficients were implemented. We also investigated the allometric nature of the relationship by testing a linear and a curvilinear model of log density against the log quadratic mean diameter.

Results

Self-thinning relationships were clearly evidenced from the NFI data and displayed significant differences between species. The curvilinear model was significantly more accurate for 7 out of 11 species and depicted a concave relationship, suggesting a decrease in self-tolerance over ontogeny.

Conclusion

As a major finding, the self-thinning relationship significantly varies across species. We emphasise the need to consider a high number of species to show such specific variations in the self-thinning relationship. Another important outcome is that the self-tolerance depends on the developmental stage.

Handling Editor: Daniel Auclair

Contribution of the co-authors

Marie Charru performed data analysis and wrote the manuscript. Ingrid Seynave participated in the data analysis, and discussions, writing and evolution of the manuscript. François Morneau provided the NFI data and associated expertise for their correct exploitation. Michaël Rivoire helped in the technical use of the stochastic frontier analysis. Jean-Daniel Bontemps supervised the whole project, provided statistical expertise on sampling designs, tests, and use of the stochastic frontier analysis, and helped with the redaction. Ingrid Seynave, François Morneau and Jean-Daniel Bontemps contributed to the revision and amelioration of the manuscript.