Abstract

Tree regeneration (TR) in canopy gaps is a key process to understand how forest ecosystems might adapt to future environmental changes. Since successful TR is the result of a complex interplay of several stochastic events such as gap formation, seed production, ungulate pressure and diseases, some of the processes have been neglected or strongly reduced for model applications. Most empirical data on TR originate from (national) forest inventories based on statistically optimized designs for timber resource estimations and use geographically fixed permanent plots. Consequently, these representative samples record TR both in gaps as well as under closed canopy conditions. In this study, we compared TR in 63 representative plots of the Swiss National Forest Inventory (‘NFI sampling’), located in beech and silver fir-beech forests along an elevation gradient in the Jura Mts., with an opportunistic ‘gap sampling’ strategy targeting TR-clusters. We analyzed quantitative (e.g., number of individuals) and qualitative (e.g., species diversity, similarity to surrounding canopy) differences between the ‘NFI sampling’ and ‘gap sampling,’ as well as the environmental factors (e.g., gap size, cluster age, elevation) influencing the composition of TR in small canopy gaps. The ‘gap sampling’ recorded higher median TR densities (+62%, stems ha−1) and species richness (4.0 ± 2.1, mean ± sd) than the ‘NFI sampling’. More importantly, the ‘gap sampling’ provided much more consistent results among sites (i.e., 4x lower variance). Consequently, the ‘gap sampling’ revealed not only general but also species-specific patterns across TR size classes and along elevational gradients in contrast to the lack of patterns in the ‘NFI sampling’. Species richness decreased as TR grew taller, and the tallest TR size class (>130 cm) was almost solely comprised of the dominant species in the surrounding canopy (direct ingrowth). The high amount of direct ingrowth in TR indicates that small canopy gaps might offer only limited management potential to alter forests and that extensive disturbances or management at early TR stages (sapling) would be necessary to promote species better suited to the expected future site conditions. We raise the question of whether a forest monitoring that is statistically optimized for timber resource estimation is best suited to detect adaptation effects to quickly changing environments best visible at the regeneration stage, or whether forest inventory tools should be extended by methods that focus on disturbed parts of forests where changes and adaptations take place. We propose the implementation of an opportunistic gap-based monitoring of TR that essentially serves to identify the best forest management strategies (e.g. gap size, intervention intervals) in forests adapting to environmental change.

Highlights

  • Within a tree’s life cycle, average environmental conditions and frequencies of extreme events are expected to be drastically altered by climate change (IPCC 2019)

  • We demonstrated distinct differences in the quantity and the composition of Tree regeneration (TR) assessed in canopy gaps vs assessed under canopy

  • Mixing these two coarse types of structural site conditions leads to high variation in TR density and diversity, which increases the projection uncertainty of TR (e.g., Madsen & Hahn 2008; Vacchiano et al 2018; Jaloviar et al 2020) and reduces the statistical power in quantitative analyses, potentially obscuring regeneration dynamics

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Summary

Introduction

Within a tree’s life cycle, average environmental conditions and frequencies of extreme events are expected to be drastically altered by climate change (IPCC 2019). Light availability is drastically increased, accelerating the establishment of a new tree generation (i.e., natural recruitment; Grubb 1977). While diverse factors such as the size of the gap, the topographic location (e.g., slope, aspect) or height of surrounding trees affect the regeneration in gaps (White & Jentsch 2001), tree regeneration in canopy openings is generally more rich in tree species than it is under a closed canopy (Muscolo et al 2014; Zhu, Lu & Zhang 2014). Studies have shown that light-demanding species do not profit from canopy gaps smaller than 0.3 ha, while shade-tolerant species shoot up even in gaps of 0.05 ha (Malcolm, Mason & Clarke 2001; Webster & Lorimer 2005), leading to the expectation that small gaps are unlikely to change forest trajectories (Klopcic, Simoncic & Boncina 2015)

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