Effects of disturbance frequency, species traits and resprouting on directional succession in an individual‐based model of forest dynamics
Bibliographic record
Abstract
Summary 1. Succession theory focuses on the position of species along the shade tolerance gradient and their ability to colonize recently disturbed patches and has for decades overlooked resprouting as a key trait in community patterns. 2. We study how different species traits interact with disturbance frequency to change species dominance in the canopy, focusing on the effects of resprouting ability. 3. We develop an individual‐based model that simulates the dynamics of three species paper birch Betula papyrifera Marsh, white pine Pinus strobus L. and sugar maple Acer saccharum Marsh., characterized by different successional strategies, as observed in northern Minnesota forests. We tested (i) how different disturbance frequencies, (ii) sugar maple resprouting and (iii) paper birch resprouting change successional patterns. 4. We show that three disturbance frequency classes produce three different outcomes, each dominated by a different species, with lower disturbance frequency favouring later successional species. 5. The importance of resprouting ability for success in the canopy depends on the species’ other life‐history traits. Sugar maple is able to dominate the community at all disturbance frequency classes with resprouting, whereas the inclusion of resprouting for paper birch does not change the successional patterns. 6. White pine is indirectly favoured by sugar maple’s resprouting ability, excluding paper birch from the community at disturbance frequency classes that would see paper birch dominance in the absence of resprouting. 7. Synthesis. We model tree life histories in a disturbed environment and test how the inclusion of resprouting changes succession patterns. Our results confirm the recent interest of taking into account resprouting, as it can bend succession directionality, and thus change community composition in response to disturbance. This has wide consequences for predicting forest diversity patterns as well as invasion phenomena in a changing world.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".