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Record W7106022672 · doi:10.7939/83042

Structural Retention Harvesting and Small Mammal Biodiversity in Alberta’s Boreal Forests

2025· dissertation· en· W7106022672 on OpenAlexaboutno aff

Bibliographic record

VenueUniversity of Alberta Library · 2025
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicForest Ecology and Biodiversity Studies
Canadian institutionsnot available
Fundersnot available
KeywordsUnderstoryBiodiversityTaigaCoarse woody debrisHabitatBiomeVegetation (pathology)ClearcuttingSpecies richnessGeneralist and specialist species

Abstract

fetched live from OpenAlex

The boreal forest is one of the largest terrestrial biomes globally, providing critical ecosystem services, carbon storage, and habitat for diverse fauna, while supporting economically important forestry industries. However, intensive forest management, dominated by clear-cutting, has simplified stand structure, reduced coarse woody debris, and diminished late-seral forest attributes, with documented negative effects on species dependent on these conditions. In response to these concerns, forest managers have increasingly adopted retention-based harvesting systems that aim to emulate the structural legacies of natural disturbances while maintaining timber yields. Two emerging approaches in Alberta are: stubbing (the deliberate creation of high-cut stems during harvest while protecting the forest floor) and understory protection (UP) harvesting (a practice that retains understory vegetation and select overstory trees during partial harvesting). Despite their growing adoption in operational forestry, their effectiveness in supporting small mammal biodiversity remains insufficiently evaluated. Small mammals, given their fine-scale habitat sensitivity, diverse ecological roles in seed dispersal, soil processes, and food webs, and proven value as bioindicators, provide an ideal model group for assessing the ecological outcomes of retention-based harvesting. In my first objective, I evaluated the ecological benefits of stubbing using a paired-block design comparing stubbing and adjacent clear-cuts across 67 blocks in western Alberta’s foothill forests. Motion-triggered camera trap surveys revealed that stubbing supported higher gamma richness and a greater presence of forest specialists (Clethrionomys gapperi, Tamiasciurus hudsonicus) compared to clear-cuts, which were dominated by generalists (Peromyscus maniculatus). Stubbing sites had greater shrub cover and less bare ground. Species-specific responses were driven by downed woody material (DWM) volume, decay stage, and grass cover: generalists such as Peromyscus maniculatus preferred high volumes of late-decay woody material with low grass cover, whereas Clethrionomys gapperi avoided high volumes of late-decay material, possibly due to competition or predation risk. In mysecondobjective, IassessedtheeffectivenessofUPharvestinginsupporting old-forest-associated small mammals using a randomized block design across 57 sites representing four treatments: natural disturbance harvesting (NDH), unharvested old growth (OG), and two UP sub-treatments: structurally intact UP Buffer and more exposed UP Trail. NDH and UP Trail, with reduced canopy cover, lower green tree basal area, and elevated grass and shrub cover, favored early-seral specialists and generalists, including Sorex shrews, Peromyscus maniculatus, Zapus princeps, and Lepus americanus. In contrast, UP Buffer and OG sites, characterized by late-seral structural conditions, supported higher habitat use intensity and occupancy by old-forest specialists such as Clethrionomys gapperi, Glaucomys sabrinus, and Tamiasciurus hudsonicus. Notably, the occurrence of Clethrionomys gapperi and G. sabrinus was insensitive to harvest age, indicating that structural retention, rather than stand age, was the primary driver of their presence. Collectively, these findings demonstrate that both stubbing and UP harvesting can maintain or enhance small mammal diversity in managed boreal forests by providing habitat for species acrossarangeofseralstages. Stubbingoffersacost-effectivemeans of increasing structural heterogeneity in clear-cuts, while UP harvesting, particularly through the incorporation of intact buffers, can accelerate the recovery of late-seral habitat conditions. Integrating these retention-based strategies into operational forestry can help balance timber production with biodiversity conservation, thereby supporting a more ecologically resilient boreal forest landscape.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.243
Threshold uncertainty score0.489

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.015
GPT teacher head0.170
Teacher spread0.155 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2025
Admission routes1
Has abstractyes

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