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Record W2883088868 · doi:10.7939/r31v5bt50

Reproduction and abundance of the wood frog (Lithobates sylvaticus) in post-harvest variable retention forests

2017· article· en· W2883088868 on OpenAlexaboutno aff
Matthew P Robinson

Bibliographic record

VenueUniversity of Alberta Library · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicAmphibian and Reptile Biology
Canadian institutionsnot available
Fundersnot available
KeywordsLithobatesAbundance (ecology)ReproductionBiologyEcologyWood mouseAmphibian

Abstract

fetched live from OpenAlex

Many aquatic-breeding amphibians require freshwater habitat for reproduction and terrestrial habitat for refuge, foraging, and overwintering. Variable retention harvesting is a technique where live trees and other forest features are retained during timber harvesting in patterns that emulate natural disturbance. Wood frogs (Lithobates sylvaticus) are often associated with closed-canopy deciduous forests and utilize ephemeral (temporary) wetlands for reproduction. The objectives of this thesis were to (1) investigate the factors influencing upland abundance of wood frogs in post-harvest variable retention forest stands and (2) investigate the effects of wetland size and forest canopy on hydroperiod and tadpole performance in ephemeral wetlands of Alberta’s boreal mixedwood. To address these objectives, I used pitfall traps to live capture wood frogs across 4 levels of retention harvest (clearcut [0%], 20%, 50%, and unharvested control [100%]), and 2 forest types (deciduous and conifer), in 17-year post harvest forests at the EMEND experiment in northwest Alberta. I mapped breeding sites to account for breeding site proximity and used a LiDAR-based terrain moisture index (Depth-to-Water) to account for soil moisture. I also monitored 15 small ephemeral breeding wetlands from May to August 2015, at which I documented drying dates to assess relationships between wetland size (surface area, maximum depth), forest canopy cover, and hydroperiod. In 12 of the 15 wetlands, I measured tadpole performance by sampling tadpoles over repeated sampling sessions until tadpoles completed metamorphosis or until wetlands dried. I also measured physiochemical parameters (pH, conductivity, and temperature) and primary productivity (periphyton growth) to compare conditions between open- and closed-canopy wetlands. Abundance of adult wood frogs varied by season, with most captures occurring during early spring and summer months (May and June). Harvest retention level alone had no effect on abundance, but in late season (July and August), there was a significant interaction between retention and forest type where abundance decreased with retention level in deciduous sites, and increased with retention level in conifer sites. The interaction effect, however, was weak, and differences in capture rates between retention levels were small. During late season capture rates were higher in conifer forests relative to deciduous forests, with soil moisture (lower Depth-to-Water) significantly and positively related to capture rates. These results suggest early regeneration of aspen and availability of moist microhabitats create suitable upland habitat for wood frogs in early seral stage mixedwood forests. Among breeding wetlands, hydroperiod was related to wetland size, but not forest canopy cover. Depth was most related to hydroperiod and may therefore serve as a useful criterion for prioritizing protection of ephemeral breeding wetlands during forest harvesting. Growth and development of wood frog tadpoles were faster in wetlands with less surrounding canopy cover. Water temperature was higher in open-canopy wetlands relative to closed-canopy wetlands which may help explain observed differences in performance. There was, however, were no significant difference in primary productivity between open- and closed-canopy wetlands. I conclude that timber retention level has a weak effect on relative abundance of adult wood frogs in 17-year post harvest stands. Natural regeneration of deciduous species post-harvest may help provide suitable upland habitat for wood frogs in both deciduous and conifer forests. Protection of ephemeral wetlands with adequate depth and hydroperiod will help maintain local populations of wood frogs and other amphibians in managed forests in the boreal mixedwood.

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 distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation 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 score0.006
Threshold uncertainty score0.690

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.006
GPT teacher head0.165
Teacher spread0.159 · 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 teacher head, 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

Citations1
Published2017
Admission routes1
Has abstractyes

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