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Record W6988117499

Wetland birds and invasive plant management

2022· dissertation· en· W6988117499 on OpenAlexaboutno aff

Bibliographic record

VenueUWSpace (University of Waterloo) · 2022
Typedissertation
Languageen
FieldEnvironmental Science
TopicCoastal wetland ecosystem dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsWetlandHabitatMarshThreatened speciesInvasive speciesWildlifeWaterfowlEcosystemIntroduced species
DOInot available

Abstract

fetched live from OpenAlex

The Great Lakes coastal wetlands are some of the most diverse ecosystems in Ontario. However, their ecological integrity is continually threatened by development, nutrient pollution, and invasive species. Over the past two decades, marsh-nesting birds in the southern portion of the Great Lakes have experienced a substantial decline; approximately eight of 18 species have lower \nabundances now than they did in the mid-90s. Invasive Common Reed (Phragmites australis subsp. australis) is a grass that has been displacing native coastal wetland habitat for several decades, and it is a contributing factor to the decline in marsh-nesting species, particularly those of conservation concern. Long Point, ON, is a UNESCO Biosphere Reserve located Lake Erie, which is comprised of 13,465 ha of ecologically significant habitat experiencing invasion. To reverse damage from P. australis invasion and restore habitat quality for marsh-nesting birds and other wildlife, two invaded National Wildlife Areas in Long Point were treated with a glyphosate-based herbicide, followed by mechanical rolling to flatten dead P. australis beginning in 2019. The long-term outcomes of P. australis management are expected to positively impact the wetland bird community, but there have been limited studies investigating the short-term impacts that could arise from habitat alteration following treatment. Therefore, we undertook two studies to monitor the short-term response of marsh bird communities 1-2 years following P. australis management. First, we undertook a Before-After-Control-Impact study to monitor birds before and after treatment. Throughout the 2019 marsh bird breeding season, autonomous recording units (ARUs) were used to record bird vocalizations in areas where herbicide treatment of P. australis was planned for fall 2019 and in P. australis-invaded areas where no treatment was planned (control sites). These sites were resurveyed in 2021 to compare to 2019 baseline recordings. We determined that ARU recordings should be transcribed on one survey date in the middle of the breeding season, comprised of three 15 min segments split across the dawn chorus, to maximize avian richness estimates by capturing both early and late-morning vocalizing species. Second, we undertook a space-for-time substitution design. ARUs were deployed in 2021 to survey birds in \ninvaded control sites, 1 or 2-year post-treatment sites, and uninvaded reference sites. For both studies, we assessed how avian species richness (both total and marsh-user) and community composition differed among vegetation type. We found small-scale effects of P. australis management on bird richness and community composition, but such effects are insignificant when compared to the natural variation in bird community composition in Long Point. Birds displaced by P. australis management tended to be non-marsh affiliated birds that can find refuge in surrounding habitats. Notably, the provincially and federally Threatened Least Bittern (Ixobrychus exilis) occurred infrequently in herbicide-treated sites, but it is expected that it will use the \nincrease in hemi-marsh arrangement as time progresses. We conclude that two years post-management is too short of a timeframe to see the materialization of considerable positive effects on the avian community. However, we did find evidence of positive trends occurring to birds most impacted by P. australis invasion, as they were observed using, or have the potential to use, the increase in open water and hemi-marsh arrangement remaining after herbicide treatment. We recommend continued monitoring to assess the long-term consequences of P. australis control for the avian community.

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)0.001
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 score0.232
Threshold uncertainty score0.462

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.005
GPT teacher head0.166
Teacher spread0.161 · 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
Published2022
Admission routes1
Has abstractyes

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