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Record W4416723132 · doi:10.1080/01650424.2025.2586102

If you build it, will they come? Macroinvertebrate community recovery patterns in ‘successful’ agricultural restoration efforts

2025· article· en· W4416723132 on OpenAlex
Brianna Levenstein, Alexa C. Alexander

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAquatic Insects · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicFreshwater macroinvertebrate diversity and ecology
Canadian institutionsEnvironment and Climate Change CanadaUniversity of New Brunswick
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsRestoration ecologyAgricultureInvertebrateDam removal

Abstract

fetched live from OpenAlex

Stream communities are shaped by regional-scale processes, yet the influence of regional conditions on local restoration outcomes remains underexplored. Biophysical stream restoration is a common response to environmental legislation but often reveals a disconnect between scientific understanding and policy objectives. In agricultural watersheds, physical habitat restoration ideally complements other best management practices (BMPs), including chemical and biological interventions. However, these landscapes are often heavily modified, with extensive bank erosion and riparian zone loss. In this study, physical habitat restoration was prioritised due to the absence of water quality guideline exceedances and in anticipation of ongoing BMP implementation. It had two main objectives: (1) to assess long-term trends in regional water quality and benthic macroinvertebrate communities across 14 sites in seven streams spanning a gradient of agricultural disturbance, evaluating the ecological integrity surrounding a previously degraded, restored reach; and (2) to use this regional dataset to evaluate restoration outcomes in Ridge Brook - a heavily impacted watershed restored in 2007 to support endangered and culturally significant fish habitat. Findings highlight the limitations of restoration in the absence of broader regional contexts, offering insights to guide future restoration strategies and policy alignment.

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.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.145
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.212
Teacher spread0.202 · 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