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Record W2945020977 · doi:10.1002/eco.2102

Modelling the possible impacts of climate change on the thermal regime and macroinvertebrate species of a regulated prairie river

2019· article· en· W2945020977 on OpenAlexaffabout
Meghan Carr, Lin Li, Amir Sadeghian, Iain D. Phillips, Karl‐Erich Lindenschmidt

Bibliographic record

VenueEcohydrology · 2019
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsGlobal Institute for Water SecurityWater Security AgencyUniversity of Saskatchewan
Fundersnot available
KeywordsEnvironmental scienceClimate changeHydrology (agriculture)Forcing (mathematics)StreamflowDew pointEcosystemWind speedInflowRange (aeronautics)Atmospheric sciencesClimatologyEcologyDrainage basinMeteorologyGeographyGeology

Abstract

fetched live from OpenAlex

Abstract The thermal regime is a key consideration for instream flow management as the ecological integrity of river ecosystems relies on the natural dynamics of temperature range and spatiotemporal characteristics. Climate change can alter thermal regimes and influence water temperatures. This study aims to investigate probable impacts of climate change (predicted changes in meteorological forcing variables) on the thermal regime and macroinvertebrate species of a regulated prairie river. A 2D laterally averaged CE‐QUAL‐W2 hydrodynamic thermal lake model for Lake Diefenbaker was coupled with a Water Quality Analysis Simulation Program Version 7 (WASP7) river temperature model and applied to the lower South Saskatchewan River in Canada. Three decades, 2001–2010, 2041–2050, and 2081–2090, were modelled using atmospheric forcing data (relative humidity, dew point, daily mean near‐surface wind velocity, near‐surface air temperature, total cloud fraction, and surface air pressure) from the Canadian Centre for Climate Modelling and Analysis experiments (CORDEX). To estimate future climate change impacts on the resident macroinvertebrate species, the known temperature tolerances of various macroinvertebrate species were compared with modelled temperature regimes. The WASP model calibration (2011–2012) and validation (2013) outputs produced an acceptable visual fit, whereby predicted values overlap sampled values, to observed water temperatures at Clarkboro and Muskoday sample sites. Major effects on the thermal regime were simulated due to the increase in water temperature induced by Gardiner Dam, which in turn indicated a possible effect on macroinvertebrate species. Gardiner Dam was also shown to be highly sensitive to inflow variations as well as to temperature changes. These findings contribute to the understanding of how future climate‐induced river water temperature changes may influence macroinvertebrate species in temperate river systems. This valuable information can inform further laboratory studies of temperature impacts on current macroinvertebrate communities and the development of future mitigation strategies.

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 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 score0.107
Threshold uncertainty score1.000

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 studies0.0000.001
Scholarly communication0.0000.000
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 head0.200
Teacher spread0.185 · 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.

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

Citations20
Published2019
Admission routes2
Has abstractyes

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