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Record W1999179273 · doi:10.1111/fwb.12154

Combining monitoring, models and palaeolimnology to assess ecosystem response to environmental change at monthly to millennial timescales: the stability of <scp>B</scp>lue <scp>L</scp>ake, <scp>N</scp>orth <scp>S</scp>tradbroke <scp>I</scp>sland, <scp>A</scp>ustralia

2013· article· en· W1999179273 on OpenAlexaff
Cameron Barr, John Tibby, Jonathan C. Marshall, Glenn B. McGregor, Patrick Moss, Galen P. Halverson, Jennie Fluin

Bibliographic record

VenueFreshwater Biology · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicGeology and Paleoclimatology Research
Canadian institutionsMcGill University
FundersAustralian Research Council
KeywordsBiotaClimate changeEnvironmental changeMacrofossilEnvironmental scienceLake ecosystemEcosystemDiatomWater qualityEcologyPhysical geographyDrainage basinGeographyPollenBiology

Abstract

fetched live from OpenAlex

Summary Human‐induced environmental change threatens freshwater ecosystems, and knowing how these systems have responded to past variability can inform management decisions. Palaeoenvironmental reconstructions provide insight, although their low temporal resolution may mask short‐term responses. Hence, a combination of short‐term, high‐resolution contemporary data and long‐term, low‐resolution palaeoenvironmental data can offer greater understanding of system behaviour. We demonstrate this approach by examining the response of a lake on North Stradbroke Island, Australia, to environmental change, by investigating hydrological and water quality variation at different temporal scales. The data include daily lake discharge, monthly water quality, modelled annual lake discharge over a 117‐year period and comparisons of aerial photographs and lake bathymetry over the past 65 years. A palaeoenvironmental reconstruction of the last c. 7500 years used pollen, stable isotopes, macrofossils and diatoms to provide a long‐term perspective. Despite variability in regional climate over recent decades, the depth and water chemistry of Blue Lake displayed little variation. At millennial timescales, there is clear evidence of catchment change in response to a marked shift in climate around 4500 years ago. However, diatom analysis indicates that Blue Lake has exhibited exceptional stability and resistance to change, compared to other Australian Holocene lake records. This suggests that Blue Lake has been an important climate refuge for aquatic biota in the past and, with appropriate management, should continue in this capacity into the future. This study highlights the benefits of a combined, multi‐temporal approach to inform understanding of the structure and function of freshwater ecosystems and their responses to environmental change. Such scientific understanding of system requirements is critical to achieving sustainable management objectives.

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)0.001
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 score0.131
Threshold uncertainty score0.260

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
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 head0.051
GPT teacher head0.253
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

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

Citations41
Published2013
Admission routes1
Has abstractyes

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