MétaCan
Menu
← Back to cohort
Record W2783036917

Assessing relations among multiple environmental gradients for shallow lakes in Old Crow Flats, Yukon, using hydrological, limnological and community-collaborative research approaches

2018· dissertation· en· W2783036917 on OpenAlexfundaboutno aff
Ann-Marie Balasubramaniam

Bibliographic record

VenueUWSpace (University of Waterloo) · 2018
Typedissertation
Languageen
FieldEnvironmental Science
TopicEcology and biodiversity studies
Canadian institutionsnot available
FundersNatural Sciences and Engineering Research Council of CanadaGovernment of CanadaParks Canada
KeywordsGeographyEnvironmental scienceHydrology (agriculture)OceanographyEcologyGeologyBiologyGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

Shallow freshwater ecosystems are undergoing marked hydrological changes associated with a warming Arctic, which causes concern for remote northern communities that access these regions to maintain their traditional lifestyles. Variation in precipitation patterns (snow and rain), due to changing climate conditions has been found to strongly influence lake water balances. However, knowledge of how such changes in precipitation affect limnology and biotic community structure within lakes is lacking. Working collaboratively with the Vuntut Gwitchin First Nation (VGFN), this thesis examines the influence of hydrology on the limnology of shallow lakes in the Old Crow Flats, Yukon. Relations among source-water composition (snow vs. rain), catchment characteristics, limnology, and sediment properties are assessed and their influence on benthic biota are quantified. \n \nResults from 56 lakes, sampled during the early, mid-, and late ice-free season of 2007, identify that catchment mediated differences in source waters (snowmelt-dominated, intermediate and rainfall –dominated) are associated with different limnological characteristics and divergent seasonal trajectories. Snowmelt-dominated lakes, which occur in catchments with tall shrubs and trees, have significantly higher concentrations of dissolved phosphorus and organic carbon, relative to the other categories. These lakes exhibit the least amount of seasonal variation in water chemistry variables. In contrast, rainfall-dominated lakes, which are located in catchments with dwarf shrub and sparse vegetation, have significantly higher concentrations of major ions and higher pH. The rainfall-dominated lakes experience the greatest amount of seasonal variation in water chemistry and tend to be more similar to intermediate lakes in mid- and late-season. Interestingly, seasonal analysis of intermediate lakes highlights sensitivity of these lakes to transitioning sources of input water. As the ice-free season progresses, the water chemistry of intermediate lakes changes from resembling snowmelt-dominated to that of rainfall-dominated lakes. The strength of these catchment-mediated hydro-limnological associations is demonstrated by their persistence among years (2007- 2009). \n \nAnalyses of diatom and chironomid assemblages within surface sediments of a subset of ~49 lakes identifies a cascading influence of input-water sources, on limnology and sediment properties, as mediated by catchment characteristics to affect compositions via direct and indirect pathways. Notably, variance partitioning analyses (VPA) of diatom and chironomid assemblages, identify a substantial amount of shared variation among limnology, sediment properties and catchment characteristics. Given that hydrological processes are the main mechanisms that link catchment characteristics with limnological conditions and sediment properties of lakes, the shared variation is likely primarily attributable to variation in source-water inputs. VPA analyses for both diatoms and chironomids explained less than 50% of variation, which draws attention to the limitations of point-in-time measurements in describing dynamic processes regulating biotic communities. Thus, when describing biotic responses to environmental change within northern aquatic ecosystems, results presented here discourage linking variation in biota to direct effects of any single factor, and rather encourage use of multi-factor analyses that include hydrological processes. \n \nAs northern communities undergo unprecedented environmental changes associated with climatic and socio-economic stressors, there is an increased impetus for knowledge generation to be focused on community needs to guide policies and adaptation strategies. In response, natural science research in Canada’s North is shifting towards a framework that is collaborative, interdisciplinary and reflective of Northern people’s priorities. The final sections of this thesis explore effective methods for early career researchers (ECRs) to use when engaging in community-collaborative research. A NSERC Northern Research internship, which allowed for an extended stay in the community of Old Crow, is highlighted as it enabled a partnership to be established with the Vuntut Gwitchin Government’s Natural Resource Department (NRD). The discussions among ECRs regarding methods for developing true partnerships with northern communities, which occurred at the 2012 IPY conference, are also highlighted and analyzed. The prevailing themes - dedicating time, being present, communicating in plain-language, listening, respecting and understanding local customs as well as building trust for collaborative efforts and knowledge exchange with communities- are presented along with a list of resources and recommendations to assist ECRs interested in undertaking collaborative research methodology that goes beyond the standard permitting process. \n \nUltimately, by integrating hydrological, limnological, and community-collaborative research approaches, the results presented here improves understanding of the complex ways in which shallow lakes may respond to future hydro-climatic changes, and provides key insights and recommendations to natural scientists interested in pursuing community-based research in Canada’s North.

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 score0.770
Threshold uncertainty score0.457

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
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 head0.089
GPT teacher head0.269
Teacher spread0.180 · 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
Published2018
Admission routes2
Has abstractyes

Explore more

Same venueUWSpace (University of Waterloo)→Same topicEcology and biodiversity studies→French-language works237,207→