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Record W2316093847 · doi:10.14430/arctic4256

Characterizing Hydro-Limnological Relationships in the Shallow Thermokarst Lakes of the Old Crow Flats, Yukon Territory

2012· article· en· W2316093847 on OpenAlexvenueaboutno aff
Ann M. Balasubramaniam

Bibliographic record

VenueARCTIC · 2012
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicClimate change and permafrost
Canadian institutionsnot available
Fundersnot available
KeywordsThermokarstPermafrostSnowmeltEnvironmental scienceArcticHydrology (agriculture)WetlandArctic ecologyTundraClimate changePhysical geographyBeaverEcologyOceanographySurface runoffGeographyGeology

Abstract

fetched live from OpenAlex

The vulnerability of arctic wetlands to a changing climate is an increasing concern of northern Aboriginal communities, parks managers, and conservation authorities because these lake-rich areas provide food and habitat for a myriad of wildlife populations. For more than a decade, researchers have recognized that both the hydrology and the ecology of lakes and ponds within regions of permafrost will be altered significantly by climatic warming (Rouse et al., 1997). Shallow thermokarst lakes, formed in lowland regions by thawing of ice-rich permafrost, are particularly susceptible to hydro-climatic change because they lack sufficient storage and depend predominantly on seasonal input waters to offset evaporation (Woo and Guan, 2006). Annual precipitation is especially important in thermokarst lake water budgets because snowmelt in spring and rainfall in the ice-free season replenish water supplies and sustain lake water levels (Boike et al., 2008; Plug et al., 2008). In northwestern Canada, research in regions of continuous permafrost has shown that thermokarst lakes experience net water losses from evaporation in warm, dry years and net water gains in cool, wet years (Labrecque et al., 2009). Changes to either the timing and quantity of snowmelt or the frequency and amount of rainfall will likely cause major shifts in lake hydrology throughout the Arctic. It is also likely that such shifts in hydrology will initiate changes in lake water chemistry and biota. However, the specific relationships between hydrological processes and limnological characteristics in Arctic freshwaters are generally underinvestigated and remain poorly understood. Integrated hydro-ecological evaluations of thermokarst lake responses to seasonal variations in hydrology (i.e., snowmelt, rainfall, and evaporation) are needed in order to better understand the overall effects of a changing hydrology on Arctic freshwater ecosystems. This knowledge will help park managers, Aboriginal governments, and conservation authorities develop the predictive capacity to anticipate and monitor future climate-driven changes in Arctic wetlands. The primary objective of my research is to investigate linkages among climate, hydrology, and limnology in thermokarst lakes of Old Crow Flats, a dynamic lake-rich landscape in northern Yukon Territory designated by the Ramsar Convention as a Wetland of International Importance (Fig. 1). Old Crow Flats is the traditional territory of the Vuntut Gwitchin First Nation (VGFN) and is one of northwestern Canada’s largest wetlands within a region of continuous permafrost. Over the past few decades, the Vuntut Gwitchin have witnessed unprecedented changes in Characterizing Hydro-Limnological Relationships in the Shallow Thermokarst

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)0.001
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 score0.017
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 communication0.0000.000
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 head0.075
GPT teacher head0.238
Teacher spread0.163 · 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

Citations3
Published2012
Admission routes2
Has abstractyes

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