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Record W3210636319 · doi:10.7939/r3-dm8y-cf11

Hydrologic Functioning of Glacial Moraine Landscapes Within Alberta's Boreal Plains

2019· article· en· W3210636319 on OpenAlexaboutno aff
Craig E. Thompson

Bibliographic record

VenueUniversity of Alberta Library · 2019
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicCryospheric studies and observations
Canadian institutionsnot available
Fundersnot available
KeywordsMoraineGlacial periodPhysical geographyBorealGeologyTaigaGeographyGeomorphologyForestryPaleontology

Abstract

fetched live from OpenAlex

Within the Boreal Plains of north-central Alberta, catchments situated within low permeability glacial terrain are composed of a mosaic of landscape units including ponds, peatlands, and upland aspen forest ecosystems within a sub-humid climatic zone where water deficit conditions are frequent. These ecosystems host ecologically and commercially significant habitat and natural resources; however, they are threatened by expanding anthropogenic development and climate change. Within this framework, characterization of the processes governing water movement within and between landscape units is paramount for proper management of existing ecosystems and restoration of disturbed landscapes. Hydrologic data were collected over eleven years to evaluate hydrologic interactions occurring between landscape units. Two-dimensional numerical models were developed using the fully-integrated groundwater-surface water model HydroGeoSphere to evaluate key landscape features and processes that allow these ecosystems to persist within the sub-humid climate. Results show that dynamic interactions between the pond and peatlands are driven by precipitation and evapotranspiration, with pond and peatland water levels reflecting recent climatic trends. Limited hillslope contributions to the peatlands occur, indicating they are not required within this climatic setting for long-term maintenance. Instead, the peatlands conserve water within the landscape and supply it to adjacent landscape units. By contrast, the pond and the aspen forested hillslopes are dominated by high rates of evapotranspiration, and represent net water sinks within the landscape. A two-dimensional numerical model was also developed using MODFLOW-SURFACT to quantify the effects of seasonal peatland freezing on water distribution and water table position through investigation of changes due to variations in peatland hydraulic conductivity and storage properties. Results indicate that seasonal freezing is expected to maintain higher water table conditions by restricting infiltration of snowmelt and spring precipitation, thereby supporting higher rates of spring evapotranspiration, with discharge at the peat surface as surface ponding and overland flow. Subsurface hydrologic connectivity between the peatland and pond is also restricted due to the lower hydraulic conductivity of frozen peat. The degree of influence of the frozen peat is dependent on the relative timing of snowmelt and peatland ice recession. Where sufficient ice remains to prevent infiltration of spring meltwater and rains, less water may be available to the peatlands. This decrease in available water may have negative implications for growing season productivity and fire susceptibility, as well as hydrologic interactions with neighboring ecosystems. A two-dimensional numerical model was also developed using HydroGeoSphere to assess the hydrologic impact of aspen harvesting. Study results indicate that aspen harvesting has limited impact on groundwater levels and stream flows. This outcome is because of the sub-humid climate, with low-frequency of large storms, large soil-moisture storage capacity of heterogeneous glacial materials, and high evapotranspiration rates of regenerating aspen. Despite an estimated increase in hillslope groundwater levels of up to 3 m, pond and peatland water levels increased by less than 0.3 m and were accompanied by increased stream flows of less than 10 mm/yr. However, groundwater level and stream flow predictions were sensitive to regenerating aspen evapotranspiration rates, which can be enhanced by appropriate harvesting techniques but may be reduced by climate change. These results are consistent with previous results for the Boreal Plains, but they differ from aspen harvesting studies conducted in other settings where appreciable increases in stream flows have been reported. This disparity highlights the need to consider the integrated response of the hydrologic system when evaluating impacts from disturbance and making comparisons between settings. Two-dimensional numerical simulations were also conducted using HydroGeoSphere to predict potential climate change impacts for a range of projected scenarios. Results indicate peatland water levels may decline by up to 1 m; however, sensitivity simulations indicate that the decline in water levels may be moderated by several feedback mechanisms that restrict evaporative losses and moderate water level changes. In contrast, higher evapotranspiration losses from the aspen hillslopes are predicted to result in near-surface soils becoming increasingly drier. Thus, the aspen may frequently be water-stressed and increasingly susceptible to secondary maladies such as pests and disease. Reduced pond water levels are also predicted with the development of frequent ephemeral conditions in warmer and drier scenarios. Concurrent decreases in stream flow may further impact downstream ecosystems. Further research into the regional health and sustainability of Boreal Plains ecosystems is warranted.

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 score0.085
Threshold uncertainty score0.993

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0080.000

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 head0.007
GPT teacher head0.151
Teacher spread0.144 · 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".

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Citations1
Published2019
Admission routes1
Has abstractyes

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