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Record W7035015226

Wintertime Infiltration and the Thermal Dynamics of Black Spruce Peatlands within the Boreal Plains

2022· dissertation· en· W7035015226 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueUniversity Library (University of Saskatchewan) · 2022
Typedissertation
Languageen
FieldMathematics
TopicAdvanced Optimization Algorithms Research
Canadian institutionsnot available
Fundersnot available
KeywordsPeatBorealBlack spruceTaigaPermafrostFrost (temperature)Hydrology (agriculture)Infiltration (HVAC)
DOInot available

Abstract

fetched live from OpenAlex

Preliminary investigations (2005-2008) of subsurface temperatures at various ecosites at a Central Alberta research station within the Boreal Plains revealed a tendency for numerical models to predict lower than observed soil temperatures during the wintertime. In addition, black spruce peatlands were observed to have above freezing temperatures throughout most of the winter in the shallow subsurface, while other ecosites would be frozen at similar depths. The focus of this thesis was to determine why black spruce peatlands were warmer during the winter through field observations and numerical simulations, and any impact that may have on the hydrological cycle.\nIn subsequent investigations the depth of monitoring was increased from 50 cm to 300 cm allowing for a comprehensive thermal profile over a three-year period (2009 to 2011) to be observed at several ecosites. There was a total of eighteen ecological sites, three of each of six types, which included coniferous, deciduous, harvested, burnt, shallow peatlands, and deep peatlands. Observed wintertime temperatures during the three-year period confirmed the preliminary results that the subsurface of deep peatlands would be frozen for significantly less time than both shallow peatlands and upland sites. It was unclear why the shallow subsurface of the deep peatlands barely ever experienced sub-zero temperatures, especially considering that the thermal conductivities of the wet peat should have resulted in a frost depth deeper than observed, even when considering latent heat losses.\nFrom December 2014 to May 2016 an additional field study was conducted at the deep peatlands, with a focus on the winter months and the possible physical and biological effects of black spruce trees and sphagnum moss on winter infiltration and subsurface temperatures. The objective of the additional study was to develop a conceptual model for the thermal dynamics of a black spruce peatland which could explain the warmer subsurface temperatures and the shallower than expected depth of frost. In addition, an algorithm was developed to allow for more accurate simulation of observed subsurface temperatures. The biological effects were quantified by monitoring adjacent living and dead black spruce trunk temperatures, along with the sphagnum moss layer temperatures overlying the peat.\nDuring the 2015 deployment of additional temperature probes at the black spruce peatland sites large amounts of snowmelt from the tree crown were observed to pool around the base of the spruce trees. Snow captured by the black spruce crown completely melted away after a few sunny days. The snowmelt from the crown then dripped and drained towards the base of the black spruce trees, where often a deep “cavity” would exist to the depth of the water table. The installation of moisture content probes within the cavity, loosely filled with peat, revealed increased moisture content following sunny days. Throughout the winter there were also minor increases in observed groundwater elevation following the sunny days as a result of the infiltration of crown drip through the cavity. There was also a very large increase in observed groundwater elevation at the end of March, likely due to the infiltration of upland snowmelt through the unfrozen black spruce cavity. The existence of wintertime infiltration within black spruce peatlands was confirmed through field observations and groundwater measurements.\nData from the additional temperature probes facilitated the development of a conceptual model that could explain why the subsurface did not freeze, and accounting for wintertime infiltration through the tree cavity. Sphagnum moss was observed to be a strong insulator, with temperatures never decreasing below freezing in the underlying peat, even under the tree crown where there was a minimal snowpack. Black spruce trees were also observed to warm the subsurface beginning in April resulting in colder than expected tree trunk temperatures. The conduction of longwave radiation to the root zone from the crown through sap circulation is also a plausible explanation for the circular patterns of snowmelt around the black spruce tree root mats amid a prolonged snowpack observed until at least early May beyond the extent of the black spruce tree’s roots.\nPhysically based numerical models utilizing the Simultaneous Heat and Water (SHAW) model were then constructed for six of the eighteen ecological sites from the 2009 to 2011 field study. Models were constructed for: two of the deep peatland sites, with black spruce; two of the shallow peatland sites, with lodgepole pine and black spruce; and two of the burnt sites, with lodgepole pine. The burnt sites were subsequently referred to as upland. The numerical models were constructed and calibrated in increasing complexity, beginning with the upland sites, followed by the shallow peatland sites and then the deep peatland sites. The numerical model was able to accurately simulate subsurface temperatures and the observed depth of frost at the pine upland sites without any alteration to the code, and to a lesser degree the shallow, drier, peatland sites. However, the numerical model, as with the previous attempts from the initial investigation, failed to identify a set of parameters that resulted in the successful simulation of the observed subsurface thermal profile at the deep peatland sites. The numerical model also erroneously predicted frost to the groundwater table.\nThe SHAW numerical model was then updated to calculate the thermal conductivity of the sphagnum moss layer in series instead of parallel. By representing sphagnum moss in series, along with estimating new snowpack thermal conductivity coefficients, the Root Mean Square Error (RMSE) of the wintertime simulated temperatures were substantially reduced for deep peatland vadose zones and were better than those achieved for the upland sites. Using this approach, the wintertime temperatures of the deep peatlands were accurately simulated for the first time at the site, supporting the conceptual model that the insulation provided by sphagnum moss prevents the vadose zone from freezing. The unfrozen vadose zone, along with draining of the crown snowmelt to black spruce tree cavities allowed for wintertime infiltration to occur. The model simulations demonstrate the importance of having a healthy sphagnum moss layer overlying the peat to prevent the subsurface from freezing and inhibiting the infiltration of snowmelt from the black spruce tree cavity. It further highlights the need to better understand and incorporate biologically mediated effects, such as the insulating capacity of live versus dead moss and peat, into physically based models.

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.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.104
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.009
GPT teacher head0.216
Teacher spread0.208 · 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