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Record W7071307113

Relationship among physical and hydrological stream and drainage basin characteristics and riparian vegetation structure

2017· dissertation· en· W7071307113 on OpenAlexaboutno aff

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
Fundersnot available
KeywordsRiparian zoneVegetation (pathology)STREAMSDrainage basinHydrology (agriculture)Watershed
DOInot available

Abstract

fetched live from OpenAlex

The primary goal of this study was to examine the physical and biological structure of
\nriparian zones along streams in the Boreal forest of Northwestern Ontario and to discover
\nwhether riparian structure was related to key hydrologic variables, including watershed
\narea and surficial geology. The first objective was to verify the relationship between
\nwatershed area and physical and hydrological stream characteristics including discharge,
\ntemperature, and gradient. The second objective was to determine the variability in
\nstream characteristics within a watershed scale based on differences in physical and
\nhydrological drainage basin characteristics. The third objective was to describe the
\ndifferences in the vegetation communities in riparian zones and upland communities.
\nThe fourth objective of the study examined riparian structure and composition along
\nstreams within watersheds that differ in physical and hydrological characteristics. The
\nMackenzie, Wolf, and Spruce River watersheds were used in a nested sampling design
\nwith watershed area class as a grouping variable. A total of 40 streams were sampled
\nhaving approximately 1 (n = 12), 10 (n = 12), 40 (n = 8) and 100 (n = 8) km2 watersheds.
\nStream discharge, temperature and gradient, and riparian width and slope were measured
\nwhile surficial geology was evaluated. Riparian and upland plots were sampled on both
\nsides of the stream and vegetation species were recorded. The results showed clear
\nrelationships among physical and hydrological stream and drainage basin characteristics
\nand riparian vegetation structure. As drainage area increased, stream discharge and
\ntemperature increased and stream gradient decreased. Stream temperature and gradient
\nwere lowest in streams with meadow marsh riparian zones. Riparian width decreased
\nwhile riparian slope increased with increases in drainage area. Riparian width was
\ngreatest, and riparian slope least in meadow marsh riparian zones, while the width was
\nnarrowest and slope greatest in conifer swamp riparian zones. Streams with both 1 and
\n10 km2 watersheds had riparian zones which had lower vegetation species diversity than
\nthe surrounding upland timber zone. A discriminant function analysis revealed Speckled
\nAlder, Aspen, and Beaked Hazel characterizing the riparian zones of smaller streams (1
\nkm2 watershed), grasses and sedges characterizing the riparian zones of intermediate
\nsized streams (10 km2 watershed), and Cedar, Honeysuckle and Currants characterizing
\nriparian zones around large streams (100 km2 watersheds). There was a positive
\nrelationship between drainage area and the drainage basin?s surface roughness,
\nwidth/depth ratio, and stream channel sinuosity, while there was a negative relationship
\nbetween drainage area and the drainage basin?s stream channel and basin slopes. This
\nstudy characterized riparian vegetation structure along a stream continuum to understand
\nbetter the structure and function of riparian communities and will be used as part of a first
\nstep towards assessing the possible effects of timber harvesting on aquatic ecosystems to
\nensure the effective management of riparian forest ecosystems.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.071
Threshold uncertainty score1.000

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 studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.014
GPT teacher head0.227
Teacher spread0.213 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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