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Record W2964964125

Riparian vegetation response to clearcutting along small streams of boreal forest / by Shekhar R. Biswas.

2017· dissertation· en· W2964964125 on OpenAlexaboutno aff
Shekhar R. Biswas

Bibliographic record

VenueKnowledge Commons (Lakehead University) · 2017
Typedissertation
Languageen
FieldEarth and Planetary Sciences
TopicTree-ring climate responses
Canadian institutionsnot available
Fundersnot available
KeywordsClearcuttingRiparian zoneSTREAMSRiparian forestVegetation (pathology)TaigaEnvironmental scienceHydrology (agriculture)GeographyForestryEcologyGeologyBiologyComputer scienceComputer networkMedicineGeotechnical engineering
DOInot available

Abstract

fetched live from OpenAlex

In this thesis I examined three important ecological questions to understand the role of forest management disturbance on unmapped small stream riparian plant communities: I) how do small stream riparian plant communities respond to forest harvesting and site preparations?
\nii) How do species diversity - functional diversity reiationships vary in disturbed riparian and disturbed upland habitats? and iii) Do riparian buffer reserves act as plant refuges in the clearcut boreal forests?
\nIn chapter 1, I answer the first question by reviewing and synthesizing published (searching ISI Web of Knowledge? database) and grey literature. I found that small stream riparian plant communities are very poorly studied. Forest harvesting and scarification significantly reduce riparian plant species richness and diversity causing a shift from herbaceous to shrub dominance. I suggest that disturbance along small streams may facilitate the spread of invasive species into the streams that are protected by buffer reserve. I argue that the distribution patterns of plant functional traits might be useful as a predictor in developing an early warning system against habitat degradation.
\nIn chapter 2, I answer the second question by sampling naturally colonized plants along small streams in clearcut, clearcut plus soil scarification, riparian buffer reserve near clearcut, riparian buffer near clearcut plus soil scarification and uncut reference sites. Using 36 sets of functional traits as a surrogate of functional diversity, I test the effects of disturbance on species diversity - functional diversity relationships in two habitats: riparian and upland, I found that both species diversity and functional diversities reach their peak under moderate intensity of disturbance, producing a bell shaped disturbance-diversity curve. The disturbance-habitat sensitivity coupling has very little effect on overall diversity although the effect on particular life forms and functions may be significant. The novel finding in this study is that in natural communities, species-functional diversity relationships are linear in low intensity disturbance but this relationship shifts to curvilinear (quadratic) with moderate to high intensity of disturbance, due to uneven functional redundancy. This finding invokes that the current approach of conservation that predominantly relies on species richness needs to be reevaluated by considering plant functional traits.
\nIn chapter 3, I answer the third question by sampling plant communities around small streams in the clearcuts, the riparian buffer reserves around clearcut and in the uncut reference forests. I used a combination of trait based functional dichotomy and plant cover to predict plant colonization from the clearcuts to riparian buffer reserves. I found that riparian buffer reserves support more species than the clearcuts and the reference forests. In the trait display I was able to show that additional species in riparian buffer reserves were coming from adjacent clearcuts. This finding suggests that in the boreal forest, riparian buffer reserves act as refuges for plants,
\nespecially in the early stages after clearcutting. This finding invokes that careful management of riparian buffers may help in reducing the local extinction risk of many disturbance-sensitive plants.
\nStudy site : Current River and Mackenzie River Watershed, 30 km. east of Thunder Bay, Northwestern Ontario.

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)0.001
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 score0.897
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.026
GPT teacher head0.247
Teacher spread0.221 · 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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