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Record W2339673099 · doi:10.14288/1.0090991

Effect of forest harvesting on biological processes in headwater streams within the flume creek experimental watershed, British Columbia

2009· article· en· W2339673099 on OpenAlexaboutno aff
Jennifer Ann Hiebler-Chariarse

Bibliographic record

VenuecIRcle (University of British Columbia) · 2009
Typearticle
Languageen
FieldEnvironmental Science
TopicHydrology and Sediment Transport Processes
Canadian institutionsnot available
Fundersnot available
KeywordsSTREAMSFlumeWatershedHydrology (agriculture)Environmental scienceExperimental forestEcologyGeographyForestryGeologyGeotechnical engineeringFlow (mathematics)BiologyComputer science

Abstract

fetched live from OpenAlex

Effects of forest harvesting on periphyton biomass (measured as Ash Free Dry Mass (AFDM) and Chlorophyll a), benthic organic matter (measured as AFDM) and invertebrate density and diversity were studied in coastal headwater streams in southwestern British Columbia. These aquatic ecosystem variables were also evaluated along the longitudinal gradient of these streams to examine longitudinal patterns. In addition, photosynthetically active solar radiation (PAR), stream water temperatures and chemical concentrations of streamwater were measured and evaluated in order to determine their role in regulating the aforementioned variables. Six headwater streams (1st and 2nd order), three undisturbed and three harvested (3 years postharvest), were sampled over a six-week period during the early summer (May 31 - July 7, 2002). Each stream had nine study reaches (covering a total stream length of 500-700 meters), with harvested streams having three reaches above the harvested area, three reaches within the harvested area and three below - providing for comparisons between forested and harvested stream reaches within streams. Periphyton biomass sampling occurred once a week over the six-week study, while benthic macro invertebrates were sampled over four days during week 3 of the study. Physical and chemical data were also collected once a week for the six-week study period. No significant longitudinal trends were found within the undisturbed streams for any of the studied variables. However, along the harvested streams, Chlorophyll a and stream temperature increased along the downstream longitudinal gradient as the stream flowed through the harvested area and subsequently decreased as the streams flowed back into forested reaches. In addition, incident solar radiation decreased (however not statistically significant) as the streams flowed further into the forested area below the harvested boundary. Incident solar radiation and stream water temperatures were greater in the harvested reaches than in forested reaches of the harvested streams. Periphyton biomass levels were greater within harvested reaches than in forested reaches of the headwater streams. Incident solar radiation was considered to be a primary factor controlling periphyton biomass in these headwater streams, as periphyton biomass increased with increased incident solar radiation. Increased invertebrate density was positively related to periphyton biomass, suggesting bottom-up controls in the aquatic food web. While richness of aquatic invertebrate orders was greater in forested reaches below the harvested area, overall invertebrate diversity was not altered by previous harvesting activities. No differences were seen in benthic organic matter biomass nor were there significant relationships between nutrient concentrations with the aforementioned research variables during the study period.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.158
Threshold uncertainty score0.318

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.000
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 head0.007
GPT teacher head0.182
Teacher spread0.175 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations1
Published2009
Admission routes1
Has abstractyes

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