MétaCan
Menu
Back to cohort
Record W4394261484 · doi:10.6084/m9.figshare.4083372

YorkU.PondAndGravel.Oct26-2016.csv - Census 3: Investigating the effects of ground permeability on plants and animals

2016· dataset· en· W4394261484 on OpenAlexaboutno aff
Mariam El-Ma'asarany, Kathleen Gatdula, Chris P Crunch

Bibliographic record

VenueFigshare · 2016
Typedataset
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
Fundersnot available
KeywordsCensusPermeability (electromagnetism)GeographyEnvironmental scienceChemistrySociologyDemographyPopulationBiochemistry

Abstract

fetched live from OpenAlex

Studying mediums of vegetation with different permeabilities will help understand anthropocentric impacts in the City of Toronto, as artificial and impervious materials are used in urban infrastructures. Abundance and diversity of herbaceous plants, woody plants, vertebrates, and invertebrates were sampled. Observations were collected by three ecology students between 2:45 PM and 4:15 PM EST on Wednesday, October 26, 2016. On York University’s Keele campus, permeable spaces near Stong Pond and impermeable surfaces of the baseball diamond were used. It was a windy day with temperatures around 5°C. census: week number of campus ecology experimentscalendar.date: Gregorian calendar date of the field work, stating month and daycampus: university location of experimentsgroup_ID: unique name assigned to a group in York University’s campus ecologyhabitat: general environment of survey arealat: latitude of area, determined by GPSlong: longitude of area, determined by GPSelevation: elevation of area, provided by laboratory instructorrep: repetition number of a particular experiment/method Herbaceous PlantsHypothesis: The number of native plants, exotic plants, and flowers near Stong Pond and the impermeable area will be different.Predictions: There will be a greater number of native plants, exotic plants, and total number of flowers near Stong Pond compared to the impermeable area due to the fact that changed environmental conditions (human disturbance and gravel) would not allow for plant life to thrive.Outcome: The hypothesis was supported. Greater numbers of native plants, exotic plants, and total number of flowers were near Stong Pond. It is possible that human disturbance and the lack of soil structure and nutrients in the impermeable area contributed to lack of plant growth.Method: Every 2m, a quadrat (1mx1m) was placed along a 50m transect (alternating between right and left sides). Generally, exotic grass were counted through systematic estimation. Plant origin was determined using a search engine. This process was used in permeable and impermeable areas. abundance.native.plants: total number of native herbaceous plants counted within each quadrat. Native plants occur naturally in a particular ecosystem. Discrete data: positive integers. Unit: individuals.abundance.exotic.plants: total number of exotic herbaceous plants counted within each quadrat. Exotic plants are not native to the area of study. Discrete data: positive integers. Unit: individuals.total.number.flowers (quadrat): total number of flowers counted within each quadrat. Discrete data: positive integers. Unit: individuals. Woody PlantsHypothesis: There will be a difference between abundance of woody plants, total amount of flowers, canopy coverage, and ground coverage near Stong Pond and in baseball diamond.Predictions: There will be higher amounts of woody plants and flowers, higher canopy coverage, and ground coverage near Stong Pond compared to the baseball diamond. The gravel and human activities will interfere with abiotic and biotic interactions in the impermeable area.Outcome: The hypothesis was supported. There were no flowers, woody plants, grass, and vegetation found in impermeable areas; hence, there were 0% canopy cover and ground cover. Human disturbances, such as people travelling through the baseball diamond, affected soil compaction and nutrient uptake. Moreover, trampled grass and flowers needed more rainfall and nutrients to recover, but gravel absorbs water and blocks sunlight, which caused the soil to be dry and the plants, flowers, trees or any form of vegetation to wilt and die.Method: Two 25m transects were placed near the Stong Pond. Every 2m, total number of trees, canopy coverage, ground coverage, and total number of flowers within 0.5m of the transect were recorded. Trees taller than 1.5m were counted. To measure canopy coverage, a square was made with pointer and thumb, and held up to estimate percentage of canopy coverage. This was also done with ground coverage, but holding the square down. These steps were also done in the impermeable area. abundance.woody.plants: total number of trees taller than 1.5 meters, counted within 0.5 meters at each 2m interval along the 50m transect. Discrete data. Unit:individuals.canopy.cover: estimated by creating a square with researcher’s fingers, and seeing percentage of square covered by leaves.Continuous data. Units:percentage.ground.cover: estimated by creating a square with researcher’s fingers, and seeing percentage of square covered by plants, grass, and shrubs. Continuous data. Units:percentage.total.flower.numbers (transect): total number of flowers found within 0.5 meters per 2m intervals along 50m of transect tape. Discrete data. Unit:number of individuals. Vertebrates & InvertebratesHypothesis: The number of vertebrates and invertebrates will differ between permeable and impermeable areas (i.e. between pond banks and gravel). Predictions: Permeable land was predicted to support more vertebrate and invertebrate life because of factors such as aeration, water movement, and nutrient absorption. Artificial, impervious space was predicted to negatively affect vertebrate and invertebrate populations because of restrictions of abiotic and biotic interactions would impact autotrophic populations, which would have implications on heterotroph populations. Outcome: The hypothesis was supported: more animals appeared by the lake than the baseball diamond. Resources must be more plentiful near the pond. Lakeside animals included loons (the only animals in the water), humans, and seagulls. Animals by the gravel were humans and Canada geese. All non-human animals were flying animals, so it was possible that terrestrial animals were keeping warm or preparing for hibernation. Invertebrates abundances were little; possibly, chilly weather affected their activity. Also, plant experiments reported little vegetation in impermeable surfaces, which correlate with little abundances of vertebrates in the same location. Thus, permeability of the ground seems to affect all trophic levels.Method: As a guideline, 50m of transect tape was placed on the ground (two 25m transect tapes were used). Using 0m as the centre, the number of animals and humans were counted within a 50 metre radius formed by the transect. The survey lasted 15 minutes. Subsequently, invertebrate abundances were measured. Using 5m of transect tape, 0m was used as the centre. For 15 minutes, the number of invertebrates were counted within the 5m radius. The two surveys were replicated in the permeable and impermeable landscapes.abundance.vertebrates: total number of animals observed within a 50m radius for 15 minutes. Discrete data. Unit: individuals.vertebrate.species: total amount of species observed within a 50m radius for 15 minutes. Discrete data. Unit: numbers of species.abundance.human: total number of humans observed within a 50m radius for 15 minutes. Discrete data. Unit: individuals.abundance.invertebrates.observed: total number of invertebrates observed within a 5m radius for 15 minutes. Discrete data. Unit:individuals. InvertebratesHypothesis: There would be a difference between pond and impermeable surface abundances of invertebrates (data collected using pan trap and sweep net sampling methods).Predictions: There would be more invertebrates collected by pan traps and sweep netting near Stong Pond than impermeable surface area (baseball diamond). This is probably due to the lack of soil and vegetation that exists in the baseball diamond area to house invertebrates. Thus, impermeable surface conditions were not suitable for existence of invertebrates and do not promote plant growth.Outcome: The hypothesis was supported. More insects were collected near Stong Pond for pan trap and sweep net sampling techniques. This was probably due to the soil and vegetation that surrounds the area. This shows that the area near Stong Pond provided more suitable habitat for invertebrates.Method: Using the pan trap method, 6 pan traps were filled with soapy water. These traps were each distributed 3m apart along the length of a 50m transect. After 45 minutes, the number of invertebrates in pan traps were counted. A sweep net was used and replicated 10 times. Next to the transects, sweeps were performed and the number of invertebrates in the net were counted. This procedure was repeated for the impermeable surface area (baseball diamond). abundance.invertebrates.pantraps: total number of invertebrates collected and counted using pan trap sampling method near Stong pond and at the baseball diamond. Discrete data. Unit: individuals.abundance.invertebrates.sweepnet: total number of invertebrates collected and counted using the sweep net sampling method near Stong Pond and at the baseball diamond. Discrete data. Unit: individuals.

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)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Dataset · Consensus signal: none
Teacher disagreement score0.936
Threshold uncertainty score0.126

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.003
Science and technology studies0.0020.000
Scholarly communication0.0030.003
Open science0.0010.004
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.9330.921

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 head0.023
GPT teacher head0.239
Teacher spread0.215 · 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.

Study designNot applicable
Domainnot available
GenreDataset

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
Published2016
Admission routes1
Has abstractyes

Explore more

Same venueFigshareSame topicRangeland and Wildlife ManagementFrench-language works237,207