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Record W4394223228 · doi:10.6084/m9.figshare.4028334

Ecological variation of plant and animal species in grassland and disturbed environments at York University

2016· dataset· en· W4394223228 on OpenAlexaboutno aff
Avani Abraham, Vanessa Guo, Monica Matta, Krysten Zarivnij

Bibliographic record

VenueFigshare · 2016
Typedataset
Languageen
FieldEnvironmental Science
TopicRangeland and Wildlife Management
Canadian institutionsnot available
Fundersnot available
KeywordsGrasslandVariation (astronomy)EcologyGeographyEnvironmental scienceBiology

Abstract

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Methods: In order to assess the relationship between species abundance and habitat, 2 tape measures were used to create a 50 meter transect in grassland and a disturbed area respectively. 4 different surveys were conducted along the transect. The first survey was conducted on herbaceous plants. Every two meters along the 50 meter transect, a quadrat was placed, alternating between left and right of the transect, for a total of 25 replicates. Total number of native plants, exotic plants, and flowers were visually counted within each quadrat. The same procedure was conducted both in grassland and in a disturbed area. The second survey was conducted on woody plants. Every two meters along the 50 meter transect, the trees within 0.5 meters of either side were counted, for a total of 25 replicates. The canopy coverage of each tree and the total vegetation ground coverage were visually estimated and the total number of flowers were visually counted. Only trees that were taller than 1.5m in height were counted. The same procedure was conducted both in grassland and in a disturbed area. The third survey was conducted on vertebrates and invertebrates. Within a 50 meter radius starting at the beginning of the transect tape, visual aerial observations were made for 15 minutes. This procedure was repeated for a 5 meter radius starting at the beginning of the transect. Vertebrate abundance, number of different vertebrate species, number of different invertebrate species and human abundance were recorded. The same procedure was conducted both in grassland and in a disturbed area. The fourth survey was conducted on invertebrates. 6 pan traps (solo bowls filled halfway with soap water) alternating between white, yellow and blue in colour were placed 3 meters apart from one another along the 50 meter transect. Total number of invertebrates caught in the pan traps were counted after 45 minutes. During the 45 minutes, sweep nets were used along the 50 meter transect for 10 replicates. Abundance of invertebrates found in the net after each sweep was counted. The same procedures were conducted both in grassland and in a disturbed area. Study Site: This study took place at the Northeast corner of York University Keele campus on October 13th, 2016 between 2:30PM to 4:30PM. The weather was cold and windy and the temperature was 11⁰C. The study was conducted in a grassland located beside Danby Woods at 43.776126⁰N, -79.49628⁰W at an elevation of 176.309174 ft and a disturbed area located at 43.776088⁰N, -79.4399102⁰W at an elevation of 174.439102 ft. A 50 meter transect, pan traps, sweep nets, and 1m2 quadrats were used as equipment. Visual counts were made to measure each attribute. Hypothesis: The abundance of plants will be greater where there is less canopy coverage. This is because a greater canopy coverage reduces sunlight to plants below the tree. Predictions: 1) The grassland will have less trees, therefore less canopy coverage. 2) The total number of plants will be greater in the grassland. 3) The invertebrate abundance will be greater where there are more plants. Group Members: Avani Abraham, Vanessa Guo, Monica Matta, Krysten Zarivnij Meta-data (attribute & description): CENSUS: Each group in each lab section samples each block only ONCE, order of sampling is organized by lab ta to ensure at least one group samples each block over three separate weeks Corresponds to the sampling week. Week5=1, Week7=2 and Week8=3 (categorical data) CALENDAR.DATE: Month and date of data collection in 2016, in the format (oct13-2016) (discrete data) CAMPUS: The York University Keele campus was recorded as YorkU and the University of Toronto Mississauga Campus was recorded at UTM. (categorical data) GROUP_ID: The unique group identifier within each lab. Group_ID was the word “lab” followed by the first 2 digits corresponding to the lab section, then the word “group” is followed by the two digits corresponding to the group within the lab section. The TA assigns a group number within each labs section. (categorical data) HABITAT: Grassland is defined as an open area at least 250m by 250m in size with few trees. A disturbed area is defined as open space similar to grassland in size but with more mixed vegetation and more trails/pathways for people such as a university open commons. (categorical data) LATITUDE AND LONGITUDE: The geographic location of each plot in UTM coordinates. (continuous data) ELEVATION: The height above the sea level in ft. (continuous data) REP: The number of replicates per observation. (discrete data) ABUNDANCE.NATIVE.PLANTS: A 1m x 1m quadrat was used to measure the abundance of native vegetation in the quadrat. Quadrats were used to determine the abundance of vegetation along a 50m transect. Quadrats were placed on alternating sides 2m apart along the 50m transect. (discrete data) ABUNDANCE.EXOTIC.PLANTS: A 1m x 1m quadrat was used to measure the abundance of exotic vegetation in the quadrat. Quadrats were used to determine the abundance of vegetation along a 50m transect. Quadrats were placed on alternating sides 2m apart along the 50m transect. (discrete data) TOTAL.NUMBER.FLOWERS: Flowers observed in quadrats were recorded as a total number of independent flower heads. Each flower was considered independent if it has its own stem. (discrete data) ABUNDANCE.WOODY.PLANTS: In grassland and disturbed areas, using a transect tape abundance of woody plants were counted within 0.5m on both sides of tape. Woody plants were considered any vegetation observed with bark/woody stems. (discrete data) CANOPY.COVER: At every other meter, an estimate of canopy coverage (look up) was observed. A quantitative measure was used to describe how much canopy covered the observers view. A percentage of the coverage was recorded as an integer (1-100). (continuous data) GROUND.COVER: At every other meter (alternating with canopy coverage), estimate vegetative ground cover (look down) was observed. A quantitative measure was used to describe how much ground covered the observers view. A percentage of the coverage was recorded as an integer (1-100). (continuous data) TOTAL.FLOWER.NUMBERS: Every 5m, record total number flowers within 1m of the transect tape. This is a very coarse, landscape-level estimate of floral density within this region of your campus. (discrete data) ABUNDANCE.VERTEBRATES: Abundance of animals such as squirrels, birds, etc. were recorded. Vertebrates were observed within 50m radius of the beginning of the 50m transect for 15mins. A tape measure was used as a guide for the 50m transect. (discrete data) VERTEBRATE.RICHNESS: Any vertebrate species that looked different was considered a unique species and counted independent of similar looking species. Abundance of unique vertebrate species observed during a 15min survey period. (discrete data) ABUDANCE.HUMAN: Abundance of humans were recorded. Humans were observed within 50m radius of the beginning of the 50m transect for 15mins. A tape measure was used as a guide for the 50m transect. (discrete data) ABUNDANCE.INVERTEBRATES.PANTRAPS: Total abundance of insects captured using pan traps placed along a 50m transect at ground level. (discrete data) ABUNDANCE.INVERTEBRATES.SWEEPS: Total abundance of insects captured using sweep nets used along a 50m transect at ground level. (discrete data) ABUNDANCE.INVERTEBRATES.OBSERVED: Total abundance of flying insects observed within 5m radius of the beginning of the 50m transect. Recorded as a single value in the first row of your data sheet as a total sum. Abundance of invertebrates were observed for 15 min. (discrete data)

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: Dataset · Consensus signal: none
Teacher disagreement score0.855
Threshold uncertainty score0.289

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 science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.016
GPT teacher head0.178
Teacher spread0.163 · 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
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".

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Citations0
Published2016
Admission routes1
Has abstractyes

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