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Record W4366816045 · doi:10.21203/rs.3.rs-2846492/v1

Mapping and Evaluating Plant Phenology in the Qinghai-Tibet Plateau: A Digital Approach using the Plant Phenological Index (PI)

2023· preprint· en· W4366816045 on OpenAlexaff
Yan Qing Zhang, Zhou Xing Min, Zhou Hua Kun

Bibliographic record

VenueResearch Square · 2023
Typepreprint
Languageen
FieldEnvironmental Science
TopicRemote Sensing in Agriculture
Canadian institutionsSimon Fraser University
Fundersnot available
KeywordsPhenologyShrubGrowing seasonPopulationClimate changeEcosystemEnvironmental scienceTemperate climatePlateau (mathematics)Vegetation (pathology)Plant communityPhysical geographyEcologyGeographyBiologyEcological successionMathematicsDemography

Abstract

fetched live from OpenAlex

Abstract A new plant Phenological Index (PI) has been developed based on the visibility of plants, communities, and ecosystems. An evaluation and assessment of Zhang's Phenological Index (PI) were further examined based on the field observations of Alpine Shrub and Alpine Meadow vegetation at Haibei Alpine Ecosystem Research Station in the Northwest Qinghai-Tibetan Plateau. Zhang's PI is a measure of the plant phenological status on the time intervals, calculated the accumulation of PI area in two dimensions. Two phenological variables were described as the Phenological Average Ratio (PAR) and the Lasted Days (LD). The LD may overlap when a certain percentage of the plant population has a nutritional stage that lasts longer than one additional phenological stage or occurs between two phenological stages. Correspondingly, the standard deviations of the observed multiple plant species represent plant population variations. After reviewing the PI applications for phenology studies on Alpine Shrub and Alpine Meadow vegetation, we found that they provide a means of measuring and comparing plant phenology at various levels - population, community, and ecosystem. During the start and end of the season in the Alpine Plateau region, plant phenological changes were significantly constrained by the environmental factors. However, during the summer season, Sunlight Hours (X4), Accumulated Ground Temperature (X3) and Accumulated Air Temperate (X1) above 0 oC had a more uniform impact on plant phenology across the region. Zhang's PI can be used for climate change research by altering warming temperatures, water conditions, and nutrient levels. We also discussed the concern of applying Zhang's PI to global warming research. Moreover, the Seasonal Phenological Index (SPI) can be described on a regional scale and used with ASOS, SEOS, SPAR, and SLD characters to evaluate the changes in the timing of seasonal events in Eq. (3)(4)(5).

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)0.000
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 score0.037
Threshold uncertainty score0.074

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0030.002
Science and technology studies0.0000.000
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 head0.232
GPT teacher head0.378
Teacher spread0.146 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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