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Record W4293053616 · doi:10.1002/joc.7699

Responses of vegetation phenology to the asymmetric changes of temperature in daytime and night‐time in the north of 20°N

2022· article· en· W4293053616 on OpenAlexaff
Xuehui Hou, Shuai Gao, Xinhua Li, Meng Wang, Jia Zhao, Xueyan Sui, Shouzhen Liang

Bibliographic record

VenueInternational Journal of Climatology · 2022
Typearticle
Languageen
FieldEnvironmental Science
TopicRemote Sensing in Agriculture
Canadian institutionsMinistry of Agriculture
FundersNational Key Research and Development Program of China
KeywordsDaytimePhenologyEnvironmental sciencePrecipitationClimatologyAtmospheric sciencesClimate changeAridGlobal warmingGrowing seasonAltitude (triangle)Temperate climateEcologyGeographyMeteorologyBiology

Abstract

fetched live from OpenAlex

Abstract Focusing on the regional differences in the asymmetric effects of daytime and night‐time warming on plant phenology, (a) the start‐of‐season (SOS) and end‐of‐season (EOS) were extracted based on a normalized difference vegetation index (NDVI) dataset for areas north of latitude 20°N during 1982–2015; (b) the partial Pearson correlation coefficient between phenology and temperature was calculated, excluding the effects of precipitation, drought, and evapotranspiration; and (c) the asymmetric effects of daytime and night‐time temperatures on phenology were analysed from the perspectives of the entire study area, different climate regimes, and different altitudes. The results show that phenology showed opposing responses to changes in daytime temperature (Td) and night‐time temperature (Tn) in spring as well as autumn. However, such asymmetric effects were dependent on the climate. In arid/semi‐arid regions, increasing Td induced drought stress by facilitating evaporation from soil, resulting in a delayed SOS and an early EOS, while increasing Tn was beneficial for seed germination and leaf unfolding in the spring. In temperate climate regimes, the responses of phenology to warming in the day and night were more complicated due to different plant species and precipitation. In cold regions, increasing Td led to the advancement of the SOS, while increasing Tn delayed it. In contrast, night‐time warming in autumn significantly delayed the EOS and daytime warming advanced the EOS in cold regions. Warming affected the seasonal dynamics of plants in spring and autumn to a greater degree at higher altitudes than at lower altitudes, which is consistent with the results of previous studies. These results provide valuable insights into the patterns of the asymmetric relationship between the effects of changes in daytime and night‐time temperatures on plant phenology, over a range of regions and altitudes.

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 score0.019
Threshold uncertainty score0.038

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
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 head0.008
GPT teacher head0.245
Teacher spread0.236 · 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

Citations10
Published2022
Admission routes1
Has abstractyes

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