MétaCan
Menu
Back to cohort
Record W4403004095 · doi:10.1080/11956860.2024.2406160

Little owl ( <i>Athene noctua</i> ) pellets enhance seed germination under salinity stress in two leguminous plant species

2024· article· fr· W4403004095 on OpenAlexvenueno aff
Intissar Saada, Khouloud Bessadok, Abdessalem Hammouda, Saifeddine Eturki, Slaheddine Selmi

Bibliographic record

VenueEcoscience · 2024
Typearticle
Languagefr
FieldAgricultural and Biological Sciences
TopicSeed Germination and Physiology
Canadian institutionsnot available
Fundersnot available
KeywordsGerminationSalinityBiologyBotanyPelletsEcology

Abstract

fetched live from OpenAlex

As central-place foragers, owls accumulate prey remains, in the form of rejection pellets, around their roosting and nesting sites, which may modify top soil composition and influence seed germination. However, the effects of owl pellets on seed germination still remain understudied. In this study, we conducted germination assays on two plant species from south Tunisia to assess whether a prior treatment of the seeds with the filtrate of little owl (Athene noctua) pellets affected germination rates under different salinity conditions. Results showed enhanced germination in pellet-treated seeds compared to untreated seeds. Pellet treatment was also associated with reduced inhibitory effects of salt on seed germination. Moreover, at the scale of a little owl territory, the concentrations of organic matter and total nitrogen in the top soil were higher at the nesting site compared to a nearby unused site, providing some evidence of a fertilizing effect of pellets. Overall, our findings suggest that little owls play a significant role in shaping plant dynamics and ecosystem functioning in arid North African areas, where the soil is poor and threatened by salinization. We suggest that little owls may be relevant actors in eventual restoration and rehabilitation plans of degraded ecosystems in these areas.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.698
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.026
GPT teacher head0.280
Teacher spread0.254 · 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; both teacher heads agree on what is shown here.

Study designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueEcoscienceSame topicSeed Germination and PhysiologyFrench-language works237,207