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Record W4281489624 · doi:10.32920/19775362.v1

Local stability analysis on the predator-prey model with intraguild predation

2022· preprint· en· W4281489624 on OpenAlexaff
Camille McCluskey

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldMedicine
TopicMathematical and Theoretical Epidemiology and Ecology Models
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsIntraguild predationPredationPredatorStability (learning theory)EcologyBoundary (topology)MathematicsStatistical physicsEquilibrium pointApplied mathematicsMathematical economicsComputer scienceBiologyPhysicsMathematical analysisDifferential equation

Abstract

fetched live from OpenAlex

We consider the predator-prey system with a common consuming resource that was proposed by Holt and Polis in 1997 to introduce the the effects of intraguild predation in modelling community ecology. Some of the results suggest that strong intraguild predation can even foster the coexistence of species. In 2018, the spatiotemporal dynamics of the model proposed was further analyzed to illustrate the theoretical findings previously mentioned in 1997. In this thesis, we perform transformations to the system, in order to study a simplified equivalent system. The number of parameters is re- duced without altering the biological meaning of the system or the dynamic behaviour. The local stability of the model is studied at each of the two pos- itive boundary equilibria and at the positive interior equilibrium by finding the intervals of the parameters involved. The behaviour of the system will depend on which intervals the parameters fall. The emphasis is put on the ranges of the predation rate assuming, there is less that can be done to in- fluence the parameters representing the natural birth and death rates of the prey and predator. By using the qualitative theory for autonomous planar systems, we show under which conditions each positive boundary equilibria can be a saddle, saddle node, or stable, and the interior positive equilibrium is locally asymptotically stable. Under certain conditions the positive in- terior equilibrium is a stable node. It is interesting to note that when the consumption of the common resources are equal for the predator and prey species then we would be dealing with a symmetric system.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.023

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.002
Research integrity0.0010.001
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 head0.052
GPT teacher head0.303
Teacher spread0.252 · 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 designSimulation or modeling
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
Published2022
Admission routes1
Has abstractyes

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