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Inducible defences are a stabilizing factor for predator and prey populations: a field experiment

2010· article· en· W1540366518 on OpenAlexaff
Wiebke J. Boeing, Charles W. Ramcharan

Bibliographic record

VenueFreshwater Biology · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicFish Ecology and Management Studies
Canadian institutionsLaurentian University
Fundersnot available
KeywordsPredationBiologyDaphnia pulexPredatorDaphniaEcologyPopulationBranchiopodaZoologyTrophic cascadeFish <Actinopterygii>Extinction (optical mineralogy)FisheryZooplanktonCladocera

Abstract

fetched live from OpenAlex

Summary 1. Based on mathematical models, antipredator defence mechanisms are commonly believed to have stabilizing effects on communities. However, empirical data are still lacking. 2. We tested stabilizing effects of an inducible vertical migration defence in two Daphnia pulex clones in a 5‐week field enclosure experiment. A defended (migrated down into darker water layers in the presence of fish chemicals in both laboratory and field experiments) and non‐defended (no ability to react to fish chemicals) clone were directly exposed to fish predators and compared to control enclosures (no fish). 3. In the absence of planktivorous fish, both defended and non‐defended clones exhibited boom‐and‐bust dynamics, probably owing to over‐exploitation of the food source. Predation almost led to extinction of the non‐defended Daphnia clone during the experiment and the fish, deprived of food, lost weight. However, the population density of the defended clone was stable and it did not over‐exploit the algal food source, while there was a continuous supply of food to the fish, which consequently gained weight. 4. We conclude that both consumptive and non‐consumptive (also called non‐lethal or trait‐mediated) predator effects, coupled with prey defences, are key contributors to prey stability. This has a positive effect on both the predator and the food organism of the prey.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.210
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

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 head0.036
GPT teacher head0.285
Teacher spread0.248 · 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 teacher head, not a consensus.

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

Citations21
Published2010
Admission routes1
Has abstractyes

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