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Record W4411710289 · doi:10.1080/20442041.2025.2521524

Terrestrial invertebrates respond to food subsidies in dry streambeds of nonperennial rivers: effects of subsidy type and their moisture condition

2025· article· en· W4411710289 on OpenAlexaff
Zeus Freixinos, Rosa Gómez, Pablo Rodríguez‐Lozano, Jesús Miñano, Stephanie M. Carlson, Hana Moidu

Bibliographic record

VenueInland Waters · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicSpecies Distribution and Climate Change
Canadian institutionsEnvironment and Climate Change Canada
FundersMinisterio de Ciencia e InnovaciónFundación Séneca
KeywordsSubsidyInvertebrateEnvironmental sciencePerennial plantMoistureEcologyPerennial streamHydrology (agriculture)STREAMSBiologyGeographyEconomicsGeology

Abstract

fetched live from OpenAlex

Non-perennial streams alternate between wet and dry phases, with dry streambeds attracting high diversity of terrestrial invertebrates, likely due to accumulated aquatic food subsidies. However, this aspect is only beginning to be explored. We examined how different food subsidies (leaf litter, macrophytes, macroinvertebrates, and fish) attract terrestrial invertebrates in dry streambeds and how their moisture condition (wet vs. dry) influences this attraction. Field experiments were conducted in two Mediterranean non-perennial streams by adding these subsidies separately in each moisture condition and analyzing invertebrate responses (community structure and composition). We hypothesized that food subsidies attract terrestrial invertebrates, with structural and compositional responses varying by subsidy type and moisture condition. Subsidies affected terrestrial invertebrates only in one stream, influencing abundance and composition but not richness. Fish carrion in wet condition attracted the highest invertebrate abundance across all subsidies and moisture conditions. Community composition varied depending on subsidy type, regardless of moisture: fish carrion attracted mainly scavengers, while plant-based subsidies favored herbivores and detritivores. Our findings highlight the role of food subsidies in structuring terrestrial communities in dry streambeds and the complex interplay between community composition, subsidy type, and moisture conditions.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.088
Threshold uncertainty score0.274

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)0.0000.000

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 head0.010
GPT teacher head0.229
Teacher spread0.219 · 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.

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

Citations2
Published2025
Admission routes1
Has abstractyes

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