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Record W7134920290 · doi:10.5376/me.2025.16.0005

Herbivorous Insects in Agroecosystems: Evolutionary Adaptations and Species Dynamics

2025· article· W7134920290 on OpenAlex
Guanli Fu

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueMolecular Entomology · 2025
Typearticle
Language
FieldAgricultural and Biological Sciences
TopicInsect-Plant Interactions and Control
Canadian institutionsnot available
Fundersnot available
KeywordsEctothermHerbivoreDynamics (music)Adaptation (eye)CoevolutionEvolutionary dynamics

Abstract

fetched live from OpenAlex

This study analyzed the biological characteristics, ecological roles, evolutionary adaptation mechanisms and population dynamics of herbivorous insects in agricultural ecosystems, discussed the classification and ecological habits of herbivorous insects, their impact on agricultural production and ecological network functions, and the concept of adaptive evolution unique to agricultural environments, focusing on the evolutionary adaptation mechanisms of herbivorous insects in terms of nutrient utilization, behavioral sensory perception and pesticide resistance. At the same time, the driving factors of their population dynamics were explored, including environmental factors, agricultural management measures and the impact of climate change. Through typical cases such as cotton bollworm, whitefly, Spodoptera litura , and rice planthopper, the phenomenon of multi-host adaptation, resistance evolution, population replacement and global expansion of herbivorous insects was analyzed. This study also looks forward to future research directions, such as multi-omics integration to reveal adaptation mechanisms, precision agriculture and population prediction models, biological regulation and ecological agriculture strategies, and adaptive evolution risk assessment under the background of climate change, in order to guide sustainable integrated pest management and provide reference for the stability of agricultural ecosystems and food security.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.782
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.215
Teacher spread0.208 · 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