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Record W2392583817

Structure Characteristics of the Arthropod Community in the Jujube Orchards with Different Habitats

2005· article· en· W2392583817 on OpenAlexaff
Shi GuangLu, Lilin Zhao, Zhenwang Miao, Suqi Liu, Hui Cao, Shiyou Li, G. Bruce Pike

Bibliographic record

VenueActa Entomologica Sinica · 2005
Typearticle
Languageen
FieldSocial Sciences
TopicForest, Soil, and Plant Ecology in China
Canadian institutionsNatural Resources CanadaCanadian Forest Service
Fundersnot available
KeywordsSpecies evennessArthropodBiologyDominance (genetics)Species richnessHabitatDiversity indexParasitoidEcologyIntercroppingNatural enemies
DOInot available

Abstract

fetched live from OpenAlex

The structures and characteristics of the arthropod communities of jujube orchards with different habitats were analyzed based on the survey in the suburb of Taigu County, Shanxi Province, Northern China. The results indicated that the largest number of arthropod species and the least number of individuals were in the treatment with weeds (P<0.05), and the least number of arthropod species and the largest number of individuals were in the treatment without weeds (P<0.05). In the comparison of species richness of different groups, the phytophagous group was the largest, but the predatory and parasitoid groups were the smallest in the treatment without weeds; the phytophagous group was the least, but predatory and parasitoid groups were the largest in the treatment with weeds. There were no significant differences (P>0.05) of species and individuals within the parasitoid group between the treatment with soybean and the treatment without weeds. The analysis based on the Shannon-Wiener diversity index and relative stability values suggested that the richer the plant diversity, the better regulation ability among arthropod communities. More crops and properly remaining weeds could reduce the possibility of natural enemies migrating out. In addition, intercropping more crops in jujube orchards was more beneficial not only in getting a larger net return but also in increasing diversity and evenness of beneficial insects and decreasing the degree of pest dominance.

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)0.001
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 score0.090
Threshold uncertainty score0.985

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
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 head0.028
GPT teacher head0.294
Teacher spread0.266 · 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

Citations1
Published2005
Admission routes1
Has abstractyes

Explore more

Same venueActa Entomologica SinicaSame topicForest, Soil, and Plant Ecology in ChinaFrench-language works237,207