Ontogenetic shifts in competitive interactions and intra‐guild predation between two wolf spider species
Bibliographic record
Abstract
Abstract. 1. The wolf spiders (Araneae: Lycosidae) Hogna helluo (Walckenaer) and Pardosa milvina Hentz co‐occur in soybean fields of south‐west Ohio, U.S.A. As adults, Hogna is the larger species and has the competitive advantage in most interactions; due to differing phenologies, however, their size‐classes frequently overlap and as such there is potential for shifts in competitive ability and intra‐guild predation. The hypothesis that competitive interactions and intra‐guild predation will favour Pardosa when Pardosa is similar‐sized, or has a size advantage over Hogna , was tested in laboratory and field experiments. 2. Studies in laboratory arenas, pairing similar‐sized individuals of these species and Hogna spiderlings with larger spiders of both species, revealed that intra‐guild predation seldom occurs with similar‐sized Hogna and Pardosa , however Pardosa will consume small Hogna individuals in laboratory arenas. 3. Field experiments involved stocking high densities (50 m – ) of Pardosa and Hogna in enclosures placed in soybean fields. In experiments with spiders of similar size, no interspecific effects were uncovered, but an intraspecific effect was found for Pardosa as its survival and weight gain were lower in the presence of more conspecifics. Large Hogna or Pardosa had no effect on the survival or weight gain of Hogna spiderlings. 4. Although Hogna is a better competitor as an adult, it has no advantage over Pardosa when their size‐classes overlap, and Pardosa effects on Hogna may be inconsequential under field conditions. Therefore, the co‐existence of these species is fostered by the fact that there are few negative interspecific interactions during their ontogeny.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".