Effects of dispersal and local dynamics on spider diversity (Araneae) in an old field system
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.
Bibliographic record
Abstract
Processes at multiple spatial scales can interact to structure community diversity.I looked at the effects of both dispersal and local dynamics on spider diversity in young buckthorn trees in an old field system in southwestern Qubec, Canada.I investigated the rate, mechanism, and timescale of spider re-colonization of emptied trees and found that the rate fluctuated, peaking in mid-June and early August.Preventing cursorial immigration only significantly reduced immigrant abundance of the jumping spider guild (Salticidae), but it reduced species richness and changed taxonomic composition of immigrants.At peak immigration times, four days was enough time for emptied trees to be fully re-colonized such that spider abundance, species richness, and composition matched that in undisturbed trees, suggesting an important role for dispersal in structuring spider diversity in this system.I used a diversity addition experiment to test whether spider diversity is limited only by dispersal and found that local dynamics also limit spider diversity.This work contributes to understanding the forces structuring arboreal spider assemblages.helping to plan my project, for suggestions during my field work, for discussing my results with me, for editing my thesis, for lunchtime discussions about ecology, science, spiders, and other topics, and for his advice, encouragement, and enthusiasm throughout my time in his lab.From him I have learned a great deal about community ecology research, project design, scientific writing, and presentations.
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 imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it