Assessing the effects of mowing intensity on the overwintering stem‐dwelling insect community of <i>Solidago altissima</i> L. (Asterales: Asteraceae)
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
Abstract Mowing is a commonly used and necessary practice in the management of urban meadowscapes. However, mowing is also a source of mortality for insects in these meadowscapes. In this study, we examined how changes in mowing intensity for mows performed in late fall affect overwintering stem‐dwelling insects. We define mowing intensity as the size of thatch produced by the selected mowing equipment and blade positioning. We also generate more information on the spatial structure of the stem‐dwelling insect community in these urban meadowscapes, both within individual stems and within the broader habitat. We artificially simulated different levels of mowing intensity on the stem‐dwelling insects of Solidago altissima L. (Asterales: Asteraceae) by cutting stems to different lengths and recorded their survival and mortality outcomes. We found that a low intensity mowing treatment yielded lower mortality rates than a no‐mow control and a high intensity mowing treatment. We also found that stem‐dwelling insects are distributed in a non‐random arrangement vertically within stems of Solidago altissima and in the broader urban meadowscape. These findings highlight the importance of understanding the effects of changing mowing parameters on the insect community when designing management practices for urban meadowscapes. We also identify some new gaps in our understanding of stem‐dwelling insects and how they may interact with disturbances.
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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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