Loss of riparian vegetation alters the ecosystem role of a freshwater crayfish (<i><i>Cherax destructor</i></i>) in an Australian intermittent lowland stream
Bibliographic record
Abstract
Loss of riparian vegetation surrounding streams can affect instream biota by altering stream characteristics, such as terrestrially derived detrital inputs and instream productivity. Omnivorous crayfish can be a dominant component of stream biota and are considered a keystone species because of their ability to forage at multiple trophic levels. Resource shifts caused by changes in riparian canopy have the potential to influence crayfish diet and growth. We investigated the effects of changes in canopy cover on the crayfish Cherax destructor in a southeastern Australian lowland stream. We compared the diet of C. destructor between sites with and without riparian cover and determined how differences in the quantity of food resources between sites affected crayfish growth. The availability of basal (plant, algae, and detrital) resources was related to the presence of a riparian canopy. Aquatic macrophytes were more common at sites with no canopy cover and terrestrially derived leaf litter was more abundant at sites with an intact canopy. Stable isotope and gut content analyses of crayfish diet indicated a shift toward autochthonous food sources in individuals from sites with no canopy cover. In laboratory feeding trials, crayfish had higher growth rates when fed macrophyte material than when fed terrestrially derived leaf litter. Insights gained into resource use by crayfish, particularly the importance of aquatic invertebrates in crayfish diet, emphasize the merits of conducting both gut content and stable isotope analyses to assess short- and longer-term aspects of diet. Further structural and functional impacts of changes to riparian condition should be investigated, but the trophic role of C. destructor in stream food webs appears to be sensitive to alterations in the dominant basal resources associated with changes in riparian canopy.
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 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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".