Bridging reproductive management and ecosystem function: behavioural pathways linking contraception to zoogeochemistry
Bibliographic record
Abstract
Fertility control interventions have become a popular method of managing population growth in hyperabundant wildlife species. However, the literature reveals a range of unintended physiological, behavioural, and population-level consequences. We synthesized studies on wildlife fertility control interventions to identify these unintended consequences and their broader ecological implications. Through the lens of zoogeochemistry—the study of how animals influence the distribution and cycling of elements across ecosystems—we articulate how unintended secondary effects of fertility control impact biogeochemical processes via changed animal behaviour. Building on an existing framework, we identify four pathways through which fertility control interventions can affect ecosystem structure and function via changes to (1) animal physiology; (2) animal diet and elemental intake; (3) animal movement and activity patterns; and (4) animal community size and composition. Evidence indicates that wildlife fertility control can have unintended consequences, creating knock-on effects that alter individual animal behaviours such as diet, movement, activity, and animal community composition and abundance. We demonstrate how these changes can affect the distribution and stoichiometry of elements across landscapes, ultimately illustrating the link between birth-control-induced changes in behaviour to effects on ecosystem composition and functioning.
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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 | 0.000 |
| 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 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".