Invasion in the Light of Evolution: An Integrative Approach Using Two Widespread Widow Spider Species
Bibliographic record
Abstract
As invasive species spread around the world, understanding the factors underlying invasion success has become increasingly important. Using an evolutionary perspective to examine biological invasions, I investigated how organisms are able to rapidly adapt to new environments, and how selection on phenotypic traits changed over time during sequential stages of the invasion process. In this thesis, I used lab and field studies to assess the importance of behaviour, physiology, morphology, and plasticity to widow spider invasion success. Using this variation in invasion history, I explored patterns across organismal, population, and species-level scales. In Chapter Two, investigated the effects of metabolic rate on behaviour in Australian redback spiders, Latrodectus hasselti, and links between behavioural variation and fitness components measured in the field and laboratory. My work showed that metabolic rate influences fitness via correlation with multiple behaviours, but that metabolic rate alone does not drive all individual behavioural differences. In Chapter Three, I tested preadaptation and local adaptation in a native and an invasive population of L. hasselti to investigate tolerance of novel environmental conditions experienced in the invasive range. In this chapter, I showed that invasive populations may be able to thrive in novel environmental conditions because of increased behavioural plasticity, tolerance of temperature fluctuations, and higher fecundity. In Chapter Four, I compared populations of L. hasselti that are native, established invasive, and newly invasive, and assessed the relative importance of phenotypic traits likely to predispose a species to invasion success. I found that invasive populations of Australian redback spiders diverged from the native Australian population in behaviour, life history, and morphology. In Chapter Five, I tested hypotheses of behaviourally mediated spatial sorting and changes in tradeoffs during invasive spread using two independent invasions of brown widow spiders. I found similar patterns of increased dispersal propensity in two independent invasions of brown widow populations in Israel and the United States. These common patterns suggest that dispersal ability under positive selection in invasive populations, particularly the recently established populations. I infer that behavioural plasticity and dispersal propensity, together with a preference for human-disturbed environments, may underlie invasion and establishment in invasive widow species. In sum, my thesis has expanded our knowledge of how evolutionary processes affect the spread of invasive species through local adaptation, selective filters in the invasion process, and spatial sorting.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".