The Effects of Urbanization on the Ecology and Evolution of Species Interactions
Bibliographic record
Abstract
Urbanization alters the environment in profound ways that affects both the ecology and evolution of species and their interactions with one another. My thesis explores how urbanization alters ecological processes in urban populations and communities and investigates how patterns of ecological change feedback to influence the evolution of populations. Throughout my thesis, I use a combination of perspective pieces, literature reviews, and empirical research to identify and test avenues of research in the field of urban evolutionary ecology. In my first chapter, I reviewed the literature and identified key questions that needed to be addressed by the field. I followed up on one of these questions in my second chapter, where I reviewed the literature to identify patterns on non-adaptive evolution in urban populations. In the next two chapters, I measured the effects of urbanization on plant-pollinator and plant-herbivore interactions. My results demonstrated that urbanization alters interactions between Brassica rapa and its pollinators, leading to altered patterns of pollen dispersal and reproductive success in cities. Similarly, my results demonstrated that even small human settlements lead to increased seed predation rates and modified natural selection in Tribulus cistoides. My sixth chapter looked at the effects of urbanization on the mating system and population genetic variation of Impatiens capensis, and found that despite high outcrossing, urban populations were less genetically diverse than rural populations. My last chapter broadens the scope of my research and identifies joint effects latitude and sexual system on resistance to herbivory in Sagittaria latifolia. My thesis identified consistent effects of urbanization on the ecology and evolution of species and their interactions with one another and provides research directives to develop and broaden the scope of the field of urban evolutionary ecology.
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 machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".