Home range, habitat selection, and annual survival of little brown bats (Myotis lucifugus) in central Canada
Bibliographic record
Abstract
The little brown bat (Myotis lucifugus) is one of several hibernating bat species in North America affected by a fungal pathogen that causes a disease known as White-nose syndrome (WNS). As a result, little brown bat populations have experienced massive declines, resulting in federal and provincial efforts to conserve the species. However, limited knowledge about space requirements and long-term survival rates may be limiting the effectiveness of management efforts. In my thesis I fill gaps in the scientific literature to provide information on which conservation efforts can use to incorporate more species-specific information and base quantitative objectives on. In my first data chapter, I determine how energetic demands associated with reproduction and WNS affect home range and habitat selection. Reproductive bats must balance high daily energetic costs to support pregnancy and milk production, requiring large home ranges. However, energy and time constraints associated with reproductive activities, such as juvenile care, may restrict the space that they can use. I tested two competing hypotheses to determine which of the two, time or energetic constraints, ultimately affect home range size during pregnancy and lactation. I used radiotelemetry to quantify night-time home ranges of reproductive female little brown bats from a WNS-positive maternity colony. Results indicated that lactating females used smaller home ranges than pregnant bats, suggesting that time constraints drive variation in space use among individuals. In my second data chapter, I estimate annual survival rates in two populations of little brown bats near the northern limit of the species’ range. I used seven years (2011-2017) of mark-recapture data for 4932 individual little brown bats to test the hypothesis that demographic characteristics, such as sex and age, along with seasonal environmental factors, affect variation in annual survival of little brown bats. At both hibernacula, annual survival varied over time with both age and sex of bats but did not vary with either summer or winter climatic variables. Male survival was generally higher than female survival and young-of-the-year survival was lower than that of adults. These results indicate that demography, and not environmental conditions influence inter-annual survival rates at my study sites. The results from this chapter suggest that females and juveniles are vulnerable groups in these populations. As a general management plan, conservation efforts should target female and juvenile demographic groups for protection, likely at maternity colonies where they are found at high densities during the summer. Taken together these results fill crucial knowledge gaps and provide critical baseline information on which management efforts can be based.
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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".