The importance of long-term capture-mark-recapture archives for wildlife monitoring and research: Two examples from bat populations

Long-term capture-mark-recapture (CMR) projects provide useful data to study and monitor wildlife. Specifically, CMR data can help identify how an animal interacts with its environment and how these interactions change throughout its life. In this thesis, I use data and sample archives from temperat...

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Bibliographic Details
Main Author: Grottoli, Adam
Format: Master Thesis
Language:English
Published: University of Waterloo 2021
Subjects:
Online Access:http://hdl.handle.net/10012/16949
Description
Summary:Long-term capture-mark-recapture (CMR) projects provide useful data to study and monitor wildlife. Specifically, CMR data can help identify how an animal interacts with its environment and how these interactions change throughout its life. In this thesis, I use data and sample archives from temperate hibernating bats captured and tagged as part of a long-term project in Newfoundland and Labrador, Canada. In Chapter 2, I use fur collected from adult female ???????????????????????? ???????????????????????????????????? captured multiple times from 2012-2017 to investigate age dependent changes in the concentration of the toxic compound, methylmercury (MeHg). Results suggest total mercury concentrations, which are highly correlated with MeHg, decrease with age in the fur of adult female bats. This pattern indicates that adult female bats can eliminate enough MeHg from their tissues to have steady or decreasing concentrations in their fur. In Chapter 3, I use forearm measurements taken by multiple observers from captured and tagged ????. ???????????????????????????????????? and ???????????????????????? ???????????????????????????????????????????????????????????? to quantify the measurement error and observer bias associated with this morphometric variable. Results suggest measurement error can add enough variation to mask relationships between forearm length and related variables. Further, observer bias can cause type I errors when comparing populations with small differences in forearm length that were measured by different observers. These two studies exemplify the use of long-term CMR projects as an invaluable tool to assess research techniques, study wildlife biology, and monitor ecological changes.