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JOURACA_SP_2017

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Age Specific Patterns in Window<br />

Mortality in Avian Populations<br />

Emma Rhodes<br />

Abstract<br />

Building collisions, especially window collisions,<br />

pose a major anthropogenic threat to<br />

birds. Mortality caused by building collisions<br />

is estimated to be between 100 million<br />

and 1 billion annually, and it is the second<br />

largest source in the U.S. for direct humancaused<br />

bird mortality. Studies have been<br />

conducted focusing on the frequency of<br />

building/window collisions in avian populations,<br />

but so far no studies have looked at<br />

the relationship between age and mortality<br />

due to the collision. The primary goal of<br />

this study is to address this question by examining<br />

available data using bird collections.<br />

Data were collected from bird specimens<br />

persevered as study skins at Louisiana<br />

Southern University. Only specimens with<br />

cause of death as window strike were used. I<br />

collected data on a total of 183 birds belonging<br />

to three genera (Cardinalis, Setophaga,<br />

and Seiurus). In order to age the birds,<br />

external morphological data were attained<br />

from the specimens as well as data on death<br />

date, location, and sex from. Morphological<br />

data were attained primarily considering the<br />

morphology of the feathers following the<br />

criteria indicated Identification Guide to<br />

North American Birds: Part 1 and Part 2 by<br />

Peter Pyle. Our results indicate that most<br />

birds' death due to window collision occurred<br />

in adults. Further study needs to consider<br />

both external morphological features<br />

Department of Biology<br />

Biology<br />

Mentor: Dr. Ylenia Chiari<br />

for a better predictor of age. The results of<br />

this study provide significant implications<br />

on how window strike mortality effects avian<br />

populations for conservation purposes.<br />

The study observed how an age-specific<br />

correlation with window strike mortality<br />

may play a role in the turnover rate of avian<br />

populations as well as on estimating the effective<br />

population size and survival.<br />

33

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