Title:
Time of day predicts the activity budget in the Emerald Tree Boa (Boidae: Corallus batesii) across multiple behaviors

dc.contributor.advisor Goodisman, Michael
dc.contributor.author Berry, Savannah Margaret
dc.contributor.committeeMember Mendelson, Joseph
dc.contributor.committeeMember Weigel, Emily
dc.contributor.department Biology
dc.date.accessioned 2021-06-30T17:37:08Z
dc.date.available 2021-06-30T17:37:08Z
dc.date.created 2020-05
dc.date.issued 2020-05
dc.date.submitted May 2020
dc.date.updated 2021-06-30T17:37:08Z
dc.description.abstract Exploring the spatial ecology and behavior of organisms is essential to understand an organism’s niche and how to better accommodate animals that are kept in captivity (Ross et al., 2011; Plowman, 2003). Emerald Tree Boas (Corallus batesii) are commonly kept as pets and are important predators in the Amazon; however, despite their commercial exploitation and ecological importance, little is known about their behavior. This paper attempts to fill this literature gap by quantifying the behavior of a juvenile Corallus batesii. The activity budget of the snake was video recorded over a period of three months and was coded using the event logging software, BORIS (Friard & Gamba, 2016). After conducting individual regression analyses on five behaviors (hunting, moving, resting, other: stationary, and out of view), it was found that time of day significantly predicted the behaviors of hunting (p=0.0178, df=23, t=8.50) and resting (p=0.00337, df=23, t=3.52). Hunting behavior was observed between the hours of 2200 h and 700 h and resting between 800 h and 2100 h.
dc.description.degree Undergraduate
dc.format.mimetype application/pdf
dc.identifier.uri http://hdl.handle.net/1853/64839
dc.publisher Georgia Institute of Technology
dc.subject Activity budget
dc.subject Behavior, Tree boa
dc.subject Resting
dc.subject hunting
dc.title Time of day predicts the activity budget in the Emerald Tree Boa (Boidae: Corallus batesii) across multiple behaviors
dc.type Text
dc.type.genre Undergraduate Thesis
dspace.entity.type Publication
local.contributor.advisor Goodisman, Michael
local.contributor.corporatename College of Sciences
local.contributor.corporatename School of Biological Sciences
local.contributor.corporatename Undergraduate Research Opportunities Program
local.relation.ispartofseries Undergraduate Research Option Theses
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relation.isOrgUnitOfPublication 85042be6-2d68-4e07-b384-e1f908fae48a
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relation.isSeriesOfPublication e1a827bd-cf25-4b83-ba24-70848b7036ac
thesis.degree.level Undergraduate
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