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|Title: ||Data-Oriented Analyses of Ciliate Foraging Behaviors|
|Authors: ||Yang-Chi Chang|
Decision tree analysis
Optimal foraging theory
|Issue Date: ||2018-10-29T05:55:46Z
|Abstract: ||Abstract: Optimal foraging theory states that natural
selection makes foragers efficient food harvesters
and maximizing a colony’s energy intake. This study
presumed that the ciliates foraging trajectories follow
optimal foraging theory, verified the presumption and
discover specific rules and patterns hidden in the
ciliate’s trajectories data using methodologies of
statistical, cluster analyses, and decision tree analysis.
This study examined the foraging behaviors of
ciliates by video recordings and quantitative analyses
of movement trajectories under four nourishment
conditions (low, medium, high, and highest concentrations).
Similar biological studies adopt statistical
analyses to certain locomotion indices to determine
the responses of plankton to various aquatic environments.
In addition to statistical analyses, cluster
analysis was used in this study to confirm the
observations of the statistical analyses. The statistical
analysis and cluster analysis results in this study
revealed two distinct groups of trajectories or behaviors,
which matched the optimal foraging theory.
Decision tree analysis was then applied to acquire
objective information regarding foraging behaviors,
and further detailed the foraging behaviors with
explicit classification rules using locomotion indices.
The production rules can play an alternative role to
assess the sustainability of an aquatic environment in
terms of algae concentration.
|Appears in Collections:||[生命科學暨生物科技學系] 期刊論文|
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