DISAMPING KANAN INI.............
PLEASE USE ........ "TRANSLATE MACHINE" .. GOOGLE TRANSLATE BESIDE RIGHT THIS
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Penelitian
jaringan sosial dapat meningkatkan upaya konservasi anjing padang rumput / prairie dog
Menggunakan
alat statistik untuk memetakan hubungan sosial anjing prairie anjing, para peneliti telah menemukan
hubungan teknik observasi tradisional, ....yang dapat membantu membatasi
penyebaran wabah bubonik dan membimbing upaya konservasi masa depan.
Social network research may boost prairie dog conservation efforts
Date:
July 28,
2014
Source:
North Carolina State University
Summary:
Using statistical tools to map social connections in
prairie dogs, researchers have uncovered relationships that escaped traditional
observational techniques, shedding light on prairie dog communities that may
help limit the spread of bubonic plague and guide future conservation efforts.
.................
Researchers using statistical tools to map social
connections in prairie dogs have uncovered relationships that escaped
traditional observational techniques, shedding light on prairie dog communities
that may help limit the spread of bubonic plague and guide future conservation
efforts. The work was done by researchers from North Carolina State University
and the National Evolutionary Synthesis Center (NESCent).
"Prairie
dogs are increasingly rare and are subject to bubonic plague," says Dr.
Jennifer Verdolin, lead author of a paper on the work and an animal behavior researcher
at NESCent. "This work improves our understanding of the social dynamics
within a prairie dog colony, which could help us find ways to mitigate the
spread of plague. It also helps us understand how these social groups are
connected, so we can limit the disruption to prairie dog populations when we
need to relocate them for conservation purposes."
"This
project also emphasizes how useful social network theory can be when applied to
population biology," says Amanda Traud, co-author of the paper and a Ph.D.
candidate in biomathematics at NC State. "And we also developed new tools
for this project that can be applied elsewhere and help us use social network
theory more effectively to study other species.
"For
example, we developed new code that can identify individuals that serve as
'hubs' or 'bridges,' connecting different groups within a population,"
Traud says.
The
researchers used data Verdolin collected on three Gunnison's prairie dog (Cynomys
gunnisoni) colonies in Arizona, ranging in size from 60 to 200 individuals.
Each colony is made up of numerous, smaller social groups that can consist of
up to 15 individuals.
Traud
developed statistical tools using social network theory to analyze one year's
worth of data on the three colonies, focusing specifically on "greet
kissing," in which prairie dogs briefly lock teeth with each other. If
individuals are from the same social group, they part amicably. If they are
from different groups, they usually fight or chase one another after greet kissing.
By looking
at data on greet kissing, Traud established which prairie dogs were in the same
group. These groups were consistent with the groups Verdolin had determined,
using conventional observational methods of behavior and location.
However, the
math-driven social network theory approach also identified substructures within
those social groups and key "bridge" individuals that connected
different groups -- findings that may have significant conservation
applications.
"For
example, there's a possibility that we could slow or stop the spread of plague
in a colony by relocating these bridge individuals," Traud says.
"By the
same token," Verdolin says, "conservationists could use this data to
be sure to relocate all of a relevant social group, rather than splitting up
groups. That could improve the group's chances of thriving in a new
environment."
Story
Source:
The above
story is based on materials provided by North Carolina State University. Note: Materials may be edited
for content and length.
Journal
Reference:
- Jennifer L. Verdolin, Amanda L. Traud, Robert R. Dunn. Key players and hierarchical organization of prairie dog social networks. Ecological Complexity, 2014; 19: 140 DOI: 10.1016/j.ecocom.2014.06.003