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Using social network analysis tools in ecology: Markov process transition models applied to the seasonal trophic network dynamics of the Chesapeake Bay

Abstract:

Ecosystem components interact in complex ways and change over time due to a variety of both internal and external influences (climate change, season cycles, human impacts). Such processes need to be modeled dynamically using appropriate statistical methods for assessing change in network structure. Here we use visualizations and statistical models of network dynamics to understand seasonal changes in the trophic network model described by Baird and Ulanowicz [Baird, D., Ulanowicz, R.E., 1989....

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Publication status:
Published

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Publisher copy:
10.1016/j.ecolmodel.2009.06.037

Authors


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Institution:
University of Oxford
Division:
MPLS
Department:
Statistics
Role:
Author


Host title:
ECOLOGICAL MODELLING
Volume:
220
Issue:
22
Pages:
3133-3140
Publication date:
2009-11-24
DOI:
ISSN:
0304-3800


Keywords:
Pubs id:
pubs:97831
UUID:
uuid:c2079df1-c281-457d-a905-8cc6eb042dcf
Local pid:
pubs:97831
Source identifiers:
97831
Deposit date:
2012-12-19

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