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Food Web Topology and Nested Keystone Species Complexes
Joint Authors
Capocefalo, Daniele
Pereira, Juliana
Mazza, Tommaso
Jordán, Ferenc
Source
Issue
Vol. 2018, Issue 2018 (31 Dec. 2018), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2018-12-02
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
Important species may be in critically central network positions in ecological interaction networks.
Beyond quantifying which one is the most central species in a food web, a multinode approach can identify the key sets of the most central n species as well.
However, for sets of different size n, these structural keystone species complexes may differ in their composition.
If larger sets contain smaller sets, higher nestedness may be a proxy for predictive ecology and efficient management of ecosystems.
On the contrary, lower nestedness makes the identification of keystones more complicated.
Our question here is how the topology of a network can influence nestedness as an architectural constraint.
Here, we study the role of keystone species complexes in 27 real food webs and quantify their nestedness.
After quantifying their topology properties, we determine their keystone species complexes, calculate their nestedness, and statistically analyze the relationship between topological indices and nestedness.
A better understanding of the cores of ecosystems is crucial for efficient conservation efforts, and to know which networks will have more nested keystone species complexes would be a great help for prioritizing species that could preserve the ecosystem’s structural integrity.
American Psychological Association (APA)
Capocefalo, Daniele& Pereira, Juliana& Mazza, Tommaso& Jordán, Ferenc. 2018. Food Web Topology and Nested Keystone Species Complexes. Complexity،Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1133087
Modern Language Association (MLA)
Capocefalo, Daniele…[et al.]. Food Web Topology and Nested Keystone Species Complexes. Complexity No. 2018 (2018), pp.1-8.
https://search.emarefa.net/detail/BIM-1133087
American Medical Association (AMA)
Capocefalo, Daniele& Pereira, Juliana& Mazza, Tommaso& Jordán, Ferenc. Food Web Topology and Nested Keystone Species Complexes. Complexity. 2018. Vol. 2018, no. 2018, pp.1-8.
https://search.emarefa.net/detail/BIM-1133087
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1133087