Food Web Topology and Nested Keystone Species Complexes
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, th...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Wiley
2018-01-01
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| Series: | Complexity |
| Online Access: | http://dx.doi.org/10.1155/2018/1979214 |
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| _version_ | 1832564457153232896 |
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| author | Daniele Capocefalo Juliana Pereira Tommaso Mazza Ferenc Jordán |
| author_facet | Daniele Capocefalo Juliana Pereira Tommaso Mazza Ferenc Jordán |
| author_sort | Daniele Capocefalo |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-2cd4e6f4ee934e3daa84e79378e6edf9 |
| institution | Kabale University |
| issn | 1076-2787 1099-0526 |
| language | English |
| publishDate | 2018-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Complexity |
| spelling | doaj-art-2cd4e6f4ee934e3daa84e79378e6edf92025-02-03T01:10:56ZengWileyComplexity1076-27871099-05262018-01-01201810.1155/2018/19792141979214Food Web Topology and Nested Keystone Species ComplexesDaniele Capocefalo0Juliana Pereira1Tommaso Mazza2Ferenc Jordán3Bioinformatics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), ItalyDanube Research Institute, MTA Centre for Ecological Research, Budapest, HungaryBioinformatics Unit, IRCCS Casa Sollievo della Sofferenza, San Giovanni Rotondo (FG), ItalyDanube Research Institute, MTA Centre for Ecological Research, Budapest, HungaryImportant 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.http://dx.doi.org/10.1155/2018/1979214 |
| spellingShingle | Daniele Capocefalo Juliana Pereira Tommaso Mazza Ferenc Jordán Food Web Topology and Nested Keystone Species Complexes Complexity |
| title | Food Web Topology and Nested Keystone Species Complexes |
| title_full | Food Web Topology and Nested Keystone Species Complexes |
| title_fullStr | Food Web Topology and Nested Keystone Species Complexes |
| title_full_unstemmed | Food Web Topology and Nested Keystone Species Complexes |
| title_short | Food Web Topology and Nested Keystone Species Complexes |
| title_sort | food web topology and nested keystone species complexes |
| url | http://dx.doi.org/10.1155/2018/1979214 |
| work_keys_str_mv | AT danielecapocefalo foodwebtopologyandnestedkeystonespeciescomplexes AT julianapereira foodwebtopologyandnestedkeystonespeciescomplexes AT tommasomazza foodwebtopologyandnestedkeystonespeciescomplexes AT ferencjordan foodwebtopologyandnestedkeystonespeciescomplexes |