Literature DB >> 22357938

On the centrality and uniqueness of species from the network perspective.

Shu-Mei Lai1, Wei-Chung Liu, Ferenc Jordán.   

Abstract

Identifying important species for maintaining ecosystem functions is a challenge in ecology. Since species are components of food webs, one way to conceptualize and quantify species importance is from a network perspective. The importance of a species can be quantified by measuring the centrality of its position in a food web, because a central node may have greater influence on others in the network. A species may also be important because it has a unique network position, such that its loss cannot be easily compensated. Therefore, for a food web to be robust, we hypothesize that central species must be functionally redundant in terms of their network position. In this paper, we test our hypothesis by analysing the Prince William Sound ecosystem. We found that species centrality and uniqueness are negatively correlated, and such an observation is also carried over to other food webs.

Mesh:

Year:  2012        PMID: 22357938      PMCID: PMC3391439          DOI: 10.1098/rsbl.2011.1167

Source DB:  PubMed          Journal:  Biol Lett        ISSN: 1744-9561            Impact factor:   3.703


  2 in total

1.  Defining and measuring trophic role similarity in food webs using regular equivalence.

Authors:  Joseph J Luczkovich; Stephen P Borgatti; Jeffrey C Johnson; Martin G Everett
Journal:  J Theor Biol       Date:  2003-02-07       Impact factor: 2.691

Review 2.  Ecosystem oceanography for global change in fisheries.

Authors:  Philippe Maurice Cury; Yunne-Jai Shin; Benjamin Planque; Joël Marcel Durant; Jean-Marc Fromentin; Stephanie Kramer-Schadt; Nils Christian Stenseth; Morgane Travers; Volker Grimm
Journal:  Trends Ecol Evol       Date:  2008-04-22       Impact factor: 17.712

  2 in total
  2 in total

1.  A network-based measure of functional diversity in food webs.

Authors:  Wen-Hsien Lin; Shu-Mei Lai; Andrew J Davis; Wei-Chung Liu; Ferenc Jordán
Journal:  Biol Lett       Date:  2022-06-29       Impact factor: 3.812

2.  Deciphering functional redundancy in the human microbiome.

Authors:  Liang Tian; Xu-Wen Wang; Ang-Kun Wu; Yuhang Fan; Jonathan Friedman; Amber Dahlin; Matthew K Waldor; George M Weinstock; Scott T Weiss; Yang-Yu Liu
Journal:  Nat Commun       Date:  2020-12-04       Impact factor: 14.919

  2 in total

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