Shifting levels of ecological network's analysis reveals different system properties. (13th April 2020)
- Record Type:
- Journal Article
- Title:
- Shifting levels of ecological network's analysis reveals different system properties. (13th April 2020)
- Main Title:
- Shifting levels of ecological network's analysis reveals different system properties
- Authors:
- Niquil, Nathalie
Haraldsson, Matilda
Sime-Ngando, Télesphore
Huneman, Philippe
Borrett, Stuart R. - Abstract:
- Abstract : Network analyses applied to models of complex systems generally contain at least three levels of analyses. Whole-network metrics summarize general organizational features (properties or relationships) of the entire network, while node-level metrics summarize similar organization features but consider individual nodes. The network- and node-level metrics build upon the primary pairwise relationships in the model. As with many analyses, sometimes there are interesting differences at one level that disappear in the summary at another level of analysis. We illustrate this phenomenon with ecosystem network models, where nodes are trophic compartments and pairwise relationships are flows of organic carbon, such as when a predator eats a prey. For this demonstration, we analysed a time-series of 16 models of a lake planktonic food web that describes carbon exchanges within an autumn cyanobacteria bloom and compared the ecological conclusions drawn from the three levels of analysis based on inter-time-step comparisons. A general pattern in our analyses was that the closer the levels are in hierarchy (node versus network, or flow versus node level), the more they tend to align in their conclusions. Our analyses suggest that selecting the appropriate level of analysis, and above all regularly using multiple levels, may be a critical analytical decision. This article is part of the theme issue 'Unifying the essential concepts of biological networks: biological insights andAbstract : Network analyses applied to models of complex systems generally contain at least three levels of analyses. Whole-network metrics summarize general organizational features (properties or relationships) of the entire network, while node-level metrics summarize similar organization features but consider individual nodes. The network- and node-level metrics build upon the primary pairwise relationships in the model. As with many analyses, sometimes there are interesting differences at one level that disappear in the summary at another level of analysis. We illustrate this phenomenon with ecosystem network models, where nodes are trophic compartments and pairwise relationships are flows of organic carbon, such as when a predator eats a prey. For this demonstration, we analysed a time-series of 16 models of a lake planktonic food web that describes carbon exchanges within an autumn cyanobacteria bloom and compared the ecological conclusions drawn from the three levels of analysis based on inter-time-step comparisons. A general pattern in our analyses was that the closer the levels are in hierarchy (node versus network, or flow versus node level), the more they tend to align in their conclusions. Our analyses suggest that selecting the appropriate level of analysis, and above all regularly using multiple levels, may be a critical analytical decision. This article is part of the theme issue 'Unifying the essential concepts of biological networks: biological insights and philosophical foundations'. … (more)
- Is Part Of:
- Philosophical transactions. Volume 375:Number 1796(2020)
- Journal:
- Philosophical transactions
- Issue:
- Volume 375:Number 1796(2020)
- Issue Display:
- Volume 375, Issue 1796 (2020)
- Year:
- 2020
- Volume:
- 375
- Issue:
- 1796
- Issue Sort Value:
- 2020-0375-1796-0000
- Page Start:
- Page End:
- Publication Date:
- 2020-04-13
- Subjects:
- networks -- food web -- hierarchy -- levels -- interdisciplinary
Biology -- Periodicals
Science -- Periodicals
570 - Journal URLs:
- https://royalsocietypublishing.org/loi/rstb ↗
- DOI:
- 10.1098/rstb.2019.0326 ↗
- Languages:
- English
- ISSNs:
- 0962-8436
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library STI - ELD Digital store
- Ingest File:
- 16353.xml