A single changing hypernetwork to represent (social-)ecological dynamics
To understand and manage (social-)ecological systems, we need an intuitive and rigorous way to represent them. Recent ecological studies propose to represent interaction networks into modular graphs, multiplexes and higher-order interactions. Along these lines, we argue here that non-dyadic (non-pai...
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| Format: | Article |
| Language: | English |
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Peer Community In
2024-10-01
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| Series: | Peer Community Journal |
| Online Access: | https://peercommunityjournal.org/articles/10.24072/pcjournal.482/ |
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| author | Gaucherel, Cédric Cosme, Maximilian Noûs, Camille Pommereau, Franck |
| author_facet | Gaucherel, Cédric Cosme, Maximilian Noûs, Camille Pommereau, Franck |
| author_sort | Gaucherel, Cédric |
| collection | DOAJ |
| description | To understand and manage (social-)ecological systems, we need an intuitive and rigorous way to represent them. Recent ecological studies propose to represent interaction networks into modular graphs, multiplexes and higher-order interactions. Along these lines, we argue here that non-dyadic (non-pairwise) interactions are common in ecology and environmental sciences, necessitating fresh concepts and tools for handling them. In addition, such interaction networks often change sharply, due to appearing and disappearing species and components. We illustrate in a simple example that any ecosystem can be represented by a single hypergraph, here called the ecosystem hypernetwork. Moreover, we highlight that any ecosystem hypernetwork exhibits a changing topology summarizing its long term dynamics (e.g., species extinction/invasion, pollutant or human arrival/migration). Qualitative and discrete-event models developed in computer science appear suitable for modeling hypergraph (topological) dynamics. Hypernetworks thus also provide a conceptual foundation for theoretical as well as more applied studies in ecology (at large), as they form the qualitative backbone of ever-changing ecosystems. |
| format | Article |
| id | doaj-art-3819ffb403454928819a370b6ae09a06 |
| institution | Kabale University |
| issn | 2804-3871 |
| language | English |
| publishDate | 2024-10-01 |
| publisher | Peer Community In |
| record_format | Article |
| series | Peer Community Journal |
| spelling | doaj-art-3819ffb403454928819a370b6ae09a062025-02-07T10:17:17ZengPeer Community InPeer Community Journal2804-38712024-10-01410.24072/pcjournal.48210.24072/pcjournal.482A single changing hypernetwork to represent (social-)ecological dynamics Gaucherel, Cédric0https://orcid.org/0000-0002-4521-8914Cosme, Maximilian1Noûs, Camille2Pommereau, Franck3UMR AMAP – INRAE, University of Montpellier, CNRS, CIRAD, IRD, Montpellier, FranceUMR AMAP – INRAE, University of Montpellier, CNRS, CIRAD, IRD, Montpellier, FranceCogitamus Laboratory, FranceIBISC University of Evry-Val d’Essonne, Unviersity of Paris-Saclay, Evry, FranceTo understand and manage (social-)ecological systems, we need an intuitive and rigorous way to represent them. Recent ecological studies propose to represent interaction networks into modular graphs, multiplexes and higher-order interactions. Along these lines, we argue here that non-dyadic (non-pairwise) interactions are common in ecology and environmental sciences, necessitating fresh concepts and tools for handling them. In addition, such interaction networks often change sharply, due to appearing and disappearing species and components. We illustrate in a simple example that any ecosystem can be represented by a single hypergraph, here called the ecosystem hypernetwork. Moreover, we highlight that any ecosystem hypernetwork exhibits a changing topology summarizing its long term dynamics (e.g., species extinction/invasion, pollutant or human arrival/migration). Qualitative and discrete-event models developed in computer science appear suitable for modeling hypergraph (topological) dynamics. Hypernetworks thus also provide a conceptual foundation for theoretical as well as more applied studies in ecology (at large), as they form the qualitative backbone of ever-changing ecosystems.https://peercommunityjournal.org/articles/10.24072/pcjournal.482/ |
| spellingShingle | Gaucherel, Cédric Cosme, Maximilian Noûs, Camille Pommereau, Franck A single changing hypernetwork to represent (social-)ecological dynamics Peer Community Journal |
| title | A single changing hypernetwork to represent (social-)ecological dynamics
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| title_full | A single changing hypernetwork to represent (social-)ecological dynamics
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| title_fullStr | A single changing hypernetwork to represent (social-)ecological dynamics
|
| title_full_unstemmed | A single changing hypernetwork to represent (social-)ecological dynamics
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| title_short | A single changing hypernetwork to represent (social-)ecological dynamics
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| title_sort | single changing hypernetwork to represent social ecological dynamics |
| url | https://peercommunityjournal.org/articles/10.24072/pcjournal.482/ |
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