Diagnosis of planktonic trophic network dynamics with sharp qualitative changes
Trophic interaction networks are notoriously difficult to understand and to diagnose (i.e., to identify contrasted network functioning regimes). Such ecological networks have many direct and indirect connections between species, and these connections are not static but often vary over time. These to...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Peer Community In
2024-06-01
|
| Series: | Peer Community Journal |
| Subjects: | |
| Online Access: | https://peercommunityjournal.org/articles/10.24072/pcjournal.417/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1825206383496134656 |
|---|---|
| author | Gaucherel, Cedric Fayolle, Stolian Savelli, Raphael Philippine, Olivier Pommereau, Franck Dupuy, Christine |
| author_facet | Gaucherel, Cedric Fayolle, Stolian Savelli, Raphael Philippine, Olivier Pommereau, Franck Dupuy, Christine |
| author_sort | Gaucherel, Cedric |
| collection | DOAJ |
| description | Trophic interaction networks are notoriously difficult to understand and to diagnose (i.e., to identify contrasted network functioning regimes). Such ecological networks have many direct and indirect connections between species, and these connections are not static but often vary over time. These topological changes, as opposed to a dynamic on a static (frozen) network, can be triggered by natural forcings (e.g., seasons) and/or by human influences (e.g., nutrient or pollution inputs). Aquatic trophic networks are especially dynamic and versatile, thus suggesting new approaches for identifying network structures and functioning in a comprehensive manner.In this study, a qualitative model was devised for this purpose. Applying discrete-event models from theoretical computer science, a mechanistic and qualitative model was developed that allowed computation of the exhaustive dynamics of a given trophic network and its environment. Once the model definition is assumed, it provides all possible trajectories of the network from a chosen initial state. In a rigorous and analytical approach, for the first time, we validated the model on one theoretical and two observed trajectories recorded at freshwater stations in the La Rochelle region (Western France). The model appears to be easy to build and intuitive, and it provides additional relevant trajectories to the expert community. We hope this formal approach will open a new avenue in identifying and predicting trophic (and non-trophic) ecological networks.
|
| format | Article |
| id | doaj-art-305e2de4c7bc484290832a8334a5eff9 |
| institution | Kabale University |
| issn | 2804-3871 |
| language | English |
| publishDate | 2024-06-01 |
| publisher | Peer Community In |
| record_format | Article |
| series | Peer Community Journal |
| spelling | doaj-art-305e2de4c7bc484290832a8334a5eff92025-02-07T10:17:18ZengPeer Community InPeer Community Journal2804-38712024-06-01410.24072/pcjournal.41710.24072/pcjournal.417Diagnosis of planktonic trophic network dynamics with sharp qualitative changes Gaucherel, Cedric0https://orcid.org/0000-0002-4521-8914Fayolle, Stolian1Savelli, Raphael2Philippine, Olivier3Pommereau, Franck4https://orcid.org/0000-0002-9959-3699Dupuy, Christine5https://orcid.org/0000-0002-5634-1336AMAP - INRAE, CIRAD, CNRS, IRD, Montpellier University, Montpellier, FranceAMAP - INRAE, CIRAD, CNRS, IRD, Montpellier University, Montpellier, FranceLIENSs, UMRi 7266 La Rochelle University – CNRS, La Rochelle, FranceUNIMA, Union des marais de Charente-Maritime, Périgny, FranceIBISC, Evry, FranceLIENSs, UMRi 7266 La Rochelle University – CNRS, La Rochelle, FranceTrophic interaction networks are notoriously difficult to understand and to diagnose (i.e., to identify contrasted network functioning regimes). Such ecological networks have many direct and indirect connections between species, and these connections are not static but often vary over time. These topological changes, as opposed to a dynamic on a static (frozen) network, can be triggered by natural forcings (e.g., seasons) and/or by human influences (e.g., nutrient or pollution inputs). Aquatic trophic networks are especially dynamic and versatile, thus suggesting new approaches for identifying network structures and functioning in a comprehensive manner.In this study, a qualitative model was devised for this purpose. Applying discrete-event models from theoretical computer science, a mechanistic and qualitative model was developed that allowed computation of the exhaustive dynamics of a given trophic network and its environment. Once the model definition is assumed, it provides all possible trajectories of the network from a chosen initial state. In a rigorous and analytical approach, for the first time, we validated the model on one theoretical and two observed trajectories recorded at freshwater stations in the La Rochelle region (Western France). The model appears to be easy to build and intuitive, and it provides additional relevant trajectories to the expert community. We hope this formal approach will open a new avenue in identifying and predicting trophic (and non-trophic) ecological networks. https://peercommunityjournal.org/articles/10.24072/pcjournal.417/Interaction network; Freshwater ecosystem; Qualitative model; Discrete-event model; Plankton |
| spellingShingle | Gaucherel, Cedric Fayolle, Stolian Savelli, Raphael Philippine, Olivier Pommereau, Franck Dupuy, Christine Diagnosis of planktonic trophic network dynamics with sharp qualitative changes Peer Community Journal Interaction network; Freshwater ecosystem; Qualitative model; Discrete-event model; Plankton |
| title | Diagnosis of planktonic trophic network dynamics with sharp qualitative changes
|
| title_full | Diagnosis of planktonic trophic network dynamics with sharp qualitative changes
|
| title_fullStr | Diagnosis of planktonic trophic network dynamics with sharp qualitative changes
|
| title_full_unstemmed | Diagnosis of planktonic trophic network dynamics with sharp qualitative changes
|
| title_short | Diagnosis of planktonic trophic network dynamics with sharp qualitative changes
|
| title_sort | diagnosis of planktonic trophic network dynamics with sharp qualitative changes |
| topic | Interaction network; Freshwater ecosystem; Qualitative model; Discrete-event model; Plankton |
| url | https://peercommunityjournal.org/articles/10.24072/pcjournal.417/ |
| work_keys_str_mv | AT gaucherelcedric diagnosisofplanktonictrophicnetworkdynamicswithsharpqualitativechanges AT fayollestolian diagnosisofplanktonictrophicnetworkdynamicswithsharpqualitativechanges AT savelliraphael diagnosisofplanktonictrophicnetworkdynamicswithsharpqualitativechanges AT philippineolivier diagnosisofplanktonictrophicnetworkdynamicswithsharpqualitativechanges AT pommereaufranck diagnosisofplanktonictrophicnetworkdynamicswithsharpqualitativechanges AT dupuychristine diagnosisofplanktonictrophicnetworkdynamicswithsharpqualitativechanges |