Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2601.20746 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866915759766110208 |
|---|---|
| author | Souza, Eduardo M. K. Leite, Rafael N. C. C. Souza, Andre M. C. |
| author_facet | Souza, Eduardo M. K. Leite, Rafael N. C. C. Souza, Andre M. C. |
| contents | The Chesapeake Bay, one of the largest estuaries in the United States, is an ecological system of great complexity and relevance. The food web is composed of thirty-six trophic components, all of which are functionally connected. In this work, the interactions among these components are numerically analyzed using complex network methods. An energy flow cutoff paradigm is applied to a weighted ecological network. The results reveal patterns characteristic of connectivity dynamics, evidencing both the initial robustness of the system and its tendency to fragmentation at higher values of the cutoff. From an applied perspective, the findings underscore the importance of conservation strategies that protect keystone species, such as carnivorous fish, which act as crucial connectors between the two main subnetworks. Although they are positioned at the top of the food web and are often assumed to be less critical to network stability, these species play a pivotal role in regulating populations of lower-level organisms, thereby maintaining the overall integrity of the ecosystem. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2601_20746 |
| institution | arXiv |
| publishDate | 2026 |
| record_format | arxiv |
| spellingShingle | Chesapeake Bay Food Web: Robustness Analysis via Energy Cutoff in Complex Networks Souza, Eduardo M. K. Leite, Rafael N. C. C. Souza, Andre M. C. Biological Physics The Chesapeake Bay, one of the largest estuaries in the United States, is an ecological system of great complexity and relevance. The food web is composed of thirty-six trophic components, all of which are functionally connected. In this work, the interactions among these components are numerically analyzed using complex network methods. An energy flow cutoff paradigm is applied to a weighted ecological network. The results reveal patterns characteristic of connectivity dynamics, evidencing both the initial robustness of the system and its tendency to fragmentation at higher values of the cutoff. From an applied perspective, the findings underscore the importance of conservation strategies that protect keystone species, such as carnivorous fish, which act as crucial connectors between the two main subnetworks. Although they are positioned at the top of the food web and are often assumed to be less critical to network stability, these species play a pivotal role in regulating populations of lower-level organisms, thereby maintaining the overall integrity of the ecosystem. |
| title | Chesapeake Bay Food Web: Robustness Analysis via Energy Cutoff in Complex Networks |
| topic | Biological Physics |
| url | https://arxiv.org/abs/2601.20746 |