We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Multi-Indicator Weighted Robustness Analysis of Planktonic Community Systems under Different Destructive Factors.
- Authors
Zhao, Danfeng; Zhang, Tao; Chen, Tianwen; He, Qi; Huang, Dongmei
- Abstract
Marine plankton communities play a vital role in global carbon and nutrient cycles. Ensuring the robustness of these intricate ecosystems is critical for sustainable environmental management. In this paper, we apply complex network analysis to assess plankton community resilience against disturbances. We construct ecological interaction networks and simulate disruptions using four attack strategies targeting vertices and edges. Our multi-indicator evaluation scheme provides a more nuanced measure of robustness compared to single metrics. Our experiments revealed varying vulnerabilities across networks. Targeted attacks caused abrupt collapse, while random failures led to gradual decline. Identifying critical species and linkages is key to guiding protection efforts. Overall, plankton networks proved fragile, especially against deliberate attacks on central hubs. In our simulations, betweenness-based attacks were the most destructive. The multi-indicator robustness coefficient achieved better performance than individual metrics, with under 3% variance. This network methodology reveals hidden topological vulnerabilities and complements traditional plankton research. The quantitative insights provided in this paper can support marine conservation and governance.
- Subjects
CARBON cycle; MARINE plankton; MARINE resources conservation; ENVIRONMENTAL management
- Publication
Applied Sciences (2076-3417), 2023, Vol 13, Issue 15, p8742
- ISSN
2076-3417
- Publication type
Article
- DOI
10.3390/app13158742