<｜begin▁of▁sentence｜>### Instruction:
As a marine biologist, imagine you are conducting a research expedition to study the interconnectedness of marine organisms in a complex ecosystem, such as a coral reef. In this scenario, you might need to identify critical pathways and connections within the ecosystem that serve as bridges, allowing for the flow of nutrients and energy. This research is crucial for understanding the resilience and stability of the ecosystem, as well as for developing conservation and sustainability strategies.

Now, to accomplish this task, you may wish to utilize a tool like igraph, a Python library that provides functions for analyzing complex networks. Within igraph, you can use the `bridges` function to identify all the bridges within the network, which in this context would represent the crucial connections between different components of the marine ecosystem. By identifying these bridges, you can gain valuable insights into the vulnerability and robustness of the ecosystem, helping to guide conservation efforts and better understand the potential impacts of environmental stressors, such as pollution or climate change.
### Response:
from igraph import Graph

# Create a graph with some edges
g = Graph(edges=[(0, 1), (1, 2), (2, 3), (3, 4), (4, 0), (1, 3)])

# Find the bridges in the graph
bridges = g.bridges()

print(bridges)
<|EOT|>
