<｜begin▁of▁sentence｜>### Instruction:
Imagine you're surveying two separate natural habitats joined by a narrow land bridge within the park, both habitats hosting a population of ten unique species each. For conservation purposes, you're tasked with identifying any critical connections – much like narrow trails within the park – where, if obstructed, would prevent species from moving between these two habitats. Specifically, you've modeled this scenario using a specialized map akin to something you might find in network conservation planning, with the two habitats represented as two clusters of interconnected trails (each of the same size) and a single connecting pathway between them. As a park ranger, your job now includes pinpointing all such vulnerable pathways where blockage due to, say, a fallen tree or landslide, would increase the isolation of these habitats. In conservation speak, we're referring to these as "bridges." Could you identify and enlist all such critical connections within your modeled map that, if removed, could lead to the two habitats being completely cut off from each other?
### Response:
import networkx as nx

G = nx.barbell_graph(10, 0)
bridges = list(nx.bridges(G))

print('Bridges in the graph:', bridges)
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