<｜begin▁of▁sentence｜>### Instruction:
In the serene landscape of our environmental conservation project, we find ourselves mapping the intricate web of ecosystems within a designated natural reserve. As part of our initiative to maintain and enhance the biodiversity and ecological balance of this area, we are employing a method to analyze the interconnections between various habitats - represented as nodes ('A', 'B', 'C', 'D') - and the pathways ('A' to 'B', 'B' to 'C', 'C' to 'D', and 'A' to 'D') that link them. This approach allows us to understand how changes or interventions in one area may influence others, thus aiding in our conservation efforts.

Our challenge involves employing a structured and methodical process akin to tracing the flow of water from its source, through streams and rivers, to its final destination. This process, akin to a breadth-first search traversal in network analysis, will enable us to sequence habitats in a manner that each habitat (beyond the initiating point) is directly or indirectly influenced by those identified earlier in our exploration. This ensures that our conservation strategies are intelligently informed, taking into consideration the intricate web of life and its dependencies.

How can we employ a computational technique, specifically using a tool from NetworkX known as the 'strategy_connected_sequential_bfs' function, to systematically order our identified habitats? This method would allow us to map out a sequence where each habitat, following the initial one, has at least one neighboring habitat that was previously considered in our conservation planning strategy. This approach is crucial for developing an effective conservation plan that acknowledges and leverages the natural interdependencies within the ecosystem.
### Response:
import networkx as nx

# Create a graph
G = nx.Graph()
G.add_edges_from([('A', 'B'), ('B', 'C'), ('C', 'D'), ('A', 'D')])

# Generate a BFS traversal sequence of nodes
bfs_sequence = list(nx.strategy_connected_sequential_bfs(G))

print('BFS traversal sequence:', bfs_sequence)
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