<｜begin▁of▁sentence｜>### Instruction:
As a Geographer, let's say you are studying the migration patterns of different bird species in a specific region. You have collected data on bird sightings over the course of a year, noting their locations and behaviors. Using this data, you want to analyze community structures within the bird populations to better understand their interactions and habitats.

Now, you are interested in applying the Divide and Conquer Strategy (dcs) function in the cdlib library to identify different bird communities based on their behaviors and movement patterns. After running the community detection algorithm, you aim to generate a JSON representation of the discovered communities to visualize and analyze the clustering of bird species within the region.

In this scenario, the dataset on bird sightings acts as the equivalent of the "Books about US politics Graph" mentioned in your original question. By utilizing the dcs function in cdlib, you can uncover valuable insights into the community structures of bird populations in the region, drawing parallels to the network analysis of political books.
### Response:
import networkx as nx
from cdlib import algorithms

# Read the graph from GML file
G = nx.read_gml('polbooks.gml')

# Apply Divide and Conquer Strategy for community detection
coms = algorithms.dcs(G)

# Convert the NodeClustering object to JSON
coms_json = coms.to_json()

# Print the JSON representation of the discovered communities
print(coms_json)
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