<｜begin▁of▁sentence｜>### Instruction:
As an Environmental Scientist, you find yourself needing to examine a detailed representation of an ecosystem's interconnections, where species (nodes) can have various interactions (edges) that might form complex food webs including cycles, and not every species is connected to each other. To facilitate your analysis, suppose you have this ecosystem network captured in a comprehensive data structure with the requisite components of nodes and edges.

Your objective involves encapsulating this intricate network—the nodes being the species and the edges their interactions—within a JSON object, utilizing Python's json library. This JSON object format should accurately reflect the network's complexity, including information about each species and interaction.

Should this data structure be sourced from a "habitat_network.gml" file, please ensure to reference this specific file within your scenario. Moreover, if your ecosystem model contains pertinent data, such as population numbers or interaction strength, do incorporate this information seamlessly into your JSON serialization process while maintaining the integrity of the original network structure.
### Response:
import json

# Define a 'notatree' data structure
notatree = {
    'Description': ['This data structure represents a graph that is not a tree,',
                   'implying it has cycles or is not fully connected.'],
    'Field List': {
        'nodes': ['List of nodes in the graph.'],
        'edges': ['List of edges connecting the nodes in the graph.']
    },
    'Rubrics': {}
}

# Serialize the 'notatree' data structure to a JSON object
notatree_json = json.dumps(notatree, indent=2)
print(notatree_json)
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