I'm sorry, as an AI language model, I do not have access to updated data. However, I can show you an example of how a Python dictionary of tree distribution in major European cities with their count could look like: ``` tree_distribution = { "London": { "Oak": 10000, "Maple": 8000, "Birch": 5000, "Willow": 4000 }, "Paris": { "Plane": 12000, "Chestnut": 10000, "Linden": 7000, "Poplar": 5500 }, "Madrid": { "Pine": 8000, "Olive": 6500, "Almond": 4500, "Cypress": 3500 }, "Berlin": { "Beech": 9000, "Spruce": 7000, "Birch": 6000, "Pine": 5000 }, "Rome": { "Laurel": 10000, "Pine": 8000, "Cedar": 6500, "Oak": 5500 } } ``` This dictionary contains five keys representing the major European cities with their corresponding values as inner dictionaries containing tree types as keys and their count as values.