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Chris helped us perform what's called an attribution analysis: We used @inaturalist.bsky.social records to train a model of Joshua tree flowering based on seasonal weather, then used the model to project Joshua tree flowering from weather simulated under a scenario without climate change.

Working from real weather data, the model correctly predicts flowering in the normal flowering season, Q1 and Q2 for most years (purple areas in the tiny range-maps in this figure); it also correctly predicts documented out-of-season blooms in Q4 of 2018 and 2025!

Chris provided weather data simulated without human-caused climate change, and when we fed that counterfactual weather into the model... it recovered out-of-season blooms in the fourth quarters of 2018 and 2025. Here's just Q4 for each of those years, under factual and counterfactual conditions:

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This actually makes sense. The model found Joshua tree flowering is mostly driven by precipitation—the out-of-season flowering events were in years with unusually wet fourth quarters—but in Joshua tree's range climate change has had a much bigger impact on temperature than on average precipitation.