Knowledge-Guided Machine Learning for Global Change Ecology Research
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Global change ecology demands predictive models that reconcile data-driven learning with mechanistic theory to address complex, interconnected ecosystem challenges. Traditional process-based approaches struggle with spatiotemporal parameterization, while purel... ...
