most citedProcess-guidance improves predictive performance of neural networks for carbon turnover in ecosystems

2 citations · 3 across the 3 of their papers we have counts for

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stat.AP2024

The ecological forecast limit revisited: Potential, actual and relative system predictability

Marieke Wesselkamp, Jakob Albrecht, Ewan Pinnington +3

Ecological forecasts are model-based statements about currently unknown ecosystem states in time or space. For a model forecast to be useful to inform decision makers, model valida…

stat.AP2022★ 2 cited

Process-guidance improves predictive performance of neural networks for carbon turnover in ecosystems

Marieke Wesselkamp, Niklas Moser, Maria Kalweit +2

Despite deep-learning being state-of-the-art for data-driven model predictions, it has not yet found frequent application in ecology. Given the low sample size typical in many envi…