A calibration framework to improve mechanistic forecasts with hybrid dynamic models

Abstract Process‐based, dynamic models are essential for extrapolating beyond current trends and anticipating biodiversity responses to global change. However, their practical adoption for forecasting purposes remains limited due to difficulties in calibrating them against data and structural inaccu...

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Үндсэн зохиолчид:	Victor Boussange, Pau Vilimelis Aceituno, Frank Schäfer, Loïc Pellissier
Формат:	Artigo
Хэл сонгох:	Inglês
Хэвлэсэн:	Wiley 2025-12-01
Цуврал:	Methods in Ecology and Evolution
Нөхцлүүд:	Bayesian inference hybrid dynamic model inverse problem parameter estimation process‐based community model scientific machine learning
Онлайн хандалт:	https://doi.org/10.1111/2041-210X.70190
Шошгууд:	Шошго нэмэх Шошго байхгүй, Энэхүү баримтыг шошголох эхний хүн болох!