2023
DOI: 10.3390/e25111526
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On the History of Ecosystem Dynamical Modeling: The Rise and Promises of Qualitative Models

Maximilien Cosme,
Colin Thomas,
Cédric Gaucherel

Abstract: Ecosystem modeling is a complex and multidisciplinary modeling problem which emerged in the 1950s. It takes advantage of the computational turn in sciences to better understand anthropogenic impacts and improve ecosystem management. For that purpose, ecosystem simulation models based on difference or differential equations were built. These models were relevant for studying dynamical phenomena and still are. However, they face important limitations in data-poor situations. As a response, several formal and non… Show more

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Cited by 3 publications
(1 citation statement)
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“…These methods used data such as protein sequences and substrate structures to train models to predict parameters like Michaelis constants (Km), enzyme turnover numbers (kcat), and catalytic efficiency. Furthermore, a deep learning framework was developed to reconstruct kinetic models for dynamics study ( Choudhury et al , 2022 ).…”
Section: Consequential Challenges In the Fieldmentioning
confidence: 99%
“…These methods used data such as protein sequences and substrate structures to train models to predict parameters like Michaelis constants (Km), enzyme turnover numbers (kcat), and catalytic efficiency. Furthermore, a deep learning framework was developed to reconstruct kinetic models for dynamics study ( Choudhury et al , 2022 ).…”
Section: Consequential Challenges In the Fieldmentioning
confidence: 99%