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Some DAMM parameters may change in time. For example, microbial community (quantity and composition), making parameters such as Ea or alpha a function of soil temperature and soil moisture ( ? ), e.g., winter?
To track this, we could possibly implement such parameter (e.g., Ea) to be a Neural Network trained on those drivers.
@BernhardAhrens just throwing the idea in an issue for it to be saved, but we may never do this, it's up to you =) (or maybe I will do it myself eventually), please add some comments if you have ideas.
The text was updated successfully, but these errors were encountered:
We have done something like this for Rb (alpha) in a book chapter but that is not published yet. To my mind, it does not make sense mechanistically to have Ea varying in time much if it does not correspond to the supply of different substrates in time which should probably be rather resolved with mechanistic modeling.
Some DAMM parameters may change in time. For example, microbial community (quantity and composition), making parameters such as Ea or alpha a function of soil temperature and soil moisture ( ? ), e.g., winter?
To track this, we could possibly implement such parameter (e.g., Ea) to be a Neural Network trained on those drivers.
@BernhardAhrens just throwing the idea in an issue for it to be saved, but we may never do this, it's up to you =) (or maybe I will do it myself eventually), please add some comments if you have ideas.
The text was updated successfully, but these errors were encountered: