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pro vyhledávání: '"Gemma Gerber"'
Autor:
Gemma Gerber, Ursula M. Scharler
Publikováno v:
Ecological Informatics, Vol 84, Iss , Pp 102865- (2024)
Capturing ecological data variability in food web models is an important step for improving model representation of empirical systems. One approach is to use linear inverse modelling and Markov Chain Monte Carlo (LIM-MCMC) techniques to set up an inv
Externí odkaz:
https://doaj.org/article/1064ad8809284f2c89f4ffc410d884dc