TY  -  
T1  - Assessing the dynamics of natural populations by fitting individual-based models with approximate Bayesian computation 
SN  -  /  
UR  - http://hdl.handle.net/10138/326431 
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A1  - Siren, Jukka; Lens, Luc; Cousseau, Laurence; Ovaskainen, Otso 
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PB  -  
Y1  - 2018 
LA  - eng 
AB  - 1. Individual-based models (IBMs) allow realistic and flexible modelling of ecological systems, but their parameterization with empirical data is statistically and computationally challenging. Approximate Bayesian computation (ABC) has been proposed as an efficient approach for inference with IBMs, but its applicability to data on natural populations has not been yet fully explored. 2. We construct an IBM for the metapopulation dynamics of a species inhabiting a fragmented patch network, and dev... 
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KW  - approximate Bayesian computation; individual-based models; metapopulation dynamics; multiple data sources; population dynamics; CHAIN MONTE-CARLO; FRAGMENTED LANDSCAPE; ECOLOGY; FOREST; CALIBRATION; STATISTICS; PARAMETERS; ABUNDANCE; INFERENCE; PROTOCOL; 1181 Ecology, evolutionary biology 
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