M. Bagnara

发表

Modelling biogeochemical cycles in forest ecosystems: a Bayesian approach

M. Bagnara, 2015 .

Interactive comment on “ A user-friendly forest model with a multiplicative mathematical structure : a Bayesian approach to calibration ” by M . Bagnara

D. Gianelle, F. Magnani, D. Cameron, 2014 .

Plant species richness increases with light availability, but not variability, in temperate forests understorey

F. Hartig, C. Dormann, S. Boch, 2020, BMC Ecology.

Simulating alternative forest management in a changing climate on a Pinus nigra subsp. laricio plantation in Southern Italy

G. Matteucci, S. Noce, Alessio Collalti, 2022, bioRxiv.

Bayesian calibration of a multiplicative forest model

D. Gianelle, F. Magnani, D. Cameron, 2014 .

An R package facilitating sensitivity analysis, calibration and forward simulations with the LPJ-GUESS dynamic vegetation model

Carsten F. Dormann, Christian Werner, Florian Hartig, 2019, Environ. Model. Softw..

Bayesian optimization of a light use efficiency model for the estimation of daily gross primary productivity in a range of Italian forest ecosystems

Damiano Gianelle, Federico Magnani, Alessandro Cescatti, 2015 .

Bayesian calibration of simple forest models with multiplicative mathematical structure: A case study with two Light Use Efficiency models in an alpine forest

Damiano Gianelle, Federico Magnani, Maurizio Bagnara, 2018 .

Simulating diverse forest management options in a changing climate on a Pinus nigra subsp. laricio plantation in Southern Italy.

G. Matteucci, S. Noce, Alessio Collalti, 2022, Science of the Total Environment.