A Bayesian approach to projecting forest dynamics and related uncertainty: An application to continuous cover forests
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DOI: 10.1016/j.ecolmodel.2024.110669
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- Hertog, Iris Maria & Brogaard, Sara & Krause, Torsten, 2022. "Barriers to expanding continuous cover forestry in Sweden for delivering multiple ecosystem services," Ecosystem Services, Elsevier, vol. 53(C).
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- Salas-Eljatib, Christian, 2020. "Height growth–rate at a given height: A mathematical perspective for forest productivity," Ecological Modelling, Elsevier, vol. 431(C).
- Häbel, Henrike & Myllymäki, Mari & Pommerening, Arne, 2019. "New insights on the behaviour of alternative types of individual-based tree models for natural forests," Ecological Modelling, Elsevier, vol. 406(C), pages 23-32.
- Håvard Rue & Sara Martino & Nicolas Chopin, 2009. "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 71(2), pages 319-392, April.
- Redenbach, Claudia & Särkkä, Aila, 2013. "Parameter estimation for growth interaction processes using spatio-temporal information," Computational Statistics & Data Analysis, Elsevier, vol. 57(1), pages 672-683.
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Keywords
Bayesian statistics; Continuous cover forestry; Forest growth; Global credible interval; Individual-based model; Random effects;All these keywords.
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