Use of Bayesian Modeling to Determine the Effects of Meteorological Conditions, Prescribed Burn Season, and Tree Characteristics on Litterfall of <i>Pinus nigra</i> and <i>Pinus pinaster</i> Stands

Use of Bayesian Modeling to Determine the Effects of Meteorological Conditions, Prescribed Burn Season, and Tree Characteristics on Litterfall of <i>Pinus nigra</i> and <i>Pinus pinaster</i> Stands

<i>Research Highlights</i>: Litterfall biomass after prescribed burning (PB) is significantly influenced by meteorological variables, stand characteristics, and the fire prescription. Some of the fire-adaptive traits of the species under study (<i>Pinus nigra</i> and <i>...

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Bibliographic Details
Main Authors: Juncal Espinosa, Óscar Rodríguez De Rivera, Javier Madrigal, Mercedes Guijarro, Carmen Hernando
Format: Article
Language:English
Published: MDPI AG 2020-09-01
Series:Forests
Subjects:
<i>Pinus nigra</i>
<i>Pinus pinaster</i>
the Cuenca Mountains
integrated nested Laplace approximation (INLA)
vulnerability
Online Access:https://www.mdpi.com/1999-4907/11/9/1006

Internet

https://www.mdpi.com/1999-4907/11/9/1006

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