Modeling forest site productivity using climate data and topographic imagery in Pinus elliottii plantations of central Argentina

Key message: To be useful for silvicultural and forest management practices, the models of Site Index (SI) should be based on accessible predictor variables. In this study, we used spatially explicit data obtained from digital elevation models and climate data to develop SI prediction models with hi...

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Autores principales:	Fiandino, Santiago, Plevich, Jose, Tarico, Juan, Utello, Marco, Demaestri, Marcela, Gyenge, Javier
Formato:	info:ar-repo/semantics/artículo
Lenguaje:	Inglés
Publicado:	Springer Science 2020
Materias:	Ordenación Forestal Modelo Digital para Curvas de Nivel Pinus Elliottii Silvicultura Modelos de Crecimiento Forestal Argentina Forest Management Digital Elevation Models Silviculture Growth Models
Acceso en línea:	http://hdl.handle.net/20.500.12123/8432 https://link.springer.com/article/10.1007/s13595-020-01006-3 https://doi.org/10.1007/s13595-020-01006-3