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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Bibliographic Details

Main Authors:	Fiandino, Santiago, Plevich, Jose, Tarico, Juan, Utello, Marco, Demaestri, Marcela, Gyenge, Javier
Format:	info:ar-repo/semantics/artículo
Language:	Inglés
Published:	Springer Science 2020
Subjects:	Ordenación Forestal Modelo Digital para Curvas de Nivel Pinus Elliottii Silvicultura Modelos de Crecimiento Forestal Argentina Forest Management Digital Elevation Models Silviculture Growth Models
Online Access:	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