Interactive Pinus pinaster resin yield simulator

Interactive resin yield simulator for maritime pine in Spain using machine learning and forest data

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Detail description

A decision support system developed by FOREST4EU with CeseFor and ACREMA estimates resin yield from maritime pine (Pinus pinaster) in Spain using machine learning models and web GIS. It enables users to input plot-specific data—tree counts, dasonometric variables, harvesting methods, and paste types—to predict resin production. Production maps based on IFN IV Pinus pinaster data and climatic variables support regional planning. The tool calculates maximum resin potential under legal constraints, using diameter thresholds of 20–25 cm depending on region. Designed for forest managers and researchers, it supports sustainable resin production in Spain’s national bioeconomy.

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Contribution detail info

Project

FOREST4EU

European innovation partnership network promoting operational groups dedicated to forestry and agroforestry

Location
Spain
Authors
Aida Rodriguez
Purpose
Dissemination

File type
document
Created on
Aug 04, 2024
Origin language
English
Official project website
FOREST4EU
License
CC BY