A bi-objective mixed-integer linear programming model to optimize thinning schedules in wildfire-prone Pinus canariensis forests

Multi-objective programming is frequently used in forest management research to reconcile conflicting policy objectives. Given the frequent occurrence of fire in Pinus canariensis forests in the Canary Islands, forest managers have explored various silvicultural strategies, including thinning schedu...

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Veröffentlicht in:	The Science of the total environment Jg. 980; S. 179528
Hauptverfasser:	Navarro-Cerrillo, Rafael M., Acuna, Mauricio, Ariza-Salamanca, Antonio Jesús, Martínez, M. Ángeles Varo, Cedrés, Eva Padrón
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Netherlands Elsevier B.V 10.06.2025
Schlagworte:	Conservation of Natural Resources - methods costs and returns decision making energy environment fire fighting fire suppression forest management Forestry - methods Forests issues and policy Multi-objective linear programming Optimization Pareto frontier timber management Pine plantations Pinus - growth & development Pinus canariensis Programming, Linear risk roundwood Spain Suppression difficulty index Thinning scheduling Wildfires Spain Suppression difficulty index Thinning scheduling Pine plantations Pareto frontier timber management Multi-objective linear programming Optimization
ISSN:	0048-9697, 1879-1026, 1879-1026
Online-Zugang:	Volltext
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