Integrating wildfire resistance and environmental concerns into a sustainable forest ecosystem management approach

This research aims at presenting landscape management planning methods to help stakeholders select forest ecosystem management plans that may address concerns with wildfire risk and with the environmental impacts of clearcuts. Specifically, we develop mixed integer programming models for spatial opt...

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Veröffentlicht in:Frontiers in Forests and Global Change Jg. 6; S. 1177698
Hauptverfasser: Ferreira, Liliana, Nascimento Baptista, Alexandra, Constantino, Miguel, Marques, Susete, Martins, Isabel, Borges, Jose G.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Lausanne Frontiers Media SA 03.07.2023
Frontiers Media S.A
Schlagworte:
adjacency constraints
Case studies
Clearcutting
Climate change
Ecosystem management
Ecosystems
Environmental impact
Environmental risk
Forest ecosystems
Forest management
forestry management
Integer programming
Management planning
Mixed integer
mixed integer programming models
Soil erosion
spatial optimization
Sustainability
Sustainable forestry
Terrestrial ecosystems
wildfire risk
Wildfires
Portugal
ISSN:2624-893X, 2624-893X
Online-Zugang:Volltext
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Zusammenfassung:This research aims at presenting landscape management planning methods to help stakeholders select forest ecosystem management plans that may address concerns with wildfire risk and with the environmental impacts of clearcuts. Specifically, we develop mixed integer programming models for spatial optimization that incorporate a wildfire resistance index as well as constraints on the size of clearcut openings. The former is used to enforce a minimum level of resistance to wildfire while the latter limits the size of openings, in each period of the planning horizon. Timber volume even flow is another concern that is also taken into account. This research is applied to the Zonas de Intervenção Florestal (ZIF) de Paiva and de Entre-Douro e Sousa (ZIF_VS) which are located in northwestern Portugal.
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ISSN:2624-893X
2624-893X
DOI:10.3389/ffgc.2023.1177698