Special Issue "Forest Fire Suppression: Consequences, Management Approaches, and New Paradigms"
Deadline for manuscript submissions: 30 September 2019
Dr. David E Calkin
800 East Beckwith Avenue, Missoula, Montana 59801-5801, USA
Website | E-Mail
Interests: wildland fire risk assessment; identification of values-at-risk to wildland fire; decision support system development; performance measurement of wildland fire suppression; modeling and forecasting of wildfire suppression costs; social and managerial tradeoffs among resources affected by fire management
The prospects for damaging forest fires are increasing in many areas around the globe, challenging society to develop innovative and more efficient solutions. In this Special Issue, we focus on one aspect of this complex socioecological problem: suppression response to unplanned forest fires. We conceive of suppression as a continuum, ranging from attempts at total fire exclusion to attempts at leveraging fire as a natural disturbance process. Keys to improving society’s relationship with fire include an improved understanding of the near-, mid-, and long-term consequences of current suppression approaches, an improved capacity to enhance the safety and effectiveness of suppression responses, and perhaps new ways of thinking about the role of fire suppression in the broader context of forest management. In particular, we are interested in papers that target new approaches and paradigms relative to status quo solutions. Relevant topics for papers in this Special Issue include, but are not limited to: decision support; uncertainty and risk; simulation and optimization; monitoring and performance measurement; effects of suppression on forest health and biodiversity; safety; and strategic and operational planning.
Dr. Matthew P. Thompson
Dr. David E Calkin
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Forests is an international peer-reviewed open access monthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1800 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- wildfire management
- decision support
- socioecological systems
- forest health
The below list represents only planned manuscripts. Some of these manuscripts have not been received by the Editorial Office yet. Papers submitted to MDPI journals are subject to peer-review.
Title: Modeling ground resource fire containment activities under multiple predicted weather scenarios
Authors: Erin J Belval, Yu Wei, Michael Bevers
Summary: Wildland firefighting requires managers to make decisions in complex decision environments that hold many uncertainties; these decisions need to be adapted dynamically over time as fire behavior evolves. Models developed to support suppression decisions should also consider the fire risks represented by changing weather conditions. In this paper we present a stochastic programming model for determining work assignments for ground based firefighting resources (i.e., crews and engines). The optimization model includes endogenous fire spread and behavior that dynamically interacts with suppression actions. This model explicitly enforces continuous fire containment lines to be built to prevent fire escape under all modeled fire scenarios. Considerations of the model also include suppression resource limitations, fire fighter safety buffers, and fireline quality. We build several test cases to demonstrate the logic and performance of the model.