Prototyping a Geospatial Atlas for Wildfire Planning and Management
Prototyping a Geospatial Atlas for Wildfire Planning and Management
复制标题
为野火规划和管理制作地理空间图集原型
DOI:
10.3390/f11090909
复制
发表时间:
2020
期刊:
影响因子:
2.9
通讯作者:
Joe H. Scott
中科院分区:
文献类型:
--
作者:
Matthew P. Thompson;Benjamin M. Gannon;Michael D. Caggiano;Christopher D. O’Connor;A. Brough;Julie W. Gilbertson;Joe H. Scott
Wildland fire managers are increasingly embracing risk management principles by being more anticipatory, proactive, and “engaging the fire before it starts”. This entails investing in pre-season, cross-boundary, strategic fire response planning with partners and stakeholders to build a shared understanding of wildfire risks and management opportunities. A key innovation in planning is the development of potential operational delineations (PODs), i.e., spatial management units whose boundaries are relevant to fire containment operations (e.g., roads, ridgetops, and fuel transitions), and within which potential fire consequences, suppression opportunities/challenges, and strategic response objectives can be analyzed to inform fire management decision making. As of the summer of 2020, PODs have been developed on more than forty landscapes encompassing National Forest System lands across the western USA, providing utility for planning, communication, mitigation prioritization, and incident response strategy development. Here, we review development of a decision support tool—a POD Atlas—intended to facilitate cross-boundary, collaborative strategic wildfire planning and management by providing high-resolution information on landscape conditions, values at risk, and fire management resource needs for individual PODs. With the atlas, users can rapidly access and assimilate multiple forms of pre-loaded data and analytics in a customizable manner. We prototyped and operationalized this tool in concert with, and for use by, fire managers on several National Forests in the Southern Rocky Mountains of the USA. We present examples, discuss real-world use cases, and highlight opportunities for continued decision support improvement.
DOI:
10.1073/pnas.1802316115
发表时间:
2018-09-04
影响因子:
11.1
作者:
Holden, Zachary A.;Swanson, Alan;Affleck, David
通讯作者:
Affleck, David