{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,19]],"date-time":"2026-01-19T11:38:15Z","timestamp":1768822695934,"version":"3.49.0"},"reference-count":52,"publisher":"Canadian Science Publishing","issue":"5","license":[{"start":{"date-parts":[[2018,5,1]],"date-time":"2018-05-01T00:00:00Z","timestamp":1525132800000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.nrcresearchpress.com\/page\/about\/CorporateTextAndDataMining"}],"content-domain":{"domain":["cdnsciencepub.com"],"crossmark-restriction":false},"short-container-title":["Can. J. For. Res."],"published-print":{"date-parts":[[2018,5]]},"abstract":"<jats:p> This study introduces a large fire containment strategy that builds upon recent advances in spatial fire planning, notably the concept of potential wildland fire operation delineations (PODs). Multiple PODs can be clustered together to form a \u201cbox\u201d that is referred as the \u201cresponse POD\u201d (or rPOD). Fire lines would be built along the boundary of an rPOD to contain a large fire. Assets such as communities and infrastructure within an rPOD could be protected through \u201cpoint zone protection.\u201d We develop a mixed integer program model to optimally aggregate PODs into an rPOD with an objective of coordinating containment and point protection to maximize net value change under different fire weather scenarios and resource availability constraints. This optimization framework leverages emerging fire risk assessment and response planning methods by considering factors that drive selection of the optimal rPOD including fire-related benefits and losses, the fire line construction effort required to contain fire, and the point protection requirement within the rPOD to reduce asset losses. The model could be used to support prefire assessment and planning, training, and incident response decisions. We use a portion of the Lolo National Forest in western Montana, U.S.A., as a study site for demonstration. <\/jats:p>","DOI":"10.1139\/cjfr-2017-0271","type":"journal-article","created":{"date-parts":[[2018,1,26]],"date-time":"2018-01-26T22:33:12Z","timestamp":1517005992000},"page":"480-493","update-policy":"https:\/\/doi.org\/10.1139\/csp-crossmark-policy","source":"Crossref","is-referenced-by-count":37,"title":["Spatial optimization of operationally relevant large fire confine and point protection strategies: model development and test cases"],"prefix":"10.1139","volume":"48","author":[{"given":"Yu","family":"Wei","sequence":"first","affiliation":[{"name":"Department of Forest and Rangeland Stewardship, Colorado State University, Fort Collins, CO 80523, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Matthew P.","family":"Thompson","sequence":"additional","affiliation":[{"name":"Rocky Mountain Research Station, USDA Forest Service, Fort Collins, CO 80526, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jessica R.","family":"Haas","sequence":"additional","affiliation":[{"name":"Rocky Mountain Research Station, USDA Forest Service, Missoula, MT 59801, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Gregory K.","family":"Dillon","sequence":"additional","affiliation":[{"name":"Rocky Mountain Research Station, USDA Forest Service, Missoula, MT 59808, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christopher D.","family":"O\u2019Connor","sequence":"additional","affiliation":[{"name":"Rocky Mountain Research Station, USDA Forest Service, Missoula, MT 59801, USA."}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"155","reference":[{"key":"refg1\/ref1","doi-asserted-by":"publisher","unstructured":"Andrews, P.L., Heinsch, F.A., and Schelvan, L. 2011. 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