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dc.contributor.authorWynecoop, Monique D.
dc.contributor.authorMorgan, Penelope
dc.contributor.authorStrand, Eva K.
dc.contributor.authorSanchez Trigueros, Fernando
dc.date.accessioned2019-08-06T20:29:30Z
dc.date.available2019-08-06T20:29:30Z
dc.date.issued2019-06-03
dc.identifier.citationWynecoop, M. D., Morgan, P., Strand, E. K., & Trigueros, F. S. (2019). Getting back to fire suméŝ: Exploring a multi-disciplinary approach to incorporating traditional knowledge into fuels treatments. Fire Ecology, 15(1). doi:10.1186/s42408-019-0030-3en_US
dc.identifier.issn1933-9747
dc.identifier.doi10.1186/s42408-019-0030-3
dc.identifier.urihttp://hdl.handle.net/10150/633724
dc.description.abstractBackground: Evaluating fuel treatment effectiveness is challenging when managing a landscape for diverse ecological, social, and economic values. We used a Participatory Geographic Information System (PGIS) to understand Confederated Colville Tribal (CCT) member views regarding the location and effectiveness of fuel treatments within their ancestral territory within the Colville National Forest (CNF) boundary. The 2015 North Star Fire burned 88 221 ha (218 000 acres) of the CCT ancestral territory. Results: We sampled thirty plot pairs that were treated or untreated prior to being burned by the North Star Fire and again one growing season post fire. Species diversity was significantly increased by wildfire in both treated and untreated plots. Species richness was significantly increased in the plots that were treated, and there was no significant change in species richness from wildfire within the untreated plots. The percent canopy cover of two of the six culturally important plants (Fragaria spp. L. and Arnica cordifolia Hook.) significantly increased one growing season post wildfire within treated plots and one (Arctostaphylos uva-ursi [L.] Spreng.) significantly decreased in the treated plots post wildfire. These post-fire monitoring results were consistent with CCT member management recommendations and desired outcomes of understory thinning, prescribed fire, and natural ignition found using PGIS. Conclusions: Together, the results suggest that prior thinning and prescribed burning can foster vegetation response to subsequent wildfires, including culturally important plants. Further, integrating Traditional Knowledge (TK) into fuels treatments can improve ongoing adaptive management of national forests that include tribal ancestral lands.en_US
dc.description.sponsorshipCollaborative Forest Landscape Restoration Program; USDA Forest Service Pacific Northwest Region's Ecology Program; University of Idaho; International Association of Wildland Fire; Colville National Forest; Rocky Mountain Research Stationen_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media LLCen_US
dc.rightsCopyright © The Author(s). 2019. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0International License (http://creativecommons.org/licenses/by/4.0/).en_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectfire effectsen_US
dc.subjectfuel treatment effectivenessen_US
dc.subjectnortheastern Washingtonen_US
dc.subjectparticipatory geographic information systemsen_US
dc.subjectsocial ecological systemsen_US
dc.subjectTraditional Knowledgeen_US
dc.titleGetting back to fire suméŝ: exploring a multi-disciplinary approach to incorporating traditional knowledge into fuels treatmentsen_US
dc.typeArticleen_US
dc.contributor.departmentUniv Arizona, Sch Geog & Deven_US
dc.identifier.journalFire Ecologyen_US
dc.description.noteOpen access journalen_US
dc.description.collectioninformationThis item from the UA Faculty Publications collection is made available by the University of Arizona with support from the University of Arizona Libraries. If you have questions, please contact us at repository@u.library.arizona.edu.en_US
dc.eprint.versionFinal published versionen_US
dc.source.volume15
dc.source.issue1
refterms.dateFOA2019-08-06T20:29:30Z


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Copyright © The Author(s). 2019. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0International License (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's license is described as Copyright © The Author(s). 2019. Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0International License (http://creativecommons.org/licenses/by/4.0/).