LANDFIRE Related Articles

Hogland, J., Dunn, C.J., and Johnston, J.D., 2021, 21st century planning techniques for creating fire-resilient forests in the American West: Forests, v. 12, no. 8, article 1084, at https://doi.org/10.3390/f12081084.

Gonzalez, P., Battles, J.J., Collins, B.M., Robards, T., and Saah, D.S., 2015, Aboveground live carbon stock changes of California wildland ecosystems, 2001-2010: Forest Ecology and Management, v. 348, p. 68–77, at https://doi.org/10.1016/j.foreco.2015.03.040.

Wallace, Z.P., Nielson, R.M., Stahlecker, D.W., DiDonato, G.T., Ruehmann, M.B., and Cole, J., 2020, An abundance estimate of free-roaming horses on the Navajo Nation: Rangeland Ecology & Management, v. 74, p. 100–109, at https://doi.org/10.1016/j.rama.2020.10.003.

Wise, C.R., 2021, Accountability in collaborative federal programs, multidimensional and multilevel performance measures needed—The case of wildland fire prevention: American Review of Public Administration, v. 52, no. 2, p. 95–108, at https://doi.org/10.1177/02750740211050367.

Swaty, R., Blankenship, K., Hagen, S., Fargione, J., Smith, J., and Patton, J., 2011, Accounting for ecosystem alteration doubles estimates of conservation risk in the conterminous United States: PLoS ONE, v. 6, no. 8, article e23002, at https://doi.org/10.1371/journal.pone.0023002.

Hurteau, M.D., Hungate, B.A., and Koch, G.W., 2009, Accounting for risk in valuing forest carbon offsets: Carbon Balance and Management, v. 4, article 1, at https://doi.org/10.1186/1750-0680-4-1.

Reinking, A.K., Smith, K.T., Mong, T.W., Read, M.J., and Beck, J.L., 2019, Across scales, pronghorn select sagebrush, avoid fences, and show negative responses to anthropogenic features in winter: Ecosphere, v. 10, no. 5, article e02722, at https://doi.org/10.1002/ecs2.2722.

Moody, M.J., Stoll, R., and Bailey, B.N., 2023, Adaptation of QES-Fire, a dynamically coupled fast response wildfire model for heterogeneous environments: International Journal of Wildland Fire, v. 32, no. 5, p. 749–766, at https://doi.org/10.1071/wf22190.

Kepka, M., Hájek, P., Ko

Thompson, M.P., Calkin, D.E., Gilbertson-Day, J.W., and Ager, A.A., 2011, Advancing effects analysis for integrated, large-scale wildfire risk assessment: Environmental Monitoring and Assessment, v. 179, no. 4, p. 217–39, at https://doi.org/10.1007/s10661-010-1731-x.

Dorshow, W.B., and Wills, W.H., 2022, Agricultural suitability of the Chaco Canyon Region, New Mexico—Implications for settlement patterning during the great house period (ca. AD 850 to 1200): Journal of Archaeological Science - Reports, v. 46, article 103650, at https://doi.org/10.1016/j.jasrep.2022.103650.

Yu, H., Guenther, A., Gu, D., Warneke, C., Geron, C., Goldstein, A., Graus, M., Karl, T., Kaser, L., et al., 2017, Airborne measurements of isoprene and monoterpene emissions from southeastern U.S. forests: Science of the Total Environment, v. 595, p. 149–158, at https://doi.org/10.1016/j.scitotenv.2017.03.262.

Schafer, T.L.J., Breck, S.W., Baruch-Mordo, S., Lewis, D.L., Wilson, K.R., Mao, J.S., and Day, T.L., 2018, American black bear den-site selection and characteristics in an urban environment: Ursus, v. 29, no. 1, p. 25–31, at https://doi.org/10.2192/URSUS-D-17-00004.2.

Buffum, B., McGreevy, T.J., Gottfried, A.E., Sullivan, M.E., and Husband, T.P., 2015, An analysis of overstory tree canopy cover in sites occupied by native and introduced cottontails in the northeastern United States with recommendations for habitat management for new England Cottontail: PLoS ONE, v. 10, no. 8, article e0135067, at https://doi.org/10.1371/journal.pone.0135067.

Wetzel, W.C., Lacher, I.L., Swezey, D.S., Moffitt, S.E., and Manning, D.T., 2012, Analysis reveals potential rangeland impacts if Williamson Act eliminated: California Agriculture, v. 66, no. 4, p. 131–136, at https://doi.org/10.3733/ca.v066n04p131.

Ager, A.A., A. Day, M., Finney, M.A., Vance-Borland, K., and Vaillant, N.M., 2014, Analyzing the transmission of wildfire exposure on a fire-prone landscape in Oregon, USA: Forest Ecology and Management, v. 334, p. 377–390, at https://doi.org/10.1016/j.foreco.2014.09.017.

Duchardt, C.J., Augustine, D.J., and Beck, J.L., 2020, Anthropogenic and natural disturbance differentially affect sagebrush bird habitat use: The Journal of Wildlife Management, v. 84, no. 7, p. 1361–1372, at https://doi.org/10.1002/jwmg.21907.

Douglas, M.R., Davis, M.A., Amarello, M., Smith, J.J., Schuett, G.W., Herrmann, H.W., Holycross, A.T., and Douglas, M.E., 2016, Anthropogenic impacts drive niche and conservation metrics of a cryptic rattlesnake on the Colorado Plateau of western North America: Royal Society Open Science, v. 3, no. 4, article 160047, at https://doi.org/10.1098/rsos.160047.

Elnaggar, A.A., and Noller, J.S., 2010, Application of remote-sensing data and decision-tree analysis to mapping salt-affected soils over large areas: Remote Sensing, v. 2, no. 1, p. 151–165, at https://doi.org/10.3390/rs2010151.

Thompson, M.P., Bowden, P., Brough, A., Scott, J.H., Gilbertson-Day, J., Taylor, A., Anderson, J., and Haas, J.R., 2016, Application of wildfire risk assessment results to wildfire response planning in the Southern Sierra Nevada, California, USA: Forests, v. 7, no. 3, article 64, at https://doi.org/10.3390/f7030064.

Gray, M.E., and Dickson, B.G., 2016, Applying fire connectivity and centrality measures to mitigate the cheatgrass-fire cycle in the arid west, USA: Landscape Ecology, v. 31, no. 8, p. 1681–1696, at https://doi.org/10.1007/s10980-016-0353-2.

Miao, X., Heaton, J.S., Zheng, S., Charlet, D.A., and Liu, H., 2012, Applying tree-based ensemble algorithms to the classification of ecological zones using multi-temporal multi-source remote-sensing data: International Journal of Remote Sensing, v. 33, no. 6, p. 1823–1849, at https://doi.org/10.1080/01431161.2011.602651.

Smith, K.T., Dinkins, J.B., and Beck, J.L., 2019, Approaches to delineate greater sage-grouse winter concentration areas: The Journal of Wildlife Management, v. 83, no. 7, p. 1495–1507, at https://doi.org/10.1002/jwmg.21738.

Hu, F.S., Higuera, P.E., Duffy, P., Chipman, M.L., Rocha, A.V., Young, A.M., Kelly, R., and Dietze, M.C., 2015, Arctic tundra fires—Natural variability and responses to climate change: Frontiers in Ecology and the Environment, v. 13, no. 7, p. 369–377, at https://doi.org/10.1890/150063.

Polasky, S., Johnson, K., Keeler, B., Kovacs, K., Nelson, E., Pennington, D., Plantinga, A.J., and Withey, J., 2012, Are investments to promote biodiversity conservation and ecosystem services aligned?: Oxford Review of Economic Policy, v. 28, no. 1, p. 139–163, at https://doi.org/10.1093/oxrep/grs011.

Wion, A.P., Weisberg, P.J., Pearse, I.S., and Redmond, M.D., 2019, Aridity drives spatiotemporal patterns of masting across the latitudinal range of a dryland conifer: Ecography, v. 43, no. 4, p. 569–580, at https://doi.org/10.1111/ecog.04856.

Saeedimoghaddam, M., Nearing, G., Goodrich, D.C., Hernandez, M., Guertin, D.P., Metz, L.J., Wei, H., Ponce-Campos, G., Burns, S., et al., 2024, An artificial neural network to estimate the foliar and ground cover input variables of the Rangeland Hydrology and Erosion Model: Journal of Hydrology, v. 631, article 130835, at https://doi.org/10.1016/j.jhydrol.2024.130835.

Parsons, R.A., Heyerdahl, E.K., Keane, R.E., Dorner, B., and Fall, J., 2007, Assessing accuracy of point fire intervals across landscapes with simulation modelling: Canadian Journal of Forest Research, v. 37, no. 9, p. 1605–1614, at https://doi.org/10.1139/X07-013.

Theobald, D.M., Crooks, K.R., and Norman, J.B., 2011, Assessing effects of land use on landscape connectivity—Loss and fragmentation of western U.S. forests: Ecological Applications, v. 21, no. 7, p. 2445–2458, at https://doi.org/10.1890/10-1701.1.

Wimberly, M.C., Cochrane, M.A., Baer, A.D., and Kari, P., 2009, Assessing fuel treatment effectiveness using satellite imagery and spatial statistics: Ecological Applications, v. 19, no. 6, p. 1377–1384, at https://doi.org/10.1890/08-1685.1.

Westover, M., Baxter, J., Baxter, R., Day, C., Jensen, R., Petersen, S., and Larsen, R., 2016, Assessing greater sage-grouse selection of brood-rearing habitat using remotely-sensed imagery—Can readily available high-resolution imagery be used to identify brood-rearing habitat across a broad landscape?: PLoS ONE, v. 11, no. 5, article e0156290, at https://doi.org/10.1371/journal.pone.0156290.

Drummond, M.A., Stier, M.P., Auch, R.F., Taylor, J.L., Griffith, G.E., Riegle, J.L., Hester, D.J., Soulard, C.E., and McBeth, J.L., 2015, Assessing landscape change and processes of recurrence, replacement, and recovery in the southeastern coastal plains, USA: Environmental Management, v. 56, no. 5, p. 1252–1271, at https://doi.org/10.1007/s00267-015-0574-1.

Hanewinkel, M., Hummel, S., and Albrecht, A., 2011, Assessing natural hazards in forestry for risk management—A review: European Journal of Forest Research, v. 130, no. 3, p. 329–351, at https://doi.org/10.1007/s10342-010-0392-1.

Campbell, M.J., Dennison, P.E., Thompson, M.P., and Butler, B.W., 2022, Assessing potential safety zone suitability using a new online mapping tool: Fire, v. 5, no. 1, article 5, at https://doi.org/10.3390/fire5010005.

Kornse, Z., and Wohl, E., 2020, Assessing restoration potential for beaver (Castor canadensis) in the semiarid foothills of the Southern Rockies, USA: River Research and Applications, v. 36, no. 9, p. 1932–1943, at https://doi.org/10.1002/rra.3719.

Scott, V., Juran, L., Ling, E.J., Benham, B., and Spiller, A., 2020, Assessing strontium and vulnerability to strontium in private drinking water systems in Virginia: Water, v. 12, no. 4, article 1053, at https://doi.org/10.3390/w12041053.

Ager, A.A., Day, M.A., Short, K.C., and Evers, C.R., 2016, Assessing the impacts of federal forest planning on wildfire risk mitigation in the Pacific Northwest, USA: Landscape and Urban Planning, v. 147, p. 1–17, at https://doi.org/10.1016/j.landurbplan.2015.11.007.

Huntington, J., McGwire, K., Morton, C., Snyder, K., Peterson, S., Erickson, T., Niswonger, R., Carroll, R., Smith, G., et al., 2016, Assessing the role of climate and resource management on groundwater dependent ecosystem changes in arid environments with the Landsat archive: Remote Sensing of Environment, v. 185, p. 186–197, at https://doi.org/10.1016/j.rse.2016.07.004.

Ager, A.A., Palaiologou, P., Evers, C.R., Day, M.A., and Barros, A.M.G., 2018, Assessing transboundary wildfire exposure in the southwestern United States: Risk Analysis, v. 38, no. 10, p. 2105–2127, at https://doi.org/10.1111/risa.12999.

Monroe, A.P., Nauman, T.W., Aldridge, C.L., O’Donnell, M.S., Duniway, M.C., Cade, B.S., Manier, D.J., and Anderson, P.J., 2022, Assessing vegetation recovery from energy development using a dynamic reference approach: Ecology and Evolution, v. 12, no. 2, article e8508, at https://doi.org/10.1002/ece3.8508.

Leta, O.T., El-Kadi, A.I., Dulai, H., and Ghazal, K.A., 2016, Assessment of climate change impacts on water balance components of Heeia watershed in Hawaii: Journal of Hydrology - Regional Studies, v. 8, p. 182–197, at https://doi.org/10.1016/j.ejrh.2016.09.006.

An, K., Jones, C.E., and Lou, Y., 2024, Assessment of pre‐ and post‐fire fuel availability for wildfire management based on L‐band polarimetric SAR: Earth and Space Science, v. 11, no. 4, article e2023EA002943, at https://doi.org/10.1029/2023ea002943.

Rashidi, E., Medal, H., and Hoskins, A., 2018, An attacker-defender model for analyzing the vulnerability of initial attack in wildfire suppression: Naval Research Logistics, v. 65, no. 2, p. 120–134, at https://doi.org/10.1002/nav.21792.

Henderson, C.R., Mitchell, M.S., Myers, W.L., Lukacs, P.M., and Nelson, G.P., 2018, Attributes of seasonal home range influence choice of migratory strategy in white-tailed deer: Journal of Mammalogy, v. 99, no. 1, p. 89–96, at https://doi.org/10.1093/jmammal/gyx148.

Peterson, B., Nelson, K.J., Seielstad, C., Stoker, J., Jolly, W.M., and Parsons, R., 2015, Automated integration of lidar into the LANDFIRE product suite: Remote Sensing Letters, v. 6, no. 3, p. 247–256, at https://doi.org/10.1080/2150704X.2015.1029086.

Jorge, M.H., Conner, L.M., Garrison, E.P., and Cherry, M.J., 2022, Avian species richness in a frequently burned ecosystem—A link between pyrodiversity and biodiversity: Landscape Ecology, v. 37, no. 4, p. 983–996, at https://doi.org/10.1007/s10980-022-01399-8.

Hysen, L., Nayeri, D., Cushman, S., and Wan, H.Y., 2022, Background sampling for multi-scale ensemble habitat selection modeling—Does the number of points matter?: Ecological Informatics, v. 72, article 101914, at https://doi.org/10.1016/j.ecoinf.2022.101914.

Helmstetter, N.A., Conway, C.J., Stevens, B.S., and Goldberg, A.R., 2020, Balancing transferability and complexity of species distribution models for rare species conservation: Diversity and Distributions, v. 27, no. 1, p. 95–108, at https://doi.org/10.1111/ddi.13174.

Ren, J., Hanan, E.J., Hicke, J.A., Kolden, C.A., Abatzoglou, J.T., Tague, C.N.L., Bart, R.R., Kennedy, M.C., Liu, M., et al., 2023, Bark beetle effects on fire regimes depend on underlying fuel modifications in semiarid systems: Journal of Advances in Modeling Earth Systems, v. 15, no. 1, article e2022MS003073, at https://doi.org/10.1029/2022MS003073.

Carroll, R.W.H., Manning, A.H., Niswonger, R., Marchetti, D., and Williams, K.H., 2020, Baseflow age distributions and depth of active groundwater flow in a snow-dominated mountain headwater basin: Water Resources Research, v. 56, no. 12, article e2020WR028161, at https://doi.org/10.1029/2020WR028161.

Yoo, M., and Wikle, C.K., 2024, A Bayesian spatio-temporal level set dynamic model and application to fire front propagation: Annals of Applied Statistics, v. 18, no. 1, p. 404–423, at https://doi.org/10.1214/23-AOAS1794.

Gray, S.M., Humphreys, J.M., Montgomery, R.A., Etter, D.R., VerCauteren, K.C., Kramer, D.B., and Roloff, G.J., 2022, Behavioral states in space and time—Understanding landscape use by an invasive mammal: The Journal of Wildlife Management, v. 86, no. 4, article e22211, at https://doi.org/10.1002/jwmg.22211.

Picardi, S., Coates, P., Kolar, J., O'Neil, S., Mathews, S., and Dahlgren, D., 2021, Behavioural state-dependent habitat selection and implications for animal translocations: Journal of Applied Ecology, v. 59, no. 2, p. 624–635, at https://doi.org/10.1111/1365-2664.14080.

Burnett, K., Wada, C., and Balderston, A., 2017, Benefit-cost analysis of watershed conservation on Hawai'i Island: Ecological Economics, v. 131, p. 262–274, at https://doi.org/10.1016/j.ecolecon.2016.09.013.

Barnett, K., Parks, S.A., Miller, C., and Naughton, H.T., 2016, Beyond fuel treatment effectiveness—Characterizing interactions between fire and treatments in the US: Forests, v. 7, no. 10, article 237, at https://doi.org/10.3390/f7100237.

Keane, R.E., Holsinger, L.M., and Loehman, R., 2020, Bioclimatic modeling of potential vegetation types as an alternative to species distribution models for projecting plant species shifts under changing climates: Forest Ecology and Management, v. 477, article 118498, at https://doi.org/10.1016/j.foreco.2020.118498.

Costanza, J.K., Abt, R.C., McKerrow, A.J., and Collazo, J.A., 2017, Bioenergy production and forest landscape change in the southeastern United States: GCB Bioenergy, v. 9, no. 5, p. 924–939, at https://doi.org/10.1111/gcbb.12386.

Stevens, J.T., Kling, M.M., Schwilk, D.W., Varner, J.M., and Kane, J.M., 2020, Biogeography of fire regimes in western U.S. conifer forests—A trait-based approach: Global Ecology and Biogeography, v. 29, no. 5, p. 944–955, at https://doi.org/10.1111/geb.13079.

Riggs, R.A., Keane, R.E., Cimon, N., Cook, R., Holsinger, L., Cook, J., DelCurto, T., Baggett, L., Justice, D., et al., 2015, Biomass and fire dynamics in a temperate forest-grassland mosaic—Integrating multi-species herbivory, climate, and fire with the FireBGCv2/GrazeBGC system: Ecological Modelling, v. 296, p. 57–78, at https://doi.org/10.1016/j.ecolmodel.2014.10.013.

Smith, T.C., Bishop, T.B.B., Duniway, M.C., Villarreal, M.L., Knight, A.C., Munson, S.M., Waller, E.K., Jensen, R., and Gill, R.A., 2023, Biophysical factors control invasive annual grass hot spots in the Mojave Desert: Biological Invasions, v. 25, p. 3839–3858, at https://doi.org/10.1007/s10530-023-03142-z.

Stephens, J.L., Dinger, E.C., Alexander, J.D., Mohren, S.R., Ralph, C.J., and Sarr, D.A., 2016, Bird communities and environmental correlates in southern Oregon and northern California, USA: PLoS ONE, v. 11, no. 10, article e0163906, at https://doi.org/10.1371/journal.pone.0163906.

Greenler, S.M., Lake, F.K., Tripp, W., McCovey, K., Tripp, A., Hillman, L.G., Dunn, C.J., Prichard, S.J., Hessburg, P.F., et al., 2024, Blending indigenous and western science—Quantifying cultural burning impacts in Karuk Aboriginal Territory: Ecological Applications, v. 34, no. 4, article e2973, at https://doi.org/10.1002/eap.2973.

Hammond, D.H., Strand, E.K., Hudak, A.T., and Newingham, B.A., 2019, Boreal forest vegetation and fuel conditions 12 years after the 2004 Taylor Complex fires in Alaska, USA: Fire Ecology, v. 15, no. 1, article 32, at https://doi.org/10.1186/s42408-019-0049-5.

Dillon, G.K., Holden, Z.A., Morgan, P., Crimmins, M.A., Heyerdahl, E.K., and Luce, C.H., 2011, Both topography and climate affected forest and woodland burn severity in two regions of the western US, 1984 to 2006: Ecosphere, v. 2, no. 12, p. 1–33, at https://doi.org/10.1890/ES11-00271.1.

Bremer, L.L., Mandle, L., Trauernicht, C., Pascua, P., McMillen, H.L., Burnett, K., Wada, C.A., Kurashima, N., Quazi, S.A., et al., 2018, Bringing multiple values to the table—Assessing future land-use and climate change in North Kona, Hawai'i: Ecology and Society, v. 23, no. 1, article 33, at https://doi.org/10.5751/ES-09936-230133.

Zlonis, E.J., Walton, N.G., Sturtevant, B.R., Wolter, P.T., and Niemi, G.J., 2019, Burn severity and heterogeneity mediate avian response to wildfire in a hemiboreal forest: Forest Ecology and Management, v. 439, p. 70–80, at https://doi.org/10.1016/j.foreco.2019.02.043.

Han, Y., Zheng, C., Liu, X., Tian, Y., and Dong, Z., 2024, Burned area and burn severity mapping with a transformer-based change detection model: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, v. 17, p. 13866-13880, at https://doi.org/10.1109/jstars.2024.3435857.

Freundlich, A.E., and Holt, E.A., 2020, Business as usual—Macrolichen community response to the resilience of spruce–fir forests to beetle disturbance in northwestern Colorado: Canadian Journal of Forest Research, v. 50, no. 11, p. 1172–1183, at https://doi.org/10.1139/cjfr-2020-0159.

Thorne, J.H., and Le, T.N.g., 2016, California's historic legacy for landscape change, the Wieslander vegetation type maps: Madroño, v. 63, no. 4, p. 293–328, at https://doi.org/10.3120/0024-9637-63.4.293.

Loehman, R., Flatley, W., Holsinger, L., and Thode, A., 2018, Can land management buffer impacts of climate changes and altered fire regimes on ecosystems of the southwestern United States?: Forests, v. 9, no. 4, article 192, at https://doi.org/10.3390/f9040192.

Barnard, D.M., Germino, M.J., Pilliod, D.S., Arkle, R.S., Applestein, C., Davidson, B.E., and Fisk, M.R., 2019, Cannot see the random forest for the decision trees—Selecting predictive models for restoration ecology: Restoration Ecology, v. 27, no. 5, p. 1053–1063, at https://doi.org/10.1111/rec.12938.

Sleeter, R., Sleeter, B.M., Williams, B., Hogan, D., Hawbaker, T., and Zhu, Z., 2017, A carbon balance model for the great dismal swamp ecosystem: Carbon Balance and Management, v. 12, no. 1, article 2, at https://doi.org/10.1186/s13021-017-0070-4.

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Gardner, C.B., Wichterich, C., Calero, A.E., Welch, S.A., Widom, E., Smith, D.F., Carey, A.E., and Lyons, W.B., 2022, Carbonate weathering, phosphate fertilizer, and hydrologic controls on dissolved uranium in rivers in the US Corn Belt—Disentangling seasonal geogenic- and fertilizer-derived sources: Science of the Total Environment, v. 861, article 160455, at https://doi.org/10.1016/j.scitotenv.2022.160455.

Hyde, J., Strand, E.K., Hudak, A.T., and Hamilton, D., 2015, A case study comparison of LANDFIRE fuel loading and emissions generation on a mixed conifer forest in northern Idaho, USA: Fire Ecology, v. 11, no. 3, p. 108–127, at https://doi.org/10.4996/fireecology.1103108.

Brunet, M.J., Monteith, K.L., Huggler, K.S., Clapp, J.G., Thompson, D.J., Burke, P.W., Zornes, M., Lionberger, P., Valdez, M., et al., 2022, Cats and dogs—A mesopredator navigating risk and reward provisioned by an apex predator: Ecology and Evolution, v. 12, no. 2, article e8641, at https://doi.org/10.1002/ece3.8641.

Ratcliff, F., Barry, S., Rao, D., Peterson, R., Becchetti, T., Kebreab, E., Motamed, K., Jung, M., and Mitloehner, F., 2023, Cattle grazing moderates greenhouse gas and particulate matter emissions from California grassland wildfires: Sustainability, v. 15, no. 18, article 13539, at https://doi.org/10.3390/su151813539.

Spies, T.A., Lindenmayer, D.B., Gill, A.M., Stephens, S.L., and Agee, J.K., 2012, Challenges and a checklist for biodiversity conservation in fire-prone forests—Perspectives from the Pacific Northwest of USA and southeastern Australia: Biological Conservation, v. 145, no. 1, p. 5–14, at https://doi.org/10.1016/j.biocon.2011.09.008.

Fargione, J., Haase, D.L., Burney, O.T., Kildisheva, O.A., Edge, G., Cook-Patton, S.C., Chapman, T., Rempel, A., Hurteau, M.D., et al., 2021, Challenges to the reforestation pipeline in the United States: Frontiers in Forests and Global Change, v. 4, article 629198, at https://doi.org/10.3389/ffgc.2021.629198.

Airey-Lauvaux, C., Pierce, A.D., Skinner, C.N., and Taylor, A.H., 2022, Changes in fire behavior caused by fire exclusion and fuel build-up vary with topography in California montane forests, USA: Journal of Environmental Management, v. 304, article 114255, at https://doi.org/10.1016/j.jenvman.2021.114255.

Cullen, A.C., Goldgeier, B.R., Belval, E., and Abatzoglou, J.T., 2024, Characterising ignition precursors associated with high levels of deployment of wildland fire personnel: International Journal of Wildland Fire, v. 33, no. 8, article Wf23182, at https://doi.org/10.1071/WF23182.

Clark, R.M., Webster, C.R., Kenefic, L.S., Kern, C.C., and Chimner, R.A., 2024, Characterizing northern white-cedar communities in harvested and unharvested lowland forests of Michigan, USA: Wetlands Ecology and Management, v. 32, p. 327–353, at https://doi.org/10.1007/s11273-024-09979-y.

Liang, L., Hawbaker, T.J., Chen, Y., Zhu, Z., and Gong, P., 2014, Characterizing recent and projecting future potential patterns of mountain pine beetle outbreaks in the Southern Rocky Mountains: Applied Geography, v. 55, p. 165–175, at https://doi.org/10.1016/j.apgeog.2014.09.012.

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