Sturrock, R. N. et al. Climate change and forest diseases. Plant Pathol 60, 133–149 (2011).
Pathak, R., Singh, S. K., Tak, A. & Gehlot, P. Impact of climate change on host, pathogen and plant disease adaptation regime: a review. Biosci. Biotechnol. Res. Asia 15, 529–540 (2018).
Bouzid & Maha. Examining the Role of Environmental Change on Emerging Infectious Diseases and Pandemics. (IGI Global, 2016).
Ghelardini, L., Pepori, A. L., Luchi, N., Capretti, P. & Santini, A. Drivers of emerging fungal diseases of forest trees. For. Ecol. Manage. 381, 235–246 (2016).
Chaloner, T. M., Gurr, S. J. & Bebber, D. P. Geometry and evolution of the ecological niche in plant-associated microbes. Nat. Commun. 11, 2955 (2020).
Donald, F., Green, S., Searle, K., Cunniffe, N. J. & Purse, B. V. Small scale variability in soil moisture drives infection of vulnerable juniper populations by invasive forest pathogen. For. Ecol. Manage. 473, 118324 (2020).
Dudney, J. et al. Nonlinear shifts in infectious rust disease due to climate change. Nat. Commun. 12, 5102 (2021).
Bebber, D. P. Range-expanding pests and pathogens in a warming world. Annu. Rev. Phytopathol. 53, 335–356 (2015).
Bebber, D. P., Ramotowski, M. A. T. & Gurr, S. J. Crop pests and pathogens move polewards in a warming world. Nat. Clim. Chang. 3, 985–988 (2013).
Rohr, J. R. et al. Frontiers in climate change–disease research. Trends Ecol. Evol. 26, 270–277 (2011).
Peterson, A. T. Shifting suitability for malaria vectors across Africa with warming climates. BMC Infect. Dis. 9, 59 (2009).
Garamszegi, L. Z. Climate change increases the risk of malaria in birds. Glob. Chang. Biol. 17, 1751–1759 (2011).
Gougherty, A. V. Emerging tree diseases are accumulating rapidly in the native and non-native ranges of Holarctic trees. NeoBiota 87, 143–160 (2023).
Tomback, D. F. & Achuff, P. Blister rust and western forest biodiversity: ecology, values and outlook for white pines. For. Pathol. 40, 186–225 (2010).
Goeking, S. A. & Windmuller-Campione, M. A. Comparative species assessments of five-needle pines throughout the western United States. For. Ecol. Manage. 496, 119438 (2021).
Schoettle, A. W. et al. Integrating forest health conditions and species adaptive capacities to infer future trajectories of the high elevation five-needle white pines. For. Ecol. Manage. 521, 120389 (2022).
Campbell, E. M. & Antos, J. A. Distribution and severity of white pine blister rust and mountain pine beetle on whitebark pine in British Columbia. Can. J. For. Res. 30, 1051–1059 (2000).
Geils, B. W., Hummer, K. E. & Hunt, R. S. White pines, Ribes, and blister rust: a review and synthesis: Review and synthesis. For. Pathol. 40, 147–185 (2010).
Mielke, J. L. White pine blister rust in western North America. vol. Bulletin 52 (1943).
Akiba, M. Diversity of Pathogenicity and Virulence in the Pinewood Nematode, Bursaphelenchus xylophilus. J. Jpn. For. Soc. 88, 383–391 (2006).
McDonald, G. I., Richardson, B. A., Zambino, P. J., Klopfenstein, N. B. & Kim, M.-S. Pedicularis and Castilleja are natural hosts of Cronartium ribicola in North America: a first report. For. Pathol. 36, 73–82 (2006).
Endangered and Threatened Wildlife and Plants; Threatened Species Status with Section 4(d) Rule for Whitebark Pine (Pinus albicaulis). 87 FR 76882 (2022).
Kolb, T. E. et al. Observed and anticipated impacts of drought on forest insects and diseases in the United States. For. Ecol. Manage. 380, 321–334 (2016).
Hennon, P. E. et al. A framework to evaluate climate effects on forest tree diseases. For. Pathol. 50, p.e12469 (2020).
Bega, R. The effect of environment on germination of sporidia in Cronartium ribicola. Phytopathology 50, 61–69 (1960).
Hirt, R. R. The relation of certain meteorological factors to the infection of Eastern White Pine by the blister-rust fungus. Bull N.Y. Coll. For., 15, 65p (1942).
Van Arsdel, E. P., Riker, A. J. & Patton, R. The effects of temperature and moisture on the spread of White Pine blister rust. Phytopathology 46, 307–318 (1956).
Lachmund, H. G. Mode of entrance and periods in the life cycle of Cronartium ribicola on Finns montícola. J. Agric. Res. 47, 791–805 (1933).
Jacobi, W. R., Kearns, H. S. J., Cleaver, C. M., Goodrich, B. A. & Burns, K. S. Epidemiology of white pine blister rust on limber pine in Colorado and Wyoming. For. Pathol. 48, e12465 (2018).
Woods, A. J., Heppner, D., Kope, H. H., Burleigh, J. & Maclauchlan, L. Forest health and climate change: A British Columbia perspective. For. Chron. 86, 412–422 (2010).
Thoma, D. P., Shanahan, E. K. & Irvine, K. M. Climatic correlates of white pine blister rust infection in whitebark pine in the greater Yellowstone ecosystem. Forests 10, 666 (2019).
Burns, K. S. et al. Interactions between white pine blister rust, bark beetles, and climate over time indicate vulnerabilities to limber pine health. Front. For. Glob. Change. 6, 114956 (2023).
Kearns, H. S. J., Jacobi, W. R. & Geils, B. W. A method for estimating white pine blister rust canker age on limber pine in the central Rocky Mountains. For. Pathol. 39, 177–191 (2009).
Hunt, R. S. & Jensen, G. D. Long infection period for white pine blister rust in coastal British Columbia. Horttechnology 10, 530–532 (2000). American Society for Horticultural Science.
Kinloch, B. B. White pine blister rust in North America: past and prognosis. Phytopathology 93, 1044–1047 (2003).
Kearns, H. S. J. et al. Risk of white pine blister rust to limber pine in Colorado and Wyoming, USA. For. Pathol. 44, 21–38 (2014).
Frank, K. L., Geils, B. W., Kalkstein, L. S. & Thistle, H. W. Jr Synoptic climatology of the long-distance dispersal of white pine blister rust II. Combination of surface and upper-level conditions. Int. J. Biometeorol. 52, 653–666 (2008).
Blodgett, J. T. & Sullivan, K. F. First report of white pine blister rust on Rocky Mountain bristlecone pine. Plant Dis 88, 311 (2004).
Vogler, D. R., Geils, B. W. & Coats, K. First report of the white pine blister rust fungus, Cronartium ribicola, infecting Ribes inerme in north-central Utah. Plant Dis 101, 386–386 (2017).
Hawksworth, F. G. White Pine blister rust in southern New Mexico. Plant Dis 74, 938 (1990).
Sniezko, R. A. & Liu, J.-J. Genetic resistance to white pine blister rust, restoration options, and potential use of biotechnology. For. Ecol. Manage. 520, 120168 (2022).
Mulvey, R. L. & Hansen, E. M. Castilleja and Pedicularis confirmed as telial hosts for Cronartium ribicola in whitebark pine ecosystems of Oregon and Washington. For. Pathol. 41, 453–463 (2011).
Zambino, P. J. Biology and pathology of Ribes and their implications for management of white pine blister rust. For. Pathol. 40, 264–291 (2010).
Van Arsdel, E. P. Environment in relation to white pine blister rust infection. in Biology of rust resistance in forest trees: Proceedings of a NATO-IUFRO Advanced Study Institute: Biology of rust resistance in forest trees (eds. Bingham, R. T., Hoffand, R. & McDonald, G. I.) Publication 112; 479–493 (USDA Forest Service, Washington, D.C., USA, 1972).
Malone, S. L. et al. RustMapper: White Pine blister rust risk across high elevation forests in the western United States. Sci. Data 12, 1–17 (2025).
Harvey, A. E., Byler, J. W., McDonald, G. I., Neuenschwander, L. F. & Tonn, J. R. Death of an Ecosystem: Perspectives on Western White Pine https://www.fs.usda.gov/rm/pubs/rmrs_gtr208.pdf (2008).
Maloy, O. C. White pine blister rust control in North America: a case history. Annu. Rev. Phytopathol. 35, 87–109 (1997).
Geils, B. W., Conklin, D. A. & Van Arsdel, E. P. A Preliminary Hazard Model of White Pine Blister Rust for the Sacramento Ranger District, Lincoln National Forest. USDA Forest Service. https://www.fs.usda.gov/rm/pubs/rmrs_rn006.pdf (1999).
Howell, B. E., Burns, K. S. & Kearns, H. S. J. Biological Evaluation of a Model for Predicting Presence of White Pine Blister Rust in Colorado Based on Climatic Variables and Susceptible White Pine. (2006).
Chabot, B. F. & Mooney, H. A. Physiological Ecology of North American Plant Communities. vol. 39 351 (Chapman and Hall, New York, 1985).
Angert, A. L., Bradshaw, H. D. Jr. & Schemske, D. W. Using experimental evolution to investigate geographic range limits in monkeyflowers. Evolution 62, 2660–2675 (2008).
Aitken, S. N., Yeaman, S., Holliday, J. A., Wang, T. & Curtis-McLane, S. Adaptation, migration or extirpation: climate change outcomes for tree populations. Evol. Appl. 1, 95–111 (2008).
Shirk, A. J. et al. Southwestern white pine (Pinus strobiformis) species distribution models project a large range shift and contraction due to regional climatic changes. For. Ecol. Manage. 411, 176–186 (2018).
Malone, S. L., Schoettle, A. W. & Coop, J. D. The future of subalpine forests in the Southern Rocky Mountains: Trajectories for Pinus aristata genetic lineages. PLoS One 13, e0193481 (2018).
Millar, C. I. et al. Do low-elevation ravines provide climate refugia for subalpine limber pine (Pinus flexilis) in the Great Basin, USA? Can. J. For. Res. 48, 663–671 (2018).
Charlet, D. A. Nevada Mountains: Landforms, Trees, and Vegetation. (University of Utah Press, 2019). https://doi.org/10.1353/book74205.
Jenkins, M. B. et al. Restoring a forest keystone species: A plan for the restoration of whitebark pine (Pinus albicaulis Engelm.) in the Crown of the Continent ecosystem. For. Ecol. Manage. 522, 120282 (2022).
Schoettle, A. W., Jacobi, W. R., Waring, K. M. & Burns, K. S. Regeneration for resilience framework to support regeneration decisions for species with populations at risk of extirpation by white pine blister rust. New Forests 50, 89–114 (2019).
Schoettle, A. W. & Sniezko, R. A. Proactive intervention to sustain high-elevation pine ecosystems threatened by white pine blister rust. J. Forest Res. 12, 327–336 (2007).
Tomback, D. F. et al. Tamm review: Current and recommended management practices for the restoration of whitebark pine (Pinus albicaulis Engelm.), an imperiled high-elevation western North American forest tree. For. Ecol. Manage. 522, 119929 (2022).
Schoettle, A. Taking the long view and acting now – prioritizing management of high elevation five-needle pines. Mountain Views (CIRMOUNT) 13, 2–7 (2019).
Keane, R. E., Schoettle, A. W. & Tomback, D. F. Effective actions for managing resilient high elevation five-needle white pine forests in western North America at multiple scales under changing climates. For. Ecol. Manage. 505, 119939 (2022).
Keane, R. E. & Parsons, R. A. Restoring Whitebark Pine Forests of the Northern Rocky Mountains, USA. Ecological Restoration 28, 56–70 (2010).
Logan, J. A., MacFarlane, W. W. & Willcox, L. Whitebark pine vulnerability to climate-driven mountain pine beetle disturbance in the Greater Yellowstone Ecosystem. Ecol. Appl. 20, 895–902 (2010).
Malone, S. L. et al. White Pine Blister Rust (WPBR) Plot Data from the Western United States ver 2. Environmental Data Initiative. https://doi.org/10.6073/pasta/70d7cd56799fc79668343e48e87bb9ef (2025).
U.S. Geological Survey. National Hydrography Dataset. (2019).
Van Arsdel, E. P. & Geils, B. W. The Ribes of Colorado and New Mexico and Their Rust Fungi. vols 4-13 https://research.fs.usda.gov/treesearch/download/66502.pdf (2004).
Hollister, J. W. elevatr: access elevation data from various APIs. R package version 0.4.2. (2022).
De Reu, J. et al. Application of the topographic position index to heterogeneous landscapes. Geomorphology 186, 39–49 (2013).
Riley, S. J., DeGloria, S. D. & Elliot, S. D. A Terrain Ruggedness Index that Quantifies Topographic Heterogeneity. Intermt. J. Sci. 5, 23–27 (1999).
Thornton, M. M., Thornton, P. E., Wei, Y., Vose, R. S. & Boyer, A. G. Daymet: Station-level inputs and model predicted values for North America, Version 3. ORNL DAAC (2017).
Liaw, A. & Wiener, M. Classification and regression by randomForest. R news 2, 18–22 (2002).
Genuer, R., Poggi, J.-M. & Tuleau-Malot, C. VSURF: An R Package for Variable Selection Using Random Forests. (2015).
Speiser, J. L., Miller, M. E., Tooze, J. & Ip, E. A comparison of randomForest variable selection methods for classification prediction modeling. Expert Syst. Appl. 134, 93–101 (2019).
Kuhn, M. et al. Package ‘caret’. R J. 223, (2020).
Abatzoglou, J. T. Development of gridded surface meteorological data for ecological applications and modelling. Int. J. Climatol. 33, 121–131 (2013).
Ji, D. et al. Description and basic evaluation of Beijing Normal University Earth System Model (BNU-ESM) version 1. Geosci. Model Dev. 7, 2039–2064 (2014).
You, C., Hou, M. & Duan, W. Why does there occur spring predictability barrier for eastern Pacific El Niño but summer predictability barrier for central Pacific El Niño? Clim. Dyn. (2024) https://doi.org/10.1007/s00382-024-07429-2.
Vinod, D. & Agilan, V. Ranking of CMIP 6 climate models in simulating precipitation over India. Acta Geophys 72, 3703–3717 (2024).
Osipov, A. & Gushchina, D. The heat budget of the tropical Pacific mixed layer during two types of El Niño based on reanalysis and global climate model data. Atmosphere (Basel) (2023) https://doi.org/10.3390/atmos15010047.
Chylek, P., Li, J., Dubey, M. K., Wang, M. & Lesins, G. Observed and model simulated 20th century Arctic temperature variability: Canadian Earth System Model CanESM2. Atmos. Chem. Phys. Discuss. 11, 22893–22907 (2011).
Lawrence, D. M. et al. The CCSM4 land simulation, 1850–2005: Assessment of surface climate and new capabilities. J. Clim. 25, 2240–2260 (2012).
da Silva, V. et al. Modeling future carbon stock in melon cultivation agroecosystems under different climate scenarios. Revista Brasileira de Ciências Ambientais (RBCIAMB) 59, e1729–e1729 (2024).
Crookston, N. L. Plant Species and Climate Profile Predictions. http://charcoal.cnre.vt.edu/climate/species/ (2012).
Monahan, W. B., Cook, T., Melton, F., Connor, J. & Bobowski, B. Forecasting distributional responses of limber pine to climate change at management-relevant scales in Rocky Mountain National Park. PLoS One 8, e83163 (2013).
Fryer, J. L. Tree species distribution maps from Little’s‘ Atlas of United States trees’ series. USDA Forest Service (2018).
Keane, R. E., Holsinger, L. M., Mahalovich, M. F. & Tomback, D. F. Restoring Whitebark Pine Ecosystems in the Face of Climate Change. https://research.fs.usda.gov/treesearch/download/54577.pdf (2017) https://doi.org/10.2737/rmrs-gtr-361.
Whitebark Pine Ecosystem Foundation. Whitebark pine and limber pine range maps. (2014).
Malone, S. L. et al. RustMapper: White Pine Blister Rust Risk in the Western United States, 2030-2099 ver 1. Environmental Data Initiative (2026).
Ruaro, R., Gubiani, ÉA. & Hughes, R. M. Omernik’s ecoregion framework: A legacy for understanding regional patterns in attainable resource quality. Environ. Manage. 73, 354–364 (2024).
EPA. Ecoregions of the continental United States. Ecoregions of the continental United States U.S. EPA (2013).
Hijmans, R. J. Spatial Data Analysis: R Package Terra Version 1.7. (Comprehensive R Archive Network (CRAN), 2023).
Wickham, H. ggplot2: Elegant Graphics for Data Analysis. (Springer-Verlag New York, 2016).
Malone, S. L. et al. RustMapper: White Pine Blister Rust Risk in the Western United States. Environmental Data Initiative. https://doi.org/10.6073/pasta/677bc02adfe51760f752494cac74d11e (2026).
