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Geographically variable response of Dendroctonus ponderosae to winter warming in the western United States

Landscape Ecology volume 30, pages 1075–1093 (2015)Cite this article

Abstract

Context

Milder winters have contributed to recent outbreaks of Dendroctonus ponderosae in Canada, but have not been evaluated as a factor permitting concurrent outbreaks across its large range (ca.1500 × 1500 km) in the western United States (US).

Objectives

We examined the trend in minimum air temperatures in D. ponderosae habitats across the western US and assessed whether warming winters explained the occurrence of outbreaks using physiological and population models.

Methods

We used climate data to analyze the history of minimum air temperatures and reconstruct physiological effects of cold on D. ponderosae. We evaluated relations between winter temperatures and beetle abundance using aerial detection survey data.

Results

Extreme winter temperatures have warmed by about 4 °C since 1960 across the western US. At the broadest scale, D. ponderosae population dynamics between 1997 and 2010 were unrelated to variation in minimum temperatures, but relations between cold and D. ponderosae dynamics varied among regions. In the 11 coldest ecoregions, lethal winter temperatures have become less frequent since the 1980s and beetle-caused tree mortality increased—consistent with the climatic release hypothesis. However, in the 12 warmer regions, recent epidemics cannot be attributed to warming winters because earlier winters were not cold enough to kill D. ponderosae.

Conclusions

There has been pronounced warming of winter temperatures throughout the western US, and this has reduced previous constraints on D. ponderosae abundance in some regions. However, other considerations are necessary to understand the broad extent of recent D. ponderosae epidemics in the western US.

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References

  • Altwegg R, Dummermuth S, Anholt BR (2005) Winter weather affects asp viper Vipera aspis population dynamics through susceptible juveniles. Oikos 110:55–66

    Article  Google Scholar 

  • Altwegg R, Roulin A, Kestenholz M, Jenni L (2006) Demographic effects of extreme winter weather in the barn owl. Oecologia 149:44–51

  • Alward R, Detling J, Milchunas D (1999) Grassland vegetation changes and nocturnal global warming. Science 283:229–231

    Article  CAS  PubMed  Google Scholar 

  • Amman GD (1973) Population changes of the mountain pine beetle in relation to elevation. Environ Entomol 2:541–547

    Article  Google Scholar 

  • Aukema BH, Carroll AL, Zhu J, Raffa KF, Sickley TA, Taylor SW  (2006) Landscape level analysis of mountain pine beetle in British Columbia, Canada: spatiotemporal development and spatial synchrony within the present outbreak. Ecography 29:427–441

  • Aukema BH, Carroll AL, Zheng Y, Zhu J, Raffa KF, Dan Moore R, Stahl K, Taylor SW (2008) Movement of outbreak populations of mountain pine beetle: influences of spatiotemporal patterns and climate. Ecography 31:348–358

  • Axelson JN, Alfaro RI, Hawkes BC (2009) Influence of fire and mountain pine beetle on the dynamics of lodgepole pine stands in British Columbia, Canada. For Ecol Manag 257:1874–1882

    Article  Google Scholar 

  • Bale JS, Masters GJ, Hodkinson ID, Awmack C, Bezemer TM, Brown VK, Butterfield J, Buse A, Coulson JC, Farrar J, Good J, Harrington R, Hartley S, Jones TH, Lindroth RL, Press MC, Symrnioudis I, Watt AD, Whittaker JB (2002) Herbivory in global climate change research: direct effects of rising temperature on insect herbivores. Global Change Biol 8:1–16

  • Battisti A, Stastny M, Netherer S (2005) Expansion of geographic range in the pine processionary moth caused by increased winter temperatures. Ecol Appl 15:2084–2096

    Article  Google Scholar 

  • Bentz BJ, Mullins DE (1999) Ecology of mountain pine beetle (Coleoptera: Scolytidae) cold hardening in the Intermountain West. Environ Entomol 28:577–587

    Article  Google Scholar 

  • Bentz BJ, Logan JA, Vandygriff JC (2001) Latitudinal variation in Dendroctonus ponderosae (Coleoptera: Scolytidae) development time and adult size. Can Entomol 133:375–387

    Article  Google Scholar 

  • Bentz BJ, Régnière J, Fettig CJ, Hansen EM, Hayes JL, Hicke JA, Kelsey RG, Negrón JF, Seybold SJ  (2010) Climate change and bark beetles of the western United States and Canada: Direct and indirect effects. Bioscience 60:602–613

  • Bentz B, Campbell E, Gibson K, Kegley S, Logan J, Six D (2011a) Mountain pine beetle in high-elevation five-needle white pine ecosystems. In: Keane RE, Tomback DF, Murray MP, Smith CM (eds) The future of high-elevation, five-needle white pines in Western North America: Proceedings of the High Five Symposium, June 28-30 2010, Missoula, MT, USDA Forest Service, Rocky Mountain Research Station Report RMRS-P-63. Fort Collins, CO, pp 78–84

  • Bentz BJ, Bracewell RR, Mock KE, Pfrender ME (2011b) Genetic architecture and phenotypic plasticity of thermally-regulated traits in an eruptive species, Dendroctonus ponderosae. Evol Ecol 25:1269–1288

  • Bentz BJ, Vandygriff JC, Jensen C, Coleman T, Maloney P, Smith S, Grady A, Schen-Langenheim G (2014) Mountain pine beetle voltinism and life history characteristics across latitudinal and elevational gradients in the western United States. For Sci 60:434–449

  • Berryman AA (1976) Theoretical explanation of mountain pine beetle dynamics in lodgepole pine forests. Environ Entomol 5:1225–1233

    Article  Google Scholar 

  • Berryman AA (2003) On principles, laws and theory in population ecology. Oikos 103:695–701

    Article  Google Scholar 

  • Beyer HL (2012) Geospatial Modeling Environment (Version 0.7.1.0). Available from http://www.spatialecology.com/gme. Accessed March 2013

  • Bolstad PV, Bentz BJ, Logan JA (1997) Modelling micro-habitat temperature for Dendroctonus ponderosae (Coleoptera: Scolytidae). Ecol Model 94:287–297

    Article  Google Scholar 

  • Bone C, White J, Wulder M, Robertson C, Nelson T (2013) Impact of forest fragmentation on patterns of mountain pine beetle-caused tree mortality. Forests 4:279–295

  • Boone CK, Aukema BH, Bohlmann J, Carroll AL, Raffa KF (2011) Efficacy of tree defense physiology varies with bark beetle population density: a basis for positive feedback in eruptive species. Can J For Res 41:1174–1188

  • Buckley LB, Kingsolver J (2012) Functional and phylogenetic approaches to forecasting species’ responses to climate change. Annu Rev Ecol Syst 43:205–226

    Article  Google Scholar 

  • Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer Verlag, New York

    Google Scholar 

  • Campbell EM, Alfaro RI, Hawkes B (2007) Spatial distribution of mountain pine beetle outbreaks in relation to climate and stand characteristics: a dendroecological analysis. J Integr Plant Biol 49:168–178

    Article  Google Scholar 

  • Carroll AL, Taylor SW, Régnière J, Safranyik L (2004) Effect of climate change on range expansion by the mountain pine beetle in British Columbia. In: Shore TL, Brooks JE, Shore JE (eds), Proceedings of the mountain pine beetle symposium: challenges and solutions, 30-31 Oct. 2003, Kelowna, BC, Information Report BC-X-399, Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, pp 223–232

  • Chapman TB, Veblen TT, Schoennagel T (2012) Spatiotemporal patterns of mountain pine beetle activity in the southern Rocky Mountains. Ecology 93:2175–2185

    Article  PubMed  Google Scholar 

  • Chen H, Walton A (2011) Mountain pine beetle dispersal: spatiotemporal patterns and role in the spread and expansion of the present outbreak. Ecosphere 2:1–17

    Article  Google Scholar 

  • Christensen JH, Hewitson B, Busuioc A, Chen A, Gao X, Held R, Jones R, Kolli RK, Kwon WK, Laprise R, Rueda VM, Mearns L, Menendez CG, Raisanen J, Rinke A, Sarr A, Whetton P (2007) Regional climate projections. In: Solomon S, Qin SD, Manning M, Chen Z, Marquis M, Averyt KB, Tignor M, Miller HL (eds), Climate Change, 2007: The Physical Science Basis. Contribution of Working group I to the Fourth Assessment Report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge, pp 847–940

  • Cole WE (1981) Some risks and causes of mortality in mountain pine-beetle populations - a long-term analysis. Res Popul Ecol 23:116–144

    Article  Google Scholar 

  • Coulson T, Catchpole EA, Albon SD, Morgan BJ, Pemberton JM, Clutton-Brock TH, Crawley MJ, Grenfell BT (2001) Age, sex, density, winter weather, and population crashes in Soay sheep. Science 292:1528–1531

  • Crozier L (2004) Warmer winters drive butterfly range expansion by increasing survivorship. Ecology 85:231–241

    Article  Google Scholar 

  • Cudmore TJ, Bjorklund N, Carroll AL, Lindgren BS (2010) Climate change and range expansion of an aggressive bark beetle: evidence of higher beetle reproduction in naive host tree populations. J Appl Ecol 47:1036–1043

  • Daly C, Widrlechner MP, Halbleib MD, Smith JI, Gibson WP (2012) Development of a new USDA plant hardiness zone map for the United States. J Appl Meteor Climatol 51:242–264

  • de la Giroday H-MC, Carroll AL, Aukema BH (2012) Breach of the northern Rocky Mountain geoclimatic barrier: initiation of range expansion by the mountain pine beetle. J Biogeogr 39:1112–1123

    Article  Google Scholar 

  • Deutsch CA, Tewksbury JJ, Huey RB, Sheldon KS, Ghalambor CK, Haak DC, Martin PR (2008) Impacts of climate warming on terrestrial ectotherms across latitude. Proc Natl Acad Sci U S A 105:6668–6672

  • Donat MG, Alexander LV, Yang H, Durre I, Vose R, Dunn RJH, Willett KM, Aguilar E, Brunet M, Caesar J, Hewitson B, Jack C, Tank AMGK, Kruger AC, Marengo J, Peterson TC, Renom M, Oria Rojas C, Rusticucci M, Salinger J, Elrayah AS, Sekele SS, Srivastava AK, Trewin B, Villarroel C, Vincent LA, Zhai P, Zhang X, Kitching S (2013) Updated analyses of temperature and precipitation extreme indices since the beginning of the twentieth century: the HadEX2 dataset. J Geophys Res-Atmos 118:2098–2118

  • Edburg SL, Hicke JA, Brooks PD (2012) Cascading impacts of bark beetle-caused tree mortality on coupled biogeophysical and biogeochemical processes. Front Ecol Environ 10:416–424

    Article  Google Scholar 

  • Edgell DJ (1994) Extreme minimum winter temperatures in Ohio. Ohio J Sci 94:41–54

    Google Scholar 

  • Evenden JC, Gibson AL (1940) A destructive infestation in lodgepole pine stands by the mountain pine beetle. J Forestry 38:271–275

    Google Scholar 

  • Fettig CJ, Gibson KE, Munson AS, Negron JF (2014) Cultural practices for prevention and mitigation of mountain pine beetle infestations. For Sci. doi:10.5849/forsci.13-032

  • Fischer EM, Beyerle U, Knutti R (2013) Robust spatially aggregated projections of climate extremes. Nat Clim Change 3:1033–1038

    Article  Google Scholar 

  • Frazier MR, Huey RB, Berrigan D (2006) Thermodynamics constrains the evolution of insect population growth rates: “warmer is better”. Am Nat 168:512–520

    Article  CAS  PubMed  Google Scholar 

  • Friedenberg NA, Sarkar S, Kouchoukos N, Billings RF, Ayres MP (2008) Temperature extremes, density dependence, and southern pine beetle (Coleoptera: Curculionidae) population dynamics in east Texas. Environ Entomol 37:650–659

  • Gayathri Samarasekera GDN, Bartell NV, Lindgren BS, Cooke JEK, Davis CS, James PMA, Coltman DW, Mock KE, Murray BW (2012) Spatial genetic structure of the mountain pine beetle (Dendroctonus ponderosae) outbreak in western Canada: historical patterns and contemporary dispersal. Mol Ecol 21:2931–2948

  • Hicke JA, Logan JA, Powell J, Ojima DS (2006) Changing temperatures influence suitability for modeled mountain pine beetle (Dendroctonus ponderosae) outbreaks in the western United States. J Geophys Res 111:G02019

  • Jenkins J, Powell JA, Logan JA, Bentz BJ  (2001) Low Seasonal Temperatures Promote Life Cycle Synchronization. Bull Math Biol 63:573–595

  • Jepsen J, Hagen S, Ims R (2008) Climate change and outbreaks of the geometrids Operophtera brumata and Epirrita autumnata in subarctic birch forest: evidence of a recent outbreak range expansion. J Anim Ecol 77:257–264

    Article  PubMed  Google Scholar 

  • Jung H-S, Choi Y, Oh J-H, Lim G-H (2002) Recent trends in temperature and precipitation over South Korea. Int J Climatol 22:1327–1337

  • Keen FP, Furniss RL (1937) Effects of subzero temperatures on populations of western pine beetle Dendroctonus brevicomis Lee. J Econ Entomol 30:482–504

    Article  Google Scholar 

  • Kinloch BB (2003) White pine blister rust in North America: past and prognosis. Phytopathology 93:1044–1047

    Article  PubMed  Google Scholar 

  • Lee RE (2010) A primer on insect cold-tolerance. In: Denlinger DL, Lee RE (eds) Low temperature biology of insects. Cambridge University Press, CambridgeK, pp 3–35

    Chapter  Google Scholar 

  • Lester JD, Irwin JT (2012) Metabolism and cold tolerance of overwintering adult mountain pine beetles (Dendroctonus ponderosae): evidence of facultative diapause? J Insect Physiol 58:808–815

    Article  CAS  PubMed  Google Scholar 

  • Liebhold AM, Koenig W, Bjørnstad ON (2004) Spatial synchrony in population dynamics. Annu Rev Ecol Evol Syst 35:467–490

    Article  Google Scholar 

  • Logan JA, Powell JA (2001) Ghost forests, global warming, and the mountain pine beetle (Coleoptera:Scolytidae). Am Entomol 47:160–173

    Article  Google Scholar 

  • Logan JA, Macfarlane WW, Willcox L (2010) Whitebark pine vulnerability to climate-driven mountain pine beetle disturbance in the Greater Yellowstone Ecosystem. Ecol Appl 20:895–902

    Article  PubMed  Google Scholar 

  • Luterbacher J, Dietrich D, Xoplaki E, Grosjean M, Wanner H (2004) European seasonal and annual temperature variability, trends, and extremes since 1500. Science 303:1499–1503

  • Macias Fauria M, Johnson EA (2009) Large-scale climatic patterns and area affected by mountain pine beetle in British Columbia. Canada. J Geophys Res 114:G01012

    Google Scholar 

  • MacQuarrie CJK, Cooke BJ (2011) Density-dependent population dynamics of mountain pine beetle in thinned and unthinned stands. Can J For Res 41:1031–1046

    Article  Google Scholar 

  • Martinson SJ, Ylioja T, Sullivan BT, Billings RF, Ayres MP (2013) Alternate attractors in the population dynamics of a tree-killing bark beetle. Popul Ecol 55:95–106

  • Meddens AJH, Hicke JA, Ferguson CA (2012) Spatiotemporal patterns of observed bark beetle-caused tree mortality in British Columbia and the western United States. Ecol Appl 22:1876–1891

    Article  PubMed  Google Scholar 

  • Mock KE, Bentz BJ, O’Neill EM, Chong JP, Orwin J, Pfrender ME (2007) Landscape-scale genetic variation in a forest outbreak species, the mountain pine beetle (Dendroctonus ponderosae). Mol Ecol 16:553–568

  • Mora C, Frazier AG, Longman RJ, Dacks RS, Walton MM, Tong EJ, Sanchez JJ, Kaiser LR, Stender YO, Anderson JM, Ambrosino CM, Fernandez-Silva I, Giuseffi LM, Giambelluca TW (2013) The projected timing of climate departure from recent variability. Nature 502:183–187

  • Moran P (1953) The statistical analysis of the Canadian lynx cycle. 2. Synchronization and meteorology. Aust J Zool 1:291–298

    Article  Google Scholar 

  • Morris RF (1959) Single-factor analysis in population dynamics. Ecology 40:580–588

    Article  Google Scholar 

  • Økland B, Berryman AA (2004) Resource dynamic plays a key role in regional fluctuations of the spruce bark beetles Ips typographus. Agric For Entomol 6:141–146

    Article  Google Scholar 

  • Omernik JM (2004) Perspectives on the nature and definition of ecological regions. Environ Manag 34:S27–S38

    Article  Google Scholar 

  • Paradis A, Elkinton J, Hayhoe K (2008) Role of winter temperature and climate change on the survival and future range expansion of the hemlock woolly adelgid (Adelges tsugae) in eastern North America. Mitigation Adapt Strateg Glob Chang 13:541–554

    Article  Google Scholar 

  • Peet RK (2000) Forests and meadows of the Rocky Mountains. In: Barbour MG, Billings WD (eds) North American terrestrial vegetation. Cambridge University Press, New York, pp 75–122

    Google Scholar 

  • Powell JA, Bentz BJ (2009) Connecting phenological predictions with population growth rates for mountain pine beetle, an outbreak insect. Landscape Ecol 24:657–672

    Article  Google Scholar 

  • Powell JA, Bentz BJ (2014) Phenology and density-dependent dispersal predict patterns of mountain pine beetle (Dendroctonus ponderosae) impact. Ecol Model 273:173–185

    Article  Google Scholar 

  • Preisler HK, Hicke JA, Ager A, Hayes JL  (2012) Climate and weather influences on spatial temporal patterns of mountain pine beetle populations in Washington and Oregon. Ecology 93:2421–2434

  • Raffa KF, Berryman AA (1986) A mechanistic computer model of mountain pine beetle populations interacting with lodgepole pine stands and its implications for forest managers. For Sci 32:789–805

    Google Scholar 

  • Raffa KF, Aukema BH, Bentz BJ, Carroll AL, Hicke JA, Turner MG, Romme WH (2008) Cross-scale drivers of natural disturbances prone to anthropogenic amplification: the dynamics of bark beetle eruptions. Bioscience 58:501–517

  • Régnière J (1996) Generalized approach to landscape-wide seasonal forecasting with temperature-driven simulation models. Environ Entomol 25:869–881

    Article  Google Scholar 

  • Régnière J, Bentz BJ (2007) Modeling cold tolerance in the mountain pine beetle, Dendroctonus ponderosae. J Insect Physiol 53:559–572

    Article  PubMed  Google Scholar 

  • Régnière J, St-Amant R (2007) BioSIM 9 user’s manual. Information Report LAU-X-129. Natural Resources Canada, Canadian Forest Service, Laurentian Forestry Centre, Quebec, Canada

  • Robinet C, Roques A (2010) Direct impacts of recent climate warming on insect populations. Integr Zool 5:132–142

    Article  PubMed  Google Scholar 

  • Royama T (1992) Analytical population dynamics. Chapman & Hall, London

    Book  Google Scholar 

  • Ruefenacht B, Finco MV, Nelson MD, Czaplewsk R, Helmer EH, Blackard JA, Holden GR, Lister AJ, Salajanu D, Weyermann D, Winterberger K (2008) Conterminous U.S. and Alaska forest type mapping using forest inventory and analysis data. USDA Forest Service, Forest Inventory and Analysis, Arlington, VA

  • Sæther BE, Engen S, Matthysen E (2002) Demographic characteristics and population dynamical patterns of solitary birds. Science 295:2070–2073

    Article  PubMed  Google Scholar 

  • Safranyik L (1978) Effects of climate and weather on mountain pine beetle populations. In: Kibbee DL, Berryman AA, Amman GD, Stark RW (eds), Proceedings of Symposium on theory and practice of mountain pine beetle management in lodgepole pine forests, 25–27 April 1978, Pullman, Washington University of Idaho, Moscow, Idaho and USDA Forest Service, Odgen, UT, Washington State University, Pullman, Washington, pp 77–86

  • Safranyik L, Carroll AL (2006) The biology and epidemiology of the mountain pine beetle in lodgepole pine forests. In: Safranyik L, Wilson WR (eds) The mountain pine beetle: a synthesis of biology, management, and impacts on lodgepole pine. Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, Victoria, pp 3–66

    Google Scholar 

  • Safranyik L, Linton DA (1991) Unseasonably low fall and winter temperatures affecting mountain pine beetle and pine engraver beetle populations and damage in the British Columbia Chilcotin Region. J Entomol Soc BC 88:17–21

    Google Scholar 

  • Safranyik L, Linton DA (1998) Mortality of mountain pine beetle larvae, Dendroctonus ponderosae (Coleoptera: Scolytidae) in logs of lodgepole pine (Pinus contorta var. latifolia) at constant low temperatures. J Entomol Soc B C 95:81–87

    Google Scholar 

  • Safranyik L, Carroll AL, Regniere J, Langor DW, Riel WG, Shore TL, Peter B, Cooke BJ, Nealis VG, Taylor SW (2010) Potential for range expansion of mountain pine beetle into the boreal forest of North America. Can Entomol 142:415–442

  • Sambaraju KR, Carroll AL, Zhu J, Stahl K, Moore RD, Aukema BH (2012) Climate change could alter the distribution of mountain pine beetle outbreaks in western Canada. Ecography 35:211–223

  • Somme L (1964) Effects of glycerol on cold-hardiness in insects. Can J Zool 42:87–101

    Article  Google Scholar 

  • Somme L (1982) Supercooling and winter survival in terrestrial arthropods. Comp Biochem Physiol 73:519–543

    Article  Google Scholar 

  • Taylor SW, Carroll AL (2004) Disturbance, forest age, and mountain pine beetle outbreak dynamics in BC: A historical perspective. In: Shore TL, Brooks JE, Stone JE (eds), Proceedings of the mountain pine beetle symposium: challenges and solutions, 30–31 Oct. 2003, Kelowna, BC, Information Report BC-X-399, Natural Resources Canada, Canadian Forest Service, Pacific Forestry Centre, pp 67–94

  • Thomas CD, Cameron A, Green RE, Bakkenes M, Beaumont LJ, Collingham YC, Erasmus BFN, De Siqueira MF, Grainger A, Hannah L, Hughes L, Huntley B, Van Jaarsveld AS, Midgley GF, Miles L, Ortega-Huerta MA, Peterson AT, Phillips OL, Williams SE (2004) Extinction risk from climate change. Nature 427:145–148

  • Tran JK, Ylioja T, Billings RF, Régnière J, Ayres MP (2007) Impact of minimum winter temperatures on the population dynamics of Dendroctonus frontalis. Ecol Appl 17:882–899

  • Valtonen A, Leinonen R, Pöyry J, Roininen H, Tuomela J, Ayres MP (2014) Is climate warming more consequential towards poles? The phenology of Lepidoptera in Finland. Global Change Biol 20:16–27

  • Varley GC, Gradwell GR, Hassell MP (1973) Insect population ecology. Blackwell, Oxford

    Google Scholar 

  • Vose RS, Easterling DR, Gleason B (2005) Maximum and minimum temperature trends for the globe: an update through 2004. Geophys Res Lett. doi:10.1029/2005GL024379

    Google Scholar 

  • Weed AS, Ayres MP, Hicke JA (2013) Consequences of climate change for biotic disturbances in North American forests. Ecol Monogr 83:441–470

    Article  Google Scholar 

  • Zuur A, Ieno EN, Walker N, Saveliev AA, Smith GM (2009) Mixed effects models and extensions in ecology with R. Springer, New York

Download references

Acknowledgments

We thank Jim Vandygriff for querying damage data from the main ADS database and Jacques Régnière for the BioSIM temperature database. Helpful comments were provided from Sandy Liebhold. Funding was provided by a cooperative agreement with the Southern Research Station (USDA Forest Service) to M.P.A.

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Authors and Affiliations

  1. Department of Biological Sciences, Dartmouth College, Hanover, NH, 03755, USA

    Aaron S. Weed & Matthew P. Ayres

  2. USDA Forest Service, Rocky Mountain Research Station, 860 N. 1200 East, Logan, UT, 84321, USA

    Barbara J. Bentz

  3. USDA Forest Service, Southern Research Station, 3041 Cornwallis Road, Research Triangle Park, NC, 27709, USA

    Thomas P. Holmes

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  1. Aaron S. Weed
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Correspondence to Aaron S. Weed.

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Weed, A.S., Bentz, B.J., Ayres, M.P. et al. Geographically variable response of Dendroctonus ponderosae to winter warming in the western United States. Landscape Ecol 30, 1075–1093 (2015). https://doi.org/10.1007/s10980-015-0170-z

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