Local colonization-extinction dynamics of a tree-killing bark beetle during a large-scale outbreak

Ecosphere

Volumn 7, Issue 3, 2016, Pages

  Karvemo S ^a   Johansson, V ^a   Schroeder, M ^a   Ranius, T ^a  

^a SWEDISH UNIVERSITY OF AGRICULTURAL SCIENCES   (Sweden)

Author keywords

Connectivity; Forest insect pest; Ips typographus; Landscape; Metapopulation; Nonhost volatiles; Norway spruce; Spatial dynamics

Indexed keywords

EID: 84963830351     PISSN: None     EISSN: 21508925     Source Type: Journal    
DOI: 10.1002/ecs2.1257     Document Type: Article

References (75)

1. Andersson, P., C. Löfstedt, and P. A. Hambäck. 2013. Insect density-plant density relationships: a modified view of insect responses to resource concentrations. Oecologia 173:1333-1344.
2. Annila, E. 1969. Influence of temperature upon the development and voltinism of Ips typographus L. (Coleoptera Scolytidae). Annales Zoologici Fennici 6:161-208.
3. Ayres, M. P., S. J. Martinson, and N. A. Friedenberg. 2011. Southern pine beetle ecology: populations within stands. Pages 75-89 in R. N. Coulson, and K. D. Klepzig, editors. The southern pine beetle encyclopedia. USDA Forest Service, Southern Research Station, North Carolina, Asheville, USA.
4. Birgersson, G., F. Schlyter, J. Löfqvist, and G. Bergström. 1984. Quantitative variation of pheromone components in the spruce bark beetle Ips typographus from different attack phases. Journal of Chemical Ecology 10:1029-1055.
5. Bone, C., M. A. Wulder, J. C. White, C. Robertson, and T. A. Nelson. 2013. A GIS-based risk rating of forest insect outbreaks using aerial overview surveys and the local Moran's I statistic. Applied Geography 40:161-170.
6. Boone, C. K., B. H. Aukema, J. Bohlmann, A. L. Carroll, and K. F. Raffa. 2011. Efficacy of tree defense physiology varies with bark beetle population density: a basis for positive feedback in eruptive species. Canadian Journal of Forest Research 41:1174-1188.
7. Borden, J. H., I. M. Wilson, R. Gries, L. J. Chong, H. D. Jr Pierce, and G. Gries. 1998. Volatiles from the bark of trembling aspen Populus tremuloides Michx. (Salicaceae) disrupt secondary attraction by the mountain pine beetle Dendroctonus ponderosae Hopkins (Coleoptera: Scolytidae). Chemoecology 8:69-75.
8. Botterweg, P. F. 1982. Dispersal and flight behaviour of the spruce bark beetle Ips typographus in relation to sex, size and fat content. Zeitschrift für Angewandte Entomologie 94:466-489.
9. Byers, J. A. 1995. Host-tree chemistry affecting colonization in bark beetles. Pages 154-213 in R. T. Cardé, and W. J. Bell, editors. Chemical ecology of insects II. Springer, New York, New York, USA.
10. Byers, J. A., Q. H. Zhang, F. Schlyter, and G. Birgersson. 1998. Volatiles from non-host birch trees inhibit pheromone response in spruce bark beetles. Naturwissenschaften 85:557-561.
11. Chapman, T. B., T. T. Veblen, and T. Schoennagel. 2012. Spatiotemporal patterns of mountain pine beetle activity in the southern Rocky Mountains. Ecology 93:2175-2185.
12. Colombari, F., L. M. Schroeder, A. Battisti, and M. Faccoli. 2013. Spatio-temporal dynamics of an Ips acuminatus outbreak and implications for management. Agricultural and Forest Entomology 15:34-42.
13. DeRose, R. J., and J. N. Long. 2012. Factors influencing the spatial and temporal dynamics of Engelmann spruce mortality during a spruce beetle outbreak on the Markagunt plateau, Utah. Forest Science 58:1-14.
14. Dormann, C. F., et al. 2013. Collinearity: a review of methods to deal with it and a simulation study evaluating their performance. Ecography 36:27-46.
15. Eber, S., and R. Brandl. 1996. Metapopulation dynamics of the Tephritid fly Urophora cardui: an evaluation of incidence-function model assumptions with field data. Journal of Animal Ecology 65:621-630.
16. Eriksson, M., S. Neuvonen, and H. Roininen. 2008. Ips typographus (L.) attack on patches of felled trees: "Wind-felled" vs. cut trees and the risk of subsequent mortality. Forest Ecology and Management 255:1336-1341.
17. Fedrowitz, K., M. Kuusinen, and T. Snäll. 2012. Metapopulation dynamics and future persistence of epiphytic cyanolichens in a European boreal forest ecosystem. Journal of Applied Ecology 49:493-502.
18. Fleishman, E., C. Ray, P. Sjögren-Gulve, C. L. Boggs, and D. D. Murphy. 2002. Assessing the roles of patch quality area and isolation in predicting metapopulation dynamics. Conservation Biology 16:706-716.
19. Forsse, E., and C. Solbreck. 1985. Migration in the bark beetle Ips typographus L.: duration timing and height of flight. Zeitschrift für Angewandte Entomologie 100:47-57.
20. Franzén, M., and S. G. Nilsson. 2010. Both population size and patch quality affect local extinctions and colonizations. Proceedings of the Royal Society of London B Biological Sciences 277:79-85.
21. Gray, D. R. 2004. The gypsy moth life stage model: landscape-wide estimates of gypsy moth establishment using a multi-generational phenology model. Ecological Modelling 176:155-171.
22. Grégoire, J., and H. Evans. 2004. Damage and control of BAWBILT organisms, an overview. Pages 19-37 in F. Lieutier, K. R. Day, A. Battisti, J.-C. Grégoire, and H. F. Evans, editors. Bark and wood boring insects in living trees in Europe: a synthesis. Kluwer Academic Publishers, Dordrecht, The Netherlands.
23. Grevstad, F. S., and A. L. Herzig. 1997. Quantifying the effects of distance and conspecifics on colonization: experiments and models using the loosestrife leaf beetle. Galerucella calmariensis. Oecologia 110:60-68.
24. Grünwald, M. 1986. Ecological segregation of bark beetles (Coleoptera Scolytidae) of spruce. Journal of Applied Entomology 101:176-187.
25. Gustafson, E. J., and R. H. Gardner. 1996. The effect of landscape heterogeneity on the probability of patch colonization. Ecology 77:94-107.
26. Hanski, I. 1998. Metapopulation dynamics. Nature 39:41-49.
27. Hedden, R. L., and R. F. Billings. 1979. Southern pine beetle: factors influencing the growth and decline of summer infestations in east Texas. Forest Science 25:547-556.
28. Hedgren, P. O., L. M. Schroeder, and J. Weslien. 2003. Tree killing by Ips typographus (Coleoptera: Scolytidae) at stand edges with and without colonized felled spruce trees. Agricultural and Forest Entomology 5:67-74.
29. Jactel, H., and E. G. Brockerhoff. 2007. Tree diversity reduces herbivory by forest insects. Ecology Letters 10:835-848.
30. Jactel, H., I. Van Halder, P. Menassieu, Q. H. Zhang, and F. Schlyter. 2001. Non-host volatiles disrupt the response of the stenographer bark beetle Ips sexdentatus (Coleoptera: Scolytidae) to pheromone-baited traps and maritime pine logs. Integrated Pest Management Reviews 6:197-207.
31. Jepsen, J. U., S. B. Hagen, K. A. Høgda, R. A. Ims, S. R. Karlsen, H. Tømmervik, and N. G. Yoccoz. 2009. Monitoring the spatio-temporal dynamics of geometrid moth outbreaks in birch forest using MODIS-NDVI data. Remote Sensing of Environment 113:1939-1947.
32. Johansson, V., T. Snäll, and T. Ranius. 2013. Estimates of connectivity reveal non-equilibrium epiphyte occurrence patterns almost 180 years after habitat decline. Oecologia 172:607-615.
33. Kärvemo, S., and L. M. Schroeder. 2010. A comparison of outbreak dynamics of the spruce bark beetle in Sweden and the mountain pine beetle in Canada (Curculionidae: Scolytinae). Entomologisk Tidskrift 131:215-242.
34. Kärvemo, S., T. P. Van Boeckel, M. Gilbert, J. C. Grégoire, and M. Schroeder. 2014. Large-scale risk mapping of an eruptive bark beetle - importance of forest susceptibility and beetle pressure. Forest Ecology and Management 318:158-166.
35. Kausrud, K., B. Økland, O. Skarpaas, J. C. Grégoire, N. Erbilgin, and N. C. Stenseth. 2012. Population dynamics in changing environments: the case of an eruptive forest pest species. Biological Reviews 87:34-51.
36. Kautz, M., K. Dworschak, A. Gruppe, and R. Schopf. 2011. Quantifying spatio-temporal dispersion of bark beetle infestations in epidemic and non-epidemic conditions. Forest Ecology and Management 262:598-608.
37. Lande, R. 1998. Anthropogenic, ecological and genetic factors in extinction and conservation. Researches on Population Ecology 40:259-269.
38. Maron, J. L., and S. Harrison. 1997. Spatial pattern formation in an insect host-parasitoid system. Science 278:1619-1621.
39. Mulock, P., and E. Christiansen. 1986. The threshold of successful attack by Ips typographus on Picea abies: a field experiment. Forest Ecology and Management 14:125-132.
40. Nelson, W. A., and M. A. Lewis. 2008. Connecting host physiology to host resistance in the conifer-bark beetle system. Theoretical Ecology 1:163-177.
41. Netherer, S., and U. Nopp-Mayr. 2005. Predisposition assessment systems (PAS) as supportive tools in forest management-rating of site and stand-related hazards of bark beetle infestation in the High Tatra Mountains as an example for system application and verification. Forest Ecology and Management 207:99-107.
42. Netherer, S., et al. 2015. Do water-limiting conditions predispose Norway spruce to bark beetle attack? New Phytologist 205:1128-1141.
43. Öhrn, P., B. Långström, Å. Lindelöw, and N. Björklund. 2014. Seasonal flight patterns of Ips typographus in southern Sweden and thermal sums required for emergence. Agricultural and Forest Entomology 16:147-157.
44. Ovaskainen, O., M. Luoto, I. Ikonen, H. Rekola, E. Meyke, and M. Kuussaari. 2008. An empirical test of a diffusion model: predicting clouded Apollo movements in a novel environment. American Naturalist 171:610-619.
45. Overbeck, M., and M. Schmidt. 2012. Modelling infestation risk of Norway spruce by Ips typographus (L.) in the Lower Saxon Harz Mountains (Germany). Forest Ecology and Management 266:115-125.
46. Peltonen, M. 1999. Windthrows and dead-standing trees as bark beetle breeding material at forest-clearcut edge. Scandanavian Journal of Forest Research 14:505-511.
47. Peltonen, M., A. M. Liebhold, O. N. Bjørnstad, and D. W. Williams. 2002. Spatial synchrony in forest insect outbreaks: roles of regional stochasticity and dispersal. Ecology 83:3120-3129.
48. Powell, J. A., and B. J. Bentz. 2014. Phenology and density-dependent dispersal predict patterns of mountain pine beetle Dendroctonus ponderosae impact. Ecological Modelling 273:173-185.
49. R Development Core Team. 2012. R: a language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria.
50. Radeloff, V. C., D. J. Mladenoff, and M. S. Boyce. 2000. Effects of interacting disturbances on landscape patterns: budworm defoliation and salvage logging. Ecological Applications 10:233-247.
51. Raffa, K. F. 2014. Terpenes tell different tales at different scales: glimpses into the chemical ecology of conifer-bark beetle-microbial interactions. Journal of Chemical Ecology 40:1-20.
52. Raffa, K., and A. Berryman. 1983. The role of host plant resistance in the colonization behavior and ecology of bark beetles (Coleoptera: Scolytidae). Ecological Monographs 53:27-49.
53. Raffa, K. F., B. H. Aukema, B. J. Bentz, A. L. Carroll, J. A. Hicke, M. G. Turner, and W. H. Romme. 2008. Cross-scale drivers of natural disturbances prone to anthropogenic amplification: the dynamics of bark beetle eruptions. BioScience 58:501-517.
54. Reese, H., M. Nilsson, T. G. Pahlén, O. Hagner, S. Joyce, U. Tingelöf, M. Egbert, and H. Olsson. 2003. Countrywide estimates of forest variables using satellite data and field data from the national forest inventory. Ambio 32:542-548.
55. Ricketts, T. H. 2001. The matrix matters: effective isolation in fragmented landscapes. American Naturalist 158:87-99.
56. Robertson, C., T. A. Nelson, and B. Boots. 2007. Mountain pine beetle dispersal: the spatial-temporal interaction of infestations. Forest Science 53:395-405.
57. Roland, J., N. Keyghobadi, and S. Fownes. 2000. Alpine Parnassius butterfly dispersal: effects of landscape and population size. Ecology 81:1642-1653.
58. Schelhaas, M. J., G. J. Nabuurs, and A. Schuck. 2003. Natural disturbances in the European forests in the 19th and 20th centuries. Global Change Biology 9:1620-1633.
59. Schiebe, C., M. Blaženec, R. Jakuš, C. R. Unelius, and F. Schlyter. 2011. Semiochemical diversity diverts bark beetle attacks from Norway spruce edges. Journal of Applied Entomology 135:726-737.
60. Schiebe, C., A. Hammerbacher, G. Birgersson, J. Witzell, P. E. Brodelius, J. Gershenzon, B. S. Hansson, P. Krokene, and F. Schlyter. 2012. Inducibility of chemical defenses in Norway spruce bark is correlated with unsuccessful mass attacks by the spruce bark beetle. Oecologia 170:183-198.
61. Schippers, P., E. W. Stienen, A. G. Schotman, R. P. Snep, and P. A. Slim. 2011. The consequences of being colonial: Allee effects in metapopulations of seabirds. Ecological Modelling 222:3061-3070.
62. Schlyter, F., and O. Anderbrant. 1989. Mass attack of trees by Ips typographus induced by sex-specific pheromone: a model of attack dynamics. Ecography 12:415-426.
63. Schroeder, L. M., and Å. Lindelöw. 2002. Attacks on living spruce trees by the bark beetle Ips typographus (Col. Scolytidae) following a storm-felling: a comparison between stands with and without removal of wind-felled trees. Agricultural and Forest Entomology 4:47-56.
64. Seidl, R., M. J. Schelhaas, and M. J. Lexer. 2011. Unraveling the drivers of intensifying forest disturbance regimes in Europe. Global Change Biology 17:2842-2852.
65. Shore, T. L., A. Fall, W. G. Riel, J. Hughes, and M. Eng. 2010. Methods to assess landscape-scale risk of bark beetle infestation to support forest management decisions. Pages 497-520 in J. M. Pye, H. M. Rauscher, Y. Sands, D. C. Lee, and J. S. Beatty, editors. Advances in threat assessment and their application to forest and rangeland management - volume 2. PNW-GTR-802, U. S. Department of Agriculture, Forest Service, Portland, Oregon, USA. http://www.treesearch.fs.fed.us/pubs/37105 (accessed August 2015).
66. Simard, M., E. N. Powell, K. F. Raffa, and M. G. Turner. 2012. What explains landscape patterns of tree mortality caused by bark beetle outbreaks in Greater Yellowstone? Global Ecology and Biogeography 25:556-567.
67. Sjögren-Gulve, P., and C. Ray. 1996. Using logistic regression to model metapopulation dynamics: large-scale forestry extirpates the pool frog. Pages 111-137 in D. R. McCullough, editor. Metapopulations and wildlife conservation. Island Press, Washington, D. C., USA.
68. Speight, M. R., and D. Wainhouse. 1989. Ecology and management of forest insects. Oxford Science Publication, Clarendon Press, Oxford, UK.
69. Svensson, L. 2007. Övervakning av insektsangrepp - Slutrapport från Skogsstyrelsens regeringsuppdrag. Meddelande 1. Skogsstyrelsens förlag, Jönköping, Sweden (in Swedish).
70. Thorell, D. 2006. Kartering av stormfälld skog som behöver återbeskogas. Bulletin of Skogsstyrelsen:-, dated 17 March 2006 (in Swedish).
71. Tscharntke, T., and R. Brandl. 2004. Plant-insect interactions in fragmented landscapes. Annual Review of Entomology 49:405-430.
72. Walter, J. A., and R. V. Platt. 2013. Multitemporal analysis reveals that predictors of mountain pine beetle infestation change during outbreak cycles. Forest Ecology and Management 302:308-318.
73. Weslien, J., and Å. Lindelöw. 1990. Recapture of marked spruce bark beetles (Ips typographus) in pheromone traps using area-wide mass trapping. Canadian Journal of Forest Research 20:1786-1790.
74. Wichmann, L., and H. Ravn. 2001. The spread of Ips typographus (L.) (Coleoptera Scolytidae) attacks following heavy windthrow in Denmark analysed using GIS. Forest Ecology and Management 148:31-39.
75. Zhang, Q. H., and F. Schlyter. 2004. Olfactory recognition and behavioural avoidance of angiosperm nonhost volatiles by conifer-inhabiting bark beetles. Agricultural and Forest Entomology 6:1-20.