Alternate attractors in the population dynamics of a tree-killing bark beetle
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- 作者：Sharon J. Martinson (5)
Tiina Ylioja (1)
Brian T. Sullivan (2)
Ronald F. Billings (3)
Matthew P. Ayres (4) - 关键词：Alternate stable states ; Dendroctonus ; Multiple equilibria ; Pinus ; Regime shift ; Shared predators
- 刊名：Population Ecology
- 出版年：2013
- 出版时间：January 2013
- 年：2013
- 卷：55
- 期：1
- 页码：95-106
- 全文大小：491KB
- 参考文献：1. Angeli D, Ferrell JE, Sontag ED (2004) Detection of multistability, bifurcations, and hysteresis in a class of biological positive-feed back systems. Proc Natl Acad Sci USA 101:1822鈥?827 p://dx.doi.org/10.1073/pnas.0308265100">CrossRef
2. Ascoli-Christensen A, Salom SM, Payne TL (1993) Olfactory receptor cell responses of / Ips grandicollis (Eichhoff) (Coleoptera: Scolytidae) to intraspecific and interspecific behavioral chemicals. J Chem Ecol 19:699鈥?12 p://dx.doi.org/10.1007/BF00985002">CrossRef
3. Aukema BH, Raffa KF (2004) Does aggregation benefit bark beetles by diluting predation? Links between a group-colonisation strategy and the absence of emergent multiple predator effects. Ecol Entomol 29:129鈥?38 p://dx.doi.org/10.1111/j.0307-6946.2004.00594.x">CrossRef
4. Aukema BH, Raffa KF (2005) Selective manipulation of predators using pheromones: responses to frontalin and ipsdienol pheromone components of bark beetles in the Great Lakes region. Agric For Entomol 7:193鈥?00 p://dx.doi.org/10.1111/j.1461-9555.2005.00250.x">CrossRef
5. Ayres BD, Ayres MP, Abrahamson MD, Teale SA (2001) Resource partitioning and overlap in three sympatric species of / Ips bark beetles (Coleoptera: Scolytidae). Oecologia 128:443鈥?53 p://dx.doi.org/10.1007/s004420100665">CrossRef
6. Beisner BE, Haydon DT, Cuddington K (2003) Alternative stable states in ecology. Front Ecol Environ 1:376鈥?82 p://dx.doi.org/10.1890/1540-9295(2003)001[0376:ASSIE]2.0.CO;2">CrossRef
7. Bellows TS (1981) The descriptive properties of some models for density dependence. J Anim Ecol 50:139鈥?56 p://dx.doi.org/10.2307/4037">CrossRef
8. Berryman AA (1982) Biological control, thresholds, and pest outbreaks. Environ Entomol 11:544鈥?49
9. Berryman AA, Raffa KF, Millstein JA, Stenseth NC (1989) Interaction dynamics of bark beetle aggregation and conifer defense rates. Oikos 56:256鈥?63 p://dx.doi.org/10.2307/3565345">CrossRef
10. Biggs R, Carpenter SR, Brock WA (2009) Turning back from the brink: detecting an impending regime shift in time to avert it. Proc Natl Acad Sci USA 106:826鈥?31 p://dx.doi.org/10.1073/pnas.0811729106">CrossRef
11. Billings RF (1994) Southern pine beetle: impact in wilderness and non-wilderness forests. Tex For 35:16鈥?7
12. Billings RF (2011) Mechanical control of southern pine beetle infestations. In: Coulson RN, Klepzig KD (eds) Southern Pine Beetle II. General Technical Report 140, USDA Forest Service, Southern Research Station, Asheville, pp 399鈥?13
13. Boone CK, Six DL, Raffa KF (2008) The enemy of my enemy is still my enemy: competitors add to predator load of a tree-killing bark beetle. Agric For Entomol 10:411鈥?21 p://dx.doi.org/10.1111/j.1461-9563.2008.00402.x">CrossRef
14. Brook BW, Bradshaw CJA (2006) Strength of evidence for density dependence in abundance time series of 1198 species. Ecology 87:1445鈥?451 p://dx.doi.org/10.1890/0012-9658(2006)87[1445:SOEFDD]2.0.CO;2">CrossRef
15. Burnham KP, Anderson DR (2002) Model selection and multimodel inference: a practical information-theoretic approach. Springer, New York
16. Cairns DM, Lafon CW, Waldron JD, Tchakerian MD, Coulson RN, Klepzig KD, Birt AG, Xi WM (2008) Simulating the reciprocal interaction of forest landscape structure and southern pine beetle herbivory using LANDIS. Landsc Ecol 23:403鈥?15 p://dx.doi.org/10.1007/s10980-008-9198-7">CrossRef
17. Chapin FS, Rupp TS, Starfield AM, DeWilde LO, Zavaleta ES, Fresco N, Henkelman J, McGuire AD (2003) Planning for resilience: modeling change in human-fire interactions in the Alaskan boreal forest. Front Ecol Environ 1:255鈥?61 p://dx.doi.org/10.1890/1540-9295(2003)001[0255:PFRMCI]2.0.CO;2">CrossRef
18. Clarke SR, Billings RF (2003) Analysis of the southern pine beetle suppression program on the national forests in Texas in the 1990s. South J Appl For 27:122鈥?29
19. Clarke SR, Evans RE, Billings RF (2000) Influence of pine bark beetles on the West Gulf Coastal Plain. Tex J Sci 52:105鈥?26
20. Coleman TW, Clarke SR, Meeker JR, Rieske LK (2008) Forest composition following overstory mortality from southern pine beetle and associated treatments. Can J For Res 38:1406鈥?418 p://dx.doi.org/10.1139/X07-248">CrossRef
21. Collie JS, Richardson K, Steele JH (2004) Regime shifts: can ecological theory illuminate the mechanisms? Prog Oceanogr 60:281鈥?02 p://dx.doi.org/10.1016/j.pocean.2004.02.013">CrossRef
22. Contamin R, Ellison AM (2009) Indicators of regime shifts in ecological systems: what do we need to know and when do we need to know it? Ecol Appl 19:799鈥?16 p://dx.doi.org/10.1890/08-0109.1">CrossRef
23. Coulson RN, Klepzig KD (2011) The southern pine beetle encyclopedia. USDA Forest Service, Southern Research Station, Asheville
24. Coulson RN, Hennier PB, Flamm RO, Rykiel EJ, Hu LC, Payne TL (1983) The role of lightning in the epidemiology of the southern pine beetle. J Appl Entomol 96:182鈥?93
25. Edmonds RL, Agee JK, Gara RI (2000) Forest health and protection. McGraw Hill, Boston
26. Elkinton JS, Liebhold AM (1990) Population dynamics of the gypsy moth in North America. Annu Rev Entomol 35:571鈥?96 p://dx.doi.org/10.1146/annurev.en.35.010190.003035">CrossRef
27. Elkinton JS, Liebhold AM, Muzika RM (2004) Effects of alternative prey on predation by small mammals on gypsy moth pupae. Popul Ecol 46:171鈥?78 p://dx.doi.org/10.1007/s10144-004-0175-y">CrossRef
28. Flamm RO, Wagner TL, Cook SP, Pulley PE, Coulson RN, McArdle TM (1987) Host colonization by cohabiting / Dendroctonus frontalis, Ips avulsus, and / Ips calligraphus (Coleoptera: Scolytidae). Environ Entomol 16:390鈥?99
29. Flamm RO, Pulley PE, Coulson RN (1993) Colonization of disturbed trees by the southern pine bark beetle guild (Coleoptera: Scolytidae). Environ Entomol 22:62鈥?0
30. Friedenberg NA, Powell JA, Ayres MP (2007) Synchrony鈥檚 double edge: transient dynamics and the Allee effect in stage structured populations. Ecol Lett 10:564鈥?73 p://dx.doi.org/10.1111/j.1461-0248.2007.01048.x">CrossRef
31. 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鈥?59 p://dx.doi.org/10.1603/0046-225X(2008)37[650:TEDDAS]2.0.CO;2">CrossRef
32. Hodges JD, Pickard LS (1971) Lightning in ecology of southern pine beetle, / Dendroctonus frontalis (Coleoptera: Scolytidae). Can Entomol 103:44鈥?2 p://dx.doi.org/10.4039/Ent10344-1">CrossRef
33. Hofstetter RW, Klepzig KD, Moser JC, Ayres MP (2006) Seasonal dynamics of mites and fungi and their interaction with southern pine beetle. Environ Entomol 35:22鈥?0 p://dx.doi.org/10.1603/0046-225X-35.1.22">CrossRef
34. Holling CS (1973) Resilience and stability of ecological systems. Annu Rev Ecol Syst 4:1鈥?3 p://dx.doi.org/10.1146/annurev.es.04.110173.000245">CrossRef
35. Holt RD (2008) Theoretical perspectives on resource pulses. Ecology 89:671鈥?81 p://dx.doi.org/10.1890/07-0348.1">CrossRef
36. Holt RD, Lawton JH (1994) The ecological consequences of shared natural enemies. Annu Rev Ecol Syst 25:495鈥?20 p://dx.doi.org/10.1146/annurev.es.25.110194.002431">CrossRef
37. Jiao Y (2009) Regime shift in marine ecosystems and implications for fisheries management, a review. Rev Fish Biol Fisher 19:177鈥?91 p://dx.doi.org/10.1007/s11160-008-9096-8">CrossRef
38. Klapwijk MJ, Ayres MP, Battisti A, Larsson S (2012) Assessing the impact of climate change on outbreak potential. In: Barbosa P, Schultz JC, Letourneau D (eds) Insect outbreaks revisited, 2nd edn. Blackwell Publishing Ltd, Oxford, pp 429鈥?50 p://dx.doi.org/10.1002/9781118295205.ch20">CrossRef
39. Lafon CW, Kutac M (2003) Effects of ice storms, southern pine beetle infestation, and fire on table mountain pine forests of southwestern Virginia. Phys Geogr 24:502鈥?19 p://dx.doi.org/10.2747/0272-3646.24.6.502">CrossRef
40. Lewontin RC, Cohen D (1969) On population growth in a randomly varying environment. Proc Natl Acad Sci USA 62:1056鈥?060 p://dx.doi.org/10.1073/pnas.62.4.1056">CrossRef
41. Liebhold AM (1992) Are North American populations of gypsy moth (Lepidoptera: Lymantriidae) bimodal? Environ Entomol 21:221鈥?29
42. Lovelady CN, Pulley PE, Coulson RN, Flamm RO (1991) Relation of lightning to herbivory by the southern pine bark beetle guild (Coleoptera: Scolytidae). Environ Entomol 20:1279鈥?284
43. Ludwig D, Jones DD, Holling CS (1978) Qualitative analysis of insect outbreak systems鈥攕pruce budworm and forest. J Anim Ecol 47:315鈥?32 p://dx.doi.org/10.2307/3939">CrossRef
44. Martinson SJ, Hofstetter RW, Ayres MP (2007) Why does longleaf pine have low susceptibility to southern pine beetle? Can J For Res 37:1966鈥?977 p://dx.doi.org/10.1139/X07-066">CrossRef
45. Messier F, Crete M (1985) Moose-wolf dynamics and the natural regulation of moose populations. Oecologia 65:503鈥?12 p://dx.doi.org/10.1007/BF00379664">CrossRef
46. Miller DR, Asaro C, Berisford CW (2005) Attraction of southern pine engravers and associated bark beetles (Coleoptera: Scolytidae) to ipsenol, ipsdienol, and lanierone in southeastern United States. J Econ Entomol 98:2058鈥?066 p://dx.doi.org/10.1603/0022-0493-98.6.2058">CrossRef
47. Morris RF (1963) The dynamics of epidemic spruce budworm populations. Mem Entomol Soc Can 31:116鈥?29 p://dx.doi.org/10.4039/entm9531116-1">CrossRef
48. Okland B, Bjornstad ON (2006) A resource-depletion model of forest insect outbreaks. Ecology 87:283鈥?90 p://dx.doi.org/10.1890/05-0135">CrossRef
49. Peltonen M, Liebhold AM, Bjornstad ON, Williams DW (2002) Spatial synchrony in forest insect outbreaks: roles of regional stochasticity and dispersal. Ecology 83:3120鈥?129 p://dx.doi.org/10.1890/0012-9658(2002)083[3120:SSIFIO]2.0.CO;2">CrossRef
50. Price TS, Doggett HS, Pye JM, Smith B (1997) A history of southern pine beetle outbreaks in the southeastern United States. Georgia Forestry Commission, Macon
51. Pureswaran DS, Sullivan BT, Ayres MP (2006) Fitness consequences of pheromone production and host selection strategies in a tree-killing bark beetle (Coleoptera: Curculionidae: Scolytinae). Oecologia 148:720鈥?28 p://dx.doi.org/10.1007/s00442-006-0400-9">CrossRef
52. Raffa KF (1988) The mountain pine beetle in western North America. In: Berryman AA (ed) Dynamics of forest insect populations: patterns, causes, and implications. Plenum Press, New York, pp 506鈥?30
53. Raffa KF (2001) Mixed messages across multiple trophic levels: the ecology of bark beetle chemical communication systems. Chemoecology 11:49鈥?5 p://dx.doi.org/10.1007/PL00001833">CrossRef
54. Raffa KF, Berryman AA (1983) The role of host plant resistance in the colonization behavior and ecology of bark beetles (Coleoptera: Scolytidae). Ecol Monogr 53:27鈥?9 p://dx.doi.org/10.2307/1942586">CrossRef
55. 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鈥?17 p://dx.doi.org/10.1641/B580607">CrossRef
56. Reeve JD (1997) Predation and bark beetle dynamics. Oecologia 112:48鈥?4 p://dx.doi.org/10.1007/s004420050282">CrossRef
57. Reeve JD (2011) Predators of the southern pine beetle. In: Coulson RN, Klepzig KD (eds) Southern Pine Beetle II. Southern Research Station, Asheville, pp 153鈥?62
58. Reeve JD, Turchin P (2002) Evidence for predator-prey cycles in a bark beetle. In: Berryman AA (ed) Population cycles: the case for trophic interactions. Oxford Press, New York, pp 92鈥?98
59. Reeve JD, Ayres MP, Lorio PL (1995) Host suitability, predation, and bark beetle population dynamics. In: Cappuccino N, Price PW (eds) Population dynamics: new approaches and synthesis. Academic Press, San Diego, pp 339鈥?58
60. Reeve JD, Rhodes DJ, Turchin P (1998) Scramble competition in the southern pine beetle, / Dendroctonus frontalis. Ecol Entomol 23:433鈥?43 p://dx.doi.org/10.1046/j.1365-2311.1998.00143.x">CrossRef
61. Reeve JD, Strom BL, Rieske LK, Ayres BD, Costa A (2009) Geographic variation in prey preference in bark beetle predators. Ecol Entomol 34:183鈥?92 p://dx.doi.org/10.1111/j.1365-2311.2008.01055.x">CrossRef
62. Royama T (1992) Analytical population dynamics. Chapman & Hall, London p://dx.doi.org/10.1007/978-94-011-2916-9">CrossRef
63. Salom SM, Ascoli-Christensen A, Birgersson G, Payne TL, Berisford CW (1992) Electroantennogram responses of the southern pine beetle parasitoid / Coeloides pissodis (Ashmead) (Hym., Braconidae) to potential semiochemicals. J Appl Entomol 114:472鈥?79 p://dx.doi.org/10.1111/j.1439-0418.1992.tb01153.x">CrossRef
64. Scheffer M, Carpenter SR (2003) Catastrophic regime shifts in ecosystems: linking theory to observation. Trends Ecol Evol 18:648鈥?56 p://dx.doi.org/10.1016/j.tree.2003.09.002">CrossRef
65. Schroder A, Persson L, De Roos AM (2005) Direct experimental evidence for alternative stable states: a review. Oikos 110:3鈥?9 p://dx.doi.org/10.1111/j.0030-1299.2005.13962.x">CrossRef
66. Seppala R (2009) A global assessment on adaptation of forests to climate change. Scand J For Res 24:469鈥?72 p://dx.doi.org/10.1080/02827580903378626">CrossRef
67. Smith MT, Payne TL, Birch MC (1990) Olfactory based behavioral interactions among 5 species in the southern pine bark beetle group. J Chem Ecol 16:3317鈥?331 p://dx.doi.org/10.1007/BF00982101">CrossRef
68. Southwood TRE, Comins HN (1976) A synoptic population model. J Anim Ecol 65:949鈥?65 p://dx.doi.org/10.2307/3591">CrossRef
69. Sutherland JP (1990) Perturbations, resistance, and alternative views of the existence of multiple stable points in nature. Am Nat 136:270鈥?75 p://dx.doi.org/10.1086/285097">CrossRef
70. Thatcher RC, Searcy JL, Coster JE, Hertel GD (1980) The southern pine beetle. U.S. Department of Agriculture, Expanded Southern Pine Beetle Research and Applications Program, Forest Service, Science and Education Administration, Pineville
71. Tobin PC, Whitmire SL, Johnson DM, Bjornstad ON, Liebhold AM (2007) Invasion speed is affected by geographical variation in the strength of Allee effects. Ecol Lett 10:36鈥?3 p://dx.doi.org/10.1111/j.1461-0248.2006.00991.x">CrossRef
72. Turchin P (2003) Complex population dynamics: a theoretical/empirical synthesis. Princeton University Press, Princeton
73. Turchin P, Thoeny WT (1993) Quantifying dispersal of southern pine beetles with mark-recapture experiments and a diffusion model. Ecol Appl 3:187鈥?98 p://dx.doi.org/10.2307/1941801">CrossRef
74. Turchin P, Taylor AD, Reeve JD (1999) Dynamical role of predators in population cycles of a forest insect: an experimental test. Science 285:1068鈥?071 p://dx.doi.org/10.1126/science.285.5430.1068">CrossRef
75. Tylianakis JM, Didham RK, Bascompte J, Wardle DA (2008) Global change and species interactions in terrestrial ecosystems. Ecol Lett 11:1351鈥?363 p://dx.doi.org/10.1111/j.1461-0248.2008.01250.x">CrossRef
76. Weijerman M, Lindeboom H, Zuur AF (2005) Regime shifts in marine ecosystems of the North Sea and Wadden Sea. Mar Ecol Prog Ser 298:21鈥?9 p://dx.doi.org/10.3354/meps298021">CrossRef
77. Xi WM, Coulson RN, Waldron JD, Tchakerian MD, Lafon CW, Cairns DM, Birt AG, Klepzig KD (2008) Landscape modeling for forest restoration planning and assessment: lessons from the southern Appalachian Mountains. J For 106:191鈥?97 - 作者单位：Sharon J. Martinson (5)
Tiina Ylioja (1)
Brian T. Sullivan (2)
Ronald F. Billings (3)
Matthew P. Ayres (4)
5. 184 Running Iron Rd, #5, Bishop, CA, 93514, USA
1. Finnish Forest Research Institute, P.O. Box 18, FI-01301, Vantaa, Finland
2. Southern Research Station, USDA Forest Service, 2500 Shreveport Highway, Pineville, LA, 71360, USA
3. Texas Forest Service, J.B. Connally Building Suite 364, 301 Tarrow St., College Station, TX, 77840, USA
4. Department of Biological Sciences, Dartmouth College, Hanover, NH, 03755, USA - ISSN：1438-390X
文摘
Among the most striking changes in ecosystems are those that happen abruptly and resist return to the original condition (i.e., regime shifts). This frequently involves conspicuous changes in the abundance of one species (e.g., an oubreaking pest or keystone species). Alternate attractors in population dynamics could explain switches between low and high levels of abundance, and could underlie some cases of regime shifts in ecosystems; this longstanding theoretical possibility has been difficult to test in nature. We compared the ability of an alternate attractors model versus two competing models to explain population fluctuations in the tree-killing bark beetle, Dendroctonus frontalis. Frequency distributions of abundance were distinctly bimodal, a prediction of the alternate attractors model, strongly indicating the lack of a single, noisy equilibrium. Time series abundance data refuted the existence of strong delayed density-dependence or nonlinearities, as required by the endogenous cycles model. The model of alternate attractors was further supported by the existence of positive density-dependence at intermediate beetle abundances. Experimental manipulations show that interactions with competitors and shared enemies could create a locally stable equilibrium in small populations of D. frontalis. High variation among regions and years in the abundance of predators and competitors could permit switches between alternate states. Dendroctonus frontalis now provides the strongest case that we know of for alternate attractors in natural population dynamics. The accompanying demographic instability appears to underlie spatially extensive outbreaks that have lasting impacts on forest ecosystems. Understanding feedbacks in populations with alternate attractors can help to identify thresholds underlying regime shifts, and potentially manage them to avoid undesirable impacts.