Synchrony and geographical variation of the spruce bark beetle (Ips typographus) during a non-epidemic period

Spatio-temporal analyses of non-epidemic bark beetle populations may provide insight in dynamics predisposing for outbreaks. The present article presents a spatio-temporal analysis of the population dynamics of Ips typographus based on pheromone trap data from southeast and mid-Norway in the post-epidemic period 1979–2002. The analyses include regression analyses, hierarchical cluster analysis, and analysis of spatial synchrony of beetle time series and climatic data by means of nonparametric spatial covariance functions. The mean abundance of beetles declined linearly with latitude. In addition, the time series means were higher in areas with high forest productivity and rocky soils predisposed to drought. The time series patterns differed significantly between northern and southern study areas. The regional synchrony of the time series was fairly high (0.38), indicating that some large-scale climatic factor may influence the dynamics. Windfelling was the external variable showing the most parallel pattern of correlation to the beetle dynamics. We thus posit that large windfall events may be a major instigator and synchronizer of beetle outbreaks in areas subjected to regionalized weather systems.

[1]  Wilhelm Fa Lck Nonparametric spatial covariance functions: Estimation and testing , 2001 .

[2]  P. A. P. Moran,et al.  The statistical analysis of the Canadian Lynx cycle. , 1953 .

[3]  A. Bakke,et al.  Mass trapping of the spruce bark beetle Ips typographus. Pheromone and trap technology , 1983 .

[4]  J. Grégoire The Greater European Spruce Beetle , 1988 .

[5]  W. Koenig Global patterns of environmental synchrony and the Moran effect , 2002 .

[6]  Jan Lindström,et al.  Synchrony in population dynamics , 1995, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[7]  E. Christiansen,et al.  The threshold of successful attack by Ips typographus on Picea abies: a field experiment , 1986 .

[8]  Richard H. Waring,et al.  Modifying Lodgepole Pine Stands to Change Susceptibility to Mountain Pine Beetle Attack , 1985 .

[9]  R. Waring,et al.  Attacks of Mountain Pine Beetle as Related to Tree Vigor of Ponderosa Pine , 1983 .

[10]  Alan A. Berryman,et al.  Principles of Population Dynamics and Their Application , 2020 .

[11]  P. L. Lorio,et al.  Modified water regimes affect photosynthesis, xylem water potential, cambial growth and resistance of juvenile Pinus taeda L. to Dendroctonus frontalis (Coleoptera: Scolytidae) , 1993 .

[12]  E. Christiansen,et al.  The Spruce Bark Beetle of Eurasia , 1988 .

[13]  David W. Williams,et al.  SPATIAL SYNCHRONY IN FOREST INSECT OUTBREAKS: ROLES OF REGIONAL STOCHASTICITY AND DISPERSAL , 2002 .

[14]  E. Annila,et al.  Insect attack on windthrown trees after the December 1975 storm in western Finland. , 1978 .

[15]  H. Ravn,et al.  Estimating risks for spruce bark beetle (Ips typographus (L.)) damage using pheromone‐baited traps and trees , 1989 .

[16]  O. Bjørnstad,et al.  Spatial population dynamics: analyzing patterns and processes of population synchrony. , 1999, Trends in ecology & evolution.

[17]  A. C. Rencher Linear models in statistics , 1999 .

[18]  Ottar N Bjørnstad,et al.  Cycles and synchrony: two historical 'experiments' and one experience. , 2000, The Journal of animal ecology.

[19]  Alf Bakke,et al.  The recent Ips typographus outbreak in Norway ‐ experiences from a control program , 1989 .

[20]  Takashi Saitoh,et al.  SYNCHRONY AND SCALING IN DYNAMICS OF VOLES AND MICE IN NORTHERN JAPAN , 1999 .

[21]  T. Royama,et al.  Analytical Population Dynamics , 1994, Population and Community Biology Series.

[22]  A. Berryman,et al.  Resource dynamic plays a key role in regional fluctuations of the spruce bark beetles Ips typographus , 2004 .

[23]  Matthew P. Ayres,et al.  Climate and the northern distribution limits of Dendroctonus frontalis Zimmermann (Coleoptera: Scolytidae) , 1999 .

[24]  L. M. Schroeder,et al.  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 , 2002 .

[25]  J. Wiens Spatial Scaling in Ecology , 1989 .

[26]  C. Senior,et al.  An assessment of measures of storminess: simulated changes in northern hemisphere winter due to increasing CO2 , 1996 .

[27]  Ivar Trägårdh,et al.  Redogörelse för barkborrekampanjen efter stormhärjningarna 1931-1932 , 1935 .

[28]  N. B. Kotliar,et al.  Multiple scales of patchiness and patch structure: a hierarchical framework for the study of heterogeneity , 1990 .

[29]  A. C. Rencher Methods of multivariate analysis , 1995 .