Landscape-level spread of beetle infestations from windthrown- and beetle-killed trees in the non-intervention zone of the Tatra National Park, Slovakia (Central Europe)

Abstract The European spruce bark beetle (Ips typographus) causes widespread Norway spruce (Picea abies) mortality in European forests. The pattern of landscape-level tree mortality varies over the course of beetle outbreak and by the presence and location of active breeding sites. Increased understanding of rules governing the unmanaged spread of beetle-induced tree mortality over the landscape would help to optimise management control strategies on the borderline between highly valuable protected areas and surrounding managed forests. Our study aimed to quantify the dynamics of standing tree infestation patterns from two infestation sources: windthrow and previous-year beetle infestations. Specifically, we (i) evaluated dispersal distances between the nearest infestation source and new infestations, (ii) quantified size and shape of infestation spots, (iii) modelled an infestation gradient and (iv) probability of new infestation during the incipient, peak and decline phases of beetle outbreak. Based on one- and two-year records of colour-infrared aerial photography, taken between 2005 and 2015, we identified windthrown and beetle-killed trees in the non-intervention zone of Tatra National Park, Slovakia (Central Europe). The size and compactness of infestation spots evolved from small and simple to more extended and complex shapes during beetle epidemics. In total, 40% of infestations were smaller than 100 m2 and 79% smaller than 500 m2. Spot growth dominated over spot initiation, with the mean spot growth extent during peak epidemic (54.8 m). Beetle infestations reached the upper tree line (1605 m a.s.l.). In total, 71% of new infestations emerged within 100 m and 97% within 500 m from an infestations source. Emergence of new infestations varied between infestation sources and phases of beetle outbreak. New beetle infestations emerged near windthrown locations during incipient and peak phases and near source beetle infestations during peak and decline phases following inverse power-law function. We found that the forest within 100 m from the active infestation compared to more distant buffers had the highest risk of infestations. The distance to previous-year infestations should be considered as one of the main factors in determining the risk of subsequent tree mortality, especially if other predictors are absent. If the active wind disturbances or beetle infestations neighbour the border of the unmanaged protected area, the search and sanitation felling of active breeding trees should be concentrated within 500 m from the border of unmanaged protected areas in order to restrain the spread of beetle infestations from nature reserve to surrounding managed forests.

[1]  O. Bjørnstad,et al.  A resource-depletion model of forest insect outbreaks. , 2006, Ecology.

[2]  Marco Heurich,et al.  Object-orientated image analysis for the semi-automatic detection of dead trees following a spruce bark beetle (Ips typographus) outbreak , 2010, European Journal of Forest Research.

[3]  R. Rasi,et al.  Bark beetles in the Tatra Mountains. International research 1998– 2005 – an overview , 2010 .

[4]  M. Faccoli,et al.  Breeding performance of the second generation in some bivoltine populations of Ips typographus (Coleoptera Curculionidae) in the south-eastern Alps , 2011, Journal of Pest Science.

[5]  Marco Heurich,et al.  Spatio-temporal infestation patterns of Ips typographus (L.) in the Bavarian Forest National Park, Germany , 2013 .

[6]  J. Grégoire,et al.  Bark and Wood Boring Insects in Living Trees in Europe, a Synthesis , 2004, Springer Netherlands.

[7]  Rastislav Jakuš,et al.  Factors influencing the wind–bark beetles’ disturbance system in the course of an Ips typographus outbreak in the Tatra Mountains , 2014 .

[8]  K. Raffa,et al.  Evolution of tree killing in bark beetles (Coleoptera: Curculionidae): trade-offs between the maddening crowds and a sticky situation , 2013, The Canadian Entomologist.

[9]  J. Byers Effects of Attraction Radius and Flight Paths on Catch of Scolytid Beetles Dispersing Outward Through Rings of Pheromone Traps , 1999, Journal of Chemical Ecology.

[10]  M. Gilbert,et al.  Post-storm surveys reveal large-scale spatial patterns and influences of site factors, forest structure and diversity in endemic bark-beetle populations , 2004, Landscape Ecology.

[11]  M. Kozánek,et al.  Elevated bark temperature in unremoved stumps after disturbances facilitates multi-voltinism in Ips typographus population in a mountainous forest , 2016 .

[12]  M. Heurich,et al.  Factors affecting the spatio-temporal dispersion of Ips typographus (L.) in Bavarian Forest National Park: A long-term quantitative landscape-level analysis , 2011 .

[13]  O. Anderbrant Reemergence and second brood in the bark beetle Ips typographus , 1989 .

[14]  S. Lawson,et al.  Effect of natural enemy exclusion on mortality of Ips typographus japonicus Niijima (Col., Scolytidae) in Hokkaido, Japan , 1997 .

[15]  R. Jakuš,et al.  Definition of spatial patterns of bark beetle Ips typographus (L.) outbreak spreading in Tatra Mountains (Central Europe), using GIS , 2003 .

[16]  K. Lukášová,et al.  Pathogen's level and parasitism rate in Ips typographus at high population densities: importance of time , 2017 .

[17]  Michael A. Wulder,et al.  Surveying mountain pine beetle damage of forests: A review of remote sensing opportunities , 2006 .

[18]  Colin Robertson,et al.  Mountain pine beetle dispersal: The spatial-temporal interaction of infestations , 2007 .

[19]  L. Nageleisen,et al.  Effects of drought and heat on forest insect populations in relation to the 2003 drought in Western Europe , 2006 .

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

[21]  R. Jakuš,et al.  Interactions between windthrow, bark beetles and forest management in the Tatra national parks , 2017 .

[22]  D. L. Williams,et al.  Remote detection of forest damage , 1986 .

[23]  C. Elkin,et al.  Shifts in breeding habitat selection behaviour in response to population density , 2010 .

[24]  L. M. Schroeder,et al.  Ips typographus population development after a severe storm in a nature reserve in southern Sweden , 2011 .

[25]  M. Kautz On correcting the time-lag bias in aerial-surveyed bark beetle infestation data , 2014 .

[26]  T. Zwijacz-Kozica,et al.  Landscape-Level Spruce Mortality Patterns and Topographic Forecasters of Bark Beetle Outbreaks in Managed and Unmanaged Forests of the Tatra Mountains , 2017, Polish Journal of Ecology.

[27]  R. Modlinger,et al.  Quantification of time delay between damages caused by windstorms and by Ips typographus , 2015 .

[28]  J. Byers Behavioral mechanisms involved in reducing competition in bark beetles , 1989 .

[29]  J. Szwagrzyk,et al.  Tree and stand-level patterns and predictors of Norway spruce mortality caused by bark beetle infestation in the Tatra Mountains , 2015 .

[30]  M. Kautz,et al.  Quantifying spatio-temporal dispersion of bark beetle infestations in epidemic and non-epidemic conditions , 2011 .

[31]  W. Grodzki Spatio-temporal patterns of the Norway spruce decline in the Beskid Śląski and Żywiecki (Western Carpathians) in southern Poland , 2018 .

[32]  M. Schroeder,et al.  Local colonization‐extinction dynamics of a tree‐killing bark beetle during a large‐scale outbreak , 2016 .

[33]  J. Škvarenina,et al.  Bioclimatology and natural hazards , 2009 .

[34]  T. Hlásny,et al.  Persisting bark beetle outbreak indicates the unsustainability of secondary Norway spruce forests: case study from Central Europe , 2013, Annals of Forest Science.

[35]  J. Grégoire,et al.  Exploiting fugitive resources: How long-lived is "fugitive"? Fallen trees are a long-lasting reward for Ips typographus (Coleoptera, Curculionidae, Scolytinae) , 2014 .

[36]  A. Kunca,et al.  Post-disaster Forest Management and Bark Beetle Outbreak in Tatra National Park, Slovakia , 2014 .

[37]  Joachim Ohser,et al.  The “sun-effect”: microclimatic alterations predispose forest edges to bark beetle infestations , 2013, European Journal of Forest Research.

[38]  J. Byers Wind-aided dispersal of simulated bark beetles flying through forests , 2000 .

[39]  Gert-Jan Nabuurs,et al.  Natural disturbances in the European forests in the 19th and 20th centuries , 2003 .

[40]  Beat Wermelinger,et al.  Ecology and management of the spruce bark beetle Ips typographus—a review of recent research , 2004 .

[41]  R. Souza,et al.  Biology of Barrett's esophagus and esophageal adenocarcinoma. , 2011, Gastrointestinal endoscopy clinics of North America.

[42]  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 .

[43]  K. Raffa,et al.  Density‐mediated responses of bark beetles to host allelochemicals: a link between individual behaviour and population dynamics , 2002 .

[44]  J. Deneubourg,et al.  Modelling collective foraging in endemic bark beetle populations , 2016 .

[45]  Sigrid Netherer,et al.  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 , 2005 .

[46]  Alan M. MacEachren,et al.  Compactness of Geographic Shape: Comparison and Evaluation of Measures , 1985 .

[47]  B. Økland,et al.  Transition from windfall- to patch-driven outbreak dynamics of the spruce bark beetle Ips typographus , 2016 .

[48]  T. Tadesse,et al.  Drought Occurrence in Central European Mountainous Region (Tatra National Park, Slovakia) within the Period 1961–2010 , 2015 .

[49]  J. Byers,et al.  Flight initiation and survival in the bark beetle Ips typographus (Coleoptera: Scolytidae) during the spring dispersal , 1989 .

[50]  Pavel Mezei,et al.  The relationship between potential solar radiation and spruce bark beetle catches in pheromone traps , 2012 .

[51]  Pavel Mezei,et al.  Storms, temperature maxima and the Eurasian spruce bark beetle Ips typographus—An infernal trio in Norway spruce forests of the Central European High Tatra Mountains , 2017 .

[52]  L. M. Schroeder,et al.  Tree killing by Ips typographus (Coleoptera: Scolytidae) at stand edges with and without colonized felled spruce trees , 2003 .

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

[54]  F. Schlyter,et al.  Causes and effects of individual quality in bark beetles , 1989 .

[55]  T. White,et al.  Are outbreaks of cambium‐feeding beetles generated by nutritionally enhanced phloem of drought‐stressed trees? , 2015 .

[56]  Lars Wichmann,et al.  The spread of Ips typographus (L.) (Coleoptera, Scolytidae) attacks following heavy windthrow in Denmark, analysed using GIS , 2001 .