Climate change amplifies the interactions between wind and bark beetle disturbances in forest landscapes

ContextGrowing evidence suggests that climate change could substantially alter forest disturbances. Interactions between individual disturbance agents are a major component of disturbance regimes, yet how interactions contribute to their climate sensitivity remains largely unknown.ObjectivesHere, our aim was to assess the climate sensitivity of disturbance interactions, focusing on wind and bark beetle disturbances.MethodsWe developed a process-based model of bark beetle disturbance, integrated into the dynamic forest landscape model iLand (already including a detailed model of wind disturbance). We evaluated the integrated model against observations from three wind events and a subsequent bark beetle outbreak, affecting 530.2 ha (3.8 %) of a mountain forest landscape in Austria between 2007 and 2014. Subsequently, we conducted a factorial experiment determining the effect of changes in climate variables on the area disturbed by wind and bark beetles separately and in combination.ResultsiLand was well able to reproduce observations with regard to area, temporal sequence, and spatial pattern of disturbance. The observed disturbance dynamics was strongly driven by interactions, with 64.3 % of the area disturbed attributed to interaction effects. A +4 °C warming increased the disturbed area by +264.7 % and the area-weighted mean patch size by +1794.3 %. Interactions were found to have a ten times higher sensitivity to temperature changes than main effects, considerably amplifying the climate sensitivity of the disturbance regime.ConclusionsDisturbance interactions are a key component of the forest disturbance regime. Neglecting interaction effects can lead to a substantial underestimation of the climate change sensitivity of disturbance regimes.

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

[2]  D. Kulakowski,et al.  Stand‐replacing fires reduce susceptibility of lodgepole pine to mountain pine beetle outbreaks in Colorado , 2012 .

[3]  B. Wermelinger.  Development and distribution of predators and parasitoids during two consecutive years of an Ips typographus (Col., Scolytidae) infestation , 2002 .

[4]  B. Buma.  Disturbance interactions: characterization, prediction, and the potential for cascading effects , 2015 .

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

[6]  Manfred J. Lexer,et al.  Modelling bark beetle disturbances in a large scale forest scenario model to assess climate change impacts and evaluate adaptive management strategies , 2009 .

[7]  M. Heurich,et al.  Simulation and analysis of outbreaks of bark beetle infestations and their management at the stand level , 2011 .

[8]  Werner Rammer,et al.  Simulating wind disturbance impacts on forest landscapes: Tree-level heterogeneity matters , 2014, Environ. Model. Softw..

[9]  Rupert Seidl,et al.  Searching for resilience: addressing the impacts of changing disturbance regimes on forest ecosystem services. , 2016, The Journal of applied ecology.

[10]  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.

[11]  H. Roininen,et al.  The influence of windthrow area and timber characteristics on colonization of wind-felled spruces by Ips typographus (L.) , 2005 .

[12]  Werner Rammer,et al.  Coupling human and natural systems: Simulating adaptive management agents in dynamically changing forest landscapes , 2015 .

[13]  Brian J Harvey,et al.  Recent mountain pine beetle outbreaks, wildfire severity, and postfire tree regeneration in the US Northern Rockies , 2014, Proceedings of the National Academy of Sciences.

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

[15]  Alexander Arpaci,et al.  Modelling natural disturbances in forest ecosystems: a review , 2011 .

[16]  M. G. Ryan,et al.  Continued warming could transform Greater Yellowstone fire regimes by mid-21st century , 2011, Proceedings of the National Academy of Sciences.

[17]  Werner Rammer,et al.  Increasing forest disturbances in Europe and their impact on carbon storage. , 2014, Nature climate change.

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

[19]  B. Bentz,et al.  Phenology and density-dependent dispersal predict patterns of mountain pine beetle (Dendroctonus ponderosae) impact , 2014 .

[20]  H. Bugmann,et al.  Cross-scale Interactions Among Bark Beetles, Climate Change, and Wind Disturbances: a Landscape Modeling Approach , 2013 .

[21]  M. Kautz,et al.  Individual traits as drivers of spatial dispersal and infestation patterns in a host–bark beetle system , 2014 .

[22]  J. Müller,et al.  The impacts of climate change and disturbance on spatio‐temporal trajectories of biodiversity in a temperate forest landscape , 2016, The Journal of applied ecology.

[23]  Sigrid Netherer,et al.  Potential effects of climate change on insect herbivores in European forests - general aspects and the pine processionary moth as specific example. , 2010 .

[24]  The Interaction Between Insect Outbreaks and Debris Slides in a Glacial Valley of the Eastern Canadian Shield , 2015, Ecosystems.

[25]  P. Baier,et al.  PHENIPS—A comprehensive phenology model of Ips typographus (L.) (Col., Scolytinae) as a tool for hazard rating of bark beetle infestation , 2007 .

[26]  Mark Altaweel,et al.  Modeling micro-scale ecological processes and emergent patterns of mountain pine beetle epidemics , 2014 .

[27]  J. Hicke,et al.  Cross-scale Drivers of Natural Disturbances Prone to Anthropogenic Amplification: The Dynamics of Bark Beetle Eruptions , 2008 .

[28]  Teresa B. Chapman,et al.  Area burned in the western United States is unaffected by recent mountain pine beetle outbreaks , 2015, Proceedings of the National Academy of Sciences.

[29]  C. Justice,et al.  High-Resolution Global Maps of 21st-Century Forest Cover Change , 2013, Science.

[30]  Marco Bindi,et al.  Assessing risk and adaptation options to fires and windstorms in European forestry , 2010 .

[31]  P. White,et al.  The Ecology of Natural Disturbance and Patch Dynamics , 1986 .

[32]  M. Turner,et al.  Do mountain pine beetle outbreaks change the probability of active crown fire in lodgepole pine forests , 2011 .

[33]  Amanda M. Schwantes,et al.  Global satellite monitoring of climate-induced vegetation disturbances. , 2015, Trends in plant science.

[34]  Eric J. Gustafson.  When relationships estimated in the past cannot be used to predict the future: using mechanistic models to predict landscape ecological dynamics in a changing world , 2013, Landscape Ecology.

[35]  Marco Heurich,et al.  Small beetle, large-scale drivers: how regional and landscape factors affect outbreaks of the European spruce bark beetle. , 2016, The Journal of applied ecology.

[36]  Impacts of climate change on timber production and regional risks of wind-induced damage to forests in Finland , 2010 .

[37]  V. Košťál,et al.  Physiological and biochemical analysis of overwintering and cold tolerance in two Central European populations of the spruce bark beetle, Ips typographus. , 2011, Journal of insect physiology.

[38]  T. Spies,et al.  An Individual-Based Process Model to Simulate Landscape-Scale Forest Ecosystem Dynamics , 2012 .

[39]  M. Turner,et al.  Factors Influencing Succession: Lessons from Large, Infrequent Natural Disturbances , 1998, Ecosystems.

[40]  Benjamin Smith,et al.  Guess the impact of Ips typographus—An ecosystem modelling approach for simulating spruce bark beetle outbreaks , 2012 .

[41]  R. Paine,et al.  Compounded Perturbations Yield Ecological Surprises , 1998, Ecosystems.

[42]  M. Faccoli.  Winter mortality in sub-corticolous populations of Ips typographus (Coleoptera, Scolytidae) and its parasitoids in the south-eastern Alps , 2002, Anzeiger für Schädlingskunde = Journal of pest science.

[43]  Ola Sallnäs,et al.  Climate change and the probability of wind damage in two Swedish forests. , 2010 .

[44]  Bradley Matthews,et al.  Do water-limiting conditions predispose Norway spruce to bark beetle attack? , 2014, The New phytologist.

[45]  Alexis Achim,et al.  Wind loading of trees: influence of tree size and competition , 2010, European Journal of Forest Research.

[46]  Barry Gardiner,et al.  Comparison and validation of three versions of a forest wind risk model , 2015, Environ. Model. Softw..

[47]  Manfred J. Lexer,et al.  Modelling tree mortality by bark beetle infestation in Norway spruce forests , 2007 .

[48]  Liliana Perez,et al.  Landscape-level simulation of forest insect disturbance: Coupling swarm intelligent agents with GIS-based cellular automata model , 2012 .

[49]  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 .

[50]  A disturbance-induced increase in tree species diversity facilitates forest productivity , 2016, Landscape Ecology.

[51]  S. Neuvonen,et al.  Ips typographus (L.) attack on patches of felled trees: “Wind-felled” vs. cut trees and the risk of subsequent mortality , 2008 .

[52]  Beat Wermelinger,et al.  Temperature‐dependent reproduction of the spruce bark beetle Ips typographus, and analysis of the potential population growth , 1999 .

[53]  J. Phillips.  The perfect landscape , 2007, Landscape Evolution.

[54]  Anna Maria Jönsson,et al.  Spatio‐temporal impact of climate change on the activity and voltinism of the spruce bark beetle, Ips typographus , 2009 .

[55]  C. Wessman,et al.  Disturbance interactions can impact resilience mechanisms of forests , 2011 .

[56]  C. Bigler,et al.  Spatial interactions between storm damage and subsequent infestations by the European spruce bark beetle , 2014 .

[57]  P. White,et al.  The Ecology of Natural Disturbance and Patch Dynamics , 1986 .

[58]  D. Kulakowski,et al.  INTERACTIONS BETWEEN FIRE AND SPRUCE BEETLES IN A SUBALPINE ROCKY MOUNTAIN FOREST LANDSCAPE , 2003 .

[59]  H. Bugmann,et al.  Sensitivity of ecosystem goods and services projections of a forest landscape model to initialization data , 2013, Landscape Ecology.

[60]  N. Stenseth,et al.  Population dynamics in changing environments: the case of an eruptive forest pest species , 2012, Biological reviews of the Cambridge Philosophical Society.

[61]  Martin Schroeder,et al.  Dynamics of spruce bark beetle infestation spots: Importance of local population size and landscape characteristics after a storm disturbance , 2014 .

[62]  M. Turner.  Disturbance and landscape dynamics in a changing world. , 2010, Ecology.