TY - JOUR
T1 - Individual traits as drivers of spatial dispersal and infestation patterns in a host-bark beetle system
AU - Kautz, Markus
AU - Schopf, Reinhard
AU - Imron, Muhammad Ali
PY - 2014/2/10
Y1 - 2014/2/10
N2 - Tree-killing bark beetle species such as Ips sp. and Dendroctonus sp. are considered one of the most severe biotic hazards affecting forests at the global scale. Although spatio-temporal patterns of dispersal and infestations have been widely observed and statistically analyzed profound knowledge about the host-bark beetle interactions that evoke these patterns is scarce. We developed an individual-based and spatially explicit model - the Infestation Pattern Simulation (IPS) model - to elucidate how individual traits affect system-level dispersal and infestation patterns. IPS simulates processes including dispersal, host selection, aggregation, and finally colonization, or rejection by host defence on a local scale. Host-bark beetle interactions are implemented highly dynamically, i.e. individual adaptive behavior takes into account space- and time-dependent variations in traits. Simulations consider one dispersal wave starting from a single source located in a virtual stand. Finally, the effects of both bark beetle- and host tree-specific parameters on emerging system patterns were quantified using a one-factor-at-a-time sensitivity analysis approach. As system-level response variables we used (i) percentage of successful beetles, (ii) number of infestations, and (iii) maximum infestation distance to source. Among bark beetle-specific parameters those affecting host recognition (e.g. perceptual range, energetic level) and attack synchrony (e.g. source size, time lag between flight cohorts) were revealed to be highly sensitive with regard to all three response variables. In addition, the host tree's resistance and spatial distribution is also shown to be decisive for infestation occurrence. The model provides a conceptual framework linking individual behavior to system-level patterns. Thus it represents a powerful tool - complementing lab- and field-based approaches - which may contribute to our understanding of the complex spatio-temporal processes that govern host-bark beetle dynamics.
AB - Tree-killing bark beetle species such as Ips sp. and Dendroctonus sp. are considered one of the most severe biotic hazards affecting forests at the global scale. Although spatio-temporal patterns of dispersal and infestations have been widely observed and statistically analyzed profound knowledge about the host-bark beetle interactions that evoke these patterns is scarce. We developed an individual-based and spatially explicit model - the Infestation Pattern Simulation (IPS) model - to elucidate how individual traits affect system-level dispersal and infestation patterns. IPS simulates processes including dispersal, host selection, aggregation, and finally colonization, or rejection by host defence on a local scale. Host-bark beetle interactions are implemented highly dynamically, i.e. individual adaptive behavior takes into account space- and time-dependent variations in traits. Simulations consider one dispersal wave starting from a single source located in a virtual stand. Finally, the effects of both bark beetle- and host tree-specific parameters on emerging system patterns were quantified using a one-factor-at-a-time sensitivity analysis approach. As system-level response variables we used (i) percentage of successful beetles, (ii) number of infestations, and (iii) maximum infestation distance to source. Among bark beetle-specific parameters those affecting host recognition (e.g. perceptual range, energetic level) and attack synchrony (e.g. source size, time lag between flight cohorts) were revealed to be highly sensitive with regard to all three response variables. In addition, the host tree's resistance and spatial distribution is also shown to be decisive for infestation occurrence. The model provides a conceptual framework linking individual behavior to system-level patterns. Thus it represents a powerful tool - complementing lab- and field-based approaches - which may contribute to our understanding of the complex spatio-temporal processes that govern host-bark beetle dynamics.
KW - Adaptive behavior
KW - Host selection
KW - Individual-based modeling
KW - Infestation Pattern Simulation (IPS) model
KW - Ips typographus
KW - OAT-sensitivity analysis
UR - http://www.scopus.com/inward/record.url?scp=84890814045&partnerID=8YFLogxK
U2 - 10.1016/j.ecolmodel.2013.11.022
DO - 10.1016/j.ecolmodel.2013.11.022
M3 - Article
AN - SCOPUS:84890814045
SN - 0304-3800
VL - 273
SP - 264
EP - 276
JO - Ecological Modelling
JF - Ecological Modelling
ER -