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iForest - Biogeosciences and Forestry

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Landscape-scale Ips typographus attack dynamics: from monitoring plots to GIS-based disturbance models

R Jakus (1)   , L Zajíčkova (2), P Cudlín (3), M Blaženec (1), M Turčani (2), M Ježík (1), F Lieutier (4), F Schlyter (5)

iForest - Biogeosciences and Forestry, Volume 4, Issue 6, Pages 256-261 (2011)
doi: https://doi.org/10.3832/ifor0589-004
Published: Dec 13, 2011 - Copyright © 2011 SISEF

Progress Reports

Collection/Special Issue: COST Action FP0903 (2010) - Rome (Italy)
Research, monitoring and modelling in the study of climate change and air pollution impacts on forest ecosystems
Guest Editors: E Paoletti, J-P Tuovinen, N Clarke, G Matteucci, R Matyssek, G Wieser, R Fischer, P Cudlin, N Potocic


In natural spruce stands, a change of generation is usually initiated by wind or bark beetle disturbances. We combined semi-temporary monitoring plots, remote sensing, and GIS in order to understand and model these processes. Sub plots, called “active”, were located in areas with a high probability of bark beetle or wind disturbances. The optimal location of these plots is usually at an active forest edge, i.e., the zone of maximal change in bark beetle abundance over time, corresponding to the border between wind-damaged or bark beetle-attacked parts and undisturbed parts of a forest stand. The key variable investigated was tree mortality caused by bark beetles. Other variables were similar to those recorded in traditional forest monitoring. Tree defense indicators (resin flow, phenolic compounds) and reaction of a tree to bark beetle inoculation were measured. Terrestrial data were then combined with remote sensing data. Time series of satellite images were analyzed in order to define the pattern of wind and bark beetle damages. Weather monitoring data were used for predicting bark beetle and water stress development. All of the information was integrated in a GIS-based system and future bark beetle infestations were predicted. In this paper, we review previous studies and conclude that: (1) the hypotheses of habitat selection (non-host volatiles and semiochemical diversity) and location of moderately-stressed host trees are confirmed, although further work about olfactory orientation and host resistance is needed;(2) reactions of trees to bark beetle attack can be predicted by monitoring several parameters, e.g., air temperature and tree physiology; (3) data from ground monitoring can be integrated with GIS and remote sensing systems for bark beetle prognosis and management at the habitat and landscape levels.

  Keywords


Spruce, Ips typographus, Attack, Drought, Host

Authors’ address

(1)
R Jakus
M Blaženec
M Ježík
Institute of Forest Ecology, Slovak Academy of Sciences, Stúrova 2, 960 53 Zvolen (Slovakia)
(2)
L Zajíčkova
M Turčani
Department of Forest Protection and Wildlife Management, Faculty of Forestry and Wood Sciences, Czech University of Life Sciences Prague, Kamýcká 1176, 165 00 Praha-Suchdol (Czech Republic)
(3)
P Cudlín
Institute of Systems Biology and Ecology, Academy of Sciences of the Czech Republic, Na Sádkách 7, 370 05 Ceské Budejovice (Czech Republic)
(4)
F Lieutier
University of Orleans, LBLGC, UPRES EA 1207, rue de Chartres, BP 6759, F-45067 Orleans Cedex 2 (France)
(5)
F Schlyter
Chemical Ecology, Department of Plant Protection Biology, Swedish University of Agricultural Sciences (SLU), PO Box 102, SE-230 53 Alnarp (Sweden)

Corresponding author

Citation

Jakus R, Zajíčkova L, Cudlín P, Blaženec M, Turčani M, Ježík M, Lieutier F, Schlyter F (2011). Landscape-scale Ips typographus attack dynamics: from monitoring plots to GIS-based disturbance models. iForest 4: 256-261. - doi: 10.3832/ifor0589-004

Paper history

Received: Dec 23, 2010
Accepted: Apr 26, 2011

First online: Dec 13, 2011
Publication Date: Dec 13, 2011
Publication Time: 7.70 months

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List of the papers citing this article based on CrossRef Cited-by.

 
(1)
Akkuzu E, Sariyildiz T, Kucuk M, Duman A (2009)
Ips typographus (L.) and Thanasimus formicarius (L.) populations influenced by aspect and slope position in Artvin-Hatila valley national park, Turkey. African Journal of Biotechnology 8: 877-882.
Gscholar
(2)
Anderbrant O, Schlyter F, Lofqvist J (1988)
Dynamics of tree attack in the bark beetle Ips typographus under semi-epidemic conditions. In: “Integrated control of scolytid bark beetles” (Payne TK, Saarenmaa H eds). Virginia Tech Press, Blacksburg, VA, USA, pp. 35-52.
Gscholar
(3)
Anderson RF (1948)
Host selection by the pine engraver. Journal of Economic Entomology 41: 596-602.
Gscholar
(4)
Andersson M, Larsson MC, Blazenec M, Zhang QH, Jakuš R, Schlyter F (2010)
Peripheral modulation of pheromone response by inhibitory host compound in a beetle. Journal of Experimental Biology 213 (19): 3332-3339.
CrossRef | Gscholar
(5)
Andersson MN, Larsson MC, Schlyter F (2009)
Specificity and redundancy in the olfactory system of the bark beetle Ips typographus: single-cell responses to ecologically relevant odors. Journal of Insect Physiology 55 (6): 556-567.
CrossRef | Gscholar
(6)
Baier P, Bader R (1997)
Gehalt und emission von monoterpenen der fichtenrinde und deren bedeutung für die primärattraktion von borkenkäfern (Coleoptera, Scolytidae). Mitteilungen der Deutschen Gesellschaft fur Allgemeine und Angewandte Entomologie 11: 639-643.
Gscholar
(7)
Baier P, Pennerstorfer J, Schopf A (2007)
PHENIPS -A comprehensive phenology model of Ips typographus (L.) (Col., Scolytinae) as a tool for hazard rating of bark beetle infestation. Forest Ecology and Management 249 (3): 171-186.
CrossRef | Gscholar
(8)
Brignolas F, Lieutier F, Sauvard D, Christiansen E, Berryman AA (1998)
Phenolic predictors for Norway spruce resistance to the bark beetle Ips typographus (Coleoptera : Scolytidae) and an associated fungus, Ceratocystis polonica. Canadian Journal of Forest Research 28: 720-728.
CrossRef | Gscholar
(9)
Byers J (1996)
An encounter rate model of bark beetle populations searching at random for susceptible host trees. Ecological Modelling 91 (1-3): 57-66.
CrossRef | Gscholar
(10)
Christiansen E, Waring RH, Berryman AA (1987)
Resistance of conifers to bark beetle attack: searching for general relationships. Forest Ecology and Management 22 (1-2): 89-106.
CrossRef | Gscholar
(11)
Faccoli M, Schlyter F (2007)
Conifer phenolic resistance markers are bark beetle antifeedant semiochemicals. Agricultural and Forest Entomology 9 (3): 237-245.
CrossRef | Gscholar
(12)
Führer E, Lindenthal J, Baier P (1997)
Tree mortality in spruce: relationships between the premortal tree vigour dynamics and attack by bark-breeding insects. Mitteilungen der Deutschen Gesellschaft fur Allgemeine und Angewandte Entomologie 11: 645-648. [in German].
Gscholar
(13)
Gries G, Nolte R, Sanders W (1989)
Computer simulated host selection in Ips typographus. Entomologia experimentalis et applicata 53 (3): 211-217.
CrossRef | Gscholar
(14)
Grodzki W, Jakuš R, Gazda M (2003)
Patterns of bark beetle occurrence in Norway spruce stands of national parks in Tatra Mts Poland and Slovakia. Journal of Pest Science 76 (3): 78-82.
CrossRef | Gscholar
(15)
Grodzki W, Jakuš R, Lajzová E, Sitková Z, Maczka T, Skvarenina J (2006)
Effects of intensive versus no management strategies during an outbreak of the bark beetle Ips typographus (L.) (Col.: Curculionidae, Scolytinae) in the Tatra Mts. in Poland and Slovakia. Annals of Forest Science 63 (1) : 55-61.
CrossRef | Gscholar
(16)
Grodzki W, Turčáni M, Jakuš R, Hlásny T, Raši R, McManus M (2010)
Bark beetles in the Tatra Mountains. International research 1998 - 2005 - an overview. Folia Forestalia Polonica 52: 114-130.
Gscholar
(17)
Hais M, Kučera T (2008)
Surface temperature change of spruce forest as a result of bark beetle attack: remote sensing and GIS approach. European Journal of forest Research 127 (4): 327-336.
CrossRef | Gscholar
(18)
Hlásny T, Turčáni M (2009)
Insect pests as climate change driven disturbances in forest ecosystems. In: “Bioclimatology and natural hazards” (Strelcová K, Mátyás C, Kleidon A, Lapin M, Matejka F, Blaženec M, Skvarenina J, Holécy J eds). Springer, The Netherlands, pp. 165-177.
CrossRef | Gscholar
(19)
Jactel H, Birgersson G, Andersson S, Schlyter F (2011)
Non-host volatiles mediate associational resistance to the pine processionary moth. Oecologia 166 (3): 703-711.
CrossRef | Gscholar
(20)
Jakuš R (1995)
Bark beetle (Coleoptera: Scolytidae) communities and host and site factors on tree level in Norway spruce primeval natural forest. Journal of Applied Entomology 119: 643 - 651.
Gscholar
(21)
Jakuš R (2001)
Bark beetle (Coleoptera: Scolytidae) outbreak and system of IPM measures in area affected by intensive forest decline connected with honey fungus (Armillaria sp.). Journal of pest science 74: 46 - 51.
Gscholar
(22)
Jakuš R, Grodzki W, Ježik M, Jachym M (2003a)
Definition of spatial patterns of bark beetle Ips typographus (L.) outbreak spreading in Tatra Mountains (central Europe), using GIS. In: “Ecology, survey and management of forest insects” (Mc Manus M, Liebhold A eds). Proceedings of the conference GTR NE-311, USDA Forest Service, Newtown Square, PA, USA, pp. 25-32.
Gscholar
(23)
Jakuš R, Schlyter F, Zhang Q-H, Blazenec M, Vavercák R, Grodzki W, Brutovský D, Lajzová E, Bengtsson M, Blum Z, Turcáni M, Gregoiré J-C (2003b)
Overview of development of anti-attractant based technology for spruce protection against Ips typographus: from past failures to future success. Journal of Pest Science 76 (4): 89-99.
CrossRef | Gscholar
(24)
Jakuš R, Ježik M, Kissiyar O, Blaženec M (2005)
Prognosis of bark beetle attacks in TANABBO model. In: “GIS and databases in the forest protection in Central Europe” (Grodzki W ed). Forest Reseach Institute, Krakow, Poland, pp. 35-43.
Gscholar
(25)
Jakuš R (2006)
Analysis of causes and possible measures against mass dieback of spruce stands in border regions of north Slovakia. Final Research Report from the Project APVT-51-019302, Institute of forest ecology, SAS Zvolen, pp. 195. [In Slovak]
Gscholar
(26)
Jones HG, Schofield P (2008)
Thermal and other remote sensing of plant stress. General and Applied Plant Physiology 34: 19-32.
Gscholar
(27)
Kissiyar O, Blaženec M, Jakuš R, Willekens A, Ježík M, Baláž P, Van Valckenborg J, Celer S, Fleischer P (2005)
TANABBO model - A remote sensing based early warming system for forest decline and bark beetle outbreaks in Tatra Mts. -overview. In: GIS and databases in the forest protection in Central Europe (Grodzki W ed). Forest Reseach Institute, Krakow, Poland, pp. 15-34.
Gscholar
(28)
Kurz W, Dymond C, Stinson G, Rampley G, Neilson E, Carroll A, Ebata T, Safranyik L (2008)
Mountain pine beetle and forest carbon feedback to climate change. Nature 452 (7190): 987-990.
CrossRef | Gscholar
(29)
Lieutier F, Brignolas F, Yart A, Grodski W, Jakuš R, Sauvard D (2003)
Field validation of phenolics as predictors of Norway spruce resistance to Ips typographus attacks during a finishing outbreak. In: Proceedings of the IUFRO Working Party Meeting “Forest insect population dynamics and host influences”. Kanazawa (Japan) 14-19 September 2003, pp. 14-19.
Gscholar
(30)
Malenovský Z, Martin E, Homolova L, Gastellu-Etchegorry J, Zurita-Milla R, Schaepman M, Pokorný R, Clevers J, Cudlin P (2008)
Influence of woody elements of a Norway spruce canopy on nadir reflectance simulated by the DART model at very high spatial resolution. Remote Sensing of Environment 112 (1): 1-18.
CrossRef | Gscholar
(31)
Manion PD (1981)
Tree disease concepts. Prentice-Hall, Englewood Cliffs, NJ, USA, pp. 399.
Gscholar
(32)
Moravec I, Cudlín P, Polák T, Havlíček F (2002)
Spruce bark beetle (Ips typographus L.) infestation and Norway spruce status: is there a causal relationship? Silva Gabreta 8: 255-264.
Gscholar
(33)
Nelson W, Lewis M (2008)
Connecting host physiology to host resistance in the conifer-bark beetle system. Theoretical Ecology 1 (3): 163-177.
CrossRef | Gscholar
(34)
Netherer S, Pennerstorfer J (2001)
Parameters relevant for modelling the potential development of Ips typographus (Coleoptera: Scolytidae). Integrated Pest Management Reviews 6 (3-4): 177-184.
CrossRef | Gscholar
(35)
Netherer S, Noppmayr U (2005)
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. Forest Ecology and Management 207 (1): 99-107.
CrossRef | Gscholar
(36)
Polák T, Cudlin P, Moravec I, Albrechtova J (2007)
Macroscopic indicators for the retrospective assessment of Norway spruce crown response to stress in the Krkonoše Mountains. Trees - Structure and Function 21 (1): 23-35.
CrossRef | Gscholar
(37)
Raffa K, Aukema B, Bentz B, Carroll A, Hicke J, Turner M, Romme W (2008)
Cross-scale drivers of natural disturbances prone to anthropogenic amplification: the dynamics of bark beetle eruptions. Bioscience 58 (6): 501-517.
CrossRef | Gscholar
(38)
Schiebe C, Blazenec M, Jakus R, Unelius CR, Schlyter F (2011)
Semiochemical diversity diverts bark beetle attacks from Norway spruce edges. Journal of Applied Entomology
CrossRef | Gscholar
(39)
Schlyter F, Birgersson G (1999)
Forest beetles. In: “Pheromones in non-lepidopteran insects associated with agricultural plants” (Hardie J, Minks AK eds). CAB International, Oxford, UK, pp. 113-148.
Gscholar
(40)
Schlyter F (2001)
Integrated risk assessment and new pest management technology in ecosystems affected by forest decline and bark beetle outbreaks "TATRY". Final report of EU INCO Copernicus project IC15-CT98-0151 2001.
Online | Gscholar
(41)
Schopf R, Köhler U (1995)
Untersuchungen zur populationsdynamik der fichtenborkenkäfer im nationalpark bayerischer Wald. In: “Nationalpark Bayerischer wald-25 jahre auf dem weg zum naturwald” (Biberlriether H ed). Passavia Druckerei GmbH, Passau, Germaby, pp. 88-110.
Gscholar
(42)
Soukupová J, Rock B, Albrechtová J (2001)
Comparative study of two spruce species in a polluted mountainous region. New Phytologist 150 (1): 133-145.
CrossRef | Gscholar
(43)
Stage AR (1973)
Prognosis model for stand development. Research Paper INT-137, Intermountain Forest and Range Experiment Station, USDA Forest Service, Ogden, Utah, pp. 40.
Gscholar
(44)
Turčáni M, Nakládal O (2007)
The results of manipulated experiments with inoculation of Ips typographus (L., 1758) to spruce trees under various levels of water stress. Journal of Forest Science 53: 25-30.
Gscholar
(45)
Turčáni M, Vojtech O, Jakuš R (2008)
Bark beetle influencing on forest ecosystems. In: “Forest ecosystems in NP Sumava” (Vacek S, Krejči F, Grodzki W eds). Lesnícka Práce, Czech Republic, pp. 325-412.[In Czech].
Gscholar
(46)
Urbanek Krajnc A, Kristl J, Ivancic A (2010)
Application of salicylic acid induces antioxidant defense responses in the phloem of Picea abies and inhibits colonization by Ips typographus. Forest Ecology and Management 261 (3): 416-426.
CrossRef | Gscholar
(47)
Van Mantgem P, Stephenson N, Byrne J, Daniels L, Franklin J, Fule P, Harmon M, Larson A, Smith J, Taylor A (2009)
Widespread increase of tree mortality rates in the western United States. Science 323 (5913): 521-524.
CrossRef | Gscholar
(48)
Zajickova L, Matousek P (2010)
The effect of drought on stem volume changes of Norway spruce. Scientia Agriculturae Bohemica (in the press).
Gscholar
(49)
Zhang QH, Schlyter F (2003)
Redundancy, synergism, and active inhibitory range of non-host volatiles in reducing pheromone attraction in European spruce bark beetle Ips typographus. Oikos 101 (2): 299-310.
CrossRef | Gscholar
(50)
Zhang QH, Schlyter F (2004)
Olfactory recognition and behavioural avoidance of angiosperm non-host volatiles by conifer bark beetles. Agricultural and Forest Entomology 6 (1): 1-20.
CrossRef | Gscholar
(51)
Zhang QH, Schlyter F (2010)
Inhibition of predator attraction to kairomones by non-host plant volatiles for herbivores: a bypass-trophic signal. PLoS One 5: e11063.
CrossRef | Gscholar
(52)
Zhao T, Krokene P, Björklund N, Långström B, Solheim H, Christiansen E, Borg-Karlson AK (2010)
The influence of Ceratocystis polonica inoculation and methyl jasmonate application on terpene chemistry of Norway spruce, Picea abies. Phytochemistry 71 (11-12): 1332-1341.
CrossRef | Gscholar
 

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