Short-term forecasting of bark beetle outbreaks on two economically important conifer tree species
暂无分享,去创建一个
[1] L. Marini,et al. Climate affects severity and altitudinal distribution of outbreaks in an eruptive bark beetle , 2012, Climatic Change.
[2] A. Battisti,et al. Forest Insects and Climate Change , 2018, Current Forestry Reports.
[3] R Core Team,et al. R: A language and environment for statistical computing. , 2014 .
[4] Ales Poljanec,et al. Do changes in spatial distribution, structure and abundance of silver fir (Abies alba Mill.) indicate its decline? , 2011 .
[5] C. Bigler,et al. A predictive framework to assess spatio‐temporal variability of infestations by the European spruce bark beetle , 2013 .
[6] Beat Wermelinger,et al. Ecology and management of the spruce bark beetle Ips typographus—a review of recent research , 2004 .
[7] P. Baier. Defence reactions of Norway spruce (Picea abies Karst.) to controlled attacks of Ips typographus (L.) (Col., Scolytidae) in relation to tree parameters , 1996 .
[8] M. de Groot,et al. Forest management history is an important factor in bark beetle outbreaks: Lessons for the future , 2019, Forest Ecology and Management.
[9] M. Faccoli. Effect of Weather on Ips typographus (Coleoptera Curculionidae) Phenology, Voltinism, and Associated Spruce Mortality in the Southeastern Alps , 2009, Environmental entomology.
[10] David R. Anderson,et al. Model selection and multimodel inference : a practical information-theoretic approach , 2003 .
[11] Robert B. Jackson,et al. © 2001 Kluwer Academic Publishers. Printed in the Netherlands. The distribution of soil nutrients with depth: Global patterns and the imprint of plants , 2022 .
[12] H. Davi,et al. Individual vulnerability factors of Silver fir (Abies alba Mill.) to parasitism by two contrasting biotic agents: mistletoe (Viscum album L. ssp. abietis) and bark beetles (Coleoptera: Curculionidae: Scolytinae) during a decline process , 2012, Annals of Forest Science.
[13] H. Davi,et al. Drought-induced decline and mortality of silver fir differ among three sites in Southern France , 2013, Annals of Forest Science.
[14] A. Bončina,et al. Ecology and silviculture of silver fir (Abies alba Mill.): a review , 2017 .
[15] Miroslav Svoboda,et al. Forest disturbances under climate change. , 2017, Nature climate change.
[16] Jonas Fridman,et al. Factors affecting the probability of windthrow at stand level as a result of Gudrun winter storm in southern Sweden , 2011 .
[17] P. Fulé,et al. Modeling the Impacts of Two Bark Beetle Species Under a Warming Climate in the Southwestern USA: Ecological and Economic Consequences , 2009, Environmental management.
[18] Alain F. Zuur,et al. A protocol for data exploration to avoid common statistical problems , 2010 .
[19] M. Faccoli,et al. A practical method for predicting the short‐time trend of bivoltine populations of Ips typographus (L.) (Col., Scolytidae) , 2006 .
[20] R. Hofstetter,et al. Bark Beetles: Biology and Ecology of Native and Invasive Species , 2015 .
[21] A. Fraser. The Soil and Roots as Factors in Tree Stability , 1962 .
[22] Daniele de Rigo,et al. European atlas of forest tree species , 2016 .
[23] S. Eigenbrode,et al. Complex responses of global insect pests to climate change , 2018 .
[24] Martin Schroeder,et al. Climate drivers of bark beetle outbreak dynamics in Norway spruce forests , 2017 .
[25] O. Yıldız,et al. Effects of different ecological and silvicultural factors on beetle catches in the Turkish fir (Abies bornmülleriana Mattf.) ecosystems , 2007, Journal of Pest Science.
[26] Erin T. Hamanishi,et al. Genome-wide responses to drought in forest trees , 2011 .
[27] P. Kramer,et al. Physiology of trees. , 1961 .
[28] J. Urban. Diagnostics of bark beetles of the genus Pityokteines Fuchs important in forestry , 2002 .
[29] F. Chapin,et al. Influence of phosphorus on growth and biomass distribution of Alaskan taiga tree seedlings , 1983 .
[30] John Bell,et al. A review of methods for the assessment of prediction errors in conservation presence/absence models , 1997, Environmental Conservation.
[31] A. Berryman,et al. Resource dynamic plays a key role in regional fluctuations of the spruce bark beetles Ips typographus , 2004 .
[32] H. Kahle,et al. Drought sensitivity of Norway spruce is higher than that of silver fir along an altitudinal gradient in southwestern Germany , 2012, Annals of Forest Science.
[33] M. Pernek. ULOGA JELOVIH KRIVOZUBIH POTKORNJAKA U SUŠENJU JELE I MOGUĆNOSTI PRIMJENE FEROMONSKIH KLOPKI ZA NJIHOV MONITORING THE ROLE OF BARK BEETLES IN SILVER FIR DECLINE AND POSSIBLE USE OF PHEROMONE TRAPS FOR THE MONITORING , 2011 .
[34] Ivan Pilas,et al. The influence of climate and soil properties on calcium nutrition and vitality of silver fir (Abies alba Mill.). , 2005, Environmental pollution.
[35] Modelling the predisposition of Norway spruce to Ips typographus L. infestation by means of environmental factors in southern Finland , 2018, European Journal of Forest Research.
[36] Marco Heurich,et al. Spatio-temporal infestation patterns of Ips typographus (L.) in the Bavarian Forest National Park, Germany , 2013 .
[37] J. Grégoire,et al. Bark and Wood Boring Insects in Living Trees in Europe, a Synthesis , 2004, Springer Netherlands.
[38] D. Bates,et al. Fitting Linear Mixed-Effects Models Using lme4 , 2014, 1406.5823.
[39] J. Negrón,et al. The effectiveness of vegetation management practices for prevention and control of bark beetle infestations in coniferous forests of the western and southern United States , 2007 .
[40] M. Lexer,et al. Drivers of the bark beetle disturbance regime in Alpine forests in Austria , 2014 .
[41] Maja Jurc,et al. Sanitary felling of Norway spruce due to spruce bark beetles in Slovenia: A model and projections for various climate change scenarios , 2010 .
[42] S. Vicente‐Serrano,et al. Standardized precipitation evapotranspiration index (SPEI) revisited: parameter fitting, evapotranspiration models, tools, datasets and drought monitoring , 2014 .
[43] P. Reich,et al. Tree Species Effects on Soil Organic Matter Dynamics: The Role of Soil Cation Composition , 2007, Ecosystems.
[44] Alf Bakke,et al. Host tree and bark beetle interaction during a mass outbreak of Ips typographus in Norway1 , 2009 .
[45] T. Rötzer,et al. Dendroecological assessment of the complex causes of decline and recovery of the growth of silver fir (Abies alba Mill.) in Southern Germany , 2009 .
[46] A. NagelThomas,et al. Simultaneous influence of canopy decline and deer herbivory on regeneration in a conifer–broadleaf forest , 2015 .
[47] 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 .
[48] E. Christiansen,et al. The Spruce Bark Beetle of Eurasia , 1988 .
[49] A. Kobler,et al. The effects of a large-scale ice storm event on the drivers of bark beetle outbreaks and associated management practices , 2018 .
[50] Lars Wichmann,et al. The spread of Ips typographus (L.) (Coleoptera, Scolytidae) attacks following heavy windthrow in Denmark, analysed using GIS , 2001 .
[51] G. Moisen,et al. PresenceAbsence: An R Package for Presence Absence Analysis , 2008 .
[52] Litao Wang,et al. Early Warning and Monitoring System for Forest and Grassland Fires by remote sensing data , 2004, IGARSS 2004. 2004 IEEE International Geoscience and Remote Sensing Symposium.
[53] C. Bigler,et al. Spatial interactions between storm damage and subsequent infestations by the European spruce bark beetle , 2014 .
[54] J. Diaci,et al. The natural disturbance regime in forests of the Dinaric Mountains: A synthesis of evidence , 2017 .
[55] A. Jönsson,et al. Modeling bark beetle response to climate change , 2015 .
[56] S. Vicente‐Serrano,et al. A Multiscalar Drought Index Sensitive to Global Warming: The Standardized Precipitation Evapotranspiration Index , 2009 .
[57] Milan Kobal,et al. Patterns and drivers of ice storm damage in temperate forests of Central Europe , 2016, European Journal of Forest Research.
[58] Lejiang Guo,et al. Research and implementation of forest fire early warning system based on UWB wireless sensor networks , 2010, 2010 Second International Conference on Communication Systems, Networks and Applications.