Über das schädliche Auftreten der <i>Diprion</i>‐ Arten (<i>Hym., Diprionidae</i>) in finnischen Kiefernbeständen in diesem Jahrhundert

Kangas, E.

doi:10.1111/j.1439-0418.1962.tb04077.x

Cited by 23 publications

(8 citation statements)

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“… Past and current Diprion pini outbreaks in Finland (based on data by Kangas, 1963; Viitasaari & Varama, 1987; Anderbrant et al , 2000; and Lyytikäinen‐Saarenmaa & Tomppo, 2002). …”

Section: Introductionmentioning

confidence: 99%

“…1). Published records of D. pini outbreaks in Finland date back as far as 1866 (Kangas, 1963), and yearly observations of forest insect damage have been carried out in Finland from 1894 onwards (Kangas, 1963). Given Finland’s long history of inventorying its forests (Kangas, 1963; Nyyssönen, 1997; Sevola, 2000), it is obvious that no D. pini outbreaks of the same magnitude as the one recently observed have occurred in the Finnish forests in the past century and a half because such an event would have undoubtedly been documented.…”

Section: Introductionmentioning

confidence: 99%

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Stand edge effects on distribution and condition of Diprionid sawflies

Somviele

Lyytikäinen‐Saarenmaa

Niemelä

2006

Agri and Forest Entomology

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1 We investigated stand edge effects on Diprion pini cocoon condition and distribution after an outbreak of unprecedented magnitude in Finland. We hypothesized that forest fragmentation and the resulting proportional increase in stand edge habitats may have led to the increase in outbreak area: D. pini may profit from edge habitats and so escape its control mechanisms more easily. This hypothesis was based on the observation that no outbreak occurred in neighbouring Russian Karelia, where the proportion of edge habitats between different stand types and/or successional stages is significantly less than in Finland. 2 To test the hypothesis, we determined the amount and condition of cocoons in an outbreak area, along transects going from stand centres through edge habitats, towards neighbouring stand centres. 3 Both the total number and number of cocoons in different conditions varied significantly between edges and centres. The effects were more pronounced when age difference between neighbouring stands increased. 4 Edge habitats did not benefit D. pini . Both the total number and number of hatched cocoons were consistently higher in centre than in edge habitats. 5 Defoliation was unrelated to distance from the edge, even on transects where cocoon density and condition was correlated to distance from the edge . 6 We conclude that edge habitats have an inhibitive effect on D. pini densities, and therefore our original hypothesis was rejected. The importance of small mammals to D. pini mortality was demonstrated, and we suggest further investigation of this predator -prey relationship because of its potential for limiting outbreak risk and/or damage through silvicultural measures.

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“… Past and current Diprion pini outbreaks in Finland (based on data by Kangas, 1963; Viitasaari & Varama, 1987; Anderbrant et al , 2000; and Lyytikäinen‐Saarenmaa & Tomppo, 2002). …”

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Stand edge effects on distribution and condition of Diprionid sawflies

Somviele

Lyytikäinen‐Saarenmaa

Niemelä

2006

Agri and Forest Entomology

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“…There are eleven sympatric pine sawfly species in Northern Europe feeding on Scots pine (Kontuniemi 1960). Out of them, outbreaks by five species have been recorded in Finland (Kangas 1963). In here, defoliation by the larval stage of the two major pine sawfly species in Finland, the common pine sawfly, and the European pine sawfly are discussed.…”

Section: Pine Sawflies (I II V)mentioning

confidence: 90%

“…This kind of pattern is characteristics for the common pine sawfly (Geri 1988). Kangas (1963) raised a possibility that the European pine sawfly may have a 30-year cycle in the regional outbreaks. However, this cyclic pattern has not been confirmed (Hanski 1987).…”

Section: Pine Sawflies (I II V)mentioning

confidence: 99%

Forest health monitoring in transition: Evaluating insect-induced disturbances in forested landscapes at varying spatial scales

Kantola¹

2019

Diss. For.

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“…and Diprion pini L.) are a common problem in boreal pine forests of Northern Europe (Hanski 1987;Juutinen 1967;Kangas 1963;Larsson and Tenow 1984). The outbreaks of pine sawflies typically occur at irregular intervals (Juutinen 1967;Soubeyrand et al 2010), and they tend to be preceded by drought periods Tenow 1983, 1984).…”

Section: Introductionmentioning

confidence: 99%

Vulnerability to pine sawfly damage decreases with site fertility but the opposite is true with Scleroderris canker damage; results from Finnish ICP Forests and NFI data

Nevalainen¹,

Sirkiä²,

Peltoniemi

et al. 2015

Annals of Forest Science

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Abstract& Key message The probability of pine sawfly damage was highest in drier sites, while Gremmeniella abietina damage showed an opposite pattern. ICP Forests and rolling National Forest Inventory (NFI) data have good potential for quantifying patterns in damage occurrence, but region-wise NFIs may produce biased results.& Context Factors affecting the occurrence of important biotic damage on Pinus sylvestris were studied with data from largescale forest monitoring networks. & Aims We tested how much the probability of damage caused by pine sawflies (Neodiprion sertifer Geoffr. and Diprion pini L.) and G. abietina (Lagerb. (Morelet)) differed between different forest site types and the effects of relevant climatic factors on damage probabilities. & Methods Long-term damage observations from ICP Forests Level 1 monitoring and National Forest Inventory (NFI) data were used. In addition to the traditional frequentist approach, we used a hierarchical Bayesian (HB) framework with the ICP Forests data to model the probabilities of pine sawfly outbreaks starting and continuing. & Results The probability of pine sawfly damage was highest in drier sites while the probabilities for G. abietina damage showed an opposite pattern. The HB analysis revealed clear differences between forest site types in the probability of outbreak starting, but the differences in the probabilities of outbreaks continuing were not clear. & Conclusion ICP Forests and rolling NFI data have good potential for quantifying patterns in damage occurrence, but annually region-wise NFIs may produce biased results.

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Über das schädliche Auftreten der Diprion‐ Arten (Hym., Diprionidae) in finnischen Kiefernbeständen in diesem Jahrhundert

Cited by 23 publications

References 0 publications

Stand edge effects on distribution and condition of Diprionid sawflies

Stand edge effects on distribution and condition of Diprionid sawflies

Forest health monitoring in transition: Evaluating insect-induced disturbances in forested landscapes at varying spatial scales

Vulnerability to pine sawfly damage decreases with site fertility but the opposite is true with Scleroderris canker damage; results from Finnish ICP Forests and NFI data

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