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Pregled bibliografske jedinice broj: 181624

Modelling two Spruce Bark Beetle Populations (Scolytidae: Ips typographus, Pityogenes chalcographus) in Southwestern Slovenia: A Tool in the Management of Economically Important Species


Jurc, Maja; Perko, Marko; Džeroski, Sašo; Demšar, Damjan; Hrašovec, Boris
Modelling two Spruce Bark Beetle Populations (Scolytidae: Ips typographus, Pityogenes chalcographus) in Southwestern Slovenia: A Tool in the Management of Economically Important Species // The Fourth European Conference on Ecological Modelling (ECEM 2004) / Džeroski, Sašo ; Debeljak, Marko ; Ženko, Bernard (ur.).
Ljubljana: Institut Jožef Stefan, 2004. str. 69-70 (predavanje, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 181624 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Modelling two Spruce Bark Beetle Populations (Scolytidae: Ips typographus, Pityogenes chalcographus) in Southwestern Slovenia: A Tool in the Management of Economically Important Species

Autori
Jurc, Maja ; Perko, Marko ; Džeroski, Sašo ; Demšar, Damjan ; Hrašovec, Boris

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Izvornik
The Fourth European Conference on Ecological Modelling (ECEM 2004) / Džeroski, Sašo ; Debeljak, Marko ; Ženko, Bernard - Ljubljana : Institut Jožef Stefan, 2004, 69-70

Skup
The Fourth European Conference on Ecological Modelling (ECEM 2004)

Mjesto i datum
Bled, Slovenija, 27.09.2004. - 01.10.2004

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
bark beetles; population modelling; environmental management; machine learning; regression trees

Sažetak
Preliminary results of the analysis of data on two bark beetle species were presented for the area of SW Slovenia. Period of 15 years of population density monitoring data for Ips typographus and 8 year period for Pityogenes chalcographus served as a basis for machine learning methodological approach analyzing gathered data to find dependencies between environmental data (such as exposition, age of lures in pheromone traps, average monthly temperature, monthly rainfall and more) and the number of trapped beetles (their population densities) in the former year's record. As a result of this study average monthly temperature and previous year's number of trapped beetles appeared to be the most important predicting factor for the next year's population densities. There also appeares to be a strong positive correlation between the N and E slopes and the number of I. typographus catches while the same relation existed between W and N slopes and number of trapped P, chalcographus beetles.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Računarstvo, Šumarstvo



POVEZANOST RADA


Projekti:
0068115

Ustanove:
Fakultet šumarstva i drvne tehnologije

Profili:

Avatar Url Boris Hrašovec (autor)


Citiraj ovu publikaciju:

Jurc, Maja; Perko, Marko; Džeroski, Sašo; Demšar, Damjan; Hrašovec, Boris
Modelling two Spruce Bark Beetle Populations (Scolytidae: Ips typographus, Pityogenes chalcographus) in Southwestern Slovenia: A Tool in the Management of Economically Important Species // The Fourth European Conference on Ecological Modelling (ECEM 2004) / Džeroski, Sašo ; Debeljak, Marko ; Ženko, Bernard (ur.).
Ljubljana: Institut Jožef Stefan, 2004. str. 69-70 (predavanje, međunarodna recenzija, sažetak, znanstveni)
Jurc, M., Perko, M., Džeroski, S., Demšar, D. & Hrašovec, B. (2004) Modelling two Spruce Bark Beetle Populations (Scolytidae: Ips typographus, Pityogenes chalcographus) in Southwestern Slovenia: A Tool in the Management of Economically Important Species. U: Džeroski, S., Debeljak, M. & Ženko, B. (ur.)The Fourth European Conference on Ecological Modelling (ECEM 2004).
@article{article, author = {Jurc, Maja and Perko, Marko and D\v{z}eroski, Sa\v{s}o and Dem\v{s}ar, Damjan and Hra\v{s}ovec, Boris}, year = {2004}, pages = {69-70}, keywords = {bark beetles, population modelling, environmental management, machine learning, regression trees}, title = {Modelling two Spruce Bark Beetle Populations (Scolytidae: Ips typographus, Pityogenes chalcographus) in Southwestern Slovenia: A Tool in the Management of Economically Important Species}, keyword = {bark beetles, population modelling, environmental management, machine learning, regression trees}, publisher = {Institut Jo\v{z}ef Stefan}, publisherplace = {Bled, Slovenija} }
@article{article, author = {Jurc, Maja and Perko, Marko and D\v{z}eroski, Sa\v{s}o and Dem\v{s}ar, Damjan and Hra\v{s}ovec, Boris}, year = {2004}, pages = {69-70}, keywords = {bark beetles, population modelling, environmental management, machine learning, regression trees}, title = {Modelling two Spruce Bark Beetle Populations (Scolytidae: Ips typographus, Pityogenes chalcographus) in Southwestern Slovenia: A Tool in the Management of Economically Important Species}, keyword = {bark beetles, population modelling, environmental management, machine learning, regression trees}, publisher = {Institut Jo\v{z}ef Stefan}, publisherplace = {Bled, Slovenija} }




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