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Query: "keywords" (Ips typographus) .

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Učinkovitost ulova smrekovih podlubnikov v dvojne in trojne kontrolno-lovne pasti
Nikica Ogris, 2022, original scientific article

Abstract: Osmerozobi smrekov lubadar (Ips typographus) in šesterozobi smrekov lubadar (Pityogenes chalcographus sta najpomembnejša škodljivca navadne smreke (Picea abies) v osrednji Evropi in tudi v Sloveniji. Kontrolno-lovne pasti, opremljene s feromonskimi vabami, uporabljamo za ocenjevanje številčnosti smrekovih podlubnikov. Cilj raziskave je bil izračunati povprečno razmerje (mediano) ulova osmerozobega smrekovega lubadarja in šesterozobega smrekovega lubadarja med dvojnimi in enojnimi ter trojnimi in enojnimi kontrolno-lovnimi pastmi. Za ta namen smo uporabili podatke s spremljanja številčnosti smrekovih podlubnikov v režastih pasteh vrste Theysohn, tj. uporabili smo podatke iz 19.140 enojnih pasti, 4.347 dvojnih pasti in 991 trojnih pasti, ki jih je Zavod za gozdove Slovenije spremljal v letih 2013–2021. V dvojno past se je povprečno ujelo 1,17-krat več osebkov I. typographus kot v enojno. Ulov šesterozobega smrekovega lubadarja v dvojno past je bil v povprečju enak kot v enojni pasti. Ulov osmerozobega smrekovega lubadarja v trojno past je bil v povprečju 1,58-krat večji kot v enojno. V trojno past se je povprečno ujelo 1,54-krat več osebkov P. chalcographus kot v enojno. Preverili smo tudi vpliv izbranih dejavnikov na razmerje ulova v pasteh: (1) razlika v začetku spremljanja; (2) razlika v nadmorski višini; (3) pasti je čistila ista oseba; (4) oddaljenost od druge pasti; (5) razlika v razdalji do najbližjega žarišča. Na mediano razmerja ulova je najbolj vplivala oddaljenost od drugih pasti. Na mediano razmerja ulova I. typographus v trojno past sta zaznavno vplivala tudi začetek spremljanja in razlika v nadmorski višini med primerjanima pastema. Ničen vpliv na mediano razmerja med trojno in enojno pastjo je imel pogoj, da je pasti čistila ista oseba. Izračunana povprečja bomo uporabili za točnejši preračun kumulativnega ulova v dvojne in trojne kontrolno-lovne pasti na eno past, saj smo za to doslej uporabljali konstanti dve za dvojne in tri za trojne pasti, kar je bistveno več od dejanskih razmerij. To bo pripomoglo k zanesljivejšim ocenam o prenamnožitvah na lokacijah pasti, kjer uporabljamo podatke iz spremljanja ulova v dvojne in trojne kontrolno-lovne pasti.
Keywords: osmerozobi smrekov lubadar, Ips typographus, šesterozobi smrekov lubadar, Pityogenes chalcographus, kontrolno-lovna past, abundanca, učinkovitost ulova, režasta past vrste Theysohn
Published in DiRROS: 17.10.2022; Views: 568; Downloads: 131
.pdf Full text (2,69 MB)

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Combining an occurrence model and a quantitative model for the prediction of the sanitary felling of Norway spruce because of bark beetles
Maarten De Groot, Nikica Ogris, 2022, original scientific article

Abstract: The European spruce bark beetle (Ips typographus L.) is an eruptive forest pest that has caused a great deal of damage in the last decades because of increasing climatic extremes. In order to effectively manage outbreaks of this pest, it is important to predict where they will occur in the future. In this study we developed a predictive model of the sanitary felling of Norway spruce (Picea abies (L.) H. Karst.) because of bark beetles. We used a time series of sanitary felling because of bark beetles from 1996 to 2020 in Slovenia. For the explanatory variables, we used soil, site, climate, geographic, and tree damage data from the previous year. The model showed that sanitary felling is negatively correlated with slope, soil depth, soil cation exchange capacity, and Standard Precipitation Index (less sanitary felling in wet years). On the other hand, soil base saturation percentage, temperature, sanitary felling because of bark beetles from the previous year, sanitary felling because of other abiotic factors from the previous year, and the amount of spruce were positively correlated with the sanitary felling of Norway spruce due to bark beetles. The model had an R2 of 0.38. A prediction was performed for 2021 combining an occurrence model and a quantitative model. The model can be used to predict the amount of sanitary felling of Norway spruce due to bark beetles and to refine the risk map for the next year, which can be used for forest management planning and economic loss predictions.
Keywords: sanitary felling, prediction, Ips typographus, Picea abies, Slovenia, forecasting, insect outbreak forest pest
Published in DiRROS: 21.02.2022; Views: 642; Downloads: 526
.pdf Full text (1,24 MB)
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