Search results for "metsätuhot"

showing 3 items of 3 documents

Drivers of Spruce Bark Beetle (Ips typographus) Infestations on Downed Trees after Severe Windthrow

2020

Research Highlights: Bark beetles are important agents of disturbance regimes in temperate forests, and specifically in a connected wind-bark beetle disturbance system. Large-scale windthrows trigger population growth of the European spruce bark beetle (Ips typographus L.) from endemic to epidemic levels, thereby allowing the killing of Norway spruce trees over several consecutive years. Background and Objectives: There is a lack of evidence to differentiate how outbreaks are promoted by the effects of environmental variables versus beetle preferences of trees from endemic to outbreak. However, little is known about how individual downed-tree characteristics and local conditions such as tre…

0106 biological sciencesBark beetle010504 meteorology & atmospheric sciencesbark beetlePopulationkirjanpainaja (kaarnakuoriaiset)<i>Ips typographus</i>Windthrowmedicine.disease_cause010603 evolutionary biology01 natural sciencesepidemicsIps typographusBark (sound)Infestationmedicinewindeducationtuulituhot0105 earth and related environmental sciencesdisturbanceeducation.field_of_studybiologyintegumentary systemPicea abiesForestryForestryPicea abieslcsh:QK900-989biology.organism_classificationGAMMDisturbance (ecology)lcsh:Plant ecologymetsätuhot<i>Picea abies</i>metsäkuusiTemperate rainforesthyönteistuhot
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Metsien ennallistamisen vaikutus kaarnakuoriaisten populaatioihin ja metsätuhoriskiin

2008

Ips typographusmetsäpalotkaarnakuoriaisetmetsätuhotennallistaminenlahopuutmetsätScolytinae
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Estimating Tree Health Decline Caused by Ips typographus L. from UAS RGB Images Using a Deep One-Stage Object Detection Neural Network

2022

Various biotic and abiotic stresses are causing decline in forest health globally. Presently, one of the major biotic stress agents in Europe is the European spruce bark beetle (Ips typographus L.) which is increasingly causing widespread tree mortality in northern latitudes as a consequence of the warming climate. Remote sensing using unoccupied aerial systems (UAS) together with evolving machine learning techniques provide a powerful tool for fast-response monitoring of forest health. The aim of this study was to investigate the performance of a deep one-stage object detection neural network in the detection of damage by I. typographus in Norway spruce trees using UAS RGB images. A Scaled…

bark beetlekirjanpainaja (kaarnakuoriaiset)syväoppiminendeep learningmonitorointiobject detectionneuroverkotmiehittämättömät ilma-aluksetdronetree healthmetsätremote sensingkoneoppiminenbark beetle; deep learning; drone; object detection; remote sensing; tree healthmetsätuhotGeneral Earth and Planetary Scienceskaukokartoitusmetsäkuusihyönteistuhotestimointi
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