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210512 ||| eng |
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|a 9783039281664
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|a 9783039281671
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|a books978-3-03928-167-1
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1 |
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|a Park, Young-Seuk
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| 245 |
0 |
0 |
|a Impacts, Monitoring and Management of Forest Pests and Diseases
|h Elektronische Ressource
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| 260 |
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|b MDPI - Multidisciplinary Digital Publishing Institute
|c 2020
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| 300 |
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|a 1 electronic resource (198 p.)
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| 653 |
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|a prediction model
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| 653 |
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|a attack pattern
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| 653 |
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|a SNPs
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| 653 |
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|a hazard rating
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| 653 |
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|a litter decay
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| 653 |
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|a Quercus ilex L.
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| 653 |
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|a random forest
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| 653 |
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|a forest ecosystem management
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| 653 |
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|a antennal transcriptome
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| 653 |
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|a Hylodor
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| 653 |
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|a forestry
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| 653 |
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|a pine caterpillar
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| 653 |
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|a Ricania shantungensis
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| 653 |
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|a Cockchafer larvae
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| 653 |
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|a black pine bast scale
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| 653 |
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|a location preference
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| 653 |
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|a litterbags
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| 653 |
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|a disease resistance
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| 653 |
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|a Phytophthora quercina
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| 653 |
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|a monitoring
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| 653 |
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|a Tomicus brevipilosus
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| 653 |
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|a Norway spruce
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| 653 |
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|a aggregation pheromones
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| 653 |
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|a synonym
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| 653 |
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|a abiotic and biotic disturbances
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| 653 |
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|a aggressiveness
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| 653 |
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|a Phytophthora cinnamomi
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| 653 |
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|a Phytophthora pseudocryptogea
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| 653 |
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|a surveillance
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| 653 |
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|a forestry models
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| 653 |
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|a pine wilt disease
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| 653 |
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|a forest pests
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| 653 |
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|a MaxEnt
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| 653 |
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|a forest ecosystem
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| 653 |
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|a forest management
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| 653 |
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|a biological control
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| 653 |
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|a forest health
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| 653 |
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|a Encyrtidae
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| 653 |
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|a invasive species
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| 653 |
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|a Buprestidae
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| 653 |
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|a CLIMAX
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| 653 |
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|a turpentine oil
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| 653 |
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|a mite assemblages
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| 653 |
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|a propylene-glycol
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| 653 |
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|a control
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| 653 |
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|a taxonomy
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| 653 |
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|a Biology, life sciences / bicssc
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| 653 |
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|a Matsucoccus thunbergianae
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| 653 |
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|a expression level
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| 653 |
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|a Acari
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| 653 |
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|a leaf spot
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| 653 |
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|a natural enemies
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| 653 |
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|a Scots pine damages
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| 653 |
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|a climate change
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| 653 |
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|a chemosensory genes
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| 653 |
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|a pine needle gall midge
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| 653 |
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|a eucalyptus disease
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| 653 |
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|a admixture species
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| 653 |
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|a SADIE
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| 653 |
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|a ash trees
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| 653 |
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|a plant nutrition-disease relationship
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| 653 |
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|a alpha-pinene
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| 653 |
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|a coniferous forests
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| 653 |
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|a qPCR
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| 653 |
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|a ethanol
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| 653 |
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|a species distribution model
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| 653 |
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|a small soil pits
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| 700 |
1 |
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|a Choi, Won Il
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b DOAB
|a Directory of Open Access Books
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| 500 |
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|a Creative Commons (cc), https://creativecommons.org/licenses/by-nc-nd/4.0/
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| 028 |
5 |
0 |
|a 10.3390/books978-3-03928-167-1
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| 856 |
4 |
0 |
|u https://www.mdpi.com/books/pdfview/book/2092
|7 0
|x Verlag
|3 Volltext
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| 856 |
4 |
2 |
|u https://directory.doabooks.org/handle/20.500.12854/50022
|z DOAB: description of the publication
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| 082 |
0 |
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|a 800
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0 |
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|a 551.6
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0 |
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|a 610
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|a 580
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| 520 |
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|a Forest pests have diverse negative impacts on forestry economy, ecosystem services, biodiversity, and sustainable ecosystem management. The first step towards effectively managing forest pests would be to monitor their occurrence and assess their impact on forest ecosystems. The monitoring results can provide basic information for effective management strategies. The data from monitoring programs can result in the development of new methods for monitoring, assessing impact, and developing management techniques. This special issue aims to share information to assist in the effective management of forest pests, by understanding the responses of forest pests to natural and anthropogenic changes, and discussing new studies on the monitoring, assessment, and management of forest pests. The fourteen papers included in this issue focus on monitoring, assessing, and managing forest pests, including one editorial providing an overall idea of the monitoring, assessment and management of forest pests, two articles reviewing long-term changes in forest pests and forests, four papers focusing on the monitoring of forest pests, three papers on the assessment of forest pests, and four papers on the management of forest pests. These papers provide a better understanding of the structures and processes in forest ecosystems and fundamental information for the effective management of forest pests.
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