Related references
Note: Only part of the references are listed.Developing a point process model for ecological risk assessment of pine wilt disease at multiple scales
Saeko Matsuhashi et al.
FOREST ECOLOGY AND MANAGEMENT (2020)
A Machine Learning Approach to Detecting Pine Wilt Disease Using Airborne Spectral Imagery
Marian-Daniel Iordache et al.
REMOTE SENSING (2020)
Spatial heterogeneities of human-mediated dispersal vectors accelerate the range expansion of invaders with source-destination-mediated dispersal
Daisuke Takahashi et al.
SCIENTIFIC REPORTS (2020)
The Effects of Climate Change on Pine Wilt Disease in South Korea: Challenges and Prospects
Hyunjin An et al.
FORESTS (2019)
Occurrence Prediction of the Citrus Flatid Planthopper (Metcalfa pruinosa (Say, 1830)) in South Korea Using a Random Forest Model
Dae-Seong Lee et al.
FORESTS (2019)
Changes in Major Insect Pests of Pine Forests in Korea Over the Last 50 Years
Won Il Choi et al.
FORESTS (2019)
Estimate global risks of a forest disease under current and future climates using species distribution model and simple thermal model Pine Wilt disease as a model case
Makihiko Ikegami et al.
FOREST ECOLOGY AND MANAGEMENT (2018)
Predicting the spread of an invasive tree pest: The pine wood nematode in Southern Europe
Begona de la Fuente et al.
JOURNAL OF APPLIED ECOLOGY (2018)
Potential distribution of pine wilt disease under future climate change scenarios
Akiko Hirata et al.
PLOS ONE (2017)
Dispersal Patterns of Pine Wilt Disease in the Early Stage of Its Invasion in South Korea
Won Il Choi et al.
FORESTS (2017)
Why choose Random Forest to predict rare species distribution with few samples in large undersampled areas? Three Asian crane species models provide supporting evidence
Chunrong Mi et al.
PEERJ (2017)
Basin-specific effect of global warming on endemic riverine fish in Korea
Namil Chung et al.
ANNALES DE LIMNOLOGIE-INTERNATIONAL JOURNAL OF LIMNOLOGY (2016)
Drivers of the tropospheric ozone budget throughout the 21st century under the medium-high climate scenario RCP 6.0
L. E. Revell et al.
ATMOSPHERIC CHEMISTRY AND PHYSICS (2015)
Possible altitude and temperature limits on pine wilt disease: the reproduction of vector sawyer beetles (Monochamus alternatus), survival of causal nematode (Bursaphelenchus xylophilus), and occurrence of damage caused by the disease
Masashi Ohsawa et al.
EUROPEAN JOURNAL OF FOREST RESEARCH (2014)
Hazard ratings of pine forests to a pine wilt disease at two spatial scales (individual trees and stands) using self-organizing map and random forest
Young-Seuk Park et al.
ECOLOGICAL INFORMATICS (2013)
Pine Wilt Disease: a threat to European forestry
Claudia Vicente et al.
EUROPEAN JOURNAL OF PLANT PATHOLOGY (2012)
Dispersal patterns of exotic forest pests in South Korea
Won Il Choi et al.
INSECT SCIENCE (2012)
Fast stable restricted maximum likelihood and marginal likelihood estimation of semiparametric generalized linear models
Simon N. Wood
JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES B-STATISTICAL METHODOLOGY (2011)
Pest Risk Maps for Invasive Alien Species: A Roadmap for Improvement
Robert C. Venette et al.
BIOSCIENCE (2010)
Role of Human-Mediated Dispersal in the Spread of the Pinewood Nematode in China
Christelle Robinet et al.
PLOS ONE (2009)
Hazard rating of pine trees from a forest insect pest using artificial neural networks
YS Park et al.
FOREST ECOLOGY AND MANAGEMENT (2006)
ROCR: visualizing classifier performance in R
T Sing et al.
BIOINFORMATICS (2005)
Share Paper
