Use of advanced modelling methods to predict dothistroma needle blight on Pinus radiata at a fine resolution within New Zealand
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Use of advanced modelling methods to predict dothistroma needle blight on Pinus radiata at a fine resolution within New Zealand
Authors
Keywords
Biosecurity, Disease risk assessment, Disease severity, Radiata pine, Red band needle blight
Journal
FOREST ECOLOGY AND MANAGEMENT
Volume 492, Issue -, Pages 119226
Publisher
Elsevier BV
Online
2021-04-29
DOI
10.1016/j.foreco.2021.119226
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Use of advanced modelling methods to estimate radiata pine productivity indices
- (2020) Michael S. Watt et al. FOREST ECOLOGY AND MANAGEMENT
- Hyperparameter tuning and performance assessment of statistical and machine-learning algorithms using spatial data
- (2019) Patrick Schratz et al. ECOLOGICAL MODELLING
- Reduced Virulence of an Introduced Forest Pathogen over 50 Years
- (2019) Bradshaw et al. Microorganisms
- Exploring the use of learning techniques for relating the site index of radiata pine stands with climate, soil and physiography
- (2019) M.A. González-Rodríguez et al. FOREST ECOLOGY AND MANAGEMENT
- Comment on “A Reanalysis of Long-Term Surface Air Temperature Trends in New Zealand”
- (2018) Brett Mullan et al. ENVIRONMENTAL MODELING & ASSESSMENT
- Improve ground-level PM 2.5 concentration mapping using a random forests-based geostatistical approach
- (2018) Ying Liu et al. ENVIRONMENTAL POLLUTION
- UAV Multispectral Imagery Can Complement Satellite Data for Monitoring Forest Health
- (2018) Jonathan Dash et al. Remote Sensing
- Assessing very high resolution UAV imagery for monitoring forest health during a simulated disease outbreak
- (2017) Jonathan P. Dash et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- Dothistroma needle blight, weather and possible climatic triggers for the disease's recent emergence
- (2016) A. J. Woods et al. FOREST PATHOLOGY
- A worldwide perspective on the management and control of Dothistroma needle blight
- (2016) L. S. Bulman et al. FOREST PATHOLOGY
- Neotypification of Dothistroma septosporum and epitypification of D. pini, causal agents of Dothistroma needle blight of pine
- (2016) I. Barnes et al. FOREST PATHOLOGY
- Global geographic distribution and host range of Dothistroma species: a comprehensive review
- (2016) R. Drenkhan et al. FOREST PATHOLOGY
- The Forest Sector in Chile: An Overview and Current Challenges
- (2016) Christian Salas et al. JOURNAL OF FORESTRY
- A review of Pinaceae resistance mechanisms against needle and shoot pathogens with a focus on the Dothistroma -Pinus interaction
- (2015) S. Fraser et al. FOREST PATHOLOGY
- Peeking Inside the Black Box: Visualizing Statistical Learning With Plots of Individual Conditional Expectation
- (2015) Alex Goldstein et al. JOURNAL OF COMPUTATIONAL AND GRAPHICAL STATISTICS
- Between-site and -year variation in the relative susceptibility of native ScottishPinus sylvestrispopulations to dothistroma needle blight
- (2015) S. Fraser et al. PLANT PATHOLOGY
- Dothistroma needle blight: an emerging epidemic caused byDothistroma septosporumin Colombia
- (2015) C. A. Rodas et al. PLANT PATHOLOGY
- Building Predictive Models inRUsing thecaretPackage
- (2015) Max Kuhn Journal of Statistical Software
- Mapping Soil Properties of Africa at 250 m Resolution: Random Forests Significantly Improve Current Predictions
- (2015) Tomislav Hengl et al. PLoS One
- Regional outbreak dynamics of Dothistroma needle blight linked to weather patterns in British Columbia, Canada
- (2014) Cedar Welsh et al. CANADIAN JOURNAL OF FOREST RESEARCH
- Predicting site index of plantation loblolly pine from biophysical variables
- (2014) Charles O. Sabatia et al. FOREST ECOLOGY AND MANAGEMENT
- The hemibiotrophic lifestyle of the fungal pine pathogenDothistroma septosporum
- (2014) M. S. Kabir et al. FOREST PATHOLOGY
- A Review of Methods for Mapping and Prediction of Inventory Attributes for Operational Forest Management
- (2014) Kimberley D. Brosofske et al. FOREST SCIENCE
- Spatial analysis of the risk of major forest diseases in Monterey pine plantations
- (2014) E. Iturritxa et al. PLANT PATHOLOGY
- Discriminating the occurrence of pitch canker fungus inPinus radiatatrees using QuickBird imagery and artificial neural networks
- (2013) Nitesh K Poona et al. Southern Forests
- Evaluation of modelling techniques for forest site productivity prediction in contrasting ecoregions using stochastic multicriteria acceptability analysis (SMAA)
- (2011) Wim Aertsen et al. ENVIRONMENTAL MODELLING & SOFTWARE
- Predicting the severity of Dothistroma on Pinus radiata under current climate in New Zealand
- (2011) Michael S. Watt et al. FOREST ECOLOGY AND MANAGEMENT
- Is the Emergence of Dothistroma Needle Blight of Pine in France Caused by the Cryptic Species Dothistroma pini?
- (2011) B. Fabre et al. PHYTOPATHOLOGY
- First Report of Mycosphaerella pini Causing Red Band Needle Blight on Scots Pine in Norway
- (2011) H. Solheim et al. PLANT DISEASE
- Estimating soil moisture using remote sensing data: A machine learning approach
- (2009) Sajjad Ahmad et al. ADVANCES IN WATER RESOURCES
- Comparison of spatial prediction techniques for developing Pinus radiata productivity surfaces across New Zealand
- (2009) D.J. Palmer et al. FOREST ECOLOGY AND MANAGEMENT
- The hosts and potential geographic range of Dothistroma needle blight
- (2009) Michael S. Watt et al. FOREST ECOLOGY AND MANAGEMENT
- First observations ofMycosphaerella piniin Estonia
- (2008) M. Hanso et al. PLANT PATHOLOGY
- Modelling the influence of environment and stand characteristics on basic density and modulus of elasticity for young Pinus radiata and Cupressus lusitanica
- (2007) Michael S. Watt et al. FOREST ECOLOGY AND MANAGEMENT
Create your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started