Use of advanced modelling methods to predict dothistroma needle blight on Pinus radiata at a fine resolution within New Zealand
Authors:
- Michael S. WattMWMichael S. Watt
- Alan Y.S. TanATAlan Y.S. Tan
- Stuart FraserSFStuart Fraser
- Lindsay S. BulmanLBLindsay S. Bulman
- 1 July 2021
- journal article
- research article
- Published by Elsevier in Forest Ecology and Management
- Vol. 492
Abstract
No abstract availableKeywords
Funding Information
- Scion
This publication has 71 references indexed in Scilit:
- Predicting the severity of Dothistroma on Pinus radiata under current climate in New ZealandForest Ecology and Management, 2011
- An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.Psychological Methods, 2009
- Comparison of spatial prediction techniques for developing Pinus radiata productivity surfaces across New ZealandForest Ecology and Management, 2009
- The hosts and potential geographic range of Dothistroma needle blightForest Ecology and Management, 2009
- Modelling the influence of environment and stand characteristics on basic density and modulus of elasticity for young Pinus radiata and Cupressus lusitanicaForest Ecology and Management, 2008
- A generic framework for spatial prediction of soil variables based on regression-krigingGeoderma, 2004
- Mineralization and nitrification patterns at eight northeastern USA forested research sitesForest Ecology and Management, 2004
- Indices for nitrogen status and nitrate leaching from Norway spruce (Picea abies (L.) Karst.) stands in SwedenForest Ecology and Management, 2002
- Further results on prediction of soil properties from terrain attributes: heterotopic cokriging and regression-krigingGeoderma, 1995
- SCIRRHIA PINI N. SP., THE PERFECT STATE OF DOTHISTROMA PINI HULBARYCanadian Journal of Botany, 1966