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ATroubleshooting Guide for Mechanistic Plant Pest Forecast Models.
- Source :
- Journal of Integrated Pest Management; 2017, Vol. 8 Issue 1, p1-7, 7p
- Publication Year :
- 2017
-
Abstract
- There is copious literature on development and validation of models to forecast risk to crops from arthropods and diseases; however, there is little published on causes of failure associated with these models. This manuscript provides mechanistic model builders and users with a list of likely problems, potential causes, possible solutions, and associated references. The problems are divided into four categories: environmental inputs, model construction and parameterization, validation, and implementation. The list is based on the authors' extensive experiences developing and running mechanistic modeling systems. A multidisciplinary approach involving researchers with expertise in pest biology, crop management, meteorology, and information technology is recommended for delivering the most effective pest forecast models. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 21557470
- Volume :
- 8
- Issue :
- 1
- Database :
- Complementary Index
- Journal :
- Journal of Integrated Pest Management
- Publication Type :
- Academic Journal
- Accession number :
- 134326587
- Full Text :
- https://doi.org/10.1093/jipm/pmw015