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Improving lives by solving problems in agriculture and the environment

Pest Risk Modelling and Mapping for Invasive Alien Species

Pest Risk Modelling and Mapping for Invasive Alien Species

CABI Invasives Series

Edited by R C Venette, USDA Forest Service, USA

March 2015 / Hardback / 252 Pages / 9781780643946 £89.99 / €117.00 / $170.95
With 10% online discount: £80.99 / €105.30 / $153.86
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Main Description

Over the past century, the number of species that have been transported to areas outside their native range has increased steadily. New pests and pathogens place biological pressure on valuable resident species, but strict bans may conflict with trading and travel needs. An overview of how the conflict can be managed using pest risk mapping and modelling, this book uses worked examples to explain modelling and help development of tool kits for assessment.

  • 0: Preface
  • 1: The Challenge of Modelling and Mapping the Future Distribution and Impact of Invasive Alien Species
  • 2: Mapping Endangered Areas for Pest Risk Analysis
  • 3: Following the Transportation Trail to Anticipate Human-mediated Invasions in Terrestrial Ecosystems
  • 4: Simulation Modelling of Long-distance Windborne Dispersal for Invasion Ecology
  • 5: Using the MAXENT Program for Species Distribution Modelling to Assess Invasion Risk
  • 6: The NCSU/APHIS Plant Pest Forecasting System (nappfast)
  • 7: Detecting and Interpreting Patterns within Regional Pest Species Assemblages using Self-organizing Maps and Other Clustering Methods
  • 8: Modelling the Spread of Invasive Species to Support Pest Risk Assessment: Principles and Application of a Suite of Generic Models
  • 9: Estimating Spread Rates of Non-native Species: The Gypsy Moth as a Case Study
  • 10: Predicting the Economic Impacts of Invasive Species: The Eradication of the Giant Sensitive Plant from Western Australia
  • 11: Spatial Modelling Approaches for Understanding and Predicting the Impacts of Invasive Alien Species on Native Species and Ecosystems
  • 12: Process-based Pest Risk Mapping using Bayesian Networks and GIS
  • 13: Identifying and Assessing Critical Uncertainty Thresholds in a Forest Pest Risk Model
  • 14: Making Invasion Models Useful for Decision Makers: Incorporating Uncertainty, Knowledge Gaps and Decision-making Preferences
  • 15: Assessing the Quality of Pest Risk Models

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