Description

Book Synopsis
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.

Table of Contents
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

Pest Risk Modelling and Mapping for Invasive

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    A Hardback by Manuel Manuel, Robert C Venette, Hazel Hazel

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      Publisher: CABI Publishing
      Publication Date: 26/03/2015
      ISBN13: 9781780643946, 978-1780643946
      ISBN10: 1780643942

      Description

      Book Synopsis
      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.

      Table of Contents
      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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