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El. knyga: Pest Risk Modelling and Mapping for Invasive Alien Species [CABI E-books]

Contributions by (Bio-Protection Resea), Contributions by (CSIRO Ecosystem Sciences, Australia), Contributions by (US Geological Service, USA), Contributions by , Contributions by (CSIRO EcoSciences Precinct, Australia), Contributions by (Michigan State University, USA), Edited by (USDA Forest Service, USA), Contributions by , Contributions by , Contributions by (North Carolina State University, USA)
  • Formatas: 252 pages
  • Serija: CABI Invasives Series
  • Išleidimo metai: 27-Mar-2015
  • Leidėjas: CABI Publishing
  • ISBN-13: 9781780643946
Kitos knygos pagal šią temą:
  • CABI E-books
  • Kaina: 102,00 €*
  • * this price gives unlimited concurrent access for unlimited time
  • Formatas: 252 pages
  • Serija: CABI Invasives Series
  • Išleidimo metai: 27-Mar-2015
  • Leidėjas: CABI Publishing
  • ISBN-13: 9781780643946
Kitos knygos pagal šią temą:
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.
Preface x
Robert C. Venette
1 The Challenge of Modelling and Mapping the Future Distribution and Impact of Invasive Alien Species
1(17)
Robert C. Venette
2 Mapping Endangered Areas for Pest Risk Analysis
18(17)
Richard Baker
Dominic Eyre
Sarah Brunel
Maxime Dupin
Philippe Reynaud
Vojtech Jarosik
3 Following the Transportation Trail to Anticipate Human-mediated Invasions in Terrestrial Ecosystems
35(14)
Manuel Colunga-Garcia
Robert A. Haack
4 Simulation Modelling of Long-distance Windborne Dispersal for Invasion Ecology
49(16)
Hazel R. Parry
Debbie Eagles
Darren J. Kriticos
5 Using the MAXENT Program for Species Distribution Modelling to Assess Invasion Risk
65(17)
Catherine S. Jarnevich
Nicholas Young
6 The NCSU/APHIS Plant Pest Forecasting System (NAPPFAST)
82(15)
Roger D. Magarey
Daniel M. Borchert
Glenn A. Fowler
Steven C. Hong
7 Detecting and Interpreting Patterns within Regional Pest Species Assemblages using Self-organizing Maps and Other Clustering Methods
97(18)
Susan Worner
Rene Eschen
Marc Kenis
Dean Paini
Kari Saikkonen
Karl Suiter
Sunil Singh
Irene Vanninen
Mike Watts
8 Modelling the Spread of Invasive Species to Support Pest Risk Assessment: Principles and Application of a Suite of Generic Models
115(16)
Christelle Robinet
Hella Kehlenbeck
Wopke van der Werf
9 Estimating Spread Rates of Non-native Species: The Gypsy Moth as a Case Study
131(14)
Patrick C. Tobin
Andrew M. Liebhold
E. Anderson Roberts
Laura M. Blackburn
10 Predicting the Economic Impacts of Invasive Species: The Eradication of the Giant Sensitive Plant from Western Australia
145(17)
David C. Cook
Andy Sheppard
Shuang Liu
W. Mark Lonsdale
11 Spatial Modelling Approaches for Understanding and Predicting the Impacts of Invasive Alien Species on Native Species and Ecosystems
162(9)
Craig R. Allen
Daniel R. Uden
Alan R. Johnson
David G. Angeler
12 Process-based Pest Risk Mapping using Bayesian Networks and GIS
171(18)
Rieks D. van Klinken
Justine V. Murray
Carl Smith
13 Identifying and Assessing Critical Uncertainty Thresholds in a Forest Pest Risk Model
189(17)
Frank H. Koch
Denys Yemshanov
14 Making Invasion Models Useful for Decision Makers: Incorporating Uncertainty, Knowledge Gaps and Decision-making Preferences
206(17)
Denys Yemshanov
Frank H. Koch
Mark Ducey
15 Assessing the Quality of Pest Risk Models
223(12)
Steven J. Venette
Index 235
Robert C. Venette, USDA Forest Service, USA