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CABI Book Chapter

Pest risk modelling and mapping for invasive alien species.

Book cover for Pest risk modelling and mapping for invasive alien species.

Description

The International Pest Risk Mapping Workgroup acknowledges that advanced training and a 'tool kit' of software packages are needed to produce pest risk maps that are fully fit for purpose. This book is an initial attempt to address those needs. Invited chapters emphasize specific steps and data requirements to guide users through the development of pest risk models and maps, or components thereof....

Metrics

Chapter 5 (Page no: 65)

Using the MAXENT program for species distribution modelling to assess invasion risk.

MAXENT is a software package used to relate known species occurrences to information describing the environment, such as climate, topography, anthropogenic features or soil data, and forecast the presence or absence of a species at unsampled locations. This particular method is one of the most popular species distribution modelling techniques because of its consistent strong predictive performance and its ease to implement. This chapter discusses the decisions and techniques needed to prepare a correlative climate matching model for the native range of an invasive alien species and use this model to predict the potential distribution of this species in a potentially invaded range (i.e. a novel environment) by using MAXENT for the Burmese python (Python molurus bivittatus) as a case study. The chapter discusses and demonstrates the challenges that are associated with this approach and examines the inherent limitations that come with using MAXENT to forecast distributions of invasive alien species.

Other chapters from this book

Chapter: 1 (Page no: 1) The challenge of modelling and mapping the future distribution and impact of invasive alien species. Author(s): Venette, R. C.
Chapter: 2 (Page no: 18) Mapping endangered areas for pest risk analysis. Author(s): Baker, R. Eyre, D. Brunel, S. Dupin, M. Reynaud, P. Jarošík, V.
Chapter: 3 (Page no: 35) Following the transportation trail to anticipate human-mediated invasions in terrestrial ecosystems. Author(s): Colunga-Garcia, M. Haack, R. A.
Chapter: 4 (Page no: 49) Simulation modelling of long-distance windborne dispersal for invasion ecology. Author(s): Parry, H. R. Eagles, D. Kriticos, D. J.
Chapter: 6 (Page no: 82) The NCSU/APHIS plant pest forecasting system (NAPPFAST). Author(s): Magarey, R. D. Borchert, D. M. Fowler, G. A. Hong, S. C.
Chapter: 7 (Page no: 97) Detecting and interpreting patterns within regional pest species assemblages using self-organizing maps and other clustering methods. Author(s): Worner, S. Eschen, R. Kenis, M. Paini, D. Saikkonen, K. Suiter, K. Sunil Singh Vänninen, I. Watts, M.
Chapter: 8 (Page no: 115) Modelling the spread of invasive species to support pest risk assessment: principles and application of a suite of generic models. Author(s): Robinet, C. Kehlenbeck, H. Werf, W. van der
Chapter: 9 (Page no: 131) Estimating spread rates of non-native species: the gypsy moth as a case study. Author(s): Tobin, P. C. Liebhold, A. M. Roberts, E. A. Blackburn, L. M.
Chapter: 10 (Page no: 145) Predicting the economic impacts of invasive species: the eradication of the giant sensitive plant from Western Australia. Author(s): Cook, D. C. Sheppard, A. Liu Shuang Lonsdale, W. M.
Chapter: 11 (Page no: 162) Spatial modelling approaches for understanding and predicting the impacts of invasive alien species on native species and ecosystems. Author(s): Allen, C. R. Uden, D. R. Johnson, A. R. Angeler, D. G.
Chapter: 12 (Page no: 171) Process-based pest risk mapping using Bayesian networks and GIS. Author(s): Klinken, R. D. van Murray, J. V. Smith, C.
Chapter: 13 (Page no: 189) Identifying and assessing critical uncertainty thresholds in a forest pest risk model. Author(s): Koch, F. H. Yemshanov, D.
Chapter: 14 (Page no: 206) Making invasion models useful for decision makers: incorporating uncertainty, knowledge gaps and decision-making preferences. Author(s): Yemshanov, D. Koch, F. H. Ducey, M.
Chapter: 15 (Page no: 223) Assessing the quality of pest risk models. Author(s): Venette, S. J.

Chapter details

  • Author Affiliation
  • US Geological Survey, Fort Collins Science Center, 2150 Centre Avenue, Building C, Fort Collins, CO 80526, USA.
  • Year of Publication
  • 2015
  • ISBN
  • 9781780643946
  • Record Number
  • 20153099613