Literature DB >> 21265459

Hitchhikers on trade routes: A phenology model estimates the probabilities of gypsy moth introduction and establishment.

David R Gray1.   

Abstract

As global trade increases so too does the probability of introduction of alien species to new locations. Estimating the probability of an alien species introduction and establishment following introduction is a necessary step in risk estimation (probability of an event times the consequences, in the currency of choice, of the event should it occur); risk estimation is a valuable tool for reducing the risk of biological invasion with limited resources. The Asian gypsy moth, Lymantria dispar (L.), is a pest species whose consequence of introduction and establishment in North America and New Zealand warrants over US$2 million per year in surveillance expenditure. This work describes the development of a two-dimensional phenology model (GLS-2d) that simulates insect development from source to destination and estimates: (1) the probability of introduction from the proportion of the source population that would achieve the next developmental stage at the destination and (2) the probability of establishment from the proportion of the introduced population that survives until a stable life cycle is reached at the destination. The effect of shipping schedule on the probabilities of introduction and establishment was examined by varying the departure date from 1 January to 25 December by weekly increments. The effect of port efficiency was examined by varying the length of time that invasion vectors (shipping containers and ship) were available for infection. The application of GLS-2d is demonstrated using three common marine trade routes (to Auckland, New Zealand, from Kobe, Japan, and to Vancouver, Canada, from Kobe and from Vladivostok, Russia).

Entities:  

Mesh:

Year:  2010        PMID: 21265459     DOI: 10.1890/09-1540.1

Source DB:  PubMed          Journal:  Ecol Appl        ISSN: 1051-0761            Impact factor:   4.657


  6 in total

1.  Unwanted spatial bias in predicting establishment of an invasive insect based on simulated demographics.

Authors:  David R Gray
Journal:  Int J Biometeorol       Date:  2013-06-09       Impact factor: 3.787

2.  A computer model of insect traps in a landscape.

Authors:  Nicholas C Manoukis; Brian Hall; Scott M Geib
Journal:  Sci Rep       Date:  2014-11-12       Impact factor: 4.379

3.  Prioritising surveillance for alien organisms transported as stowaways on ships travelling to South Africa.

Authors:  Katelyn T Faulkner; Mark P Robertson; Mathieu Rouget; John R U Wilson
Journal:  PLoS One       Date:  2017-04-05       Impact factor: 3.240

4.  Global establishment threat from a major forest pest via international shipping: Lymantria dispar.

Authors:  D R Paini; P Mwebaze; P M Kuhnert; D J Kriticos
Journal:  Sci Rep       Date:  2018-09-13       Impact factor: 4.379

5.  Global threats from invasive alien species in the twenty-first century and national response capacities.

Authors:  Regan Early; Bethany A Bradley; Jeffrey S Dukes; Joshua J Lawler; Julian D Olden; Dana M Blumenthal; Patrick Gonzalez; Edwin D Grosholz; Ines Ibañez; Luke P Miller; Cascade J B Sorte; Andrew J Tatem
Journal:  Nat Commun       Date:  2016-08-23       Impact factor: 14.919

6.  Evaluation of predicted Medfly ( Ceratitis capitata) quarantine length in the United States utilizing degree-day and agent-based models.

Authors:  Travis Collier; Nicholas Manoukis
Journal:  F1000Res       Date:  2017-10-20
  6 in total

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