Literature DB >> 17120064

Risk assessment of the gypsy moth, Lymantria dispar (L), in New Zealand based on phenology modelling.

Joel Peter William Pitt1, Jacques Régnière, Sue Worner.   

Abstract

The gypsy moth is a global pest that has not yet established in New Zealand despite individual moths having been discovered near ports. A climate-driven phenology model previously used in North America was applied to New Zealand. Weather and elevation data were used as inputs to predict where sustainable populations could potentially exist and predict the timing of hatch and oviposition in different regions. Results for New Zealand were compared with those in the Canadian Maritimes (New Brunswick, Nova Scotia, and Prince Edward Island) where the gypsy moth has long been established. Model results agree with the current distribution of the gypsy moth in the Canadian Maritimes and predict that the majority of New Zealand's North Island and the northern coastal regions of the South Island have a suitable climate to allow stable seasonality of the gypsy moth. New Zealand's climate appears more forgiving than that of the Canadian Maritimes, as the model predicts a wider range of oviposition dates leading to stable seasonality. Furthermore, we investigated the effect of climate change on the predicted potential distribution for New Zealand. Climate change scenarios show an increase in probability of establishment throughout New Zealand, most noticeably in the South Island.

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Year:  2006        PMID: 17120064     DOI: 10.1007/s00484-006-0066-3

Source DB:  PubMed          Journal:  Int J Biometeorol        ISSN: 0020-7128            Impact factor:   3.787


  6 in total

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Authors:  K J Garner; J M Slavicek
Journal:  Insect Mol Biol       Date:  1996-05       Impact factor: 3.585

3.  Diapause in the gypsy moth: a model of inhibition and development.

Authors: 
Journal:  J Insect Physiol       Date:  2001-02-01       Impact factor: 2.354

4.  Risk assessment in the face of a changing environment: gypsy moth and climate change in Utah.

Authors:  J A Logan; J Régnière; D R Gray; A S Munson
Journal:  Ecol Appl       Date:  2007-01       Impact factor: 4.657

5.  Rapid response to selection for a nondiapausing gypsy moth.

Authors:  M A Hoy
Journal:  Science       Date:  1977-06-24       Impact factor: 47.728

6.  Stochastic simulation of daily air temperature and precipitation from monthly normals in North America north of Mexico.

Authors:  Jacques Régnière; Rémi St-Amant
Journal:  Int J Biometeorol       Date:  2007-01-16       Impact factor: 3.738

  6 in total
  7 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.  The rise of phenology with climate change: an evaluation of IJB publications.

Authors:  Alison Donnelly; Rong Yu
Journal:  Int J Biometeorol       Date:  2017-05-19       Impact factor: 3.787

3.  Impact of temperature on postdiapause and diapause of the Asian gypsy moth, Lymantria dispar asiatica.

Authors:  Jing Wei; You-Qing Luo; Juan Shi; Dei-Peng Wang; Shao-Wei Shen
Journal:  J Insect Sci       Date:  2014-01-14       Impact factor: 1.857

Review 4.  A Half-Century History of Applications of Antisense Oligonucleotides in Medicine, Agriculture and Forestry: We Should Continue the Journey.

Authors:  Volodymyr V Oberemok; Kateryna V Laikova; Anna I Repetskaya; Igor M Kenyo; Mikhail V Gorlov; Igor N Kasich; Alisa M Krasnodubets; Nikita V Gal'chinsky; Iryna I Fomochkina; Aleksei S Zaitsev; Viktoriya V Bekirova; Eleonora E Seidosmanova; Ksenia I Dydik; Anna O Meshcheryakova; Sergey A Nazarov; Natalya N Smagliy; Edie L Chelengerova; Alina A Kulanova; Karim Deri; Mikhail V Subbotkin; Refat Z Useinov; Maksym N Shumskykh; Anatoly V Kubyshkin
Journal:  Molecules       Date:  2018-05-29       Impact factor: 4.411

5.  DNA insecticide developed from the Lymantria dispar 5.8S ribosomal RNA gene provides a novel biotechnology for plant protection.

Authors:  Volodymyr V Oberemok; Kateryna V Laikova; Nikita V Gal'chinsky; Refat Z Useinov; Ilya A Novikov; Zenure Z Temirova; Maksym N Shumskykh; Alisa M Krasnodubets; Anna I Repetskaya; Valeriy V Dyadichev; Iryna I Fomochkina; Evgenia Y Bessalova; Tatiana P Makalish; Yuri I Gninenko; Anatoly V Kubyshkin
Journal:  Sci Rep       Date:  2019-04-17       Impact factor: 4.379

6.  Spatially-Explicit Simulation Modeling of Ecological Response to Climate Change: Methodological Considerations in Predicting Shifting Population Dynamics of Infectious Disease Vectors.

Authors:  Radhika Dhingra; Violeta Jimenez; Howard H Chang; Manoj Gambhir; Joshua S Fu; Yang Liu; Justin V Remais
Journal:  ISPRS Int J Geoinf       Date:  2013-09-01       Impact factor: 2.899

7.  A modeling framework for the establishment and spread of invasive species in heterogeneous environments.

Authors:  Audrey Lustig; Susan P Worner; Joel P W Pitt; Crile Doscher; Daniel B Stouffer; Senait D Senay
Journal:  Ecol Evol       Date:  2017-09-08       Impact factor: 3.167

  7 in total

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