Literature DB >> 7608931

Dynamic model comparing the bionomics of two isolated Culex tarsalis (Diptera: Culicidae) populations: model development.

J N Eisenberg1, W K Reisen, R C Spear.   

Abstract

The population dynamics of Culex tarsalis in the Coachella and southern San Joaquin valleys of California were studied using Monte Carlo simulations. Multiple years of abundance data were averaged to extract a generalized seasonal pattern for each site. These patterns were used to establish qualitative goodness-of-fit criteria to assess model output and to evaluate the importance of model parameters in simulating mosquito population trends. The parameters associated with the degree of temperature and density dependency on larval mortality were found to be important components in determining whether or not the output was classified as having passed or failed on the basis of our criteria, whereas autogeny and the heterogeneity of developmental time were found not to be important.

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Year:  1995        PMID: 7608931     DOI: 10.1093/jmedent/32.2.83

Source DB:  PubMed          Journal:  J Med Entomol        ISSN: 0022-2585            Impact factor:   2.278


  4 in total

1.  Climate-based models for West Nile Culex mosquito vectors in the Northeastern US.

Authors:  Hongfei Gong; Arthur T DeGaetano; Laura C Harrington
Journal:  Int J Biometeorol       Date:  2010-09-05       Impact factor: 3.787

Review 2.  Modeling and biological control of mosquitoes.

Authors:  Cynthia C Lord
Journal:  J Am Mosq Control Assoc       Date:  2007       Impact factor: 0.917

3.  Projection of Climate Change Influences on U.S. West Nile Virus Vectors.

Authors:  Heidi E Brown; Alex Young; Joceline Lega; Theodore G Andreadis; Jessica Schurich; Andrew Comrie
Journal:  Earth Interact       Date:  2015-12-10       Impact factor: 2.769

4.  Predicting outbreaks: a spatial risk assessment of West Nile virus in British Columbia.

Authors:  Kaoru Tachiiri; Brian Klinkenberg; Sunny Mak; Jamil Kazmi
Journal:  Int J Health Geogr       Date:  2006-05-16       Impact factor: 3.918

  4 in total

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