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  • 1
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    American Association for the Advancement of Science (AAAS)
    Publication Date: 1979-12-21
    Description: We describe some flatworms (some in the genus Mesostoma) that kill mosquito larvae and may account for the variability in the population densities of Culex tarsalis and Anopheles freeborni in rice fields. When mosquito larvae brush against these worms, the larvae immediately become paralyzed and die. When C. tarsalis larvae are placed inside floating cages that exclude flatworms (50-micromter mesh), there is a fourfold increase in the their survival. Rice fields that have abundant mosquito populations lack flatworms. Most such fields have only recently been turned over to rice production, suggesting that the flatworms have difficulty dispersing to new fields but, once established, are able to overwinter and control mosquitoes for the subsequent years of rice production.〈br /〉〈span class="detail_caption"〉Notes: 〈/span〉Case, T J -- Washino, R K -- New York, N.Y. -- Science. 1979 Dec 21;206(4425):1412-4.〈br /〉〈span class="detail_caption"〉Record origin:〈/span〉 〈a href="http://www.ncbi.nlm.nih.gov/pubmed/41321" target="_blank"〉PubMed〈/a〉
    Keywords: Agriculture/*methods ; Animals ; Anopheles/physiology ; California ; Culex/physiology ; Culicidae/*physiology ; Insect Control/*methods ; Larva ; *Oryza ; Platyhelminths/*physiology
    Print ISSN: 0036-8075
    Electronic ISSN: 1095-9203
    Topics: Biology , Chemistry and Pharmacology , Computer Science , Medicine , Natural Sciences in General , Physics
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  • 2
    Publication Date: 1992-10-01
    Print ISSN: 0143-1161
    Electronic ISSN: 1366-5901
    Topics: Architecture, Civil Engineering, Surveying , Geography
    Published by Taylor & Francis
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  • 3
    Publication Date: 2011-08-24
    Description: A blind test of two remote sensing-based models for predicting adult populations of Anopheles albimanus in villages, an indicator of malaria transmission risk, was conducted in southern Chiapas, Mexico. One model was developed using a discriminant analysis approach, while the other was based on regression analysis. The models were developed in 1992 for an area around Tapachula, Chiapas, using Landsat Thematic Mapper (TM) satellite data and geographic information system functions. Using two remotely sensed landscape elements, the discriminant model was able to successfully distinguish between villages with high and low An. albimanus abundance with an overall accuracy of 90%. To test the predictive capability of the models, multitemporal TM data were used to generate a landscape map of the Huixtla area, northwest of Tapachula, where the models were used to predict risk for 40 villages. The resulting predictions were not disclosed until the end of the test. Independently, An. albimanus abundance data were collected in the 40 randomly selected villages for which the predictions had been made. These data were subsequently used to assess the models' accuracies. The discriminant model accurately predicted 79% of the high-abundance villages and 50% of the low-abundance villages, for an overall accuracy of 70%. The regression model correctly identified seven of the 10 villages with the highest mosquito abundance. This test demonstrated that remote sensing-based models generated for one area can be used successfully in another, comparable area.
    Keywords: Life Sciences (General)
    Type: The American journal of tropical medicine and hygiene (ISSN 0002-9637); Volume 56; 1; 99-106
    Format: text
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  • 4
    Publication Date: 2011-08-24
    Description: The cultivation of irrigated rice provides ideal larval habitat for a number of anopheline vectors of malaria throughout the world. Anopheles freeborni, a potential vector of human malaria, is associated with the nearly 240,000 hectares of irrigated rice grown annually in Northern and Central California; therefore, this species can serve as a model for the study of rice field anopheline population dynamics. Analysis of field data revealed that rice fields with early season canopy development, that are located near bloodmeal sources (i.e., pastures with livestock) were more likely to produce anopheline larvae than fields with less developed canopies located further from pastures. Remote sensing reflectance measurements of early-season canopy development and geographic information system (GIS) measurements of distanes between rice fields and pastures with livestock were combined to distinguish between high and low mosquito-producing rice fields. Using spectral and distance measures in either a discriminant or Bayesian analysis, the identification of high mosquito-producing fields was made with 85 percent accuracy nearly two months before anopheline larval populations peaked. Since omission errors were also minimized by these approaches, they could provide a new basis for directing abatement techniques for the control of malaria vectors.
    Keywords: EARTH RESOURCES AND REMOTE SENSING
    Type: International Journal of Remote Sensing (ISSN 0143-1161); 13; 15; p. 2813-2826.
    Format: text
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  • 5
    Publication Date: 1983-01-01
    Print ISSN: 0066-4170
    Electronic ISSN: 1545-4487
    Topics: Biology
    Published by Annual Reviews
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  • 6
    Electronic Resource
    Electronic Resource
    Palo Alto, Calif. : Annual Reviews
    Annual Review of Entomology 28 (1983), S. 179-201 
    ISSN: 0066-4170
    Source: Annual Reviews Electronic Back Volume Collection 1932-2001ff
    Topics: Biology
    Type of Medium: Electronic Resource
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  • 7
    Electronic Resource
    Electronic Resource
    Springer
    Journal of insect behavior 6 (1993), S. 333-342 
    ISSN: 1572-8889
    Keywords: Anopheles ; Culicidae ; sexual behavior ; mating system
    Source: Springer Online Journal Archives 1860-2000
    Topics: Biology
    Notes: Abstract We examined whether body size affects the swarming behavior and mating success of male Anopheles freeborninear California rice fields. Swarms formed after dusk and persisted for approximately 30 min. The proportion of males in 33 swarms sampled n=6028 ranged from 100 to 92% but decreased over time (r=0.73, t=6.03, P〈0.001).On average, swarming males (n=1058) were larger than males sampled from the resting population (n=735, H=35.6, P〈0.0001),indicating that some males never swarm at all. Males swarming early were significantly smaller than those swarming during the peak (H=6.71, P=0.009)or final minutes of the swarm (H=4.86, P=0.002). Mated males returned to the swarm after mating, and larger males enjoyed greater mating success than did smaller ones (n=398, H=16.1, P=0.0005).
    Type of Medium: Electronic Resource
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