Bioclimatic approach to assessing factors influencing shifts in geographic distribution and relative abundance of two flea beetle species (Coleoptera: Chrysomelidae) in North America

2017 ◽  
Vol 150 (1) ◽  
pp. 66-79 ◽  
Author(s):  
O. Olfert ◽  
R.M. Weiss ◽  
J.J. Soroka ◽  
R.H. Elliott
Keyword(s):  
Geographic Distribution ◽  
Climatic Factors ◽  
Flea Beetle ◽  
Simulation Models ◽  
Effective Control ◽  
Beetle Species ◽  
Fundamental Factor ◽  
Growing Seasons ◽  
Phyllotreta Striolata ◽  
Factors Influencing

AbstractCrucifer flea beetle, Phyllotreta cruciferae (Goeze) and striped flea beetle, Phyllotreta striolata (Fabricius) (Coleoptera: Chrysomelidae) are the most chronic and economically important flea beetle pests of cruciferous (Brassicaceae) crops in western Canada. There have been reports that populations of P. striolata are increasing in numbers and expanding their geographic range. Climate is the fundamental factor regulating the distribution and abundance of most insect species. Bioclimate simulation models of the two flea beetle species were developed to assess climatic factors influencing shifts in their geographic distribution and density. The results fostered a better understanding of how the two species responded to selected climate variables. Growing seasons with above average precipitation were predicted to favour the geographic distribution of P. striolata more than P. cruciferae. Both P. cruciferae and P. striolata were sensitive to temperature changes in the range of −2 °C to +2 °C. The ecoclimatic index (suitability index) for P. cruciferae increased with increasing temperatures, whereas the index for P. striolata declined with increasing temperatures. This study highlights the regions of the Prairies and Boreal Plains Ecozones that are most sensitive to shifts of the two populations and which may require changes in insecticidal seed treatments for effective control.

scholarly journals Flea Beetle (Coleoptera: Chrysomelidae) Populations, Effects of Feeding Injury, and Efficacy of Insecticide Treatments on Eggplant and Cabbage in Southwest Virginia

2019 ◽  
Vol 113 (2) ◽  
pp. 887-895 ◽  
Author(s):  
James Mason ◽  
Adam Michael Alford ◽  
Thomas Patrick Kuhar
Keyword(s):  
Flea Beetle ◽  
Solanum Melongena ◽  
Effective Control ◽  
Individual Plant ◽  
Control Methods ◽  
Phyllotreta Cruciferae ◽  
Phyllotreta Striolata ◽  
Crucifer Flea Beetle ◽  
Significant Yield ◽  
The Impact

Abstract Flea beetles, are common pests of cabbage Brassica oleracea L. (Brassicales: Brassicaceae) and eggplant Solanum melongena L. (Solanales: Solanaceae), but little is known about the flea beetle populations in Virginia, their impact on yield, or the most effective control methods. This research investigates flea beetle populations and the impact of their feeding injury on cabbage and eggplant in Southwest Virginia and determines the most efficacious control methods. In Whitethorne, VA, cabbage and eggplant crops were vacuum sampled weekly throughout two summers (2015, 2016). Crucifer flea beetle, Phyllotreta cruciferae (Goeze) (Coleoptera: Chrysomelidae), and striped flea beetle, Phyllotreta striolata Fabr. (Coleoptera: Chrysomelidae) were found on cabbage; whereas, eggplant flea beetle, Epitrix fucula (Crotch) (Coleoptera: Chrysomelidae), and the tobacco flea beetle, Epitrix hirtipennis (Melsheimer) (Coleoptera: Chrysomelidae) were found on eggplant. To evaluate the impact of flea beetle feeding on these plants flea beetle densities and defoliation were assessed weekly and individual plant, as well as whole plot yields, assessed at harvest. For cabbage, significant yield reductions were observed between 1 and 20% and >60% defoliation. Similarly, significant yield reductions were observed between 41 and 60% and >60% defoliation for eggplant. The efficacy of various insecticides was also evaluated. Soil application of the systemic neonicotinoid dinotefuran, imidacloprid, and the foliar-applied bifenthrin resulted in the fewest beetles, the least amount of leaf defoliation, and the highest yield in cabbage and eggplant. This research helps vegetable growers to better understand the severity of these pests and how to effectively combat them.

AN EFFECT OF PARASITISM BY MICROCTONUS VITTATAE (HYMENOPTERA: BRACONIDAE) ON EMERGENCE OF PHYLLOTRETA CRUCIFERAE AND PHYLLOTRETA STRIOLATA (COLEOPTERA: CHRYSOMELIDAE) FROM OVERWINTERING SITES

1982 ◽  
Vol 114 (8) ◽  
pp. 727-732 ◽  
Author(s):  
H. G. Wylie
Keyword(s):  
Flea Beetle ◽  
Beetle Species ◽  
Phyllotreta Cruciferae ◽  
Phyllotreta Striolata ◽  
Early Emergence ◽  
The Impact

AbstractAdults of the two main rape-infesting flea beetle species in Manitoba, Phyllotreta cruciferae (Goeze) and Phyllotreta striolata (F.), that were parasitized by Microctonus vittatae Mues., emerged earlier from overwintering sites than unparasitized adults of the same species. Early emergence of parasitized beetles ensures early emergence of parasite adults and thereby probably increases the impact of the parasite on the host's population.

scholarly journals Potential Distribution of Chagas Disease Vectors (Hemiptera, Reduviidae, Triatominae) in Colombia, Based on Ecological Niche Modeling

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Gabriel Parra-Henao ◽  
Laura C. Suárez-Escudero ◽  
Sebastián González-Caro
Keyword(s):  
Chagas Disease ◽  
Sierra Nevada ◽  
Geographic Distribution ◽  
Ecological Niche ◽  
Ecological Niche Modeling ◽  
Climatic Factors ◽  
Niche Modeling ◽  
Triatomine Species ◽  
Local Risk ◽  
And Control

Ecological niche modeling of Triatominae bugs allow us to establish the local risk of transmission of the parasiteTrypanosoma cruzi,which causes Chagas disease.This information could help to guide health authority recommendations on infection monitoring, prevention, and control. In this study, we estimated the geographic distribution of triatomine species in Colombia and identified the relationship between landscape structure and climatic factors influencing their occurrence. A total of 2451 records of 4 triatomine species (Panstrongylus geniculatus,Rhodnius pallescens,R. prolixus, andTriatoma maculata) were analyzed.The variables that provided more information to explain the ecologic niche of these vectors were related to precipitation, altitude, and temperature. We found that the species with the broadest potential geographic distribution wereP. geniculatus,R. pallescens, andR. prolixus. In general, the models predicted the highest occurrence probability of these vectors in the eastern slope of the Eastern Cordillera, the southern region of the Magdalena valley, and the Sierra Nevada of Santa Marta.

Phyllotreta striolata. [Distribution map].

1994 ◽  
Author(s):  
Keyword(s):  
New York ◽  
North Carolina ◽  
West Bengal ◽  
Flea Beetle ◽  
Peninsular Malaysia ◽  
Distribution Map ◽  
Phyllotreta Striolata ◽  
Kurile Islands ◽  
New Distribution ◽  
Distribution In Europe

Abstract A new distribution map is provided for Phyllotreta striolata (Fabricius) Coleoptera: Chrysomelidae, Alticinae Striped flea beetle, turnip flea beetle. Attacks turnip, cabbage, rape and other Cruciferae. = Phyllotreta vittata(Fabricius) Information is given on the geographical distribution in EUROPE, Albania, Austria, Belgium, Bulgaria, Crete, Czech, Republic Denmark, Estonia, Finland, France, Germany, Greece, Hungary, Irish, Republic Italy, Luxembourg, Netherlands, Norway, Poland, Slovakia, Spain, Sweden, Switzerland, United Kingdom, Yugoslavia, RUSSIA, Amur, Irkutsk, Kamchatka, Karelia, Khabarovsk, Kiev, Leningrad, Magadan, Primorye, Ryazan, Sakhalin, Smolensk, ASIA, Andaman Islands, Bhutan, Burma, China, Anhui, Fujian, Gansu, Guangdong, Guangxi, Hainan, Heilongjiang, Hubei, Hunan, Jiangsu, Xizhang, Hong Kong, India, Assam, Tripura, West Bengal, Indonesia, Java, Sumatra, Japan, Korea, Kurile Islands, Malaysia, Sarawak, Peninsular Malaysia, Mongolia, Myanmar, Nepal, Okinawa, Sikkim, Singapore, Taiwan, Thailand, Tibet, Vietnam, NORTH AMERICA, Canada, Alberta, British Columbia, Manitoba, Ontario, Quebec, Saskatchewan, USA, California, Connecticut, Florida, Illinois, Kansas, Louisiana, Maryland, Mississippi, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Tennessee, Texas, Virginia, Wisconsin.

Assessing the impact of seasonal precipitation and temperature on vegetation in a grass-dominated rangeland

2014 ◽  
Vol 36 (2) ◽  
pp. 185 ◽  
Author(s):  
Fang Chen ◽  
Keith T. Weber
Keyword(s):  
Vegetation Index ◽  
Climatic Factors ◽  
Growing Season ◽  
Vegetation Growth ◽  
Factors Affecting ◽  
Growing Seasons ◽  
Normalised Difference Vegetation Index ◽  
Moderate Resolution Imaging Spectroradiometer ◽  
The Impact ◽  
Precipitation And Temperature

Changes in vegetation are affected by many climatic factors and have been successfully monitored through satellite remote sensing over the past 20 years. In this study, the Normalised Difference Vegetation Index (NDVI), derived from the Moderate Resolution Imaging Spectroradiometer (MODIS) onboard the Terra satellite, was selected as an indicator of change in vegetation. Monthly MODIS composite NDVI at a 1-km resolution was acquired throughout the 2004–09 growing seasons (i.e. April–September). Data describing daily precipitation and temperature, primary factors affecting vegetation growth in the semiarid rangelands of Idaho, were derived from the Surface Observation Gridding System and local weather station datasets. Inter-annual and seasonal fluctuations of precipitation and temperature were analysed and temporal relationships between monthly NDVI, precipitation and temperature were examined. Results indicated NDVI values observed in June and July were strongly correlated with accumulated precipitation (R2 >0.75), while NDVI values observed early in the growing season (May) as well as late in the growing season (August and September) were only moderately related with accumulated precipitation (R2 ≥0.45). The role of ambient temperature was also apparent, especially early in the growing season. Specifically, early growing-season temperatures appeared to significantly affect plant phenology and, consequently, correlations between NDVI and accumulated precipitation. It is concluded that precipitation during the growing season is a better predictor of NDVI than temperature but is interrelated with influences of temperature in parts of the growing season.

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