scholarly journals Fall webworm — Hyphantria cunea (Drury, 1773) in Kharkiv region

2018 ◽  
pp. 67-73
Author(s):  
I. Lezhenina ◽  
S. Stankevych ◽  
I. Zabrodyna
Keyword(s):  
Second Generation ◽  
Morphological Characteristics ◽  
Weather Conditions ◽  
Hyphantria Cunea ◽  
Acer Negundo ◽  
Shelter Belt ◽  
Fall Webworm

Monitoring from 2014 have revealed a new focus of the fall webworm in Kharkiv district of Kharkiv region, in 1.7 km segment forest shelter belt of Acer negundo L. In four years (2014—2017) the number of the nests of fall webworm increased more than 60 times. The data on pest morphological characteristics and phenology have been provided. It was found that the weather conditions of 2016 contributed to the accelerated development of the Fall which Pasted 47 and 30 days in the finst and second generation respectively.

Plasticity of nutrient accumulation patterns in diapausing fall webworm pupae

2021 ◽  
pp. 1-8
Author(s):  
Lvquan Zhao ◽  
Wei Wang ◽  
Ying Qiu ◽  
Alex S. Torson
Keyword(s):  
The Body ◽  
Diapause Induction ◽  
Energy Reserve ◽  
Short Photoperiod ◽  
Induction Phase ◽  
Energy Reserves ◽  
Hyphantria Cunea ◽  
Survival And Reproduction ◽  
Fall Webworm ◽  
Diapause Incidence

Abstract The accumulation of nutrients during diapause preparation is crucial because any lack of nutrition will reduce the likelihood of insects completing diapause, thereby decreasing their chances of survival and reproduction. The fall webworm, Hyphantria cunea, diapause as overwintering pupae and their diapause incidence and diapause intensity are regulated by the photoperiod. In this study, we test the hypothesis that photoperiod influences energy reserve accumulation during diapause preparation in fall webworm. We found that the body size and mass, lipid and carbohydrate content of pupae with a short photoperiod during the diapause induction phase were significantly greater than those of pupae with a relatively short photoperiod, and the efficiency of converting digested food and ingested food into body matter was greater in the short-photoperiod diapause-destined larvae than the relatively short-photoperiod diapause-destined larvae. We also observed higher lipase and amylase activities in short-photoperiod diapause-destined larvae relative to the counterparts. However, no obvious difference was found in protein and protease in the pupae with a short photoperiod during the diapause induction phase and short-photoperiod diapause-destined larvae compared with the counterparts. Therefore, we conclude that the energy reserve patterns of diapausing fall webworm pupae are plastic and that short-photoperiod diapause-destined larvae increase their energy reserves by improving their feeding efficiency and increase their lipid and carbohydrate stores by increasing the lipase and amylase activities in the midgut.

Urban Finescale Forecasting Reveals Weather Conditions with Unprecedented Detail

2017 ◽  
Vol 98 (12) ◽  
pp. 2675-2688 ◽  
Author(s):  
R. J. Ronda ◽  
G. J. Steeneveld ◽  
B. G. Heusinkveld ◽  
J. J. Attema ◽  
A. A. M. Holtslag
Keyword(s):  
Local Governments ◽  
Weather Forecasting ◽  
Weather Prediction ◽  
Morphological Characteristics ◽  
Weather Conditions ◽  
Human Thermal Comfort ◽  
Forecasting System ◽  
The Impact ◽  
Urban Weather ◽  
Neighborhood Level

Abstract Urban landscapes impact the lives of urban dwellers by influencing local weather conditions. However, weather forecasting down to the street and neighborhood scale has been beyond the capabilities of numerical weather prediction (NWP) despite the fact that observational systems are now able to monitor urban climate at these scales. In this study, weather forecasts at intra-urban scales were achieved by exploiting recent advances in topographic element mapping and aerial photography as well as looking at detailed mappings of soil characteristics and urban morphological properties, which were subsequently incorporated into a specifically adapted Weather Research and Forecasting (WRF) Model. The urban weather forecasting system (UFS) was applied to the Amsterdam, Netherlands, metropolitan area during the summer of 2015, where it produced forecasts for the city down to the neighborhood level (a few hundred meters). Comparing these forecasts to the dense network of urban weather station observations within the Amsterdam metropolitan region showed that the forecasting system successfully determined the impact of urban morphological characteristics and urban spatial structure on local temperatures, including the cooling effect of large water bodies on local urban temperatures. The forecasting system has important practical applications for end users such as public health agencies, local governments, and energy companies. It appears that the forecasting system enables forecasts of events on a neighborhood level where human thermal comfort indices exceeded risk thresholds during warm weather episodes. These results prove that worldwide urban weather forecasting is within reach of NWP, provided that appropriate data and computing resources become available to ensure timely and efficient forecasts.

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