Role of Climatic Factors in Emergence of Sal Heartwood Borer, Hoplocerambyx spinicornis Newman, in Dindori Forest Division, Madhya Pradesh and its Management

2018 ◽  
Vol 41 (2) ◽  
pp. 149-159
Author(s):  
N. Roychoudhury ◽  
◽  
Dheeraj Kumar Gupta ◽  
Rajesh Kumar Mishra ◽  
◽  
...  

The present paper reports the emergence of sal heartwood borer, Hoplocerambyx spinicornis Newman (Coleoptera: Cerambycidae) and its infestation in Dindori Forest Division, Dindori, Madhya Pradesh, during the year 2012-2014.Out of the six sal forest ranges, viz. Bajag, East Karanjia, West Karanjia, Garasarai, North Samnapur and South Samnapur, sal borer incidence was recorded in five ranges, and there was no borer attacked trees noticed in sal forests of Garasarai range during the study period.The emergence of borer beetles started during the year 2012. The data on borer infestations revealed that a total of 699 sal trees were affected during the year 2012 in three ranges, viz. Bajag, East Karanjia, and South Samnapur, 6139 during 2013 in four ranges, viz. Bajag, East Karanjia, West Karanjia, and South Samnapur, 29382 during 2014 in five ranges, viz.Bajag, East Karanjia, West Karanjia, North Samnapur and South Samnapur. The average sal borer incidence was 0.02 tree/ha, 0.11 tree/ha, 0.45 tree/ha during the year 2012, 2013 and 2014 respectively. The maximum number of borer affected sal trees was recorded to be in Type T7 and girth class 121-150 cm GBH. The number of borer affected sal trees and sal borer incidence recorded during the study period was correlated with meteorological data, such as temperature, relative humidity and rainfall. The data on borer incidence when correlated with minimum, maximum, and mean temperatures, relative humidity and rainfall showed significant (P<0.05) negative correlation with relative humidity (r = -0.927), other parameters exhibited no conclusive (P>0.05) difference. Trap-tree operation was conducted during the emergence period (June-July) of sal borer beetles, in different affected compartments of Forest Ranges, for its collection. A total number of borer beetles trapped were 1285 during the year 2013, collected from three ranges, whereas during the year 2014 and 2015 beetletrapped was 4440 and 79186 collected from four and five ranges of the Division respectively. The collection of borer beetles reduced its incidence which reflects the efficiency of Trap-tree operation in management of sal borer. The results are discussed in the light of the present findings.

2017 ◽  
Vol 1 (1) ◽  
pp. 37-45
Author(s):  
Seema Mehra Parihar ◽  
Soma Sarkar ◽  
Premendra Kumar

Geographic Information System (GIS) today supports health and disease mapping in diverse ways. Present study divulges geographic dimensions of malaria disease in Madhya Pradesh and Chhattisgarh states located in Central India. Chhattisgarh is second and Madhya Pradesh is the third most malarious states after Odisha in India. In the present study, an attempt is made to map climate-based malaria transmission suitability using fuzzy logic for Central India. Temperature and relative humidity were selected as the two indicators for malaria transmission suitability analysis. District wise meteorological data for 2008 was used for the present study. Monthly temperature and relative humidity interpolation maps were generated using ‘Natural Neighbor’ interpolation algorithm. For both the indicators trapezoidal membership function was selected. Arc GIS software and its FUZZY tool were used to generate ‘climate suitability map’ for malaria transmission depicting the spatial distribution of Transmission Window length (in months) across the region. The findings illustrate that most districts of Chattisgarh and very few districts of Madhya Pradesh have transmission window open for more than 10 months and are identified as ‘High Endemic Regions’. Compared to Chhattisgarh, Madhya Pradesh experiences more numbers of least suitable months i.e. February, March, April and May. The study aims to benefit judicious decision making for efficient intervention implementation.


2018 ◽  
Vol 24 (1) ◽  
Author(s):  
LAKSHMI CHOUDHARY ◽  
PRABHAWATI PRABHAWATI

Prevalence of soil transmitted helminthes infections in apparently healthy school going children and other 528 people of different districts of Koshi regions of North Bihar were evaluated. Over all incidences of STHs infection was 39.39% during study. High incidence of STH was seen in the rainy season i.e., in the month of July and August, September, significantly higher (P<0.05) .The incidence of Ascaris lumbricoides was highest in the month of August (18.64%). The month of September was 15.25% followed by that of July (14.4%) and October with 10.16%. Also the incidence of hookworm registered the highest incidence in the month of June (19.27%) and lowest in the month of December (4.82%) during the study period. However prevalence of Trichuris trichiura was negligible and it was almost nil in the most of the months but was highest in month of September with 28.57% and lowest in October with 14.00% The climatic factors are responsible for soil transmitted helminthes which are temperature, rainfall and relative humidity. Ascariasis, Trichuriasis and Ancyclostomiasis (Hookworm infection) are found to be endemic in this region.


Author(s):  
Laima TAPARAUSKIENĖ ◽  
Veronika LUKŠEVIČIŪTĖ

This study provides the analysis of drought conditions of vegetation period in 1982-2014 year in two Lithuanian regions: Kaunas and Telšiai. To identify drought conditions the Standardized Precipitation Index (SPI) was applied. SPI was calculated using the long-term precipitation record of 1982–2014 with in-situ meteorological data. Calculation step of SPI was taken 1 month considering only vegetation period (May, June, July, August, September). The purpose of investigation was to evaluate the humidity/aridity of vegetation period and find out the probability of droughts occurrence under Lithuanian climatic conditions. It was found out that according SPI results droughts occurred in 14.5 % of all months in Kaunas region and in 15.8 % in Telšiai region. Wet periods in Kaunas region occurred in 15.8 %, and in Telšiai region occurrence of wet periods was – 18.8 % from all evaluated months. According SPI evaluation near normal were 69.7 % of total months during period of investigation in Kaunas and respectively – 65.5 % in Telšiai. The probability for extremely dry period under Lithuania climatic conditions are pretty low – 3.0 % in middle Lithuania and 2.4 % in western part of Lithuania.


1934 ◽  
Vol 25 (3) ◽  
pp. 309-335 ◽  
Author(s):  
K. R. S. Morris

SummaryA detailed study of the bionomics ofGlossina longipalpis, Wied., was undertaken at Takoradi, the principal port of the Gold Coast in West Africa, and lasted from February to September 1931.The topography of this country is undulating; the vegetation is of Transition Forest type, intermediate in character between Rain Forest and Savannah Forest, and of an exceedingly dense, homogeneous nature, with a few small glades in the forest, and interrupted by large open marshes on the lower and flatter ground.The climate is remarkably equable, with a low mean annual rainfall between 40 and 45 inches, but constantly high humidities, owing to the moisture-laden sea-winds. There is a double rainy season, the main rains from April to July, and a second shorter period of rainfall in October and November.There is a rich mammalian fauna, with the exception of the larger game animals.Three species ofGlossinaoccur:G. longipalpis, Wied., the commonest, evenly distributed throughout the bush, and the only species dealt with in this paper;G. palpalis, R.-D., confined to water-courses and the edges of lagoons; andG. medicorum, Aust., rarely met with.Two isolated fly-belts, identical in every way, were studied. In one, section A, flies were caught and killed daily; in the other, section B, the control area, the flies were liberated after noting the catches. By September, the tsetse population of A had been reduced to less than one-third of that of B, presumably the effects of catching and killing.The main food hosts of this species were the bushbuck and duiker, ubiquitous in this forest. When these small game animals were driven out of a third fly-belt, section C, by farming and wood-cutting, the fly quickly and completely disappeared. This species was never found to feed on reptiles, although they were common in the fly-belts.Meteorological observations in the open country and in the fly-belts showed a consistently lower temperature and higher humidity in the latter, as well as its greater equity in these factors. The movement of the fly into the open was apparently governed by humidity, the greatest movement taking place when the humidity of the open was within the normal range of fly-belt humidity.By statistical methods, coefficients of correlation were determined for the fly's density-activity and various climatic factors of the fly-belt. The fly showed a high positive correlation with temperature, and a lower correlation with humidity, of which saturation deficit was a better index than atmometer evaporation. There was a significant correlation with sunshine, but none with rainfall. This correlation with humidity was mainly a temperature effect, as was also the correlation with sunshine. Temperature was evidently of major importance. There was a significant negative correlation between fly and relative humidity, measured with a wet and dry bulb hygrometer in a screen in the open.All correlations were greatest when considered direct, the fly catches with simultaneous climatic readings, indicating that these factors influence the activity of the fly in this way, rather than its density. The fly was found to be inactive at temperatures below 74°F., with high humidities of 80 or 90 per cent. or over. This explains the major influence of temperature, shown by the methods of correlations. The temperature range in the fly-belt, during the period of observations, was close to the temperature significant for the fly's activity, and therefore variations produced marked reactions; the humidity range was much closer to the fly's optimum and therefore better tolerated.There is marked daily rhythm in the fly's activity, which is only influenced by climate under extremely unfavourable conditions of temperature or humidity.The distribution ofG. longipalpisin the Gold Coast is dependent upon the humidity of the ecoclimate, rather than upon temperature. It occurs in three main vegetational types—Transition Forest, Inland Savannah Forest, and Coastal Savannah— where the range of humidities is between 50 and 80 per cent. R.H., and temperature between 75° and 85°F. It does not occur in the Rain Forest, where the relative humidity is constantly above 80 per cent., or in northern Savannah, where the humidity is as low as 30 per cent, in the dry season.The main breeding season was from March to July with its maximum in May, at the height of the rains.This species was found infected withTrypanosoma gambiense,T. congolense, andT. vivaxat Takoradi, and is probably second in importance toG. palpalisas a vector of sleeping sickness in the Gold Coast, but at present of less importance thanG. palpalisorG. tachinoidesin the transmission of trypanosomiasis of stock.The receding of the Ashanti forest and the present development of the Colony may cause even greater contact between this species of tsetse and man. The main policy for control should lie in improving and controlling the natives' methods of cultivating the bush. Farms should be as close to the village as possible, contiguous, and kept under cultivation, if possible, permanently. Clearings should be made of at least 100 yards width round bush villages, and of at least 200 yards width round important towns. Small clearings and isolated farms are considered a danger.


2021 ◽  
pp. 1-52
Author(s):  
Michel Beine ◽  
Lionel Jeusette

Abstract Recent surveys of the literature on climate change and migration emphasize the important diversity of outcomes and approaches of the empirical studies. In this paper, we conduct a meta-analysis in order to investigate the role of the methodological choices of these empirical studies in finding some particular results concerning the role of climatic factors as drivers of human mobility. We code 51 papers representative of the literature in terms of methodological approaches. This results in the coding of more than 85 variables capturing the methodology of the main dimensions of the analysis at the regression level. These dimensions include authors' reputation, type of mobility, measures of mobility, type of data, context of the study, econometric methods, and last but not least measures of the climatic factors. We look at the influence of these characteristics on the probability of finding any effect of climate change, a displacement effect, an increase in immobility, and evidence in favor of a direct vs. an indirect effect. Our results highlight the role of some important methodological choices, such as the frequency of the data on mobility, the level of development, the measures of human mobility and of the climatic factors as well as the econometric methodology.


2021 ◽  
Vol 13 (2) ◽  
pp. 313
Author(s):  
Yongfang Xu ◽  
Zhaohui Lin ◽  
Chenglai Wu

Central Asia is prone to wildfires, but the relationship between wildfires and climatic factors in this area is still not clear. In this study, the spatiotemporal variation in wildfire activities across Central Asia during 1997–2016 in terms of the burned area (BA) was investigated with Global Fire Emission Database version 4s (GFED4s). The relationship between BA and climatic factors in the region was also analyzed. The results reveal that more than 90% of the BA across Central Asia is located in Kazakhstan. The peak BA occurs from June to September, and remarkable interannual variation in wildfire activities occurs in western central Kazakhstan (WCKZ). At the interannual scale, the BA is negatively correlated with precipitation (correlation coefficient r = −0.66), soil moisture (r = −0.68), and relative humidity (r = −0.65), while it is positively correlated with the frequency of hot days (r = 0.37) during the burning season (from June to September). Composite analysis suggests that the years in which the BA is higher are generally associated with positive geopotential height anomalies at 500 hPa over the WCKZ region, which lead to the strengthening of the downdraft at 500 hPa and the weakening of westerlies at 850 hPa over the region. The weakened westerlies suppress the transport of water vapor from the Atlantic Ocean to the WCKZ region, resulting in decreased precipitation, soil moisture, and relative humidity in the lower atmosphere over the WCKZ region; these conditions promote an increase in BA throughout the region. Moreover, the westerly circulation index is positively correlated (r = 0.53) with precipitation anomalies and negatively correlated (r = −0.37) with BA anomalies in the WCKZ region during the burning season, which further underscores that wildfires associated with atmospheric circulation systems are becoming an increasingly important component of the relationship between climate and wildfire.


Author(s):  
Sina Shaffiee Haghshenas ◽  
Behrouz Pirouz ◽  
Sami Shaffiee Haghshenas ◽  
Behzad Pirouz ◽  
Patrizia Piro ◽  
...  

Nowadays, an infectious disease outbreak is considered one of the most destructive effects in the sustainable development process. The outbreak of new coronavirus (COVID-19) as an infectious disease showed that it has undesirable social, environmental, and economic impacts, and leads to serious challenges and threats. Additionally, investigating the prioritization parameters is of vital importance to reducing the negative impacts of this global crisis. Hence, the main aim of this study is to prioritize and analyze the role of certain environmental parameters. For this purpose, four cities in Italy were selected as a case study and some notable climate parameters—such as daily average temperature, relative humidity, wind speed—and an urban parameter, population density, were considered as input data set, with confirmed cases of COVID-19 being the output dataset. In this paper, two artificial intelligence techniques, including an artificial neural network (ANN) based on particle swarm optimization (PSO) algorithm and differential evolution (DE) algorithm, were used for prioritizing climate and urban parameters. The analysis is based on the feature selection process and then the obtained results from the proposed models compared to select the best one. Finally, the difference in cost function was about 0.0001 between the performances of the two models, hence, the two methods were not different in cost function, however, ANN-PSO was found to be better, because it reached to the desired precision level in lesser iterations than ANN-DE. In addition, the priority of two variables, urban parameter, and relative humidity, were the highest to predict the confirmed cases of COVID-19.


2009 ◽  
Vol 48 (9) ◽  
pp. 1790-1802 ◽  
Author(s):  
David P. Duda ◽  
Patrick Minnis

Abstract A probabilistic forecast to accurately predict contrail formation over the conterminous United States (CONUS) is created by using meteorological data based on hourly meteorological analyses from the Advanced Regional Prediction System (ARPS) and the Rapid Update Cycle (RUC) combined with surface and satellite observations of contrails. Two groups of logistic models were created. The first group of models (SURFACE models) is based on surface-based contrail observations supplemented with satellite observations of contrail occurrence. The most common predictors selected for the SURFACE models tend to be related to temperature, relative humidity, and wind direction when the models are generated using RUC or ARPS analyses. The second group of models (OUTBREAK models) is derived from a selected subgroup of satellite-based observations of widespread persistent contrails. The most common predictors for the OUTBREAK models tend to be wind direction, atmospheric lapse rate, temperature, relative humidity, and the product of temperature and humidity.


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