scholarly journals The Effects of Ecological Factors on the Main Medicinal Components of Dendrobium officinale under Different Cultivation Modes

Forests ◽  
2020 ◽  
Vol 11 (1) ◽  
pp. 94 ◽  
Author(s):  
Yingdan Yuan ◽  
Xinggang Tang ◽  
Zhaohui Jia ◽  
Chong Li ◽  
Jieyi Ma ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Sunshine Duration ◽  
Ecological Factors ◽  
Principal Component ◽  
Dendrobium Officinale ◽  
Maximum Temperature ◽  
Available Phosphorus ◽  
Quality Factors ◽  
Soil Available Phosphorus ◽  
Total Alkaloids

Dendrobium officinale is an important traditional Chinese medicinal plant and crop, which contains many kinds of medicinal components. The quality of medicinal plants is closely related to the ecological factors in a growing environment. The main components of D. officinale determined in this study were polysaccharides, total alkaloids and total flavonoids. In addition, this study dealt with the correlation of these components to 16 ecological factors under three different cultivation modes (Greenhouse, Bionic, Wild; Lu’an, Anhui Province, China). The relationship between ecological factors and quality factors was analyzed step by step using correlation analysis, principal component analysis and stepwise multiple linear regression. Eight ecological factors: maximum relative humidity, minimum relative humidity, maximum temperature, sunshine duration, soil pH, soil total nitrogen, soil total phosphorus and soil available phosphorus were considered as key factors that influenced the main medicinal qualities of cultivated D. officinale. This study provides an insight for exploring the complex relationship between ecological factors and D. officinale medicinal value in artificial cultivation.

scholarly journals Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland

2021 ◽  
Vol 18 (8) ◽  
pp. 3951
Author(s):  
Bogdan Bochenek ◽  
Mateusz Jankowski ◽  
Marta Gruszczynska ◽  
Grzegorz Nykiel ◽  
Maciej Gruszczynski ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Negative Impact ◽  
Sunshine Duration ◽  
Principal Component ◽  
Meteorological Conditions ◽  
Maximum Temperature ◽  
Sunshine Hours ◽  
Meteorological Observations ◽  
Novel Coronavirus ◽  
Nonpharmaceutical Interventions

Coronavirus disease 2019 (COVID-19) is an infectious disease caused by the novel coronavirus. The role of environmental factors in COVID-19 transmission is unclear. This study aimed to analyze the correlation between meteorological conditions (temperature, relative humidity, sunshine duration, wind speed) and dynamics of the COVID-19 pandemic in Poland. Data on a daily number of laboratory-confirmed COVID-19 cases and the number of COVID-19-related deaths were gatheredfrom the official governmental website. Meteorological observations from 55 synoptic stations in Poland were used. Moreover, reports on the movement of people across different categories of places were collected. A cross-correlation function, principal component analysis and random forest were applied. Maximum temperature, sunshine duration, relative humidity and variability of mean daily temperature affected the dynamics of the COVID-19 pandemic. An increase intemperature and sunshine hours decreased the number of confirmed COVID-19 cases. The occurrence of high humidity caused an increase in the number of COVID-19 cases 14 days later. Decreased sunshine duration and increased air humidity had a negative impact on the number of COVID-19-related deaths. Our study provides information that may be used by policymakers to support the decision-making process in nonpharmaceutical interventions against COVID-19.

scholarly journals General Formula for Estimation of Monthly Mean Global Solar Radiation in Different Climates on the South and North Coasts of Iran

2007 ◽  
Vol 2007 ◽  
pp. 1-7 ◽  
Author(s):  
Ali A. Sabziparvar
Keyword(s):  
Relative Humidity ◽  
Solar Radiation ◽  
General Formula ◽  
Sunshine Duration ◽  
Global Radiation ◽  
Global Solar Radiation ◽  
Maximum Temperature ◽  
The South ◽  
Coastal Regions ◽  
Different Climates

Using sunshine duration, cloud cover, relative humidity, average of maximum temperature, and ground albedo as the input of several radiation models, the monthly average daily solar radiation on horizontal surface in various coastal cities of the South (25.23∘N) and the North (38.42∘N) of Iran are estimated. Several radiation models are tested and further are revised by taking into consideration the effects of relative humidity, ground albedo, and Sun-Earth distance. Model validation is performed by using up to 13 years (1988–2000) of daily solar observations. Errors are calculated using MBE, MABE, MPE, and RMSE statistical criteria (see nomenclature) and further a general formula which estimates the global radiation in different climates of coastal regions is suggested. The proposed method shows a good agreement (less than7%deviation) with the long-term pyranometric data. In comparison with other works done so far, the suggested method performs a higher degree of accuracy for those of two regions. The model results can be extended to other locations in coastal regions where solar data are not available.

scholarly journals Impact Of Temperature and Sunshine Duration on Daily New Cases and Death due to COVID-19

2020 ◽  
Author(s):  
Swati Thangariyal ◽  
Aayushi Rastogi ◽  
Arvind Tomar ◽  
Ajeet Bhadoria ◽  
Sukriti Baweja
Keyword(s):  
Sunshine Duration ◽  
Ecological Factors ◽  
Critical Issue ◽  
Climatic Conditions ◽  
Maximum Temperature ◽  
Average Temperature ◽  
Climate Indicators ◽  
Average Maximum ◽  
Average Maximum Temperature ◽  
Average Minimum Temperature

AbstractBackgroundThe coronavirus pandemic (COVID-19) control has now become a critical issue for public health. Many ecological factors are proven to influence the transmission and survival of the virus. In this study, we aim to determine the association of different climate factors with the spread and mortality due to COVID-19.MethodsThe climate indicators included in the study were duration of sunshine, average minimum temperature and average maximum temperature, with cumulative confirmed cases, deceased and recovered cases. The data was performed for 138 different countries of the world, between January 2020 to May 2020. Both univariate and multivariate was performed for cumulative and month-wise analysis using SPSS software.ResultsThe average maximum temperature, and sunshine duration was significantly associated with COVID-19 confirmed cases, deceased and recovered. For every one degree increase in mean average temperature, the confirmed, deceased and recovered cases decreased by 2047(p=0.03), 157(p=0.016), 743 (p=0.005) individuals. The association remained significant even after adjusting for environmental such as sunshine duration as well as non-environmental variables. Average sunshine duration was inveserly correlated with increase in daily new cases (ρ= -2261) and deaths (ρ= -0.2985).ConclusionHigher average temperature and longer sunshine duration was strongly associated with COVID-19 cases and deaths in 138 countries. Hence the temperature is an important factor in SARS CoV-2 survival and this study will help in formulating better preventive measures to combat COVID-19 based on their climatic conditions.

scholarly journals Factors affecting the trends in evaporation during different crop growing seasons over India

MAUSAM ◽  
2021 ◽  
Vol 62 (3) ◽  
pp. 391-402
Author(s):  
R.P. SAMUI ◽  
G. JOHN ◽  
S.P. RANSURE ◽  
M.A. PACHANKAR
Keyword(s):  
Relative Humidity ◽  
Wind Velocity ◽  
Meteorological Factors ◽  
Sunshine Duration ◽  
Meteorological Data ◽  
Maximum Temperature ◽  
Peninsular India ◽  
High Positive Correlation ◽  
Growing Seasons ◽  
Increasing Trend

Evaporation, rainfall and meteorological data for the period 1971-2004 for 58 well distributed stations over India were selected for the study. Trends of evaporation and rainfall in five regions, viz., Northwest, North, Northeast, Central and Peninsular regions of India during different crop growing seasons, viz., kharif, rabi and summer and the meteorological factors contributing towards the trend were analyzed. Annual evaporation shows decreasing trend in all the regions of the country. Trends in seasonal evaporation during kharif, rabi and summer seasons also showed decreasing trends in Northwest, North, Central and Peninsular regions of the country while few locations in Northeast India, viz., Guwahati, Dibrugarh and Tocklai showed significant increasing trend in evaporation during kharif and rabi seasons. No significant trend in annual and seasonal rainfall was observed in Indian region except a few stations in peninsular India where increasing trend was observed. Normalized anomalies of maximum temperature, relative humidity and vapour pressure showed increasing trend in Northwest and Northern regions during all the three crop growing seasons while decreasing trend or no trend in wind velocity was observed in all the regions except in central region where increasing trend was observed during summer season. As evaporation relates to the meteorological elements, viz., temperature, sunshine duration, wind velocity and relative humidity, the likely causative meteorological factors for such changes are studied. Increasing trends in maximum temperature was observed in central and peninsular inland regions of the country during rabi and summer seasons while slight decreasing trends were observed in the Northeast region during kharif season. High positive correlation found between maximum temperature and wind velocity indicates that the trend in evaporation is mostly influenced by these two factors. Increase in humidity and decrease in bright sunshine hours were both important and found correlated with the decrease in evaporation.

scholarly journals Population dynamics of aphid and coexisting predators in tomato agroecosystem

2021 ◽  
Vol 23 (2) ◽  
pp. 200-206
Author(s):  
SHIVANI KHOKHAR ◽  
KRISHNA ROLANIA
Keyword(s):  
Population Dynamics ◽  
Relative Humidity ◽  
Aphis Gossypii ◽  
Management Strategies ◽  
Principal Component ◽  
Significant Negative Correlation ◽  
Aphid Species ◽  
Maximum Temperature ◽  
Positive Density ◽  
Aphid Infestation

Aphids generally attack vegetative plant parts, preferably leaves, and devitalize the plant by sucking the cell sap. Thorough knowledge of pest-predator ecology and their interaction is requisite to initiate timely pest management strategies. Therefore, we aimed to study the population dynamics of aphids and their predators on tomato in Hisar, Haryana during Rabi, 2016-17 and 2017-18. We observed two dominant aphid species viz., Aphis gossypii and Myzus persicae and three aphidophagous predator groups viz., coccinellids, spiders and syrphid fly maggots in the tomato agroecosystem. Aphid infestation started during the 9th standard meteorological week (SMW) and attained a peak during the 12th SMW (22.65 aphids per three leaves per plant). Aphid population exhibited highly significant negative correlation with minimum temperature (r= -0.917**), maximum temperature (r= -0.895**) and wind speed (r= -0.809**). However, it was positively correlated with morning relative humidity (r= 0.933**) and evening relative humidity (r= 0.856**). We used Principal component analysis (PCA) to reduce the dimensions of data and variables were transformed into principal components (PC) to explain the nature and extent of the relationships among different variables. PC1 and PC2 capture 57.6 and 20.3% of the variability in the data, respectively. Aphid predators exhibited a significant positive correlation with the prey population suggesting a positive density-dependent response.

scholarly journals Multivariate Analysis of Spider Diversity in Agricultural, Horticultural and Silvicultural Ecosystems and their Relation to Subtropical Climatic Conditions

2021 ◽  
Author(s):  
Jyotim Gogoi ◽  
Kennedy Ningthoujam
Keyword(s):  
Relative Humidity ◽  
Pearson Correlation ◽  
Regression Line ◽  
Geographical Area ◽  
Principal Component ◽  
Climatic Conditions ◽  
Maximum Temperature ◽  
Agricultural Ecosystem ◽  
Generic Level ◽  
Canonical Coefficient

Abstract Spiders are the Arthropod and belong to the Phylum: Arthropoda, Class: Arachnida, Order: Araneae. Spiders totally depend on predation of small insects and other animals and have important role in the structure of communities and food webs both as an individual numbers and as an energy consumer.. Hence, documentation of spiders gives information about biodiversity of ecosystem in a particular geographical area. Totally arthropods belonged to 14 orders and 85 Nos. of different families. To study the similarity between two groups in species, family and ordinal level is used Agglomerative Hierarchical Clustering (AHC). Principal Component Analysis (PCA) and Correspondence Analysis (CA) were evaluated to understand the arthropod population dynamics and habitat specific occurrence of spiders in different ecosystem Viz., Silvicultural, Horticultural and Agricultural ecosystem. To correlate the weather parameters with spider population we used Pearson correlation, regression line, Redundancy Analysis (RDA) and Canonical Coefficient Analysis (CCA). Correlation analysis showed arthropod population positively correlated to maximum and minimum temperature and evening relative humidity and negatively correlated to morning relative humidity and rainfall. The eigenvectors at generic level was found maximum in horticultural ecosystem (0.591) followed by silvicultural (0.581), maize (0.407), rice (0.329) and potato ecosystem (0.183) in factor (F1). The asymmetric CA row and column plot in generic level suggested that the genus Tylorida,, potato and horticultural ecosystems respectively. In case of weather perimeter with relation to arthropod population RDA showed that Arachnids families viz., Lycosidae, Thomisidae, Theridiidae, Tetraganthidae etc are closely associated with maximum temperature in silvicultural and horticultural ecosystems.

scholarly journals Principal component regression analysis demonstrates the collinearity-free effect of sub estimated climatic variables on tree growth in the central Amazon

2021 ◽  
Vol 69 (2) ◽  
Author(s):  
Ricardo Antonio Marenco ◽  
Saul Alfredo Antezana-Vera
Keyword(s):  
Relative Humidity ◽  
Tree Growth ◽  
Seasonal Pattern ◽  
Climatic Variability ◽  
Principal Component Regression ◽  
Principal Component ◽  
Climatic Variables ◽  
Maximum Temperature ◽  
Central Amazon ◽  
Minimum Relative Humidity

Introduction: Climatic variables show a seasonal pattern in the central Amazon, but the intra-annual variability effect on tree growth is still unclear. For variables such as relative humidity (RH) and air vapor pressure deficit (VPD), whose individual effects on tree growth can be underestimated, we hypothesize that such influences can be detected by removing the effect of collinearity between regressors. Objective: This study aimed to determine the collinearity-free effect of climatic variability on tree growth in the central Amazon. Methods: Monthly radial growth was measured in 325 trees from January 2013 to December 2017. Irradiance, air temperature, rainfall, RH, and VPD data were also recorded. Principal Component Regression was used to assess the effect of micrometeorological variability on tree growth over time. For comparison, standard Multiple Linear Regression (MLR) was also used for data analysis. Results: Tree growth increased with increasing rainfall and relative humidity, but it decreased with rising maximum VPD, irradiance, and maximum temperature. Therefore, trees grew more slowly during the dry season, when irradiance, temperature and VPD were higher. Micrometeorological variability did not affect tree growth when MLR was applied. These findings indicate that ignoring the correlation between climatic variables can lead to imprecise results. Conclusions: A novelty of this study is to demonstrate the orthogonal effect of maximum VPD and minimum relative humidity on tree growth.

scholarly journals Meteorological Factors Affecting Pan Evaporation in the Haihe River Basin, China

Water ◽  
2019 ◽  
Vol 11 (2) ◽  
pp. 317 ◽  
Author(s):  
Zhihong Yan ◽  
Shuqian Wang ◽  
Ding Ma ◽  
Bin Liu ◽  
Hong Lin ◽  
...  
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Minimum Temperature ◽  
Sunshine Duration ◽  
Maximum Temperature ◽  
Haihe River Basin ◽  
Pan Evaporation ◽  
Haihe River ◽  
Average Temperature ◽  
The Haihe River Basin

Pan evaporation (Epan) is an important indicator of regional evaporation intensity and degree of drought. However, although more evaporation is expected under rising temperatures, the reverse trend has been observed in many parts of the world, known as the “pan evaporation paradox”. In this paper, the Haihe River Basin (HRB) is divided into six sub-regions using the Canopy and k-means (The process for partitioning an N-dimensional population into k sets on the basis of a sample is called “k-means”) to cluster 44 meteorological stations in the area. The interannual and seasonal trends and the significance of eight meteorological indicators, including average temperature, maximum temperature, minimum temperature, precipitation, relative humidity, sunshine duration, wind speed, and Epan, were analyzed for 1961 to 2010 using the trend-free pre-whitening Mann-Kendall (TFPW-MK) test. Then, the correlation between meteorological elements and Epan was analyzed using the Spearman correlation coefficient. Results show that the average temperature, maximum temperature, and minimum temperature of the HRB increased, while precipitation, relative humidity, sunshine duration, wind speed and Epan exhibited a downward trend. The minimum temperature rose 2 and 1.5 times faster than the maximum temperature and average temperature, respectively. A significant reduction in sunshine duration was found to be the primary factor in the Epan decrease, while declining wind speed was the secondary factor.

Clustering analysis of regional reference evapotranspiration and its components based on climatic variables across northeast China, 1961–2010

2015 ◽  
Vol 7 (1) ◽  
pp. 128-141 ◽  
Author(s):  
Yuan Liu ◽  
Buchun Liu ◽  
Xiaojuan Yang ◽  
Wei Bai
Keyword(s):  
Wind Speed ◽  
Relative Humidity ◽  
Northeast China ◽  
Reference Evapotranspiration ◽  
Potential Evapotranspiration ◽  
Sunshine Duration ◽  
Regional Distribution ◽  
Climatic Variables ◽  
Maximum Temperature ◽  
Sunshine Hours

Evapotranspiration integrates atmospheric demand and surface conditions. The Penman-Monteith equation was used to calculate annual and seasonal reference evapotranspiration (ET0) and thermodynamic and aerodynamic components (ETrad and ETaero) at 77 stations across northeast China, 1961–2010. The results were: (1) annual ETrad and ETaero had different regional distribution, annual ETrad values decreased from south to north, whereas the highest ETaero values were recorded in the eastern and western regions, the lowest in the central region; (2) seasonal ETaero distributions were similar to seasonal ET0, with a south–north longitudinal pattern, while seasonal ETrad distributions had a latitudinal east-west pattern; and (3) in the group for ET0 containing 69 sampling stations, effects of climatic variables on ET0 followed sunshine hours > relative humidity > maximum temperature > wind speed. Changes in sunshine hours had the greatest effect on ETrad, but wind speed and relative humidity were the most important variables to ETaero. The decline in sunshine duration, wind speed, or both over the study period appeared to be the major cause of reduced potential evapotranspiration in most of NEC. Wind speed had opposite effects on ETrad and ETaero, and therefore the effect of wind speed on ET0 was not significant.

scholarly journals Seed Set Patterns in East African Highland Cooking Bananas Are Dependent on Weather before, during and after Pollination

Horticulturae ◽  
2021 ◽  
Vol 7 (7) ◽  
pp. 165
Author(s):  
Allan Waniale ◽  
Rony Swennen ◽  
Settumba B. Mukasa ◽  
Arthur K. Tugume ◽  
Jerome Kubiriba ◽  
...  
Keyword(s):  
Critical Period ◽  
Floral Development ◽  
Seed Set ◽  
Correlation Coefficients ◽  
Principal Component ◽  
Maximum Temperature ◽  
Fruit Pulp ◽  
East African ◽  
Average Temperature ◽  
Wild Banana

Seed set in banana is influenced by weather, yet the key weather attributes and the critical period of influence are unknown. We therefore investigated the influence of weather during floral development for a better perspective of seed set increase. Three East African highland cooking bananas (EAHBs) were pollinated with pollen fertile wild banana ‘Calcutta 4′. At full maturity, bunches were harvested, ripened, and seeds extracted from fruit pulp. Pearson’s correlation analysis was then conducted between seed set per 100 fruits per bunch and weather attributes at 15-day intervals from 105 days before pollination (DBP) to 120 days after pollination (DAP). Seed set was positively correlated with average temperature (P < 0.05–P < 0.001, r = 0.196–0.487) and negatively correlated with relative humidity (RH) (P < 0.05–P < 0.001, r = −0.158–−0.438) between 75 DBP and the time of pollination. After pollination, average temperature was negatively correlated with seed set in ‘Mshale’ and ‘Nshonowa’ from 45 to 120 DAP (P < 0.05–P < 0.001, r = −0.213–−0.340). Correlation coefficients were highest at 15 DBP for ‘Mshale’ and ‘Nshonowa’, whereas for ‘Enzirabahima’, the highest were at the time of pollination. Maximum temperature as revealed by principal component analysis at the time of pollination should be the main focus for seed set increase.

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