scholarly journals The Relationship between Air-Mass Trajectories and the Abundance of Dust-Borne Prokaryotes at the SE Mediterranean Sea

Atmosphere ◽  
2019 ◽  
Vol 10 (5) ◽  
pp. 280 ◽  
Author(s):  
Eyal Rahav ◽  
Natalia Belkin ◽  
Adina Paytan ◽  
Barak Herut
Keyword(s):  
Mediterranean Sea ◽  
Temporal Variability ◽  
Airborne Microorganisms ◽  
Coastal Site ◽  
Air Mass ◽  
Dust Aerosols ◽  
Air Mass Trajectories ◽  
Airborne Microbes ◽  
The Relationship ◽  
Air Mass Trajectory

Airborne prokaryotes are transported along with dust/aerosols, yet very little attention is given to their temporal variability above the oceans and the factors that govern their abundance. We analyzed the abundance of autotrophic (cyanobacteria) and heterotopic airborne microbes in 34 sampling events between 2015–2018 at a coastal site in the SE Mediterranean Sea. We show that airborne autotrophic (0.2–7.6 cells × 103 m−3) and heterotrophic (0.2–30.6 cells × 103 m−3) abundances were affected by the origin and air mass trajectory, and the concentration of dust/aerosols in the air, while seasonality was not coherent. The averaged ratio between heterotrophic and autotrophic prokaryotes in marine-dominated trajectories was ~1.7 ± 0.6, significantly lower than for terrestrial routes (6.8 ± 6.1). Airborne prokaryotic abundances were linearly and positively correlated to the concentrations of total aerosol, while negatively correlated with the aerosol’s anthropogenic fraction (using Pb/Al or Cu/Al ratios as proxies). While aerosols may play a major role in dispersing terrestrial and marine airborne microbes in the SE Mediterranean Sea, the mechanisms involved in the dispersal and diversity of airborne microorganisms remain to be studied and should include standardization in collection and analysis protocols.

scholarly journals APPLICATION OF BACKWARD AIR MASS TRAJECTORY ANALYSIS IN EVALUATING AIRBORNE POLLEN DISPERSION

2006 ◽  
Vol 14 (3) ◽  
pp. 113-120 ◽  
Author(s):  
Ingrida Šaulienė ◽  
Laura Veriankaitė
Keyword(s):  
Long Range ◽  
Trajectory Analysis ◽  
Airborne Pollen ◽  
Birch Pollen ◽  
Spore Trap ◽  
Pollen Dispersion ◽  
Air Mass ◽  
Air Mass Trajectories ◽  
Pollen Transport ◽  
Air Mass Trajectory

To investigate airborne pollen movement aerobiologists use backward air mass trajectories. In the present paper the peculiarities of airborne birch pollen dispersion are analysed. In 2005 at Šiauliai Aerobiology Station pollen was recorded using Hirst‐type spore trap. The situation of birch bloom in neighbouring European countries was evaluated according to the European Aeroallergen Network database. It was generalized and used to prove long‐range pollen transport. Air mass trajectories were calculated according to the HYSPLIT 4 model the trajectory drawing principle of which is based on the integration of the position of air mass with regard to time. The present study has shown that backward air mass trajectory analysis may be applied in investigating relationship among pollen dispersion, meteorological conditions and air mass transport. It is estimated that at Šiauliai Aerobiology Station the dynamics of pollen concentration is determinated by local flora and airborne pollen long‐range transport. The evaluation of pollen dispersion by the backward air mass trajectory method presented in the paper established precondition to look for possibilities of application of the HYSPLIT 4 model to prepare the forecasts of pollen dispersion.

scholarly journals A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 2. Spatially and environmentally explicit estimates of egg production

2011 ◽  
Vol 68 (3) ◽  
pp. 528-536 ◽  
Author(s):  
Miguel Bernal ◽  
Yorgos Stratoudakis ◽  
Simon Wood ◽  
Leire Ibaibarriaga ◽  
Luis Valdés ◽  
...  
Keyword(s):  
Temporal Variability ◽  
Environmental Variables ◽  
Egg Production ◽  
Stock Assessment ◽  
Production Model ◽  
Estimation Methods ◽  
Statistical Framework ◽  
Spatio Temporal ◽  
The Relationship ◽  
Made In

Abstract Bernal, M., Stratoudakis, Y., Wood, S., Ibaibarriaga, L., Uriarte, A., Valdés, L., and Borchers, D. 2011. A revision of daily egg production estimation methods, with application to Atlanto-Iberian sardine. 2. Spatially and environmentally explicit estimates of egg production. – ICES Journal of Marine Science, 68: . A spatially and environmentally explicit egg production model is developed to accommodate a number of assumptions about the relationship between egg production and mortality and associated environmental variables. The general model was tested under different assumptions for Atlanto-Iberian sardine. It provides a flexible estimator of egg production, in which a range of assumptions and hypotheses can be tested in a structured manner within a well-defined statistical framework. Application of the model to Atlanto-Iberian sardine increased the precision of the egg production time-series, and allowed improvements to be made in understanding the spatio-temporal variability in egg production, as well as implications for ecology and stock assessment.

scholarly journals Monitoring studies should consider temporal variability to reveal relations between cyanobacterial abundance and environmental variables

2015 ◽  
Vol 87 (3) ◽  
pp. 1717-1726 ◽  
Author(s):  
JULIANA WOJCIECHOWSKI ◽  
ANDRÉ A. PADIAL
Keyword(s):  
Temporal Variability ◽  
Environmental Variables ◽  
Environmental Changes ◽  
Environmental Variability ◽  
Time Lag ◽  
Cyanobacteria Blooms ◽  
Environment Variables ◽  
Sampling Points ◽  
The Relationship

One of the main goals of monitoring cyanobacteria blooms in aquatic environments is to reveal the relationship between cyanobacterial abundance and environmental variables. Studies typically correlate data that were simultaneously sampled. However, samplings occur sparsely over time and may not reveal the short-term responses of cyanobacterial abundance to environmental changes. In this study, we tested the hypothesis that stronger cyanobacteria x environment relationships in monitoring are found when the temporal variability of sampling points is incorporated in the statistical analyses. To this end, we investigated relationships between cyanobacteria and seven environmental variables that were sampled twice yearly for three years across 11 reservoirs, and data from an intensive monitoring in one of these reservoirs. Poor correlations were obtained when correlating data simultaneously sampled. In fact, the 'highly recurrent' role of phosphorus in cyanobacteria blooms is not properly observed in all sampling periods. On the other hand, the strongest correlation values for the total phosphorus x cyanobacteria relationship were observed when we used the variation of sampling points. We have also shown that environment variables better explain cyanobacteria when a time lag is considered. We conclude that, in cyanobacteria monitoring, the best approach to reveal determinants of cyanobacteria blooms is to consider environmental variability.

The relation between the 18O and deuterium contents of rain water in the Negev Desert and air-mass trajectories

1983 ◽  
Vol 41 ◽  
pp. 205-218 ◽  
Author(s):  
Claude Leguy ◽  
Michael Rindsberger ◽  
A. Zangwil ◽  
Arie Issar ◽  
Joel R. Gat
Keyword(s):  
Rain Water ◽  
Negev Desert ◽  
Air Mass ◽  
Air Mass Trajectories

An air-mass trajectory study of the transport of radioactivity from Fukushima to Thessaloniki, Greece and Milan, Italy

2013 ◽  
Vol 75 ◽  
pp. 163-170 ◽  
Author(s):  
A. Ioannidou ◽  
E. Giannakaki ◽  
M. Manolopoulou ◽  
S. Stoulos ◽  
E. Vagena ◽  
...  
Keyword(s):  
Air Mass ◽  
Air Mass Trajectory
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