Nawel Ganaoui, Mohamed Chérif Maazi and Azzedine Chefrour
. 2006. Variations saisonnières d’activité dans un assemblage de coléoptères nécrophages (Coleoptera, Scarabaeidae) en forêt tropicale humide. Revue d’Écologie (Terre Vie), 61 (3): 247–260.
F inn J.A., G ittings T., G iller P.S. 1999. Spatial and temporalvariation in species composition of dung beetle assemblages in southern Ireland. Ecological Entomology, 24 (1): 24-36.
F innamore A.T. 1996. The advantages of using arthropods in ecosystem management. A brief from the Biological Survey of Canada (Terrestrial Arthropods). Biological Survey of Canada
Pratibha Warwade, Shalini Tiwari, Sunil Ranjan, Surendra K. Chandniha and Jan Adamowski
This study detected, for the first time, the long term annual and seasonal rainfall trends over Bihar state, India, between 1901 and 2002. The shift change point was identified with the cumulative deviation test (cumulative sum – CUSUM), and linear regression. After the shift change point was detected, the time series was subdivided into two groups: before and after the change point. Arc-Map 10.3 was used to evaluate the spatial distribution of the trends. It was found that annual and monsoon rainfall trends decreased significantly; no significant trends were observed in pre-monsoon, monsoon, post-monsoon and winter rainfall. The average decline in rainfall rate was –2.17 mm·year−1 and –2.13 mm·year−1 for the annual and monsoon periods. The probable change point was 1956. The number of negative extreme events were higher in the later period (1957–2002) than the earlier period (1901–1956).
Wael S. El-Tohamy, Samar N. ABDEL-Baki, Nagwa E. Abdel-Aziz and Abdel-Aziz A. Khidr
(Ruda River, Poland). Ecol Chem Eng S. 2017;24(2):285-298. DOI: 10.1515/eces-2017-0020.
 Karbassi A, Nouri J, Mehrdadi N, Ayaz G. Flocculation of heavy metals during mixing of freshwater with Caspian Sea water. Environ Geol. 2008;53(8):1811-1816. DOI: 10.1007/s00254-007-0786-7.
 Najafpour S, Alkarkhi A, Kadir M, Najafpour GD. Evaluation of spatial and temporalvariation in river water quality. Int J Environ Res. 2009;2(4):349-358. DOI: 10.1016/j.jenvman.2009.11.001.
 Wahaab RA, Badawy MI. Water quality assessment of the River Nile system: an
Robert Kalbarczyk, Eliza Kalbarczyk, Irena Niedźwiecka-Filipiak and Liliana Serafin
This study analyzed the temporal variation of tropospheric ozone (O3) in Poznan (midwestern Poland) on the basis of data collected from a State Environmental Monitoring air quality assessment station. The aim was to investigate the distribution and variation of O3 levels and to assess the relationship with nitrogen oxides (NOx) and meteorological conditions. These relationships were assessed by multiple regression analysis and cluster analysis. The O3 levels showed a high annual, seasonal and daily volatility, and were significantly influenced by meteorological conditions and NOx levels. High O3 levels were accompanied by above-average levels of radiation (Rad), air temperature (Ta) and wind speed (Ws), together with below-average values of NOx and humidity (Rh). Atmospheric pressure (Ph) had an ambiguous effect on O3 levels.
Mohammad Nazarifar, Mohammad Kanani and Rezvaneh Momeni
AHMAD, M. D. - MASIH, I. - TURRAL, H. 2004. Diagnostic analysis of spatial and temporalvariations in crop water productivity: A field scale analysis of the rice-wheat cropping system of Punjab, Pakistan. In Journal of Applied Irrigation Science , vol. 39 , 2004, no. 1, pp. 43-63.
ALLEN, R. G. - PEREIRA, L. S. - RAES, D. - SMITH, M. 1998. Crop evapotranspiration: Guidelines for computing crop water requirements. Italy, Rome : Food and Agriculture Organization (FAO) press, 1998. 328 pp. ISBN 92
Saleh Yousefi, Seyed Hamidreza Sadeghi, Somayeh Mirzaee, Martine van der Ploeg, Saskia Keesstra and Artemi Cerdà
Sadeghi, S.H.R., Mizuyama, T., Miyata, S., Gomi, T., Kosugi, K., Mizugaki, S., Onda, Y., 2007. Is MUSLE apt to small steeply reforested watershed? J. Forest Res., 12, 270-277. DOI: 10.1007/s10310-007-0017-9.
Sadeghi, S.H.R., Moatamednia, M., Behzadfar, M., 2011. Spatial and temporalvariations in the rainfall erosivity factor in Iran. J.Agricul. Sci. Technol., 13, 451-464.
Sadeghi, S.H.R., Mizuyama, T., 2007. Applicability of Modified Universal Soil Loss Equation for prediction of sediment yield in Khanmirza watershed, Iran, Hydrol. Sci
transfer code for Landsat TM images. International Journal of Remote Sensing, 22(2-3), 487-502.
Dalu, T., Dube, T., Froneman, P.W., Sachikonye, T.B., Clegg, B.W. and Nhiwatiwa, T. (2015). An assessment of chlorophyll-a concentration spatio-temporalvariation using Landsat satellite data, in a small tropical reservoir. Geocarto International, 30(10), 1130-1143.
Heblinski, J., Schmieder, K., Heege, T., Agyemang, T.K., Sayadyan, H. and Vardanyan, L. (2011). High-resolution satellite remote sensing of littoral vegetation of Lake Sevan (Armenia
Snežana Simović, Dejan Aleksic, Tatjana Boskovic Matic, Katarina Vesic, Slavco Toncev, Svetlana Miletic Drakulic and Gordana Tončev
Stroke is one of leading causes of death worldwide. Different frequency of stroke occurence is observed in days of the week and months in the year, and incidence of stroke has irregular time pattern. We analyzed 516 patients who had acute stroke and were treated in Clinic of Neurology, Clinical Center Kragujevac from January 1, 2013 to January 1, 2014, mean age 72,11±11,52. Statistical analysis is conducted out using the SPSS software version 20.0. We used descriptive statistic, student T-test, chi-square or Fisher exact test.
Friday is day we found the most IS and all stroke types occurences, and Wednesday is day we found the most IS in men. We found the most strokes in women younger than 65 years on Wednesday, but in women older than 65 years on Friday. Monday is day with the most admissions to hospital for patients with IS, and we observed that there is average delay in the refering to the doctor for 1.80±1.44 days. Friday is the day with the most ICH symptom beginings and the most admissions to the hospital, and Saturday is the day with the least symptom beginings and admissions to the hospital in the case of IS and ICH. The most IS occured in winter (in Decembar), and the least in summer (in August). The most ICH occured in May, and the least in July and October.
We confirmed that there is a significant weekly variability in the IS symptom onset day.
Michał Nowak, Artur Klaczak, Paweł Szczerbik and Włodzimierz Popek
Sampling small-bodied fish species in large lowland rivers poses numerous difficulties often resulting in the underestimation of their true distribution and abundance. Some of these drawbacks might be overcome by using additional sampling gears and adapting sampling strategies to the biological specifications of the target species. The results of a two-year, repeated survey on a single location on the Vistula River (southern Poland) revealed that nighttime beach seining proved to be very effective in collecting specimens of three imperiled species: Romanogobio belingi, Romanogobio kesslerii, and Sabanejewia baltica. It was found that these species were 4.3-8.8 times more abundant in nighttime than in daytime collections. The abundance of all three species peaked at dusk and gradually decreased in subsequent hours. In conclusion, nighttime beach seining is recommended as a supplementary sampling technique for small bottom-dwelling fish species in large lowland rivers.
Located in north-western Poland, the Bukowska Forest and Goleniowska Forest are vast woodlands consisting of areas with a homogeneous species composition that have been scarcely affected by humans. In this respect, they provided an excellent subject for scientific research, the purpose of which was to determine quantitative differences in selected vegetation indices of pine and beech stands in various periods during their vegetation seasons. Another purpose was to characterize the variation in these indices for each stand in its vegetation season. Four Landsat 5 TM images taken in 2007 and 2010 at four different points of vegetation season provided the basis for the analysis. In the analysis, 19 wooded areas with a homogeneous species composition were tested. In Bukowska Forest, the tested area was a beech stand, and in Goleniowska Forest, it was a pine stand. Acquired data was used to calculate the following vegetation indices: Normalized Difference Vegetation Index (NDVI), Transformed Vegetation Index (TVI), Green Normalized Difference Vegetation Index (Green NDVI), Normalized Difference Greenness Index (NDGI) and Normalized Difference Index (NDI). Subsequent research allowed to establish that the beech and pine stands differed significantly with respect to their calculated vegetation indices. These differences derived both from the biochemical and structural attributes of leaves and needles, as well as from transformations that occur in the stands during vegetation seasons. Analysis of the indices’ allowed us to determine these differences and the influence of the stands’ phenological phases on the indices.