Aridity in Vojvodina, Serbia (original) (raw)

Abstract

For investigating aridity in Vojvodina, two parameters were used: the De Martonne aridity index and the Pinna combinative index. These indices were chosen as the most suitable for the analysis of climate in Vojvodina (a region in northern part of Serbia). Also, these indices were calculated from data obtained from 10 meteorological stations for the period from 1949 to 2006. The spatial distribution of the annual and seasonal De Martonne and the Pinna combinative indices as well as the mean monthly values of the De Martonne index and aridity trends of these indices are presented. There were two, four, and five types of climate on a yearly, seasonal, and monthly basis in Vojvodina, according to the De Martonne climate classification which consists of a total of seven types. In addition, semi-humid and humid climate types were represented in the region, on a yearly basis. The winter season was dominated by wetter types of climate, while the summer season was characterized by drier ones. During the spring and autumn seasons, there were types of climate which range between both aforementioned types. Two out of three climate types, which can be identified using the Pinna combinative index, were registered in Vojvodina region. The most dominant climate type was the semidry Mediterranean with formal Mediterranean vegetation, while the humid type was only identified in one small part of southwestern Vojvodina. The calculated values of both aridity indices showed that there were no annual trends. Therefore, it can be considered that there were no recent aridity changes during the observed period. For paleoclimate, the general story is more complex. The lack of aridity trends in the recent period from 1949 to 2006 supports the fact that Vojvodina has very well preserved loess-palaeosol sequences from the Middle and Late Pleistocene, which indicates that crucial point for their preservation was caused by the weak aridity variability in the region.

Figures (9)

Fig. 1 Geographical location of meteorological stations in Vojvodina region

Fig. 1 Geographical location of meteorological stations in Vojvodina region

Table 2 De Martonne index climatic classification (Croitoru et al 2012)

Table 2 De Martonne index climatic classification (Croitoru et al 2012)

indices for all 10 stations for each year, for the observed period. Not only that the software shows the values of indices, but also it shows to which class of climate classifi- cation these values belong.

indices for all 10 stations for each year, for the observed period. Not only that the software shows the values of indices, but also it shows to which class of climate classifi- cation these values belong.

Fig. 3 The spatial distribution of the mean De Martonne aridity index, Ispm, per season from 1949 to 2006 in Vojvodinz  Generally, about 75 % of the territory of Vojvodina is characterized by humid climate and the rest of the territory is characterized by the semi-humid climate which is specific for the north and northeastern part of Vojvodina (Fig. 2).  26.4 to 27.5 are recorded in the northeast of Vojvodina. Values of index increase to the south. The highest values from 29.8 to 30.9 are recorded in two areas. Larger area is located in the southeastern part of Vojvodina and a smaller one is situated in the southwestern part of the region. This can be correlated with higher annual precipitation caused by orographic influ- ence of the Fruska Gora Mountain and VrSac Mountains.  30.9 are recorded in two areas. Larger area is located in the  According to the previous notion, we can point out that northern part of the Vojvodina region has semi-humid climate, while southern parts have more humid climate influence.

Fig. 3 The spatial distribution of the mean De Martonne aridity index, Ispm, per season from 1949 to 2006 in Vojvodinz Generally, about 75 % of the territory of Vojvodina is characterized by humid climate and the rest of the territory is characterized by the semi-humid climate which is specific for the north and northeastern part of Vojvodina (Fig. 2). 26.4 to 27.5 are recorded in the northeast of Vojvodina. Values of index increase to the south. The highest values from 29.8 to 30.9 are recorded in two areas. Larger area is located in the southeastern part of Vojvodina and a smaller one is situated in the southwestern part of the region. This can be correlated with higher annual precipitation caused by orographic influ- ence of the Fruska Gora Mountain and VrSac Mountains. 30.9 are recorded in two areas. Larger area is located in the According to the previous notion, we can point out that northern part of the Vojvodina region has semi-humid climate, while southern parts have more humid climate influence.

The mean distribution of the monthly De Martonne arid- ity index, Impm, is shown in Fig. 4. As can be seen, five of seven climate types of the De Martonne classification have been identified in Vojvodina. Two months, December and January, are characterized by extremely humid index values; February by very humid climate, while March, April, and May are characterized by semi-humid climate. The greatest diversity of climate types is during June, July, and August because each month has different characteristics. Humid,   The spatial distribution of the seasonal De Martonne aridity index, Isp, is shown for calendar seasons: winter, spring, summer, and autumn in Fig. 3a—d, respectively. During the winter, values of indexes vary from 33.7 to 39.8. As can be seen, most of Vojvodina has very humid conditions, except two small isolated areas in the north and northeastern part with a humid climate. The spring aridity conditions are very similar to those specific to annual values. The summer season is mostly dominated by Medi- terranean climate conditions with values ranging from 20.2 to 24.0. Only a small part in the south of Vojvodina has semi-humid conditions reaching value above 25.0. This season is the driest based on the average values of the indices, compared to the winter, spring, and autumn values.  Finally, autumn season is characterized by the humid and very humid climate conditions, which are equally distribut- ed on the regional scale. The southwestern part of Vojvodina is more humid in contrast to the northeastern part. The values of indices vary from 32.7 to 37.6.

The mean distribution of the monthly De Martonne arid- ity index, Impm, is shown in Fig. 4. As can be seen, five of seven climate types of the De Martonne classification have been identified in Vojvodina. Two months, December and January, are characterized by extremely humid index values; February by very humid climate, while March, April, and May are characterized by semi-humid climate. The greatest diversity of climate types is during June, July, and August because each month has different characteristics. Humid, The spatial distribution of the seasonal De Martonne aridity index, Isp, is shown for calendar seasons: winter, spring, summer, and autumn in Fig. 3a—d, respectively. During the winter, values of indexes vary from 33.7 to 39.8. As can be seen, most of Vojvodina has very humid conditions, except two small isolated areas in the north and northeastern part with a humid climate. The spring aridity conditions are very similar to those specific to annual values. The summer season is mostly dominated by Medi- terranean climate conditions with values ranging from 20.2 to 24.0. Only a small part in the south of Vojvodina has semi-humid conditions reaching value above 25.0. This season is the driest based on the average values of the indices, compared to the winter, spring, and autumn values. Finally, autumn season is characterized by the humid and very humid climate conditions, which are equally distribut- ed on the regional scale. The southwestern part of Vojvodina is more humid in contrast to the northeastern part. The values of indices vary from 32.7 to 37.6.

Fig. 7 The mean annual values of the Pinna combinative index, Jp, and linear trend curve of aridity from 1949 to 2006 in Vojvodinz  The Pinna combinative aridity index, /p, ranged from 14.0 to 20.0 at 9 from 10 meteorological stations, while at one  Finally, more diversified distribution of climate types in Vojvodina is obtained using the De Martonne aridity index than using the Pinna combinative index. Such a conclusion is given

Fig. 7 The mean annual values of the Pinna combinative index, Jp, and linear trend curve of aridity from 1949 to 2006 in Vojvodinz The Pinna combinative aridity index, /p, ranged from 14.0 to 20.0 at 9 from 10 meteorological stations, while at one Finally, more diversified distribution of climate types in Vojvodina is obtained using the De Martonne aridity index than using the Pinna combinative index. Such a conclusion is given

Fig. 6 The mean annual values of the De Martonne aridity index, pm, and linear trend curve of aridity from 1949 to 2006 in Vojvodina

Fig. 6 The mean annual values of the De Martonne aridity index, pm, and linear trend curve of aridity from 1949 to 2006 in Vojvodina

Loading...

Loading Preview

Sorry, preview is currently unavailable. You can download the paper by clicking the button above.

References (51)

  1. Adnan S, Haider S (2012) Classification and assessment of aridity in Pakistan by using different aridity indices ftp://ftp.wmo.int/ D o c u m e n t s / P u b l i c We b / a r e p / We a t h e r _ M o d _ B a l i / ENV%20bruntjes.chalon/ENV.Adnan_Pakistan_paper1.pdf. Accessed 21 November 2012
  2. Alexandersson H (1986) A homogeneity test applied to precipitation data. J Climatol 6:661-675
  3. Arora VK (2002) The use of the aridity index to assess climate change effect on annual runoff. J Hydrol 265(1-4):164-177
  4. Baltas E (2007) Spatial distribution of climatic indices in northern Greece. Meteorol Appl 14:69-78
  5. Baltas E (2010) Surface representation of climatic variables and indices in Greece using GIS methods. Int J Meteorol 35(348):123-136
  6. Baltas E, Mimikou M (2005) Climate change impacts on the water supply of Thessaloniki. Int J Water Resour Dev 21(2):341-353
  7. Burrough PA (1986) Principles of geographical information systems for land resources assessment. Clarendon, Oxford
  8. Collins FC, Bolstad PV (1996) A comparison of spatial interpolation techniques in temperature estimation. Proceedings of the Third International Conference/Workshop on Integrating GIS and Environmental Modeling, Santa Fe, New Mexico, January 21- 25, 1996. Santa Barbara, California: National Center for Geographic Information Analysis (NCGIA)
  9. Cook ER, Woodhouse CA, Mark EC, Meko DM, Stahle DW (2004) Long-term aridity changes in the western United States. Science 306(5698):1015-1018
  10. Coscarelli R, Gaudio R, Caloiero T (2004) Climatic trends: an inves- tigation for a Calabrian basin (southern Italy), the basis of civilization-water science? Proceedings of the UNESCO/IAHS/ 1WHA Symposium, Rome, December 2003. 1 AI1S Publ 286: 255-266
  11. Croitoru АЕ, Piticar А, Imbroane АМ, Burada DC (2012) Spatiotemporal distribution of aridity indices based on tempera- ture and precipitation in the extra-Carpathian regions of Romania. Theor Appl Climatol. doi:10.1007/s00704-012-0755-2 CRU (2003) Global average temperature change 1856-2003. http:// www.cru.uea.ac.uk/cru/data/temperature/. Accessed 6 Mar 2012
  12. De Martonne E (1925) Traité de Géographie Physique, Vol I: Notions generales, climat, hydrographie. Geogr Rev 15(2):336-337
  13. Deniz A, Toros H, Incecik S (2011) Spatial variations of climate indices in Turkey. Int J Climatol 3:394-403
  14. Emberger E (1932) Sur une formule climatique et ses applications en botanique. La Météorologie 423-432
  15. Franke R (1982) Scattered data interpolation: tests of some methods. Math Comput 38:181-200
  16. Franke R, Nielson G (1991) Scattered data interpolation and applica- tions: a tutorial and survey. In: Hagen H, Roller D (eds) Geometric modelling: methods and applications. Springer, Berlin, pp 131-160
  17. Gavrilov MB, Lazić L, Pešić A, Milutinović M, Marković D, Stanković A, Gavrilov MM (2010) Influence of hail suppression on the hail trend in Serbia. Phys Geogr 31(5):441-454
  18. Gavrilov MB, Lazić L, Milutinović M, Gavrilov MM (2011) Influence of hail suppression on the hail trend in Vojvodina, Serbia. Geographica Pannonica 15(2):36-41
  19. Gilbert RO (1987) Statistical methods for environmental pollution monitoring. Van Nostrand Reinhold, New York
  20. Hatte C, Gauthier C, Rousseau DD, Antoine P, Fuchs M, Lagroix F, Marković SB, Moinne O, Sima A (2013) Excursions to C4 vegetation recorded in the Upper Pleistocene loess of Surduk (Northern Serbia): an organic isotope geochemistry study. Clim Past Discuss 9: 187-215
  21. Hrnjak I, Lukić T, Gavrilov MB, Marković SB (2012) Recent aridization trends as a possible link for understanding the mech- anism for the formation of loess deposits in Vojvodina region (N Serbia). Proceedings of the "ED@80: Loess in China and Europe -a Tribute to Edward Derbyshire," Novi Sad, September 2012. Abstract book: 79-80
  22. Hulme M, Barrow EM, Arnell NW, Harrisson PA, Johns TC, Downing TE (1999) Relative impacts of human-induced climate change and natural climate variability. Nature 397:688-691
  23. Hutchinson MF, Gessler PT (1994) Splines-more than just a smooth interpolator. Geodema 62:45-67
  24. IPCC (2007) Climate change 2007: mitigation. Contribution of Working Group III to the fourth assessment report of the Intergovernmental Panel on Climate Change. Cambridge University Press, Cambridge
  25. Johnston K, Ver Hoef JM, Krivoruchko K, Lucas N (2001) Using ArcGIS geostatistical analyst. ESRI, Redlands
  26. Kendall M (1938) A new measure of rank correlation. Biometrika 30:81-89
  27. Kendall MG (1975) Rank correlation methods, 4th edn. Charles Griffin, London
  28. Kenny GJ, Ye W, Flux T, Warrick RA (2001) Climate variations and New Zealand agriculture: the CLIMPACTS system and issues of spatial and temporal scale. Environ Int 27:189-194
  29. Lam NS (1983) Spatial interpolation methods: a review. The American Cartographer 10:129-149
  30. Lukić T, Marković SB, Stevens T, Vasiljević DjA, Machalett B, Milojković N, Basarin B, Obreht I (2009) The loess cave near the village of Surduk-an unusual pseudokarst landform in the loess of Vojvodina, Serbia. Acta Carsologica 38(2-3):227-235
  31. Mann HB (1945) Non-parametric tests against trend. Econometrica 13:245-259
  32. Marković SB, Oches E, Sümegi P, Jovanović M, Gaudenyi T (2006) An introduction to the Upper and Middle Pleistocene loess- paleosol sequences of Ruma section (Vojvodina, Serbia). Quat Int 149:80-86
  33. Marković SB, Oches EA, McCoy WD, Gaudenyi T, Frechen M (2007) Malacological and sedimentological evidence for "warm" climate from the Irig loess sequence (Vojvodina, Serbia). Geophysics, Geochemistry and Geosystems 8, Q09008. doi:10.1029/ 2006GC001565
  34. Marković SB, Bokhorst M, Vandenberghe J, Oches EA, Zöller L, McCoy WD, Gaudenyi T, Jovanović M, Hambach U, Machalett B (2008) Late Pleistocene loess-paleosol sequences in the Vojvodina region, North Serbia. J Quat Sci 23:73-84
  35. Marković SB, Hambach U, Catto N, Jovanović M, Buggle B, Machalett B, Zöller L, Glaser B, Frechen M (2009) The middle and late Pleistocene loess-paleosol sequences at Batajanica, Vojvodina, Serbia. Quat Int 198:255-266
  36. Marković SB, Hambach U, Stevens T, Kukla GJ, Heller F, William D, McCoy WD, Oches EA, Buggle B, Zöller L (2011) The last million years recorded at the Stari Slankamen loess-palaeosol sequence: revised chronostratigraphy and long-term environmen- tal trends. Quat Sci Rev 30:1142-1154
  37. Marković SB, Hambach U, Stevens T, Basarin B, O'Hara-Dhand K, Gavrilov MM, Gavrilov MB, Smalley I, Teofanov N (2012a) Relating the astronomical timescale to the loess-paleosol se- quences in Vojvodina, Northern Serbia. In: Berger A et al (eds) Climate change, part 2. Springer, Vienna, pp 65-78. doi:10.1007/ 987-3-7091-0973-1
  38. Marković SB, Hambach U, Jovanović M, Stevens T, O'Hara-Dhand K, Basarin B, Smalley I, Buggle B, Zech M, Milojković N, Zöller L (2012b) Loess in Vojvodina region (Northern Serbia): the missing link between European and Asian Pleistocene environments. Neth J Geosci 91:173-188
  39. McCullagh MJ (1988) Terrain and surface modelling systems: theory and practice. Photogramm Rec 12:747-779
  40. Palmer W (1965) Meteorological drought. U.S. Department of Commerce Weather Bureau, Washington
  41. Petrović MD, Vasiljević DjA, Vujičić MD, Hose TA, Marković SB, Lukić T (2013) Global geopark and candidate-comparative anal- ysis of Papuk Mountain Geopark (Croatia) and Fruška Gora Mountain (Serbia) by using GAM model. Carpathian J Earth Environ Sci 8(1):105-116
  42. Shahid S (2008) Spatial and temporal characteristics of droughts in the western part of Bangladesh. Hydrol Process 22:2235- 2247
  43. Shahid S (2010) Spatio-temporal variation of aridity and dry period in term of irrigation demand in Bangladesh. Am-Eurasia J Agric Environ Sci 7(4):386-396
  44. Sharp J (2010) Microsoft Visual C# 2010 step by step. Microsoft Press, Redmond, WA
  45. Thornthwaite CW (1948) An approach toward a rational classification of climate. Geogr Rev 38(1):55-94
  46. Vasiljević DjA, Marković SB, Hose TA, Smalley I, O'Hara Dhand K, Basarin B, Lukić T, Vujičić MD (2011) Loess towards (geo) tourism-proposed application on loess in Vojvodina region (north Serbia). Acta Geographica Slovenica 51: 391-406
  47. Vujičić MD, Vasiljević DjA, Marković SB, Hose TA, Lukić T, Hadžić O, Janićević S (2011) Preliminary geosite assessment model (GAM) and its application on Fruška Gora Mountain, potential geotourism destination of Serbia. Acta Geographica Slovenica 51:361-376
  48. Watson DF, Philip GM (1987) Neighbourhood based interpolation. Geobyte 2:12-16
  49. Wu S, Yin Y, Zheng D, Yang Q (2006) Moisture conditions and climate trends in China during the period 1971-2000. Int J Climatol 26:193-206
  50. Zambakas J (1992) General climatology. Department of Geology, National & Kapodistrian University of Athens, Athens Zarghami M, Abdi A, Babaeian I, Hassanzadeh Y, Kanani R (2011) Impacts of climate change on runoffs in East Azerbaijan, Iran. Global Planet Change 78(3-4):137-146
  51. Zhao D, Zheng D, Wu S, Wu Z (2007) Climate changes in northeastern China during last four decades. Chin Geogr Sci 17(4):317-324