Publishing House SB RAS:

Publishing House SB RAS:

Address of the Publishing House SB RAS:
Morskoy pr. 2, 630090 Novosibirsk, Russia



Advanced Search

Contemporary Problems of Ecology

2016 year, number 1

Spatial-Typological Heterogeneity and Environmental Organization of the Summer Population of Birds in the Mid region of Northern Eurasia

Yu. S. RAVKIN1, I. N. BOGOMOLOVA1, S. M. TSYBULIN1, T. K. ZHELEZNOVA1, K. V. TOROPOV1, L. G. VARTAPETOV1, S. P. MILOVIDOV2, V. A. YUDKIN1, V. S. ZHUKOV1, S. P. GUREEV2, I. V. POKROVSKAYA1, E. Sh. KASIBEKOV1, A. A. ANANIN1, E. N. BOCHKAREVA1
1Institute of Systematics and Ecology of Animals, SB RAS, 630091, Novosibirsk, Frunze str., 11
2Tomsk State University, 634050, Tomsk, Leninа аve., 36
Keywords: плотность, видовое богатство, орнитофауна, кластерный анализ, классификация, факторы, связь, density, species richness, avifauna, cluster anаlysis, factors, correlation, classification

Abstract

The study area covered the West Siberian plain from the Urals to the Yenisei River, and the same lane further southwards to the borders of the former USSR in 1991, including a part of the Altai-Sayan mountain country, Kazakhstan, Uzbekistan, Turkmenistan, Kyrgyzstan and Tajikistan. On this site we analyzed the results of ornithogeographic surveys carried out on routes with a length of 63 thousand km in 3140 habitats from May 16 to July 31 in the period from 1936 to 2013. More than 100 specialists participated in the study. The collected data were averaged according to the contours of natural-geographical maps. The subsequent cluster analysis revealed the presence of 3 systems (rows) of bird communities of undeveloped and developed land, and water and riparian communities. Within the first system 8 types of communities were determined: 1 - Tundra; 2 - Forest-tundra; 3 - Forest; 4 and 5 - West Siberian: 4 - Meadow-steppe and 5 - Semidesert-steppe; 6 and 7 - Asian: 6 - North-desert-steppe and 7 - South desert; 8 - High-mountain. The borders of their distribution did not coincide with the zonal borders. In the second and third systems 7 and 6 types of communities were allocated respectively. A part of them was divided into 29 subtypes. The heterogeneity of bird communities was determined by 12 environmental factors. The greatest impact was detected for forest cover, building cover and watering cover. The correlation of the bird population variability with all the identified environmental factors amounted to 54 % ± 1 percentage of variance in the similarity matrix. It corresponded with the correlation coefficient of 0.74.