Temporal and Spatial Dynamics Analysis of Grassland Ecosystem Pressure in Kazakhstan

doi:10.5814/j.issn.1674-764X.2019.06.012

Abstract

Abstract:

Affected by climate change and policy factors, Kazakhstan is the country with the most severe ecological degradation and grassland conflicts in Central Asia. Therefore, studying the state of grassland carrying resources in Kazakhstan is particularly important for understanding the responses of grassland ecosystems to climate change and human activities. Based on Kazakhstan's remote sensing data and animal husbandry statistics, this study analyzes the patterns of changes in grassland ecosystems in Kazakhstan based on the supply and consumption of these ecosystems. The results show that: 1) From 2003 to 2017, the number of livestock raised in Kazakhstan showed a trend of sustained and steady growth. Due to freezing damage, the scale of livestock farming decreased in 2011, but a spatial difference in the livestock farming structure was not obvious. 2) The fluctuation of grassland supply in Kazakhstan has increased, while the consumption due to animal husbandry has also continued to increase, resulting in an increasing pressure on the grassland carrying capacity. 3) Between 2003 and 2017, the overall grassland carrying status of Kazakhstan have been abundant, but the grassland carrying pressure index has shown a steadily increasing trend, the grassland carrying pressure is growing, and it is mainly determined by grassland productivity. The greater pressure in lower Kyzylorda state, the southern Kazakhstan state of the cultivated land and the northern Kazakhstan state has gradually expanded to include the agro-pastoral zone and the semi-desert zone.

Key words: Kazakhstan, grassland ecosystem, ecological consumption, ecological stress, balance between forage and animals, ecological bearing state

WEN Xin, YAN Huimin, XIE Xiaoping, DU Wengpeng, LAI Chenxi, ZHEN Lin. Temporal and Spatial Dynamics Analysis of Grassland Ecosystem Pressure in Kazakhstan[J]. Journal of Resources and Ecology, 2019, 10(6): 667-675.

Figures/Tables 9

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