2014
DOI: 10.1007/s10661-014-4128-4
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The influence of natural and human factors in the shrinking of the Ebinur Lake, Xinjiang, China, during the 1972–2013 period

Abstract: The Ebinur Lake is a closed inland lake located within the arid region of the Xinjiang Autonomous Region in the northwestern part of China, near the Kazakhstan border. The shrinkage of the lake area is believed to be caused by ecological environmental deterioration and has become an important restraining factor for the social development of the local population. Of all the lakes in the Xinjiang Autonomous Region, the Ebinur Lake is the most severely impacted water body. The lake has undergone change in size na… Show more

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Cited by 56 publications
(24 citation statements)
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“…The annual average temperature ranges from 6.6 to 7.8°C. Strong winds are typical in this region as well [24]. The main geomorphic types are stone desert, gravel desert, salt desert, swamp, and so on.…”
Section: Study Areamentioning
confidence: 85%
“…The annual average temperature ranges from 6.6 to 7.8°C. Strong winds are typical in this region as well [24]. The main geomorphic types are stone desert, gravel desert, salt desert, swamp, and so on.…”
Section: Study Areamentioning
confidence: 85%
“…The population rate is continuously high and this led to the human disturbance to ELWNNR that caused the increase of farmland. Rising temperatures led to the high evaporation and the balance between evaporation and precipitation is being disturbed and led to the ecological succession in ELWNNR [21]. …”
Section: Land-cover Transition Matrix In the Elwnnrmentioning
confidence: 99%
“…As described the driving factors before, human factors like high population and excessive agricultural reclamation have changed the structure of GLHFNNR. The increased temperatures led to high evaporation, and disturbed the balance between evaporation and precipitation [21,46]. Table 7 (Table 6).…”
Section: Land-cover and Land-use Changes In The Glhfnnrmentioning
confidence: 99%
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“…Stepwise linear multiple regressions models create a "goodness of fit" (R 2 values > 0.50) [55]. EC, HCO 3 − , and SO 4 2− during the dry and rainy seasons are predicted based on the proportions of water body (Table 11).…”
Section: Linkage Between Lulc Patterns and Hydro-chemical Characterismentioning
confidence: 99%