Arid
DOI10.3390/su10030656
Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China
Seydehmet, Jumeniyaz1,2,6; Lv, Guang Hui3; Nurmemet, Ilyas1,2; Aishan, Tayierjiang3; Abliz, Abdulla1,2; Sawut, Mamat1,2; Abliz, Abdugheni3; Eziz, Mamattursun4,5
通讯作者Lv, Guang Hui
来源期刊SUSTAINABILITY
ISSN2071-1050
出版年2018
卷号10期号:3
英文摘要

Significant anthropogenic and biophysical changes have caused fluctuations in the soil salinization area of the Keriya Oasis in China. The Driver-Pressure-State-Impact-Response (DPSIR) sustainability framework and Bayesian networks (BNs) were used to integrate information from anthropogenic and natural systems to model the trend of secondary soil salinization. The developed model predicted that light salinization (vegetation coverage of around 15-20%, soil salt 5-10 g/kg) of the ecotone will increase in the near term but decelerate slightly in the future, and that farmland salinization will decrease in the near term. This trend is expected to accelerate in the future. Both trends are attributed to decreased water logging, increased groundwater exploitation, and decreased ratio of evaporation/precipitation. In contrast, severe salinization (vegetation coverage of around 2%, soil salt >= 20 g/kg) of the ecotone will increase in the near term. This trend will accelerate in the future because decreased river flow will reduce the flushing of severely salinized soil crust. Anthropogenic factors have negative impacts and natural causes have positive impacts on light salinization of ecotones. In situations involving severe farmland salinization, anthropogenic factors have persistent negative impacts.


英文关键词arid oasis combination of modern and indigenous knowledge Driver-Pressure-State-Impact-Response sustainability framework bayesian network
类型Article
语种英语
国家Peoples R China
收录类别SCI-E ; SSCI
WOS记录号WOS:000428567100083
WOS关键词TRADITIONAL ECOLOGICAL KNOWLEDGE ; BAYESIAN NETWORKS ; RIVER-BASIN ; SALINITY ; WATER ; FRAMEWORK ; XINJIANG ; IMPACT ; GROUNDWATER ; MANAGEMENT
WOS类目Green & Sustainable Science & Technology ; Environmental Sciences ; Environmental Studies
WOS研究方向Science & Technology - Other Topics ; Environmental Sciences & Ecology
来源机构新疆大学
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/213327
作者单位1.Xinjiang Univ, Minist Educ, Key Lab Oasis Ecol, Shengli Rd 666, Urumqi 830046, Xinjiang, Peoples R China;
2.Xinjiang Univ, Coll Resources & Environm Sci, Shengli Rd 666, Urumqi 830046, Xinjiang, Peoples R China;
3.Xinjiang Univ, Inst Ecol & Environm, Key Lab Oasis Ecol, Shengli Rd 666, Urumqi 830046, Xinjiang, Peoples R China;
4.Xinjiang Normal Univ, Key Lab Lake Environm & Resources Arid Zone, Xinyi Rd 102, Urumqi 830054, Xinjiang, Peoples R China;
5.Xinjiang Normal Univ, Coll Geog Sci & Tourism, Xinyi Rd 102, Urumqi 830054, Xinjiang, Peoples R China;
6.Hotan Reg Environm Protect Bur, Hotan Reg Environm Monitoring Stn, Gujan South Rd 277, Hotan 848000, Xinjiang, Peoples R China
推荐引用方式
GB/T 7714
Seydehmet, Jumeniyaz,Lv, Guang Hui,Nurmemet, Ilyas,et al. Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China[J]. 新疆大学,2018,10(3).
APA Seydehmet, Jumeniyaz.,Lv, Guang Hui.,Nurmemet, Ilyas.,Aishan, Tayierjiang.,Abliz, Abdulla.,...&Eziz, Mamattursun.(2018).Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China.SUSTAINABILITY,10(3).
MLA Seydehmet, Jumeniyaz,et al."Model Prediction of Secondary Soil Salinization in the Keriya Oasis, Northwest China".SUSTAINABILITY 10.3(2018).
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