Knowledge Resource Center for Ecological Environment in Arid Area
DOI | 10.3390/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 |
ISSN | 2071-1050 |
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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