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Soil Salinity Variations and Associated Implications for Agriculture and Land Resources Development Using Remote Sensing Datasets in Central Asia

文献类型：期刊论文

作者Measho, Simon3,7; Li, Fadong1,7; Pellikka, Petri5,6; Tian, Chao7; Hirwa, Hubert1,7; Xu, Ning1,7; Qiao, Yunfeng1,7; Khasanov, Sayidjakhon1,7; Kulmatov, Rashid2; Chen, Gang4
刊名REMOTE SENSING
出版日期2022-05-01
卷号14期号:10页码:17
关键词salt-affected areas soil electrical conductivity soil salinity trends cropland driving factors Central Asia
DOI10.3390/rs14102501
通讯作者Li, Fadong(lifadong@igsnrr.ac.cn)
英文摘要Global agricultural lands are becoming saline because of human activities that have affected crop production and food security worldwide. In this study, the spatiotemporal variability of soil electrical conductivity (EC) in Central Asia was evaluated based on high-resolution multi-year predicted soil EC data, Moderate Resolution Imaging Spectroradiometer (MODIS) land cover product, precipitation, reference evapotranspiration, population count, and soil moisture datasets. We primarily detected pixel-based soil EC trends over the past three decades and correlated soil EC with potential deriving factors. The results showed an overall increase in salt-affected areas between 1990 and 2018 for different land cover types. The soil EC trend increased by 6.86% (p < 0.05) over Central Asia during 1990-2018. The open shrub lands dominated by woody perennials experienced the highest increasing soil salinity trend, particularly in Uzbekistan and Turkmenistan local areas, while there was a decreasing soil EC trend in the cropland areas, such as in Bukhara and Khorezm (Uzbekistan). The main factors that affect the variability of soil salinity were strongly associated with population pressure and evapotranspiration. This study provides comprehensive soil EC variations and trends from the local to regional scales. Agriculture and land resource managers must tackle the rising land degradation concerns caused by the changing climate in arid lands and utilise geoinformatics.
WOS关键词CLIMATE-CHANGE ; DYNAMICS
资助项目Special Fund of the Chinese Academy of Sciences for Strategic Leading Technology[XDA20040302] ; XPCC Finance Science and Technology Project[2021BC003]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
出版者MDPI
WOS记录号WOS:000803248500001
资助机构Special Fund of the Chinese Academy of Sciences for Strategic Leading Technology ; XPCC Finance Science and Technology Project
源URL[http://ir.igsnrr.ac.cn/handle/311030/178534]  
专题中国科学院地理科学与资源研究所
通讯作者Li, Fadong
作者单位1.Univ Chinese Acad Sci, 19A,Yuquan Rd, Beijing 100049, Peoples R China
2.Natl Univ Uzbekistan, Dept Biol, Tashkent 100170, Uzbekistan
3.Hamelmalo Agr Coll, Natl Commiss Higher Educ, Keren 397, Eritrea
4.FAMU FSU Coll Engn, Dept Civil & Environm Engn, 2525 Pottsdame St, Tallahassee, FL 32310 USA
5.Univ Helsinki, Dept Geosci & Geog, Earth Change Observat Lab, FI-00014 Helsinki, Finland
6.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China
7.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China
推荐引用方式
GB/T 7714		 Measho, Simon,Li, Fadong,Pellikka, Petri,et al. Soil Salinity Variations and Associated Implications for Agriculture and Land Resources Development Using Remote Sensing Datasets in Central Asia[J]. REMOTE SENSING,2022,14(10):17.
APA Measho, Simon.,Li, Fadong.,Pellikka, Petri.,Tian, Chao.,Hirwa, Hubert.,...&Chen, Gang.(2022).Soil Salinity Variations and Associated Implications for Agriculture and Land Resources Development Using Remote Sensing Datasets in Central Asia.REMOTE SENSING,14(10),17.
MLA Measho, Simon,et al."Soil Salinity Variations and Associated Implications for Agriculture and Land Resources Development Using Remote Sensing Datasets in Central Asia".REMOTE SENSING 14.10(2022):17.

入库方式： OAI收割

来源：地理科学与资源研究所

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