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, Simon1,2; Li, Fadong1,3; Pellikka, Petri4,5; Tian, Chao1; Hirwa, Hubert1,3; Xu, Ning1,3; Qiao, Yunfeng1,3; Khasanov, Sayidjakhon1,3; Kulmatov, Rashid6; Chen, Gang7 |
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 |
DOI | 10.3390/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.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Ecosyst Network Observat & Modeling, Beijing 100101, Peoples R China 2.Hamelmalo Agr Coll, Natl Commiss Higher Educ, Keren 397, Eritrea 3.Univ Chinese Acad Sci, 19A,Yuquan Rd, Beijing 100049, Peoples R China 4.Univ Helsinki, Dept Geosci & Geog, Earth Change Observat Lab, FI-00014 Helsinki, Finland 5.Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430079, Peoples R China 6.Natl Univ Uzbekistan, Dept Biol, Tashkent 100170, Uzbekistan 7.FAMU FSU Coll Engn, Dept Civil & Environm Engn, 2525 Pottsdame St, Tallahassee, FL 32310 USA |
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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