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Geostatistical monitoring of soil salinity for precision management using proximally sensed electromagnetic induction (EMI) method

机译:使用近端感应电磁感应(EMI)方法对土壤盐分进行地统计学监测以进行精确管理

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摘要

Accurate and real-time information on soil salinity is required to understand the evolution of soil salinization, to develop appropriate management strategies, and to implement practices to improve the soil productivity and land development. This is particularly the case for the coastal agroecosystem in which the farmlands were developed from marine alluvial sediments and naturally saline. Our primary objectives were to calibrate soil salinity with proximal sensing electromagnetic induction (i.e., EM38) measurements obtained at different heights above ground, to delineate the spatial pattern of soil salinity and its temporal dynamics, and to determine potential management zones of soil salinity. Intensive EMI survey with EM38 positioned at five heights above ground was made in a coastal salt-affected farmland, and soil samples at 0-1.0 m layer were collected for calibration. This work was repeatedly conducted on January 9, 2012, September 3, 2012, March 31, 2013, and October 16, 2013. EMI measurements were calibrated to root zone soil salinity using multiple linear regression (MLR) and restricted maximum likelihood, and spatial pattern of soil salinity on different dates was generated, and management zones were determined based upon the spatial-temporal variability of soil salinity. Results indicated that EMI measurements obtained at 0, 20, 40, and 60 cm heights above ground were optimal to develop a MLR model identifying the relationship between root zone ECe and ancillary variables. The generated spatial distribution of soil salinity showed that the predominant soil types were moderately saline and very saline soils during the four survey periods. The spatial pattern of soil ECe was closely related to the layout of field drainage ditches, and significant spatial trend was well fitted by a parabolic curve in various periods. A general increasing trend of soil ECe occurred, and a drastic increase in soil salinity was observed from January 9, 2012, to March 31, 2013, and soil ECe across the field exhibited temporal dynamic during the survey periods. Two clearly defined management zones were determined based upon the spatial variability and temporal stability of ECe. Site-specific management and periodical soil salinity monitoring and assessment were recommended in this experimental site. It could be concluded that repeated proximal sensing EMI surveys could be effectively used to characterize the spatial pattern of soil salinity, to monitor the spatial-temporal changes in soil salinity, and to distinguish site-specific zones for precision management of soil salinity.
机译:需要了解土壤盐分的准确,实时信息,以了解土壤盐分的演变,制定适当的管理策略以及实施提高土壤生产力和土地开发的实践。对于沿海农业生态系统而言尤其如此,其中农田由海洋冲积沉积物和天然盐分开发而成。我们的主要目标是通过在地面以上不同高度获得的近端感应电磁感应(EM38)测量值来校准土壤盐分,以描述土壤盐分的空间格局及其时间动态,并确定土壤盐分的潜在管理区。在沿海受盐害的农田中,将EM38放置在离地面5个高度的地方,进行了密集的EMI调查,并收集了0-1.0 m层的土壤样品进行校准。在2012年1月9日,2012年9月3日,2013年3月31日和2013年10月16日重复进行了这项工作。使用多元线性回归(MLR)并限制了最大似然和空间,对根区土壤盐分校准了EMI测量。生成了不同日期的土壤盐分格局,并根据土壤盐分的时空变化确定了管理区。结果表明,在离地面0、20、40和60厘米高度处获得的EMI测量值对于建立MLR模型(确定根区域ECe与辅助变量之间的关系)是最佳的。生成的土壤盐分空间分布表明,在四个调查期内,主要土壤类型为中度盐度和极盐度土壤。土壤ECe的空间格局与田间排水沟的布局密切相关,在不同时期,抛物线曲线都很好地拟合了明显的空间趋势。从2012年1月9日到2013年3月31日,土壤ECe总体呈上升趋势,土壤盐分急剧增加,在调查期内,整个田间土壤ECe表现出时间动态。基于ECe的空间变异性和时间稳定性,确定了两个明确定义的管理区域。在该实验地点建议进行特定地点的管理以及定期的土壤盐分监测和评估。可以得出结论,重复进行的近端感应EMI调查可以有效地表征土壤盐分的空间格局,监测土壤盐分的时空变化,并区分特定地点的区域以精确管理土壤盐分。

著录项

  • 来源
    《Environmental earth sciences》 |2016年第20期|1362.1-1362.18|共18页
  • 作者单位

    Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 East Beijing Rd, Nanjing 210008, Jiangsu, Peoples R China|Chinese Acad Sci, Dongtai Inst Tidal Flat Res, Nanjing Branch, Dongtai 224200, Peoples R China;

    Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 East Beijing Rd, Nanjing 210008, Jiangsu, Peoples R China|Chinese Acad Sci, Dongtai Inst Tidal Flat Res, Nanjing Branch, Dongtai 224200, Peoples R China;

    Chinese Acad Sci, Dongtai Inst Tidal Flat Res, Nanjing Branch, Dongtai 224200, Peoples R China;

    Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 East Beijing Rd, Nanjing 210008, Jiangsu, Peoples R China;

    Univ South Carolina, Dept Geog, 709 Bull St, Columbia, SC 29208 USA;

    Chinese Acad Sci, Inst Soil Sci, State Key Lab Soil & Sustainable Agr, 71 East Beijing Rd, Nanjing 210008, Jiangsu, Peoples R China;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Proximal sensing; Electromagnetic induction; Soil salinity; Digital soil mapping; Precision management;

    机译:近距离感应电磁感应土壤盐分数字土壤测绘精密管理;

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