Spatio-temporal changes in subsurface soil salinity based on electromagnetic induction and environmental covariates at the Tarim River Basin, southern Xinjiang, China

IF 8.9 1区 农林科学 Q1 AGRICULTURE, MULTIDISCIPLINARY Computers and Electronics in Agriculture Pub Date : 2025-02-12 DOI:10.1016/j.compag.2025.110108
Fei Wang , Yang Wei , Shengtian Yang
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Abstract

Changes in water and salt content in the root zone directly affect the survival strategies and health status of natural vegetation in arid regions. Since the 1980s, climate change and intensified human activity have resulted in spatial changes in soil salinity in the root zone (SSRZ, 30–100 cm) of the oases in the Tarim Basin. These changes have not been explored adequately. Therefore, this study quantifies the SSRZ based on Landsat OLI, electromagnetic induction (EMI), and auxiliary variables to evaluate the difference between current conditions and the historical record. Environmental covariates derived from the SCORPAN framework were employed for SSRZ modelling using the random forest (RF) algorithm. The results were as follows: (1) The ECa spatial model established based on ECa readings and environmental variables showed that the R2 values of the validation models were between 0.77 and 0.84 at four EMI modes. (2) The ECa maps were then used as environmental variables for RF-SSRZ model construction with 84 % modelling accuracy using a calibration dataset (70 %) and validation dataset (30 %), which indicated that 83 % of the SSRZ spatial variation could be explained by this method. (3) Variable importance calculated by recursive feature elimination (RFE) showed that the contribution of four EMI dipole modes occupied the top four positions in the variable importance ranking. (4) The spatial variability pattern of the ECa maps and the RF-SSRZ map was approximately similar to the ECeHWSD (30–100 cm) affiliated with the Harmonized World Soil Database (HWSD) generated in the 1980 s. (5) The SSRZ change over the past 40 years was calculated based on the ECeHWSD and SSRZ maps with HWSD soil type units, and 43 % of the area showed alleviation. The three desalination levels were 2.88 % for –10 to 0 dS·m−1; 12.49 % for –10 to –28.33 dS·m−1; and 27.58 % for <–28.33 dS·m−1. Within the oasis and on both sides of the Tarim River, a 57.05 % increasing trend was computed between 0 and 2.08 dS·m−1.
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基于电磁感应和环境协变量的塔里木河流域地下土壤盐分时空变化
干旱区根区水盐含量的变化直接影响着天然植被的生存策略和健康状况。20世纪80年代以来,气候变化和人类活动加剧导致塔里木盆地绿洲根区(30 ~ 100 cm)土壤盐分的空间变化。这些变化还没有得到充分的探讨。因此,本研究基于Landsat OLI、电磁感应(EMI)和辅助变量对SSRZ进行量化,以评估当前条件与历史记录之间的差异。采用随机森林(RF)算法,将SCORPAN框架衍生的环境协变量用于SSRZ建模。结果表明:(1)基于ECa读数和环境变量建立的ECa空间模型表明,在4种EMI模式下,验证模型的R2值在0.77 ~ 0.84之间。(2)将ECa地图作为环境变量用于RF-SSRZ模型的构建,其中校准数据集(70%)和验证数据集(30%)的建模精度为84%,表明该方法可以解释83%的SSRZ空间变异。(3)递归特征消去(RFE)计算的变量重要性显示,4种电磁干扰偶极子模式的贡献在变量重要性排名中占据前4位。(4) ECa图和RF-SSRZ图与20世纪80年代世界土壤统一数据库(HWSD)的ECeHWSD图(30 ~ 100 cm)的空间变异格局基本相似。(5)基于ECeHWSD和SSRZ图(HWSD土壤类型单元)计算了近40年的SSRZ变化,43%的面积呈现缓解趋势。-10 ~ 0 dS·m−1海水淡化率为2.88%;-10 ~ -28.33 dS·m−1为12.49%;< -28.33 dS·m−1为27.58%。在绿洲内和塔里木河两岸,在0 ~ 2.08 dS·m−1之间,有57.05%的增长趋势。
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来源期刊
Computers and Electronics in Agriculture
Computers and Electronics in Agriculture 工程技术-计算机:跨学科应用
CiteScore
15.30
自引率
14.50%
发文量
800
审稿时长
62 days
期刊介绍: Computers and Electronics in Agriculture provides international coverage of advancements in computer hardware, software, electronic instrumentation, and control systems applied to agricultural challenges. Encompassing agronomy, horticulture, forestry, aquaculture, and animal farming, the journal publishes original papers, reviews, and applications notes. It explores the use of computers and electronics in plant or animal agricultural production, covering topics like agricultural soils, water, pests, controlled environments, and waste. The scope extends to on-farm post-harvest operations and relevant technologies, including artificial intelligence, sensors, machine vision, robotics, networking, and simulation modeling. Its companion journal, Smart Agricultural Technology, continues the focus on smart applications in production agriculture.
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