溶质类型与矿化度对半干旱盐渍化地区果园土壤水分有效性的影响

盐渍化土壤水分有效性是制约土地生产能力的关键因素之一。研究不同盐分类型及矿化度的盐溶液对土壤水分有效性的影响, 可为微咸水合理灌溉以及促进土壤生产潜力的发挥提供科学依据。本研究采用离心法在室内研究了脱水过程中灌溉水的溶质类型(NaCl和Na₂SO₄)与矿化度(0、1 g·L^-1、3 g·L^-1、5 g·L^-1、10 g·L^-1)对半干旱盐渍化地区果园土壤水分有效性的影响。结果表明: 不同矿化度的NaCl和Na2SO4处理均可使田间持水量、暂时萎蔫系数、永久萎蔫系数、迟效水和无效水较对照有所降低。不同矿化度的NaCl处理以及1 g·L^-1的Na₂SO₄处理土壤全有效水和速效水都较对照增加, 3 g·L^-1、5 g·L^-1和10 g·L^-1的Na₂SO₄处理土壤全有效水和速效水都较对照减小。不同矿化度的NaCl和Na₂SO₄处理均可使土壤通气孔隙和毛管孔隙相对减少, 非活性孔隙增大, 其中矿化度为5 g·L^-1的NaCl和Na₂SO₄处理对其影响最为明显, 通气孔隙分别较对照减小16.8%和14.8%, 毛管孔隙分别较对照减小5.2%和6.5%, 非活性孔隙分别较对照增加15.7%和14.4%。NaCl对于土壤比水容量和毛管断裂的延迟效果比NaSO₄明显。且土壤溶液盐分含量增加, 土壤持水能力下降、供水性能增加而土壤抗旱性降低。     

Effects of inoculation with stress-adapted arbuscular mycorrhizal fungus Glomus deserticola on growth of Solanum melogena L. and Sorghum sudanese Staph. seedlings under salinity and heavy metal stress conditions

The beneficial effects of a Glomus deserticola strain isolated from the rhizosphere of grasses (belonging to Poaceae family) growing along the industrial waste from a distillery were investigated under stress conditions. The study was conducted to assess the efficacy of the arbuscular mycorrhizal (AM) fungal ecotype in salinity and heavy metal (HM) tolerance of eggplant (Solanum melongena L.) in soils amended with various stress levels of NaCl, zinc and cadmium. Mycorrhizal (M) seedlings produced a significantly (p < 0.05) greater growth response and were more tolerant to salt and HM stresses than nonmycorrhizal (NM) seedlings in all treatments. The HM contents in the plant tissues were significantly higher in M than NM eggplants. Furthermore, when the efficacy was compared with other AM isolates in HM-polluted soils with Sudan grass (Sorghum sudanese Staph.) as a test plant, the AM ecotype responded best to these soils, as evident from the significantly greater growth response and its aggressiveness in colonizing roots in all soil types tested. These results suggest that this G. deserticola ecotype can be used as an effective tool to alleviate the adverse effects of excessive salinity and HM toxicity on plant growth. Finally, the isolate may have potential in the bioremediation of polluted soils.     

SEVERITY OF SALINITY ACCURATELY DETECTED AND CLASSIFIED ON A PADDOCK SCALE WITH HIGH RESOLUTION MULTISPECTRAL SATELLITE IMAGERY

We hypothesised that digital mapping of various forms of salt‐affected soils using high resolution satellite imagery, supported by field studies, would be an efficient method to classify and map salinity, sodicity or both at paddock level, particularly in areas where salt‐affected patches are small and the effort to map these by field‐based soil survey methods alone would be inordinately time consuming. To test this hypothesis, QuickBird satellite data (pan‐sharpened four band multispectral imagery) was used to map various forms of surface‐expressed salinity in an agricultural area of South Australia. Ground‐truthing was performed by collecting 160 soil samples over the study area of 159 km². Unsupervised classification of the imagery covering the study area allowed differentiation of severity levels of salt‐affected soils, but these levels did not match those based on measured electrical conductivity (EC) and sodium adsorption ratio (SAR) of the soil samples, primarily because the expression of salinity was strongly influenced by paddock‐level variations in crop type, growth and prior land management. Segmentation of the whole image into 450 paddocks and unsupervised classification using a paddock‐by‐paddock approach resulted in a more accurate discrimination of salinity and sodicity levels that was correlated with EC and SAR. Image‐based classes discriminating severity levels of salt‐affected soils were significantly related with EC but not with SAR. Of the spectral bands, bands 2 (green, 520–600 nm) and 4 (near‐infrared, 760–900 nm) explained the majority of the variation (99 per cent) in the spectral values. Thus, paddock‐by‐paddock classification of QuickBird imagery has the potential to accurately delineate salinity at farm level, which will allow more informed decisions about sustainable agricultural management of soils. Copyright © 2011 John Wiley & Sons, Ltd.     

沿海滩涂土壤盐分空间分布的三维随机模拟与不确定性评价

为揭示滨海滩涂地区土壤盐分三维空间分布特点并提供相关技术方法与思路,以苏北海涂围垦区典型地块为例,综合采用三维克里格和随机模拟方法对土体盐分含量的三维空间分布进行估值、模拟与对比分析,并对土体盐分三维分布的空间不确定性进行评价。结果显示,由克里格法得到的土壤盐分空间分布具有明显平滑效应,减小了数据间的空间差异并改变了数据的空间结构;序贯高斯模拟结果整体分布相对离散,突出了原始数据分布的波动性;研究区土壤盐分随深度增加而升高,存在一定次生盐渍化风险;围垦后研究区土壤盐渍化的发生概率已有所降低,轻度盐化土和中     

不同位置秸秆覆盖条件下土壤水盐运动实验研究

以地下水与土壤水动力学理论为基础,通过对不同地下水埋深不同位置秸秆覆盖试验资料分析,建立了土壤水分运动数学模型,并进行了数值模拟,试验实测数据与模型计算值吻合较好,说明所建立的模型是可行的。并以此为基础,分析了不同地下水埋深不同位置秸秆覆盖土壤含盐量,得出地表以下30 cm处秸秆覆盖的土壤含盐量大于地表表层秸秆覆盖的土壤含盐量,这为新疆地区控制潜水蒸发改良盐碱地研究提供了可靠的基础依据。     

基于电磁感应的典型干旱区土壤盐分时空变异快速诊断

选取南疆典型干旱区研究其土壤盐分时空变异,在研究区域选取校正点测定表观电导率(ECa),并同时采集土壤样品,研究表明土壤盐分含量与大地表观电导率具有良好相关性(R =0.935),可由此建立土壤盐分电磁感应解译模型.构建移动式磁感调查系统对研究区域进行调查,获取足量表观电导率信息,结合GIS和地统计等相关知识研究土壤盐...     

北疆膜下滴灌棉田生育期土壤水盐的变化特征

针对北疆地区土壤盐化制约农业发展的问题,通过野外实地分层采集土样,分析北疆地区长期膜下滴灌农田种植前后土壤水分和盐分分布特征。统计学分析表明,种植期土壤含水量变异属于中等偏弱变异强度,土壤盐分的变异属于中等偏强变异程度,土壤盐分分布成自上而下先增大再减少的波动趋势。在空间分布上,土壤水分和盐分种植前后存在明显的差异,种植后在浅层土壤水分和盐分的含量成西高东低的变化分布。     

伊犁察南灌区土壤盐分时空变异特征与运移机理研究

以伊犁河谷察南灌区为研究区,运用磁感式电导率快速获取技术及室内分析相结合手段,通过构建盐分解译模型,获取2015年及2016年秋季0~30 cm、30~60 cm、60~100 cm土壤盐分含量。对土壤各土层进行了盐渍化分级统计和半方差函数分析及空间插值分析。对研究区高程信息进行提取,并通过调查河流影响范围对河流进行缓冲区分析。旨在构建适用于研究区及同类型灌区磁感式盐渍土地快速精量诊断评估与利用规划技术体系,了解干旱、半干旱区灌溉农田土盐时空变异特征,并对土盐时空运移机理进行研究。初步研究表明,相比于2015年秋季,2016年秋季研究区非盐化土面积显著减小,中度盐化土面积显著增加,非盐化土、轻度盐化土呈现向中度盐化土演变的趋势;研究区土壤盐分呈现向中部及东部区域运移的趋势,盐化土面积增加,且盐分含量均值增大;另外,在空间大尺度范围上,河流是影响土盐运移的主要影响因素,在局域小尺度范围内,地势是影响土盐运移的主要影响因素。     

盐碱地滴灌春小麦光合特性与耐盐指标研究

通过盆栽试验,在非盐化土、轻度盐化土、中度盐化土、强度盐化土、盐土等5种不同的土壤盐分含量(分别为CK:2.0 g/kg、T1:5.0 g/kg、T2:9.0 g/kg、T3:16.5 g/kg、T4:24.5 g/kg)处理条件下,使用美国产CI-340型手持式光合仪于春小麦拔节期(5月20日)、抽穗期(5月28日)和乳熟期(6月11日)测定了光合有效辐射、气温、大气CO2浓度等环境因子指标,以及净光合速率、蒸腾速率、气孔导度、胞间CO2浓度等光合生理特性指标的变化,根据记录数据计算叶片光合作用的气孔限制值和非气孔限制值,同时观测了春小麦产量和土壤盐分数据,通过线性回归分析计算耐盐指标。结果表明,不同盐分处理下春小麦叶片净光合速率、蒸腾速率、气孔导度、胞间CO2浓度日变化规律相近,光合作用午休现象明显。气孔与非气孔因素同时存在限制春小麦叶片光合作用,净光合速率的下降在低盐分土壤处理下主要由气孔因素引起,而在高盐分土壤处理下主要由非气孔因素引起。春小麦在0~40 cm土层耐盐临界值为6.46 g/kg,耐盐极限值为30.72 g/kg;减产10%的耐盐阈值为9.63 g/kg。初步认为滴灌春小麦适宜种植于非盐化土以及轻度盐化土。     

成水灌溉对土壤盐分分布和物理性质及制种玉米生长的影响

在石羊河流域通过开展咸水灌溉田间试验,研究了不同矿化度(微)咸水灌溉对土壤盐分分布和物理性质及制种玉米生长的影响.田间试验设4个灌溉水矿化度水平:S0、S3、S6、S9,分别表示矿化度为0.71、3、6、9 g/L.结果表明,咸水灌溉条件下,作物收获后与播种前相比较,0～100 cm土壤剖面中S9、S6、S3、S0处理的平均含盐量的变化值分别为0.190、0.157、0.115、-0.010 g/kg.咸水灌溉引起了土壤体积质量、孔隙度和饱和导水率等基本物理性质的改变,随着咸水灌溉次数的增多,土壤体积质量有逐渐增大的趋势,而孔隙度和饱和导水率有逐渐减小的趋势.灌溉水的矿化度越高,其变化幅度也越大.咸水灌溉条件下S9、S6、S3处理制种玉米的株高分别比淡水处理S0低16％、13％、10％,叶面积指数分别比淡水处理S0低24.1％、18.1％、4.1％,产量分别比淡水处理降低32.8％、29.1％、23.2％.