生草对南疆温室桃园土壤理化性状的影响

研究生草措施对温室桃园土壤环境和养分的影响,为温室桃栽培优质生产提供理论支持。以温室桃园为研究对象,设置行间种植三叶草和小黑麦为处理,以清耕为对照,测定温室桃园土壤理化性质、体积质量、孔隙度及养分含量的变化。结果表明,温室桃园行间种植三叶草和小黑麦能减缓土壤温度变化幅度,提高土壤含水量,降低土壤水溶性总盐含量,显著增加0～20 cm土层和20～40 cm土层土壤有机质及养分含量,其中种植三叶草的效果好。生草能增加土壤pH,显著降低0～20 cm土壤体积质量,增加土壤总孔隙度。温室桃园生草可以有效调节土壤温度,改善土壤结构和通透性,提高土壤肥力。     

施磷量对柴达木枸杞产量与品质及土壤酶活性的影响

以树龄8 a的‘宁杞7号’为试验材料，通过施用不同量的磷肥（P₂O₅）［0 kg/hm(P₀)、133 kg/hm(P₁₃₃)、267 kg/hm(P₂₆₇)、400 kg/hm(P₄₀₀)、534 kg/hm(P₅₃₄)和667 kg/hm(P₆₆₇)］研究施肥量对枸杞产量与品质及土壤酶活性的影响，以期筛选出柴达木地区枸杞栽培的适宜施磷量。结果表明P₅₃₄处理枸杞的产量最高，为8 320 kg/hm，与P₆₆₇处理无显著差异。P₅₃₄处理枸杞总糖含量较P₀增加42.86%。P₅₃₄处理 0~100 cm土层土壤速效磷平均含量为28.9 mg/kg，较P₆₆₇处理提高5.63%， 0~40 cm土层速效磷平均含量较P₆₆₇处理增加14.26%。随施磷量的增加，土壤速效磷累积量呈先升后降趋势。0~20 cm及20~40 cm土壤磷酸酶活性最高为P₅₃₄处理，较P₆₆₇处理分别显著增加8.11%和11.65%。枸杞产量与0~20 cm土壤磷酸酶活性呈显著正相关，且与枸杞果实磷素累积量呈极显著正相关性。与农民习惯施磷量(667 kg/hm²)相比，P₅₃₄处理(减少20%的磷肥用量)能提高枸杞的产量、总糖、果实磷素累积量及0~40 cm土壤过氧化氢酶和磷酸酶的活性。综合评价，在柴达木地区高磷量枸杞园以施磷肥（P₂O₅）534 kg/hm² 为适宜施磷量。     

The application of proximal visible and near-infrared spectroscopy to estimate soil organic matter on the Triffa Plain of Morocco

Soil organic matter (SOM) is a fundamental soil constituent. The estimation of this parameter in the laboratory using the classical method is complex time-consuming and requires the use of chemical reagents. The objectives of this study were to assess the accuracy of two laboratory measurement setups of the VIS-NIR spectroscopy in estimating SOM content and determine the important spectral bands in the SOM estimation model. A total of 115 soil samples were collected from the non-root zone (0–20 cm) of soil in the study area of the Triffa Plain and then analysed for SOM in the laboratory by the Walkley–Black method. The reflectance spectra of soil samples were measured by two protocols, Contact Probe (CP) and Pistol Grip (PG)) of the ASD spectroradiometer (350–2500 nm) in the laboratory. Partial least squares regression (PLSR) was used to develop the prediction models. The results of coefficient of determination (R²) and the root mean square error (RMSE) showed that the pistol grip offers reasonable accuracy with an R² = 0.93 and RMSE = 0.13 compared to the contact probe protocol with an R² = 0.85 and RMSE = 0.19. The near-Infrared range were more accurate than those in the visible range for predicting SOM using the both setups (CP and PG). The significant wavelengths contributing to the prediction of SOM for (PG) setup were at: 424, 597, 1432, 1484, 1830,1920, 2200, 2357 and 2430 nm, while were at 433, 587, 1380, 1431, 1929, 2200 and 2345 nm for (CP) setup.     

Inhibiting soil loss and runoff from small plots induced by an individual freeze-thaw cycle using three rangeland species

This study investigated the role of three rangeland species viz. Agropyron trichophorum, Medicago sativa, and Lolium prenne on mitigating of effects of a freeze-thaw (FT) cycle on runoff generation and soil loss from small experimental plots. Small plots (0.5 × 0.5m) were prepared in three replicates for control (i.e., under a FT cycle only) and treatments (i.e., individually planted with the study species and subject to a FT cycle). The treated plots were then placed at a slope of 20% and subjected to simulated rainfall with intensity of 70 mm h⁻¹ and 30 min duration. The results of the study showed a significant effect (P < 0.05) of the plants on controlling runoff and soil loss after a FT cycle. Also, the detrimental effects of the FT cycle due to performance of ice lenses and formation of an active melting layer in the soil surface were ameliorated by the presence of litter on the soil and root-binding effect of the plants. Time to runoff increased by 54, 111 and 10%, runoff volume decreased by 27, 68 and 0.4% and soil loss changed by −34, −62, and +6.5% in the plots planted with A. trichophorum, L. prenne and M. sativa, respectively. The results of the current study indicated that L. prenne had the maximum benefit on reducing runoff and soil loss from the plots undergoing a FT cycle.     

Effect of time resolution of rainfall measurements on the erosivity factor in the USLE in China

Rainfall erosivity, one of the factors in the Universal Soil Loss Equation, quantifies the effect of rainfall and runoff on soil erosion. High-resolution data are required to compute rainfall erosivity, but are not widely available in many parts of the world. As the temporal resolution of rainfall measurement decreases, computed rainfall erosivity decreases. The objective of the paper is to derive a series of conversion factors as a function of the time interval to compute rainfall erosivity so that the R factor computed using data at different time intervals could be converted to that computed using 1-min data. Rainfall data at 1-min intervals from 62 stations over China were collected to first compute the ‘true’ R factor values. Underestimation of the R factor was systematically evaluated using data aggregated at 5, 6, 10, 15, 20, 30, and 60-min to develop conversion factors for the R factor and the 1-in-10-year storm EI₃₀ values. Compared with true values, the relative error in R factor using data at fixed intervals of ≤10min was <10% for at least 44 out of 62 stations. Errors increased rapidly when the time interval of the rainfall data exceeded 15 min. Relative errors were >10% using 15-min data for 66.1% of stations and >20% using 30-min data for 61.3% of stations. The conversion factors for the R factor, ranging from 1.051 to 1.871 for 5 to 60-min data, are higher than those for the 1-in-10-years storm EI₃₀, ranging from 1.034 to 1.489 for the 62 stations.     

Study on a soil erosion sampling survey in the Pan-Third Pole region based on higher-resolution images

Soil erosion is one of the most severe global environmental problems, and soil erosion surveys are the scientific basis for planning soil conservation and ecological development. To improve soil erosion sampling survey methods and accurately and rapidly estimate the actual rates of soil erosion, a Pan-Third Pole region was taken as an example to study a methodology of soil erosion sampling survey based on high-spatial-resolution remote sensing images. The sampling units were designed using a stratified variable probability systematic sampling method. The spatiotemporal characteristics of soil erosion and conservation were taken into account, and finer-resolution freely available and accessible images in Google Earth were used. Through the visual interpretation of the free high-resolution remote sensing images, detailed information on land use and soil conservation measures was obtained. Then, combined with the regional soil erosion factor data products, such as rainfall-runoff erosivity factor (R), soil erodibility factor (K), and slope length and steepness factor (LS), the soil loss rates of some sampling units were calculated. The results show that, based on these high-resolution remote sensing images, the land use and soil conservation measures of the sampling units can be quickly and accurately extracted. The interpretation accuracy in 4 typical cross sections was more than 80%, and sampling accuracy, described by histogram similarity in 11 large sampling sites, show that the landuse of sampling uints can represent the structural characteristics of regional land use. Based on the interpretation of data from the sample survey and the regional soil erosion factor data products, the calculation of the soil erosion rate can be completed quickly. The calculation results can reflect the actual conditions of soil erosion better than the potential soil erosion rates calculated by using the coarse-resolution remote sensing method.     

Assessing spatial variability and erosion susceptibility of soils in hilly agricultural areas in Southern Italy

Soil erosion is one of the main environmental problems in the Mediterranean area. This problem is becoming even more important especially in Italy, in the Apennines, where severe erosive processes occur due to the action of concentrated running water. The erodibility (K-Factor) of a soil, estimated using the Revised Universal Soil Loss Equation (RUSLE), is a measure of its susceptibility to erosion and depends on several soil properties such as organic matter, texture and permeability and structure.To assess the spatial variability of soil properties and soil erodibility in hilly agricultural areas and to investigate the relationships between soil features and landscape morphodynamics, a detailed study in Molise region (southern Italy), in a small drainange basin located along its hilly Adriatic flank, was carried out. In this catchment, 63 topsoil samples (A horizons) were collected and 10 soil profiles, forming a catena crossing 3 land units, were sampled. The calculated K-Factors ranges between 0.012 and 0.048 t ha h ha⁻¹ MJ⁻¹ mm⁻¹ indicating a complex spatial distribution, due to the several local pedological and geomorphological factors affecting soil erodibility. The results give clear evidence about the relationships among soil characteristics, soil erodibility and landscape morpho-dynamics (land units).Comparing the soil loss rates estimated for the study area with those reported in literature, a good correspondence can be observed only for the more stable land unit, not characterized by intense erosive processes. The proposed methodology is suitable to highlight areas characterized by similar morphodynamics features, and comparable soil erodibility, for a more effective spatialization of K factor.     

The use of remote sensing to detect the consequences of erosion in gypsiferous soils

Tillage practices on sloping ground often result in unsustainable soil losses impairing soil functions such as crop productivity, water and nutrients storage, and soil organic carbon (SOC) sequestration. A sloping olive grove (10%) was planted in shallow gypsiferous soils in 2004. It was managed by minimum tillage; the most frequent management practice in central Spain. The consequences of erosion were studied in soil samples (at 0–10, 10–20, and 20–30 cm depths) by analyzing SOC, available water and gypsum content, and by detecting spectral signatures using an ASD FieldSpecPro® VIS/NIR-spectroradiometer. The Brightness index (BI), Shape index (FI), and Normalized Difference Vegetation Index (NDVI) were derived from the ASD spectral signatures and from remote sensing (Sentinel-2 image) data. The development of these young olive trees was estimated from the measured diameter of the trunks (17 ± 18 cm diameter). In 20–30 cm of the soil, the carbon stock (38 ± 18 Mg ha⁻¹) as well as the available water content (12 ± 6%) was scarce, affecting the productivity of the olive grove. The above-mentioned indices obtained from the laboratory samples and the pixels of the Sentinel-2 image were significantly (p < 0.01) correlated, with a correlation coefficient of around 0.4. The BI was related to the gypsum content and the slope of the plot. The FI was related to the carbon and water contents. The NDVI derived from the satellite image identified the influence of soil degradation on the trees and the carbon content. The spatial-temporal changes of the indices might help in tracking soil changes over time.     

甘肃民乐栽培当归的品质与土壤相关性分析

本研究通过对民乐县种植的当归药材和种植土壤分别进行采样测定,结果表明民乐县人工种植当归的质量稳定,受重金属污染的风险低,符合药典标准规定。相关性分析结果表明:浸出物与土壤pH值呈极显著正相关,与有机质呈极显著负相关;阿魏酸与土壤pH值呈极显著正相关,与全磷呈显著负相关。挥发油与测定的土壤因子之间无显著相关性。灰色关联度分析结果表明:土壤pH是影响当归浸出物、挥发油的重要因子,土壤有机质是影响当归阿魏酸含量的重要因子;且磷、全氮和有机质对浸出物、挥发油、阿魏酸的影响程度不同。综上所述,本研究结果揭示了土壤因子对民乐县种植当归品质的影响规律,可为民乐县规范化种植当归药材提供理论依据。     

局地尺度高寒草原土壤真菌多样性对地上植物多样性与生产力关系的调控作用

为研究局地尺度高寒草原土壤真菌多样性对地上植物多样性与生产力关系的调控作用，本研究以青海省湟源县局地尺度高寒草原为研究对象，对不同植物多样性梯度的地上生产力、土壤理化性状和土壤真菌多样性等指标进行调查、采样和分析。通过偏回归分析（partial least squares regression，PLSR）、方差分解分析（variance partitioning analysis，VPA）、构建结构方程模型（structural equation model，SEM）等分析手段，分析了土壤真菌多样性对地上植物多样性与生产力关系的调控作用。结果表明，高寒草原植物多样性与地上生产力存在显著线性正相关关系；土壤真菌多样性分别与植物多样性和地上生产力呈显著正相关关系；通过PLSR，VPA，SEM等方法控制土壤非生物因子效应后，真菌多样性与二者的显著正相关关系仍存在。综上所述，局地尺度下青海省湟源县高寒草原土壤真菌多样性是调控地上植物多样性与生产力正向关系的关键生物因子。