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1.
采用盆栽试验研究了不同比例有机无机肥配施对连续4茬麦-稻轮作后土壤微生物学特性的影响。结果表明,与对照相比,单施化肥处理促进了土壤微生物生物量碳、氮和微生物熵的增加,提高了土壤蔗糖酶、蛋白酶、脲酶活性,降低了过氧化氢酶活性,提高了放线菌的数量,但对土壤细菌、真菌数量的影响不明显;有机无机肥配施处理的土壤微生物生物量碳、微生物生物量氮、微生物熵、土壤酶活性及3大类土壤微生物数量显著高于单施化肥及对照处理;土壤微生物生物量碳、微生物生物量氮、微生物熵和3大类微生物数量随着有机肥配施比例的提高而增加,以配施30%有机肥处理的最高;土壤酶活性综合指数以配施20%有机肥处理的最高。可见,化肥配施有机肥特别是配施中高量有机肥更有利于改善土壤微生物学特性,提高土壤生产能力。 相似文献
2.
4种农药对枇杷园土壤磷酸酶活性及微生物呼吸的影响 总被引：4，自引：0，他引：4
应用室内培养方法研究了甲基托布津、代森锰锌、杀灭菊酯、阿维菌素4种农药对枇杷园土壤磷酸酶活性及微生物呼吸的影响,并对4种农药进行了安全性评价。结果表明,经杀菌剂甲基托布津和代森锰锌处理的土壤,磷酸酶活性受到明显抑制,且抑制效果未见恢复。经杀灭菊酯和阿维菌素处理的土壤,磷酸酶活性变化呈现"抑制-恢复-激活"趋势;抑制作用随农药浓度的升高而增强;但7d后磷酸酶活性受到了一定程度的激活,35d达到最高值;高浓度杀灭菊酯和低浓度阿维菌素显示出较强的激活作用。农药对土壤微生物呼吸作用的影响初期表现为轻微激活,5d后出现抑制作用,12d后基本恢复正常,接近对照水平。通过安全性评价可知,供试4种农药对土壤微生物的危害较小,为无毒害或无实际危害的农药。 相似文献
3.
重金属Cd、Zn、Cu、Pb复合污染对土壤微生物和酶活性的影响 总被引：20，自引：4，他引：16
通过野外土样采集及室内测定,研究了云南东川铜矿区土壤酶和微生物特征,并采用盆栽试验研究了重金属Cd、Zn、Cu、Pb复合污染对土壤微生物和酶活性的影响。结果表明,距离矿口越近,土壤有机质、有效N、P、K的含量、土壤pH值亦越低,土壤酶活性和土壤微生物数量、微生物生物量C和N受到的抑制程度也增强,其中土壤酶中的酸性磷酸酶和过氧化氢酶,土壤微生物中的细菌对重金属污染较为敏感。盆栽试验中,Cd、Zn、Cu、Pb复合污染使白菜(Brassica rapapekinensis)生物量明显下降,且随复合污染程度的增加,白菜生物量下降幅度增加。Cd与Zn、Cu、Pb,Zn与Cd、Cu、Pb,Cu与Cd、Zn、Pb的复合效应机制为协同效应,而Pb与Cd、Zn、Cu的复合效应机制为拮抗效应。重金属Cu、Zn、Pb、Cd复合污染使土壤酶活性显著降低,但低量的Cd、Zn、Cu、Pb复合污染刺激了细菌、真菌、放线菌、微生物生物量C和N。重金属Cd、Zn、Cu、Pb对土壤酶活性和土壤微生物数量及微生物生物量C和N的复合效应机制表现出协同和拮抗效应。 相似文献
4.
不同种植年限酸化果园土壤微生物学性状的研究 总被引：14，自引：3，他引：11
土壤微生物学指标能够反映土壤质量,是敏感的土壤质量指标。本文以山东果园土壤急剧酸化为背景,研究了山东5个不同种植年限酸化果园(5a～30a)土壤pH值、土壤的微生物数量、土壤微生物量和酶活性的变化,分析果园土壤微生物学性状与土壤pH值的相关性。结果表明:随着种植年限的延长,除真菌、磷酸酶活性只在一定范围内呈现波动趋势外,土壤pH值与微生物数量,土壤微生物量、土壤酶活性呈现不同程度下降。其中酸化果园土壤pH值与微生物量碳、蔗糖酶、过氧化氢酶之间都存在着极显著相关,相关系数分别为0.92、0.97和0.94。土壤微生物数量、土壤微生物生物量、土壤酶活性之间也存在着某种关联,集中体现在土壤酶活性之间及与土壤微生物生物量之间。 相似文献
5.
6.
龙须草生长对重金属污染土壤的影响 总被引：1，自引：1，他引：0
为了探明龙须草种植对重金属污染土壤的影响,利用盆栽培养试验研究某矿业废弃地污染土壤对龙须草生长的影响,分析了龙须草生长90d,180d,270d和360d时土壤营养成分、重金属镉铅含量、微生物生物量和酶活性等的变化,以不种植龙须草为对照。结果表明,随着龙须草的生长,土壤镉铅总量和有效态含量均呈下降趋势,生长1a后土壤镉铅的有效态含量分别下降了28%和15%,但与对照相比无显著差异。土壤营养成分、微生物生物量和酶活性呈上升趋势,且与对照差异显著。与试验前相比,龙须草生长组有机质含量提高了1.5倍,全氮、全磷、全钾、速效磷和速效钾含量分别上升了7.6%,3.1%,10.2%,11.4%和11.2%。土壤微生物生物量碳、氮、磷、土壤转化酶、脲酶、酸性磷酸酶和过氧化氢酶活性分别增加了0.9倍,1.1倍,3.0倍,1.1倍,0.4倍,0.3倍和0.5倍。各指标相关性分析表明,土壤营养成分、微生物生物量和酶活性之间呈正相关,而与重金属含量呈负相关。说明龙须草对重金属污染土壤有一定的修复作用,具有较大的应用潜力。 相似文献
7.
长期石油污水灌溉对东北旱田土壤微生物生物量及土壤酶活性的影响 总被引：2，自引：0，他引：2
以土壤微生物生物量和土壤酶活性等为土壤微生物变化指标,研究了含油污水长期灌溉对东北沈抚灌区农田土壤微生物的影响.结果表明:土壤微生物生物量碳和生物量氮随着污灌有机物污染程度的增加而增加,与土壤石油烃(TPH)含量极显著正相关,相关系数分别为0.955和0.962(P<0.01);与土壤多环芳烃(PAHs)含量也极显著正相关,相关系数为0.941和0.946(P<0.01).土壤酶活性分析表明,土壤脱氢酶和多酚氧化酶与土壤TPH含量极显著正相关,相关系数分别为0.977和0.958(P<0.01);与PAHs含量也极显著正相关,相关系数分别为0.997和0.977(P<0.01).土壤中的脲酶受污水灌溉中含N物质的影响与TPH含量显著相关,相关系数为0.713(P<0.05),与PAHs污染无明显相关性.而纤维素酶与土壤有机物污染无明显相关关系.土壤微生物生物量和土壤脱氢酶、多酚氧化酶可以作为污灌土壤TPH和PAHs污染敏感的生物学和生物化学指标. 相似文献
8.
重金属污染矿区复垦土壤微生物生物量及酶活性的研究 总被引：17，自引：0，他引：17
对铜矿废弃地复垦土壤微生物生物量及酶活性研究结果表明 ,与对照土壤相比 ,矿区复垦土壤微生物生物量C、N和P均有所降低 ,微生物商Cmic Corg可作为矿区重金属污染土壤微生物学敏感指标之一 ;酶活性变化与此相似 ,脲酶、脱氢酶和酸性磷酸酶与对照差异显著 ,其他则与对照差异明显 ,一定程度削弱了矿区土壤中C、N营养元素周转速率和能量循环 相似文献
9.
竹阔混交林土壤微生物生物量及酶活性特征研究 总被引：1，自引：0，他引：1
土壤微生物生物量及土壤酶活性是土壤中重要的活性指标,研究竹阔混交林土壤微生物生物量与酶活性随混交比(混交林中阔叶树冠幅所占比例)的变化特征,对竹阔混交林土壤状况进行评价,为竹阔混交林经营过程中阔叶树冠幅的修剪提供一定理论基础。本文通过对福建省永安市天宝岩自然保护区竹阔混交林的调查,研究混交比(阔叶树冠幅与样地面积比)为0～10%、10%～20%、20%～30%、30%～40%、40%以上的竹阔混交林林分土壤微生物生物量及酶活性的分布特征。结果显示:混交比与土层对土壤微生物生物量氮(SMBN)、酶活性均有显著性影响,混交比对土壤微生物生物量碳(SMBC)的影响不显著。不同混交比下,SMBC、SMBN、土壤酶活性均表现为随土层加深而降低;SMBC含量在30%～40%混交比最高(357.67 mg/kg),SMBN含量在混交比为20%～30%时最高(127.00 mg/kg);混交比为20%～30%的竹阔混交林林分土壤脲酶、蔗糖酶、过氧化氢酶活性较高,土壤脲酶、蔗糖酶、过氧化氢酶在混交比为10%～20%时含量显著低于其他4种混交比;相关性分析表明,土壤脲酶、蔗糖酶、过氧化氢酶与土壤微生物生物量之间均呈正相关,其中土壤过氧化氢酶、脲酶分别与SMBC、SMBN呈显著正相关,土壤蔗糖酶和过氧化氢酶均与SMBN呈极显著相关性;SMBC与pH、全氮呈显著正相关,SMBN与土壤含水率、全氮呈极显著正相关;土壤脲酶、蔗糖酶、过氧化氢酶与土壤有机碳、全氮之间均呈极显著正相关。研究表明:林分中阔叶树混交比、土壤深度等都能对SMBC、SMBN、土壤酶活性产生影响,可见竹阔混交林中混交比对土壤状况有一定的影响,其中综合分析得出混交比20%～30%的林分其土壤微生物生物量与酶活性状况达到最佳。 相似文献
10.
阿特拉津除草剂对土壤微生物生态特征的影响 总被引：18，自引：7，他引：18
采用实验室培养试验研究了阿特拉津除草剂对土壤微生物生态特征的影响。结果表明：阿特拉津除草剂10mg／kg浓度处理释放的CO2与对照无明显差异,根据危害系数法的分级方法,其属于无实际危害级农药;阿特拉津除草剂10mg／kg浓度处理在初始阶段,明显降低土壤微生物生物量碳和微生物生物量氮,随培养时间推移土壤微生物生物量碳和生物量氮有所恢复,随后又有所下降,30d后土壤微生物生物量变化趋于平缓;阿特拉津除草剂对土壤微生物多样性产生一定影响．其影响随培养时间而异。在一定程度上反映出土壤微生物生态特征指标可作为除草剂污染土壤环境质量变异的参考指标。 相似文献
11.
《Communications in Soil Science and Plant Analysis》2012,43(6):367-375
Abstract Soil samples were obtained at 0–3, 3–6, 6–9 and 0–9 inch depths from experimental plots receiving five tillage treatments. Each of two samplers composited approximately six one‐inch cores from each plot. Soil samples were analyzed for acidity, P and K using routine analysis procedures in the University of Illinois Soil Testing Laboratory. Few significant differences were attributed to sampler and it was concluded that samplers using similar sampling techniques were obtaining soil samples from the same population. No significant differences in soil acidity at different depths were observed. The different tillage methods did significantly affect soil P at the 0–3 inch depth, but had no significant effect on soil P at deeper depths. Different tillage methods also significantly affected soil K values at different depths. 相似文献
12.
土壤含水率与土壤碱度对土壤抗剪强度的影响 总被引：11，自引：11，他引：11
土壤含水率和土壤碱度是表征土壤物理化学性质的两个重要参数。通过室内三轴不固结不排水试验，研究了土壤含水率和土壤碱度对土壤抗剪强度的影响。试验处理采用5种土壤碱度(土壤可交换钠百分比ESP=0、5、10、20、40)和4种土壤质量含水率(0.05、0.10、0.20以及饱和含水率0.34)水平。试验结果显示，土壤黏聚力随着土壤含水率的增加基本上呈先增大后减小之趋势；当土壤含水率在0.10附近时黏聚力达到其最大值。土壤内摩擦角随着土壤含水率的增加而线性减小。土壤碱度对土壤黏聚力的影响机理较为复杂，其影响效果随土壤含水率的增加而减小；但土壤碱度对土壤内摩擦角的影响较小。土壤碱度对土壤抗剪强度的影响程度明显地小于土壤含水率对其的影响程度。 相似文献
13.
Microbial activity is affected by changes in the availability of soil moisture. We examined the relationship between microbial activity and water potential in a silt loam soil during four successive drying and rewetting cycles. Microbial activity was inferred from the rate of CO2 accumulating in a sealed flask containing the soil sample and the CO2 respired was measured using gas chromatography. Thermocouple hygrometry was used to monitor the water potential by burying a thermocouple in the soil sample in the flask. Initial treatment by drying on pressure plates brought samples of the test soil to six different water potentials in the range -0.005 to -1.5MPa. Water potential and soil respiration were simultaneously measured while these six soil samples slowly dried by evaporation and were remoistened four times. The results were consistent with a log-linear relationship between water potential and microbial activity as long as activity was not limited by substrate availability. This relationship appeared to hold for the range of water potentials from ?0.01 to ?8.5 MPa. Even at ?0.01 MPa (wet soil) a decrease in water potential from ?0.01 to ?0.02 MPa caused a 10% decrease in microbial activity. Rewetting the soil caused a large and rapid increase in the respiration rate. There was up to a 40-fold increase in microbial activity for a short period when the change in water potential following rewetting was greater than 5 MPa. Differences in microbial activity between the wetter and drier soil treatments following rewetting to the original water potentials are discussed in terms of the availability of energy substrate. 相似文献
14.
《Communications in Soil Science and Plant Analysis》2012,43(7):833-840
Abstract The design, dimensiors and materials for constructing volumetric soil measures for routine soil testing use are presented. Scoop calibration techniques are also described. Reproducibility of results obtained under routine laboratory, conditions are shown. The measures include volumes of 1.0‐, 2.5‐, 5.0‐ and 10‐ cm3 respectively. 相似文献
15.
E. A. Mikhailova C. J. Post M. A. Schlautman J. M. Galbraith H. A. Zurqani 《Communications in Soil Science and Plant Analysis》2018,49(15):1826-1834
Soil textural information is an important component underlying other soil health indicators. Soil texture analysis is a common procedure, but it can be labor intensive and expensive. Soil texture data typically are available from the Soil Survey Geographic (SSURGO) database, which may be an option for determining soil health texture groups (SHTG). The SSURGO database provides soil texture information in the soil map unit (SMU) name, taxonomic class category (family), and detailed values (≤ 2 mm soil fraction) of percent sand, silt and clay by soil horizon. The objective of this study was to examine the possibility of using SSURGO data for SHTG at the 147-ha Cornell University Willsboro Research Farm in New York state as an alternative for soil texture data determined manually on collected soil core samples. Comparative results revealed that representative values for soil texture from the SSURGO database generally matched measured mean values for all SMUs. 相似文献
16.
《Communications in Soil Science and Plant Analysis》2012,43(6):567-571
Abstract The design, materials and dimensions for constructing a coring device for sampling soil fauna and flora at different depths is described. 相似文献
17.
《CATENA》1998,32(1):15-22
Evaluation of various soil erosion models with large data sets have consistently shown that these models tend to over-predict soil erosion for small measured values, and under-predict soil erosion for larger measured values. This trend appears to be consistent regardless of whether the soil erosion value of interest is for individual storms, annual totals, or average annual soil losses, and regardless of whether the model is empirical or physically based. The hypothesis presented herein is that this phenomenon is not necessarily associated with bias in model predictions as a function of treatment, but rather with limitations in representing the random component of the measured data within treatments (i.e., between replicates) with a deterministic model. A simple example is presented, showing how even a `perfect' deterministic soil erosion model exhibits bias relative to small and large measured erosion rates. The concept is further tested and verified on a set of 3007 measured soil erosion data pairs from storms on natural rainfall and run-off plots using the best possible, unbiased, real-world model, i.e., the physical model represented by replicated plots. The results of this study indicate that the commonly observed bias, in erosion prediction models relative to over-prediction of small and under-prediction of large measured erosion rates on individual data points, is normal and expected if the model is accurately predicting erosion rates as a function of environmental conditions, i.e., treatments. 相似文献
18.
The interaction of soil microbes with their physical environment affects their abilities to respire, grow and divide. One of these environmental factors is the amount of moisture in the soil. The work we published almost 25 years ago showed that microbial respiration was linearly related to soil-water content and log-linearly related to water potential. The paper arose out of collaboration between two young researchers from different areas of soil science, physics and microbiology. The project was driven by not only our curiosity but also the freedom to operate without the constraints common to the current system of science management. The citation history shows three peaks, 1989, 1999 and from 2002 to the present day. Interestingly, the annual citation rate is as high as it has ever been. The initial peak is due to the application of the work to studies on microbial processes. The second peak is associated with the rise of simulation modelling and the third with the relevance of the findings to climate change research. In this article, our paper is re-evaluated in the light of subsequent studies that allow the principle of separation of variables to be tested. This re-evaluation lends further credence to the linear relationship proposed between soil respiration and water content. A scaled relationship for respiration and water content is presented. Lastly, further research is suggested and more recent work on the physics of gas transport discussed briefly. 相似文献
19.
Tillage effects on soil degradation, soil resilience, soil quality, and sustainability 总被引：3，自引：0，他引：3
Rattan Lal 《Soil & Tillage Research》1993,27(1-4):1-8
Soil degradation, decrease in soil's actual and potential productivity owing to land misuse, is a major threat to agricultural sustainability and environmental quality. The problem is particularly severe in the tropics and sub-tropics as a result of high demographic pressure, shortage of prime agricultural land, harsh environments, and resource poor farmers who presumably cannot afford science based recommended inputs. Tillage methods and soil surface management affect sustainable use of soil resources through their influence on soil stability, soil resilience, and soil quality. Soil stability refers to the susceptibility of soil to change under natural or anthropogenic perturbations. In comparison, soil resilience refers to soil's ability to restore its life support processes after being stressed. The term soil quality refers to the soil's capacity to perform its three principal functions e.g. economic productivity, environment regulation, and aesthetic and cultural values. There is a need to develop precise objective and quantitative indices of assessing these attributes of the soil. These indices can only be developed from the data obtained from well designed and properly implemented long-term soil management experiments conducted on major soils in principal ecoregions. 相似文献
20.
黑土区土壤侵蚀厚度对土地生产力的影响及其评价 总被引：5，自引：2，他引：3
为了研究黑土区土壤侵蚀厚度对土地生产力的影响,采用盆栽试验,人为剥离黑土表层0、5、10、15、20、25和30 cm土壤以模拟侵蚀厚度不同的耕层土壤,分析土壤侵蚀厚度对土壤理化性质、大豆生物性状和水分利用效率等指标的影响。并对TOPSIS(technique for order preference by similarity to ideal solution)模型进行改进,用于评价侵蚀厚度不同的土壤的土地生产力。结果表明:土壤全N、碱解N、全P、速效P、有机质含量和土壤田间持水率均随侵蚀厚度的增加而递减,土壤容重随侵蚀厚度的增加而递增。土壤侵蚀厚度对大豆生长有显著影响,随着侵蚀厚度的增加,大豆减产率呈"S型"曲线递增,产量、耗水量呈"Z型"曲线递减,水分利用效率呈指数曲线关系递减。改进的TOPSIS模型对不同侵蚀厚度下土地生产力的评价结果较为理想,计算的土地生产力指数随土壤侵蚀厚度的变化呈"Z型"曲线,与大豆产量的变化趋势相同,且二者呈指数函数关系,决定系数达0.996,均方根误差为0.65。研究结果可为黑土区土壤侵蚀防治提供理论依据。 相似文献