Modelling N mineralization from green manure and farmyard manure from a laboratory incubation study

Predicting N mineralization from organic manures like farmyard manure (FYM) is more difficult than from fresh organic materials like crop residues, as the manures vary greatly in composition. A laboratory incubation experiment was carried out for 98 days at 30 °C under aerobic conditions to study the effects on N dynamics of Gliricidia (Gliricidia sepium, Jacquin) and FYM application to soil at 5 and 10 g kg⁻¹. Application of Gliricidia induced N mineralization from the start of incubation period, with the amount of N mineralized increasing with rate of application. In contrast, application of FYM resulted in immobilization of mineral N in soil, irrespective of the rate of application. The initial net immobilization from FYM was limited by availability of N in the soil for the higher rate of application.We used the APSIM SoilN module to simulate these contrasting patterns of mineralization of N from Gliricidia and from FYM. The prediction of N mineralized from Gliricidia was better than FYM. The default model parameters specify that the fresh organic matter pools (FPOOL1, FPOOL2 and FPOOL3) have the same C:N ratio and this assumption was ineffective in predicting N mineralized from FYM. The predictive ability of the model improved when this default assumption was modified based on the size of the individual pools (FPOOL1, FPOOL2 and FPOOL3), and the pool's C:N ratios. The modelling efficiency, a measure of goodness of fit between the simulated and observed data, improved markedly for the modified model. The discrepancy between the modelled and observed data was a tendency for the model to underestimate the rate of re-mineralization at the lower rate of application of FYM in the later part of incubation. Unfortunately the appropriate modification to the size and C:N ratios of the FPOOLs could not be determined on the basis of chemical analysis alone. Thus, a true predictive application of the model to a new FYM material is not yet possible.     

Integrating soil carbon cycling with that of nitrogen and phosphorus in the watershed model SWAT: Theory and model testing

In this paper we describe and test a sub-model that integrates the cycling of carbon (C), nitrogen (N) and phosphorus (P) in the Soil Water Assessment Tool (SWAT) watershed model. The core of the sub-model is a multi-layer, one-pool soil organic carbon (S_C) algorithm, in which the decomposition rate of S_C and input rate to S_C (through decomposition and humification of residues) depend on the current size of S_C. The organic N and P fluxes are coupled to that of C and depend on the available mineral N and P, and the C:N and N:P ratios of the decomposing pools. Tillage explicitly affects the soil organic matter turnover rate through tool-specific coefficients. Unlike most models, the turnover of soil organic matter does not follow first order kinetics. Each soil layer has a specific maximum capacity to accumulate C or C saturation (S_x) that depends on texture and controls the turnover rate. It is shown in an analytical solution that S_x is a parameter with major influence in the model C dynamics. Testing with a 65-yr data set from the dryland wheat growing region in Oregon shows that the model adequately simulates the S_C dynamics in the topsoil (top 0.3 m) for three different treatments. Three key model parameters, the optimal decomposition and humification rates and a factor controlling the effect of soil moisture and temperature on the decomposition rate, showed low uncertainty as determined by generalized likelihood uncertainty estimation. Nonetheless, the parameter set that provided accurate simulations in the topsoil tended to overestimate S_C in the subsoil, suggesting that a mechanism that expresses at depth might not be represented in the current sub-model structure. The explicit integration of C, N, and P fluxes allows for a more cohesive simulation of nutrient cycling in the SWAT model. The sub-model has to be tested in forestland and rangeland in addition to agricultural land, and in diverse soils with extreme properties such high or low pH, an organic horizon, or volcanic soils.     

2008年初特大冰雪灾害对粤北地区杉木（Cunninghamia lanceolata）人工林土壤理化性质的影响

2008年8月,选择具有代表性的样地（受冰雪灾害较轻、受到冰雪灾害影响、受到冰雪灾害后皆伐清理样地）,用野外调查和室内分析相结合的方法,对广东省天井山林场杉木人工林土壤理化性质进行分析。结果表明：（1）粤北地区杉木人工林在受到冰雪灾害后,0-60 cm的土壤容重比未受到损害的上升8.1%-16.4%,孔隙度下降8.9%-11.9%,自然含水量减少17.1%-28.6%,皆伐清理后,土壤容重比未受到损害的下降1.5%~9.5%;孔隙度上升1.2%~5.9%,自然含水量增加44.2%~68.1%。（2）受损后,土壤pH值未发生变化,浅层（0-40 cm）有机质质量分数比未损样地下降（1.3%-9.4%）,深层（〉40 cm）有机质质量分数提高30.5%;各层土壤全氮、全磷、有效氮、有效磷和有效钾质量分数分别下降13.4%、30.3%、16.7%、37.6%和37.2%,全钾质量分数上升21.0%,且与未损样地的差异显著;土壤交换性钙和交换性镁大幅减少,分别为28.1%和43.4%。进行皆伐清理后,有机质质量分数比未损样地提高207.9%,土壤全氮、全钾、有效氮和有效磷质量分数升高138.7%、10.2%、161.3%和540.0%,全磷、有效钾、交换性钙和交换性镁的质量分数下降2.6%、9.0%、28.7%和24.3%,各土层变化不一致。（3）冰雪灾害的发生使杉木人工林林下土壤紧实度增加,不利于土壤呼吸、空气传导和土壤养分的累积;而经过清理后,土壤变得较为疏松,通透性增强,含水量增加,有利于土壤团粒结构的增强、土壤微生物活动和土壤养分的累积及转化。因此,冰雪灾害后对受损林地进行及时的清理对植被恢复重建尤为重要。     

国际生态学研究发展态势文献计量分析

目前,全球的生态环境问题已经引起了各国政府和人民的高度关注,而生态学研究可以为人类与自然生态系统的共存提供理论依据和行动指南。利用Thomson Data Analyzer、NetDraw和Aureka等分析工具,结合Pathfinder算法,对SCIE和SSCI数据库中国际生态学研究相关文献进行统计分析,发现：北美、欧洲、澳大利亚等国及其研究机构在生态学领域的论文影响力较大,论文质量较高;美国是全球生态学研究合作网络的中心,其次是英国和德国;在机构层面上,加州大学戴维斯分校和马普学会是两个比较明显的合作中心;我国在生态学研究领域发文量上具有一定的优势,但论文总体质量仍有待继续提高,目前我国在生态学领域的主要合作国家有美国、英国、加拿大、德国、日本、澳大利亚和法国;2008—2010年国际生态学研究热点主要集中在生物多样性、气候变化、基因变异、物种间相互作用和性选择等研究领域。     

环境卫星CCD与Landsat TM影像质量及生态监测应用比对研究——以青海湖区域为例

针对环境卫星 CCD 影像,结合影像质量评价、专题制图、土地利用/覆被解译以及常用植被指数构建,以青海湖区域为例,与Landsat TM影像进行比对研究。结果表明,在与TM影像质量评价参数比较中,TM影像较优,而环境卫星影像具有很大的改善空间;在对地物判译中,环境卫星影像色彩稍暗淡,但对大多数地物解译判读的边界更清晰;环境卫星覆盖度大,区域制图的优势非常明显;生态监测定量遥感常用的植被指数比较中两种数据大致相同。     

基于分形学的瓦斯爆炸事故时序数据分析模型及应用

针对煤矿瓦斯爆炸灾害子系统的复杂非线性动力学特性,以南方某省1958—2007年的煤矿瓦斯爆炸事故发生数构建时间序列,应用霍斯特时间序列数据的标度行为,提出瓦斯爆炸时间序列的重标极差分析(R/S分析)方法。结果表明:瓦斯爆炸时间序列的霍斯特指数为0.550 2,分形维数为1.449 8,其分式布朗运动轨迹表现出一定的持久性和非高斯性。为诊断瓦斯爆炸事故时间序列变异年份,对时间序列进行分段R/S分析,获得变异年份为1974年,以1974年为分界点构成2个时间序列,霍斯特指数分别为0.589 1和0.697 5,分形维数为1.410 9和1.302 5,与煤矿瓦斯爆炸事故时间序列的持久性趋势一致。煤矿瓦斯爆炸事故时间序列看似无序却蕴藏规律,反映了系统的动力学变化特征,R/S分析方法可以描述煤矿瓦斯爆炸事故时间序列的动力学特征。     

外军皮肤防护器材化学防护性能测试与评价用标准物质研究进展

本文简迷了皮肤防护器材--化学防护服(衣)化学防护性能试验与评价用标准物质的重要性,系统地概述了外军化学防护服(衣)化学防护性能试验与评价用标准物质的研究现状,并提出了我国化学防护服(衣)防护性能试验与评价用标准物质研制过程中应注意的一些问题.     

摩托车防护头盔发展现状和展望分析

当今保护人类健康安全日益受到社会普遍重视,头部安全是摩托车乘员的首要问题。摩托车头盔防护依然十分重要;国际上其标准修定较快并不断完善;通过对TBT通报,头盔安全类发明专利等数据分析,得出摩托车头盔的技术研发高峰近期爆发。     

基于湖泊与出入湖水质关联性研究:以鄱阳湖为例

基于1996～2016年鄱阳湖及出入湖水质数据,解析了鄱阳湖与出入湖河流水质间关联及影响因素.结果表明TN和TP是引起鄱阳湖水质下降的主要因子,其中,1996～2003年,鄱阳湖及出入湖水质总体较好,但呈下降趋势,主要受流域污染负荷增加影响; 2004～2011年,水质继续下降,"五河"水质下降明显,并引起鄱阳湖水质下降;由于鄱阳湖较强的水质净化能力,其出湖水质相对较好,该阶段水质下降受流域污染负荷增加与水文条件变化共同影响; 2012～2016年,水质进一步下降,入湖河流水质快速下降及来水量减少,使鄱阳湖水质净化能力降低,进而导致出湖水质也有所下降,该阶段鄱阳湖水质下降仍受流域污染负荷增加与水文条件变化共同影响.由此可见,入湖河流与鄱阳湖水质关联密切,南部和东部湖区TN浓度明显高于西部湖区,主要与赣江和信江TN负荷输入有关;南部湖区TP浓度明显高于东部和西部湖区,主要与赣江和抚河TP负荷较高有关.相对于水文条件变化,流域污染增加对湖泊水污染贡献更明显.     

基于铁锰泥的除砷颗粒吸附剂制备及其比较

地下水除铁除锰滤池反冲洗铁锰泥具有良好的除砷效果,但因其粉末形态不易固液分离,本文采用高温烘焙法和包埋法以铁锰泥为原料制备颗粒吸附剂,其中包埋法采用烘干和冻干两种干燥方法制粒.结果表明,3种颗粒吸附剂:高温烘焙颗粒吸附剂(GA)、包埋烘干吸附剂(H-GA)和包埋冻干吸附剂(D-GA),表面粗糙,比表面积分别为43. 830、110. 30和129. 18 m~2·g~(-1).吸附实验表明,H-GA和D-GA对砷的吸附远大于GA,GA、H-GA和D-GA最大吸附量分别为5. 05、14. 95和13. 45 mg·g~(-1). Langmuir模型能更好地拟合H-GA和D-GA对砷的吸附,Freundlich模型更好地拟合GA的吸附过程,准一级动力学和准二级动力学模型均能拟合3种吸附剂的动力学数据.酸性环境更有利于砷的吸附.包埋法制备的颗粒吸附剂H-GA和D-GA保留了铁锰泥原始结构,比表面积也远大于GA,因此吸附效果比GA好.两种干燥方式烘干和冻干对吸附没有明显影响.