Simulating soil organic matter with CQESTR (v. 2.0): Model description and validation against long-term experiments across North America

Soil carbon (C) models are important tools for examining complex interactions between climate, crop and soil management practices, and to evaluate the long-term effects of management practices on C-storage potential in soils. CQESTR is a process-based carbon balance model that relates crop residue additions and crop and soil management to soil organic matter (SOM) accretion or loss. This model was developed for national use in U.S and calibrated initially in the Pacific Northwest. Our objectives were: (i) to revise the model, making it more applicable for wider geographic areas including potential international application, by modifying the thermal effect and incorporating soil texture and drainage effects, and (ii) to recalibrate and validate it for an extended range of soil properties and climate conditions. The current version of CQESTR (v. 2.0) is presented with the algorithms necessary to simulate SOM at field scale. Input data for SOM calculation include crop rotation, aboveground and belowground biomass additions, tillage, weather, and the nitrogen content of crop residues and any organic amendments. The model was validated with long-term data from across North America. Regression analysis of 306 pairs of predicted and measured SOM data under diverse climate, soil texture and drainage classes, and agronomic practices at 13 agricultural sites having a range of SOM (7.3–57.9 g SOM kg⁻¹), resulted in a linear relationship with an r² of 0.95 (P < 0.0001) and a 95% confidence interval of 4.3 g SOM kg⁻¹. Using the same data the version 1.0 of CQESTR had an r² of 0.71 with a 95% confidence interval of 5.5 g SOM kg⁻¹. The model can be used as a tool to predict and evaluate SOM changes from various management practices and offers the potential to estimate C accretion required for C credits.     

大气颗粒物“二重源解析”技术的误差分析

"二重源解析"模型计算结果的误差是采样误差、样品处理误差、化学组分分析误差、数据处理误差以及数学模型误差等所有误差的积累。提出了"二重源解析"解析结果的相对误差和标准偏差表达式,并用之计算了某市利用"二重源解析"模型计算的源贡献值的相对误差和标准偏差,还针对从源排放出来的初始态颗粒物在传输过程中发生的扬尘态变化提出了扬尘转化率的概念和计算方法。     

累积影响评价:中国内地与香港的问题与实践探讨

将过去、现在和将来的其它活动包括在建议活动的评价范围 ,是累积影响评价区别于传统EIA的重要特征和关键环节 ,也是EIA进一步发展完善的重要趋势 .从法规要求、文本格式、时空范围、重点内容、减缓措施等方面 ,分析了内地和香港在环评实践过程中对累积影响的考虑状况及存在问题 .建议制定累积影响评价的技术方法导则 ,以法规的形式明确提出在项目、区域及策略环评中增加累积影响评价的内容 ,累积影响应在环评报告的摘要、目录及结论中专门列出 ,对累积影响时空范围的界定及重要性的判断应专门提供支持依据 ,评价的重点应较多地关注生态完整性、社会经济影响及全球性环境影响等 ,以更有效地预防累积环境影响问题 .     

湖泊水质参数空间最优估计精度分析

在湖泊研究中,往往要了解污染的空间分布状况,其核心是空间最优估计问题.本文在阐述了克立格方差特点的基础上,以太湖为例,对湖泊水质参数空间最优估计的精度问题进行了分析.结果显示,估计精度受变差函数、各采样点的空间配置关系等因素的影响.空间结构直接决定着估计精度的大小,而与各信息采样点的值的大小无关.     

The application of generalized linear mixed models to multi-level sampling for insect population monitoring

Iwao's quadratic regression or Taylor's Power Law (TPL) are commonly used to model the variance as a function of the mean for sample counts of insect populations which exhibit spatial aggregation. The modeled variance and distribution of the mean are typically used in pest management programs to decide if the population is above the action threshold in any management unit (MU) (e.g., orchard, forest compartment). For nested or multi-level sampling the usual two-stage modeling procedure first obtains the sample variance for each MU and sampling level using ANOVA and then fits a regression of variance on the mean for each level using either Iwao or TPL variance models. Here this approach is compared to the single-stage procedure of fitting a generalized linear mixed model (GLMM) directly to the count data with both approaches demonstrated using 2-level sampling. GLMMs and additive GLMMs (AGLMMs) with conditional Poisson variance function as well as the extension to the negative binomial are described. Generalization to more than two sampling levels is outlined. Formulae for calculating optimal relative sample sizes (ORSS) and the operating characteristic curve for the control decision are given for each model. The ORSS are independent of the mean in the case of the AGLMMs. The application described is estimation of the variance of the mean number of leaves per shoot occupied by immature stages of a defoliator of eucalypts, the Tasmanian Eucalyptus leaf beetle, based on a sample of trees within plots from each forest compartment. Historical population monitoring data were fitted using the above approaches.     

UNCERTAINTY OF EXTREME FLOOD ESTIMATES INCORPRATING HISTORICAL DATA1

ABSTRACT: The ability to predict extreme floods is an important part of the planning process for any water project for which failure will be very costly. The length of a gage record available for use in estimating extreme flows is generally much shorter than the recurrence interval of the desired flows, resulting in estimates having a high degree of uncertainty. Maximum likelihood estimators of the parameters of the three parameter lognormal (3PLN) distribution, which make use of historical data, are presented. A Monte Carlo study of extreme flows estimated from samples drawn from three hypothetical 3PLN populations showed that inclusion of historical flows with the gage record reduced the bias and variance of extreme flow estimates. Asymptotic theory approximations of parameter variances and covariances calculated using the second and mixed partial derivatives of the log likelihood function agreed well with Monte Carlo results. First order approximations of the standard deviations of the extreme flow estimates did not agree with the Monte Carlo results. An alternative method for calculating those standard deviations, the “asymptotic simulation” method, is described. The standard deviations calculated by asymptotic simulation agree well with the Monte Carlo results.     

向海湿地贴地气层中CO2日平均浓度空间分异特征

研究了向海湿地贴地气层中CO2浓度8月份的日平均值在水平方向及垂直方向上的空间分异特征.结果表明,向海湿地贴地气层CO2日平均浓度在246~266mol/mol之间,低于三江平原湿地贴地气层乃至全球CO2浓度值,4个高度(0.1,0.6,1.2,2m)水平方向纬度分异显著,变异显著区基本一致;垂直分异差异显著,芦苇和香蒲湿地变异最大,岸边坡地变异最小.     

典型高原湖泊流域生态安全格局构建——以杞麓湖流域为例

以“源”和生态环境保护为目标，引用最小累积阻力模型（MCR）对杞麓湖流域生态安全格局进行定量研究.结果表明：杞麓湖流域平均生态安全指数为2.59，生态安全以较低安全为主，占流域总面积的36.33%，中度安全和不安全次之，分别占流域总面积的23.36%和22.53%，高度安全面积最少，仅占17.77%.较低安全区主要分布在西北部、东南部和西南部，应加强对这些地区的生态环境保护建设.此外，以天然林地、重要水库和湖泊缓冲区100m以内区域作为生态源，选取坡度、海拔、植被覆盖度、土地覆盖类型、距水体距离、距建设用地距离、距居民点距离、距道路距离等8个阻力因子，结合MCR模型与GIS的cost-distance分析模块，生成最小累积耗费距离表面，划分5个阻力等级；依据累积阻力值频率变化特点及生态服务功能，确定了生态缓冲区、生态过渡区、生态边缘区、农业耕作区和人类活动区共5个生态功能区.杞麓湖流域生态源总面积为126.87km²，占流域总面积的35.74%，生态源在面积、数量和空间分布上都存在较大的差异，呈四周连片集中，中部分散破碎的分布格局，生态廊道呈四周连续紧凑，中部分散破碎的空间格局.生态节点的空间阻力值存在较大差异，部分生态节点累积阻力比较大，位于流域景观累计阻力值最大区，对生态流的流通安全性具有较大影响.基于最小累积阻力面，结合GIS的Hydrology模块，构建了由生态源与19个生态节点、23条生态廊道共同组成的具有结构性的流域景观生态安全格局，并提出了相应的建议，对高原湖泊流域研究及生态环境保护具有一定的参考价值.     

复合生态系统非线性累积效应响应因子的阈值模型

基于流域系统累积环境效应的产生机理，以系统动力学特征和累积环境效应-反应过程特征曲线为依据，分析了复合生态环境承载力及其适应性，提出并建立了非线性累积效应响应的指标阈值模型及因子响应程度的客观、动态量化方法。模型的建立对系统可持续发展的评估决策具有一定的指导作用。