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.     

基于重要抽样法的耐压球壳可靠性计算方法研究

目的 解决耐压球壳极小失效概率的可靠性计算问题。方法 在自适应Kriging的基础上,结合重要抽样法提出耐压球壳可靠性计算方法。该方法在较大失效概率下构建的Kriging模型基础上获得重要方向,在重要方向上计算得到较低失效概率下的设计点,以设计点为中心,构建小失效概率的Kriging模型,并通过此模型采用重要抽样法开展可靠性计算。结果 分别使用提出的重要抽样法和蒙特卡洛法计算了2个算例的失效概率,计算结果表明,该方法具有较高的精度和效率。使用该方法对某耐压球壳工作载荷下的失效概率进行了计算,计算得到该球壳失效概率为4.094×10^–96。结论 研究结果可为无失效方程下极低失效概率的可靠性计算问题提供参考。     

基于“三生”适宜性的县域土地利用冲突识别与分析

精准识别潜在土地利用冲突有利于预警权衡和协调冲突用地,有利于科学进行国土空间规划。以“三调”修正数据为基础,基于生产、生活、生态视角,构建高植被覆盖率县域生产、生活、生态即“三生”适宜性评价模型与土地利用冲突识别矩阵,并选取横峰县进行实证分析。结果表明:（1）横峰县“三生”适宜性用地的空间分布与面积构成差异显著,且存在明显的空间叠加特征,暗示着研究区土地利用存在冲突;（2）从潜在冲突识别的结果来看,土地利用适宜区、冲突激烈区、冲突中度区、冲突一般区及冲突微弱区面积占比分别为64.02%、9.66%、17.19%、1.66%、7.48%;（3）各个冲突类型区空间分布、表现形式的差异性决定了冲突和解的对策也需因地制宜。研究结果可为相关及类似县域的国土空间规划提供理论参考。     

腐殖酸与钙离子共存下ZVI界面沉积过程

为精准分析环境介质在零价铁（ZVI）界面沉积过程和沉积层特性,采用喷涂方法制备ZVI负载芯片,应用耗散式石英晶体微天平（QCMD）研究了腐殖酸（HA）与钙离子（Ca（Ⅱ））在ZVI界面沉积吸附过程的差异,并探讨了Ca（Ⅱ）浓度与HA/Ca（Ⅱ）投加顺序对沉积过程的影响机理.结果表明,在反应体系中先通入HA相较先通入Ca（Ⅱ）,ZVI表面形成的沉积层质量更高、沉积层结构更稳定;HA沉积后可促进Ca（Ⅱ）沉积,然而Ca（Ⅱ）先沉积后HA沉积量较少,很大程度上与吸附层外层结构组成差异相关.此外,发现随着Ca（Ⅱ）浓度从10mg/L升高至200mg/L,Ca（Ⅱ）沉积速率加快,界面沉积量增多.QCMD耗散变化研究发现,当Ca（Ⅱ）浓度从10mg/L提高至100mg/L,沉积层耗散变化值（ΔD）逐渐下降,沉积层转变为刚性结构;Ca（Ⅱ）浓度继续加大到200mg/L,ΔD升高趋势,沉积层构象呈现疏松态.应用QCMD可实时监测ZVI钝化层形成的动态变化过程,提供了ZVI界面吸附层变化特征等关键信息.     

臭氧-生物活性炭技术在微污染饮用水处理中的应用

通过研究国内外臭氧—生物活性炭工艺的发展现状和应用实践，指出了该项技术在应用中体现出的优越性，并提出了此项技术在应用中存在的问题，部分地介绍了提高此项技术应用水平的措施。研究表明，臭氧—生物活性炭工艺在处理微污染饮用水将会受到重视和广泛地推广应用，同时也对今后的研究方向提出了相应的观点。     

Distribution-free two-sample comparisons in the case of heterogeneous variances

Behavioral ecologists are often faced with a situation where they need to compare the central tendencies of two samples. The standard tools of the t test and Mann–Whitney U test (equivalent to the Wilcoxon rank-sum test) are unreliable when the variances of the groups are different. The problem is particularly severe when sample sizes are different between groups. The unequal-variance t test (Welch test) may not be suitable for nonnormal data. Here, we propose the use of Brunner and Munzel’s generalized Wilcoxon test followed by randomization to allow for small sample sizes. This tests whether the probability of an individual from one population being bigger than an individual from the other deviates from random expectation. This probability may sometimes be a more clear and informative measure of difference between the groups than a difference in more commonly used measures of central tendency (such as the mean). We provide a recipe for carrying out a statistical test of the null hypothesis that this probability is 50% and demonstrate the effectiveness of this technique for sample sizes typical in behavioral ecology. Although the test is not available in any commercial software package, it is relatively straightforward to implement for anyone with some programming ability. Furthermore, implementations in R and SAS are freely available on the internet.     

Database-driven models of the world's Large Marine Ecosystems

We present a new methodology for database-driven ecosystem model generation and apply the methodology to the world's 66 currently defined Large Marine Ecosystems. The method relies on a large number of spatial and temporal databases, including FishBase, SeaLifeBase, as well as several other databases developed notably as part of the Sea Around Us project. The models are formulated using the freely available Ecopath with Ecosim (EwE) modeling approach and software. We tune the models by fitting to available time series data, but recognize that the models represent only a first-generation of database-driven ecosystem models. We use the models to obtain a first estimate of fish biomass in the world's LMEs. The biggest hurdles at present to further model development and validation are insufficient time series trend information, and data on spatial fishing effort.     

Decadal changes in a NW Mediterranean Sea food web in relation to fishing exploitation

We analysed changes in the ecological roles of species, trophic structure and ecosystem functioning using four standardized mass-balance models of the South Catalan Sea (North-western Mediterranean). Models represented the ecosystem during the late 1970s, mid 1990s, early 2000s, and a simulated no-fishing scenario. The underlying hypothesis was that ecosystem models should quantitatively capture the increasing exploitation in the ecosystem from the 1970s to 2000s, as well as differences between the exploited and non-exploited scenarios. Biomass showed a general decrease, while there was an increase in biomass at lower trophic levels (TL) from the 1970s to 2000s. The efficiency of energy transfer (TE) from lower to higher TLs significantly increased with time. The ecosystem during the 1990s showed higher biomass and flows than during the 1970s and 2000s due to an increase in small pelagic fish biomass (especially sardines). Exploited food webs also showed similarities in terms of general structure and functioning due to high intensity of fishing already in the 1970s. This intensity was highlighted with low trophic levels in the catch, high consumption of production by fisheries, medium to high primary production required to sustain the catches and high losses in secondary production due to fishing. Significant differences on ecosystem structure and functioning were highlighted between the exploited and no-fishing scenarios. Biomass of higher TLs increased under the no-fishing scenario and the mean trophic level of the community and the fish/invertebrate biomass ratios were substantially lower in exploited food webs. The efficiency of energy transfer (TE) from lower to higher TLs was lower under the no-fishing scenario, and it showed a continuous decrease with increasing TL. Marine mammals, large hake, anglerfish and large pelagic fish were identified as keystone species of the ecosystem when there was no fishing, while their ecological importance notably decreased under the exploited periods. On the contrary, the importance of small-sized organisms such as benthic invertebrates and small pelagic fish was higher in exploited food webs.     

Effects of experimental protocol on global vegetation model accuracy: A comparison of simulated and observed vegetation patterns for Asia

Prognostic vegetation models have been widely used to study the interactions between environmental change and biological systems. This study examines the sensitivity of vegetation model simulations to: (i) the selection of input climatologies representing different time periods and their associated atmospheric CO₂ concentrations, (ii) the choice of observed vegetation data for evaluating the model results, and (iii) the methods used to compare simulated and observed vegetation. We use vegetation simulated for Asia by the equilibrium vegetation model BIOME4 as a typical example of vegetation model output. BIOME4 was run using 19 different climatologies and their associated atmospheric CO₂ concentrations. The Kappa statistic, Fuzzy Kappa statistic and a newly developed map-comparison method, the Nomad index, were used to quantify the agreement between the biomes simulated under each scenario and the observed vegetation from three different global land- and tree-cover data sets: the global Potential Natural Vegetation data set (PNV), the Global Land Cover Characteristics data set (GLCC), and the Global Land Cover Facility data set (GLCF). The results indicate that the 30-year mean climatology (and its associated atmospheric CO₂ concentration) for the time period immediately preceding the collection date of the observed vegetation data produce the most accurate vegetation simulations when compared with all three observed vegetation data sets. The study also indicates that the BIOME4-simulated vegetation for Asia more closely matches the PNV data than the other two observed vegetation data sets. Given the same observed data, the accuracy assessments of the BIOME4 simulations made using the Kappa, Fuzzy Kappa and Nomad index map-comparison methods agree well when the compared vegetation types consist of a large number of spatially continuous grid cells. The results of this analysis can assist model users in designing experimental protocols for simulating vegetation.     

西北地区生态建设中退耕还林还草与农牧业经营方式的转变：—以内蒙古自治区准格尔旗为例

本文以内蒙古自治区准格尔旗为例,对当前退耕还林还草制度安排中存在的问题进行了分析,认为,西北地区退耕还林还草必须与改造长期占据主导地位的传统农牧业经营方式结合起来,才有可能取得预期的成效;中央政府除了对退耕还林还草进行直接的经济资助外,应为改造传统农牧业经营方式创造良好的外部环境。