区域尺度侵蚀产沙估算方法研究

 区域土壤侵蚀模型是大区域土壤侵蚀普查和水土保持宏观决策的支持工具,土壤侵蚀模型的研发是土壤侵蚀学科的前沿领域。基于DEM将区域划分为规则网格,设计产流、产沙过程的单元模型,包括植被截留、入渗、填洼、流速、携沙能力、径流剥蚀量、泥沙沉积等算法。将月降水当作1次降雨事件,并划分若干时段进行迭代计算,利用GIS空间分析功能完成水沙汇集运算,并在ArcGIS支持下进行计算机程序设计,有效地完成了区域侵蚀产沙量的计算。将模型应用于延河流域得到:1995年7月份平均径流深为35.6mm,径流系数为0.237,流域出口径流量为2.72亿m3,流域出口输沙量为0.38亿t,流域平均侵蚀模数为4575t/(km2.月);输出图形空间格局和结构符合实际情况,初步模拟结果令人较满意。     

利用作物模拟模型辅助决策小麦新品种推广初探

在田间试验和前人研究的基础上，以比较成熟的CERES-WHEAT模型为研究工具，以我国的主要作物小麦为研究材料，探讨了作物模型在区域试验和良种评价方面的潜在应用。目的在于应用作物模型的动态性和预测性功能，通过利用品种已有生理和遗传参数以及各地的气象、土壤资料，对冬小麦不同品种同一地点和同一品种不同地点的生育期、物候期、产量和产量构成因素进行模拟，并与实测值进行比较，最后对品种的生态适应性进行了综合评价。最终在品种产量表现和生态适应性等方面为品种区域试验和良种推广提供决策的依据，试图尝试用一条新的途径，辅助     

CropSyst作物模型在松嫩平原典型黑土区的校正和验证

通过对CropSyst作物模拟模型进行修订和验证，应用该模型对松嫩平原黑土区主要作物的生产潜力进行了模拟，并对作物生产力模拟的有效方法进行了初步探索。模拟结果表明，对于主要作物的经济产量、全生育期蒸散量、收获时的地上生物量，模拟值与实测值较为接近。模拟值和实测值的均方根误差RMSE为3.59%(小麦地上生物量)～8.02%(小麦产量)，模拟性能指数EF最小为0.76(玉米蒸散量)，最大为0.90(小麦产量)。     

土壤有机碳稳定性及其影响因素

土壤有机碳库在全球碳循环中起着重要作用。利用文献资料,阐明土壤有机碳稳定性理论及其影响因素。土壤有机碳稳定性指土壤有机碳在当前条件下抵抗干扰和恢复原有水平的能力。它是由土壤的理化性质所决定的,是自然因素和人为因素共同作用的结果。土壤有机碳的降解包括生物降解作用和物理化学降解作用等,生物降解作用是主要的过程。把土壤有机碳库分成活性碳库、慢性碳库、惰性碳库,能较好地与土壤微生物的生物降解过程相对应。构建土壤有机碳稳定性概念模型,能更系统地理解有机碳在土壤中的稳定机制。     

塑料大棚小气候的模拟和检测

为了研究大棚内外空气热量的物质交换的机理，该文把用在大玻璃温室的让布鲁温室动态模型应用于小塑料大棚。此模型考虑了温室内三层土壤、作物层、空气层、覆盖物和保温幕之间的传导、对流、太阳辐射和热辐射以及潜热交换，在此基础上进行了在不同气候条件下模拟的实测结果的比较分析。其结果表明，模型达到较高精度。     

SOM fractionation methods: Relevance to functional pools and to stabilization mechanisms

Soil organic matter (SOM) consists of various functional pools that are stabilized by specific mechanisms and have certain turnover rates. For the development of mechanistic models that predict changes in SOM storage, these pools have to be quantified and characterized. In the past, numerous fractionation schemes have been developed to separate and analyse such SOM fractions. In this review, the SOM fractions obtained with such operational fractionation procedures are described in terms of their pool sizes, chemical properties, and turnover rates. The main objective of this review is to evaluate these operationally defined fractions with respect to their suitability to describe functional SOM pools that could be used to parameterize SOM turnover models. Fractionation procedures include (1) physical separation of SOM into aggregate, particle size, and density fractions and fractions according to their magnetic susceptibility, and (2) various wet chemical procedures that fractionate SOM according to solubility, hydrolysability, and resistance to oxidation or by destruction of the mineral phase. Furthermore, combinations of fractionation methods are evaluated.The active SOM pool with turnover rates <10 years may best be represented by the soil microbial biomass and the light fraction (<1.6-2 g cm⁻³) obtained by density fractionation (if black carbon contents are considered). Most chemical and physical fractionations as well as combinations of methods yield SOM fractions that are not homogeneous in terms of turnover rates. It has proven to be particularly difficult to isolate functional fractions that represent the passive model pools in which the majority of soil SOM is stabilized. The available fractionation methods do not correspond to specific stabilization mechanisms and hence do not describe functional SOM pools. Another problem is that comprehensive data for turnover rates and data for whole soil profiles are only now becoming available, especially for new fractionation methods. Such information as well as the use of specific markers and compound-specific isotope analysis may be important for future differentiation and evaluation of functional SOM fractions.     

Conservation biology for suites of species: Demographic modeling for Pacific island kingfishers

Conservation practitioners frequently extrapolate data from single-species investigations when managing critically endangered populations. However, few researchers initiate work with the intent of making findings useful to conservation efforts for other species. We presented and explored the concept of conducting conservation-oriented research for suites of geographically separated populations with similar natural histories, resource needs, and extinction threats. An example was provided in the form of an investigation into the population demography of endangered Micronesian kingfishers (Todiramphus cinnamominus). We provided the first demographic parameter estimates for any of the 12 endangered Pacific Todiramphus species, and used results to develop a population projection matrix model for management throughout the insular Pacific. Further, we used the model for elasticity and simulation analyses with demographic values that randomly varied across ranges that might characterize congener populations. Results from elasticity and simulation analyses indicated that changes in breeding adult survival exerted the greatest magnitude of influence on population dynamics. However, changes in nestling survival were more consistently correlated with population dynamics as demographic rates were randomly altered. We concluded that conservation practitioners working with endangered Pacific kingfishers should primarily focus efforts on factors affecting nestling and breeder survival, and secondarily address fledgling juveniles and helpers. Further, we described how the generalized base model might be changed to focus on individual populations and discussed the potential application of multi-species models to other conservation situations.     

系统动力学在水土保持规划中的应用

系统动力学（简称ＳＤ、亦称动态仿真）是现代最新的系统分析方法，即模拟社会经济、生态系统动态行为的计算机仿真技术，是科学决策和预测的有效工具。该根据水土保持规划的特点，论述了动态仿真的基本原理、水土保持规划中的ＳＤ建模方法和水土保持规划ＳＤ软件及其应用。     

灰色-马尔柯夫链预测水稻产量的方法及其应用

将灰色系统预测模型GM(1,1)与马尔柯夫链相结合,建立玉林市早稻产量预测模型。应用结果表明:(1)模型具有灰色微分动态模型的特点,反映了产量变化的灰色过程;(2)应用马尔柯夫链对该模型所产生的误差进行修正,克服了GM模型误差较大等缺点,大大提高了预测精度,(3)灰色系统理论与随机过程理论相结合,互相取长补短,为统计理论发展开创了新的路径,也为产量预测预报提供了新的方法。     

基于自适应小波偏微分方程的蝗虫切片图像去噪

蝗虫显微切片图像在获取的过程中不可避免地会受到噪声污染,其纹理、边缘与噪声又都属于高频分量,单独使用小波变换或偏微分方程(partial differential equation,PDE)扩散的方法都不能在有效去噪的同时保持边缘、纹理等。针对这一问题,提出了基于自适应小波PDE的去噪算法。首先对蝗虫切片含噪图像进行sym5小波软阈值去噪,分解层数根据去噪后图像的PSNR(peak signal to noise ratio)值自适应地选择,阈值门限使用Birge-Massart处罚算法获取。然后在此去噪的基础上进行Perona-Malik(PM)模型去噪,迭代次数根据去噪后图像的PSNR值自适应地选择,梯度阈值根据图像自身的2范数获取。为了验证所提出算法的去噪性能,进行了与常用去噪算法的对比试验。试验结果表明:视觉上,采用本文算法去噪后的图像噪声点较少且边缘、纹理清晰;客观上,采用该文算法去噪后的图像PSNR值比使用维纳滤波高出2 d B左右,比使用中值滤波高出3 d B左右,比使用小波阈值去噪高出2 d B左右,比使用PM模型去噪高出1 d B左右,并且在结构相似性(structural similarity image measurement,SSIM)上采用该文算法去噪后的图像与原始图像的相似度最高。因此,将自适应小波PDE的算法应用于蝗虫切片去噪是可行的、有效的,为其后续处理提供了技术支持。