不同空间粒度下地表水体分布格局多样性研究

选取河南省北部、中部和南部典型研究样区,将空间粒度方法引入并应用于地表水体多样性的研究中。在总结前人研究水体多样性测度方法的基础上,提出新的方法——空间分布长度指数(MSHDLI),并在1 km×1 km网格尺度下研究MSHDLI、水网密度(RD)和空间分布面积指数(MSHDAI)的粒度效应、相关性和相关系数的粒度响应、尺度效应关系及回归模型。结果表明:随着粒度的增加,MSHDLI、RD和MSHDAI的粒度响应曲线均为下降型;MSHDLI与RD和MSHDAI有显著的相关关系,平均相关系数r分别为0.997和0.878(P0.01),且MSHDLI与RD、MSHDAI相关系数的粒度效应属于显著正相关关系;MSHDLI与RD的拟合度函数均是对数函数,MSHDLI与MSHDAI的拟合度函数均是多项式函数;由三者的多元线性回归模型可知MSHDLI与RD、MSHDAI线性相关且对它们的解释程度达到95%以上。MSHDLI可以将RD描述水资源广度和MSHDAI描述水资源空间分布离散性的优势结合起来。     

土壤物理学研究的现状、挑战与任务

根据新近土壤物理学研究进展,论述了土壤物理学在土壤学中的定位和在自然科学和社会可持续发展中的地位;从研究的对象、内容、尺度、理论、方法和测定技术方面,阐述了土壤物理学的研究现状;分析了新形势下土壤物理学面临的挑战;提出了我国土壤物理学研究未来10年5个方面的主要任务,即:农业可持续发展中的土壤物理问题,土壤结构形成过程及其稳定性,土壤中能量传输和物质运移过程,土壤性状及过程的时空变异与尺度转化,土壤物理过程与土壤化学、土壤生物过程的耦合。     

谈评等中针叶材活节检量

本文针对GB／T114－1995《原木检验》标准中，有关针叶树材的活节，检量颜色较深，质地较硬部分（似黑眼珠）的尺寸问题，认为颜色较深、质地较硬是构造特征，节子尺寸应含最外圈年轮。检量似黑眼珠不符合国际惯例。     

Impact analysis of climate data aggregation at different spatial scales on simulated net primary productivity for croplands

For spatial crop and agro-systems modelling, there is often a discrepancy between the scale of measured driving data and the target resolution. Spatial data aggregation is often necessary, which can introduce additional uncertainty into the simulation results. Previous studies have shown that climate data aggregation has little effect on simulation of phenological stages, but effects on net primary production (NPP) might still be expected through changing the length of the growing season and the period of grain filling. This study investigates the impact of spatial climate data aggregation on NPP simulation results, applying eleven different models for the same study region (∼34,000 km²), situated in Western Germany. To isolate effects of climate, soil data and management were assumed to be constant over the entire study area and over the entire study period of 29 years. Two crops, winter wheat and silage maize, were tested as monocultures. Compared to the impact of climate data aggregation on yield, the effect on NPP is in a similar range, but is slightly lower, with only small impacts on averages over the entire simulation period and study region. Maximum differences between the five scales in the range of 1–100 km grid cells show changes of 0.4–7.8% and 0.0–4.8% for wheat and maize, respectively, whereas the simulated potential NPP averages of the models show a wide range (1.9–4.2 g C m⁻² d⁻¹ and 2.7–6.1 g C m⁻² d⁻¹ for wheat and maize, respectively). The impact of the spatial aggregation was also tested for shorter time periods, to see if impacts over shorter periods attenuate over longer periods. The results show larger impacts for single years (up to 9.4% for wheat and up to 13.6% for maize). An analysis of extreme weather conditions shows an aggregation effect in vulnerability up to 12.8% and 15.5% between the different resolutions for wheat and maize, respectively. Simulations of NPP averages over larger areas (e.g. regional scale) and longer time periods (several years) are relatively insensitive to climate data aggregation. However, the scale of climate data is more relevant for impacts on annual averages of NPP or if the period is strongly affected or dominated by drought stress. There should be an awareness of the greater uncertainty for the NPP values in these situations if data are not available at high resolution. On the other hand, the results suggest that there is no need to simulate at high resolution for long term regional NPP averages based on the simplified assumptions (soil and management constant in time and space) used in this study.     

土壤饱和水力传导度的空间变异性

土壤性质的空间变异性对于土壤改良和作物高产都是重要的。本文就土壤饱和水力传导度的空间变异性、孔性数值与饱和水力传导度的相关分析和用大孔隙度标定饱和水力传导度的空间变异性进行了研究。研究结果表明土壤饱和水力传导度的半方差图体现了该土性的空间结构;土壤饱和水力传导度主要通过大孔隙度来表征,二者的关系可以用直线函数和幂函数的关系式来表示;可以从大孔隙度的分布导出和表征饱和水力传导度标定因子的频率分布,作为他和水力传导度的空间分布的度量。     

砂壤质褐土水力特性与物理性质的空间尺度效应——消除趋势波动分析法

土壤水力特性与物理性质的空间异质性及其之间的关系在不同尺度上会有不同表现。采用消除趋势波动分析法对土壤水力特性(田间持水量、萎蔫系数和饱和导水率)和物理性质(机械组成、容重和有机碳含量)进行尺度分析。结果表明,只有在一定尺度范围内才能进行土壤水力特性空间变异分析和尺度转换(外推)。过小的尺度范围内不能摆脱空间相关的束缚,尺度太大时不能抓住主要控制因子,因此无法进行尺度外推。所研究砂壤质褐土田间持水量、饱和导水率、容重和有机碳含量可外推尺度范围较大,分别为55~155、50~125、50~125和50~135 m;砂粒、粉粒和黏粒含量的可外推尺度范围较小,为50~85 m,因此在进行空间尺度转换前应先确定其尺度外推范围。     

旋转导向管新型喷动床空气动力学特性研究

为放大常规喷动床,提出了“旋转导向管喷动床”新概念,设计并安装了两种旋转导向管喷动床。以小麦为原料,测定了旋转导向管新型喷动床的空气动力学特性,包括不同导向管在相同导喷距下风速与床层压降关系、导喷距对风速与床层压降关系的影响和旋转导向管喷动床的循环量等性能。研究结果表明：采用旋转导向管后物料可洒布在整个床层截面上,因此可放大喷动床的直径;在喷动发生后,旋转导向管新型喷动床的床层压降与普通导向管喷动床的床层压降差异较小;导喷距影响最大床层压降,采用调节导向管安装高度的方法,可不考虑最大喷动压强,而根据正常喷动时的压降选用风机。     

Linking models for assessing agricultural land use change

The ex-ante assessment of the likely impacts of policy changes and technological innovations on agriculture can provide insight into policy effects on land use and other resources and inform discussion on the desirability of such changes. Integrated assessment and modeling (IAM) is an approach that can be used for ex-ante assessment. It may combine several quantitative models representing different processes and scales into a framework for integrated assessment to allow for multi scale analysis of environmental, economic and social issues. IAM is a challenging task as models from different disciplines have a different representation of data, space and time. The aim of this paper is to describe our strategy to conceptually, semantically and technically integrate a chain of models from different domains to assess land use changes. The models that were linked are based on different modeling techniques (e.g. optimization, simulation, estimation) and operate on different time and spatial scales. The conceptual integration to ensure consistent linkage of simulated processes and scales required modelers representing the different models to clarify the data exchanged and interlinking of modeling methodologies across scales. For semantic integration, ontologies provided a way to rigorously define conceptualizations that can be easily shared between various disciplines. Finally, for technical integration, OpenMI was used and supplemented with the information from ontologies. In our case, explicitly tackling the challenge of semantic, conceptual and technical integration of models forced researchers to clarify the assumptions of their model interfaces, which helped to document the model linkage and to efficiently run models together. The linked models can now easily be used for integrated assessments of policy changes, technological innovations and societal and biophysical changes.     

土壤-植被-大气连续体中的尺度转换问题

土壤-植被-大气间的相互作用强度高度地依赖于时空尺度。其中,反馈机制贯穿于土壤-植被-大气相互作用的始终。在各个时空尺度中,多因子交互作用,尺度不同起主导作用的过程和控制因子可能有所不同,从而增加了土壤-植被-大气连续体尺度转换研究的难度。从空间和时间尺度上总结了近年来有关学者对尺度转换及反馈机制在模拟中如何应用的研究结果,并在该基础上指出了当前合理描述土壤-植被-大气连续体区域尺度系统行为需要关注的问题和挑战。     

Universal rules for fragmentation of land by humans

The morphology of parcel patterns created by humans both in urban and rural areas is investigated. The parcel size distribution function, f(a), provides a criterion, that enables unambiguous classification of each piece of land as city core, suburbs, or rural area. The morphology of the rural area corresponds to a scale-free structure and follows a power-law distribution f(a) ~ a ⁻ⁿ of the parcel areas with the exponent n ≈ 1. In suburbs, the area distribution follows the log-normal distribution. In the city core, f(a) has an unimodal shape with an algebraically decaying tail, n = 2. Our study is based on data originating mainly from North America, the Hawaiian Islands, and Australia. For the regions analyzed, the characteristics of the parcel size distribution are universal and robust with respect to geographical, historical, and economical conditions accompanying development of a given area. The urbanization process can be described in terms of the changes of the morphology of the patterns of land fragmentation. In this formulation, the rural morphology, which can be thought as natural one because it exhibits a scale-free distribution of parcel sizes, is transformed into the artificial morphology developed in the city centers. Electronic supplementary material  The online version of this article (doi:) contains supplementary material, which is available to authorized users.