内蒙古锡林河流域草原植物和群落热值的时空变异研究

第一部分：内蒙古锡林河流域草原植物种群和群落热值的时空变异研究 热值的研究是评价生态系统能量固定、传输和转化的基础，也是评价植物光合作用效率和植物营养值的有用参数。同种植物热值会随着植物部位、光照、养分条件、季节、土壤类型和气候条件的不同而发生变化。不同的种类和类群之间热值也存在差异。本项研究以内蒙古锡林河流域中段草原植物群落为对象，研究了植物种群和群落热值的时空变异规律。 对内蒙古羊草草原群落不同植物种群热值的时问动态研究结果表明，42种植物地上部分的热值在13.16土1.14 kJ.g-l和18.14土0.53 kJ.g-1之间变动，所有物种的平均热值为16.90土0,84 kJ.g-1，种间变异系数4.9%。小叶锦鸡儿(Caraganamicrophylla)具有最高的热值。禾草的平均热值高于杂草。根据生活型和生长型，草本物种被进一步分组，热值从高到低的排列顺序为：高禾草>豆科植物>矮禾草>其余杂草>半灌木>一二年生植物。 主要植物种群地下部分热值的分布范围为15.05-16.41 kJ.g-1。其中根茎型草地下部分热值较高。不同种类植物地下部分热值差异并不与地上部分一致。根茎型禾草地上、地下部分热值差异较小，而须根型植物差异较大。不同种群的植物地上部分热值随植物物候期的不同而波动，其变化规律是与植物种群本身的生物学特性相联系的。不同植物种群热值的年际波动规律有所不同，羊草(Leymuschinensis)、大针茅(Stipa grandis)和洽草(Koeloria cristata)的年际热值波动相关显著，但与生长季降水量和生长季累积日照时数之间无明显相关性。在某种程度上，植物热值的种内变化反映了植物生长状况的差异。 42种植物的热值和它们在群落中的相对生物量存在显著正相关关系。表现为优势种(17.74 kJ.g-1)>伴生种(17.24 kJ．g-l)>偶见种(16.65 kJ.g-1)。高热值的植物更具竞争力，在群落中通常占据优势地位，而低热值的植物竞争力通常较弱，构成草原群落的伴生种或偶见种。 以内蒙古锡林河流域3个草原群落类型（羊草典型草原，大针茅典型草原，羊草草甸草原）的放牧退化梯度系列（包括未退化，轻度退化，中度退化和重度退化4个强度）为研究对象，对主要植物种群和群落热值随草原类型和退化梯度的空间变异规律及热值与其他群落和土壤性质的相关性进行了研究。 结果表明，研究区出现的60个植物种平均热值为17.25土0.92 kJ.g-1，变异系数5.4%．热值大于18.00 kJ.g-1的高能植物包括3种优势高禾草(羊草、大针茅和羽茅(A. sibiricum))和一些有毒植物，热值小于17.00 kJ.g-1的低能值植物包括多数一年生杂草;热值在17.00-18.00 kJ.g-1之间的中能值植物包括大多数多年生杂草和矮禾草。 按照生活型分类，灌木的热值最高，多年生禾草显著高于一二年生植物，半灌木和多年生杂草介于二者之间。按照水分生态类型分类，旱生植物、中旱生、旱中生和中生植物之间在热值上没有明显差异。不同科之间热值存在显著差异，禾本科、豆科、菊科植物热值较高，藜科植物平均热值最低。 二因素方差分析结果表明，主要优势物种热值在不同草原类型之间存在显著差异，表现为羊草草甸草原>羊草典型草原>大针茅典型草原。对于大多数优势禾草，热值没有随退化梯度发生明显变化，洽草(K. cristata)、冰草(A．ctistatum)和所有优势杂草随退化程度的增强热值趋于下降。对于大多数优势物种，热值随不同草原类型的空间变异大于放牧退化所导致的空间变异。 不同草原类型的群落热值为羊草草甸草原>羊草典型草原>大针茅典型草原，群落平均热值表现出随退化强度的增加而下降的趋势，这主要归因于沿退化梯度不同物种构成比例的变化，即随退化程度的加剧，高能值植物在群落中的比例下降。其次是特定物种热值随退化梯度的变化。在同一草原区，放牧对群落热值的影响大于立地条件之间的差异。 群落和主要物种热值均表现出与某些群落特征和土壤性质的相关性。 关键词：内蒙古，锡林河流域，羊草草原;物种和群落热值，时空变异，退化梯度，草原类型，土壤性质 第二部分内蒙古羊草草原17年刈割演替过程中功能群组成动态及其对群落净初级生产力稳定性的影响 基于17年的野外实验数据，研究了内蒙古羊草草原群落刈割演替过程中的功能群组成动态，探索功能群组成变化与群落净初级生产力(ANPP)之间的关系，分析结构参数怎样影响功能参数。结果显示：在17年的割草演替过程中，群落的结构与功能均发生了变化。随着羊草群落刈割演替的进行，群落的功能群组成发生了显著变化，根茎禾草在群落中的优势地位相继被一二年生植物，高丛生禾草，矮丛生禾草所取代。到17年末，群落变成根茎禾草，矮丛生禾草，高丛生禾草共同建群的群落。在对照群落中ANPP与年降水量显著相关，但在刈割群落中二者则不相关。年降水量解释对照群落ANPP变异的62%，而连年的刈割干扰则是刈割群落中ANPP动态的主要驱动因子。群落净初级生产则显出对刈割干扰的抵抗能力，在刈割干扰的前几年，依靠群落内功能群组成的不断调节，保持相对稳定的水平，当刈割进行5年之后，群落结构的变化积累到一定程度，净初级生产迅速下降到一个较低的水平，此后依靠群落结构的不断调节来维持这一功能水平。因此，群落结构是以渐变的方式改变的，而群落功能的下降则是以跃变的形式完成的。群落依赖于结构的不断调整来保持功能的相对稳定，但结构变化到一定程度也会导致功能的衰退。 关键词：内蒙古，羊草草原;刈割演替;功能群组成;净初级生产;群落;稳定性

Spatial and temporal relationships between precipitation and ANPP of four types of grasslands in northern China

Precipitation is considered to be the primary resource limiting terrestrial biological activity in water-limited regions. Its overriding effect on the production of grassland is complex. In this paper, field data of 48 sites (including temperate meadow steppe,temperate steppe, temperate desert steppe and alpine meadow) were gathered from 31 published papers and monographs to analyze the relationship between above-ground net primary productivity (ANPP) and precipitation by the method of regression analysis. The results indicated that there was a great difference between spatial pattern and temporal pattern by which precipitation influenced grassland ANPP. Mean annual precipitation (MAP) was the main factor determining spatial distribution of grassland ANPP (r~2 = 0.61,P ＜ 0.01); while temporally, no significant relationship was found between the variance of AN PP and inter-annual precipitation for the four types of grassland. However, after dividing annual precipitation into monthly value and taking time lag effect into account, the study found significant relationships between ANPP and precipitation. For the temperate meadow steppe, the key variable determining inter-annual change of ANPP was last August-May precipitation (r~2= 0.47, P = 0.01); for the temperate steppe, the key variable was July precipitation (r~2 = 0.36, P = 0.02); for the temperate desert steppe, the key variable was April-June precipitation (r~2 = 0.51, P ＜0.01); for the alpine meadow, the key variable was last September-May precipitation (r~2 = 0.29, P ＜ 0.05). In comparison with analogous research, the study demonstrated that the key factor determining inter-annual changes of grassland ANPP was the cumulative precipitation in certain periods of that year or the previous year.

Suitability of extractants for predicting available sulfur in natural grassland in the Inner Mongolia steppe of China

It was the objective of this study to compare the suitability of different extractants for predicting the availability of sulfur (S) in natural grassland in a sulfur response trial on three different soil types in the Inner Mongolia steppe of China. For soil analysis, seven different extractants have been employed. The inorganic SO4-S concentration was determined by ion chromatography. Additionally, in the Ca(H-2-PO4)(2) extract the total soluble S was determined employing turbidimetry. Weak salt solutions (0.15% CaCl2, Ca(H2PO4)(2), and KH2PO4) extracted similar amounts Of SO4-S. Extraction with 0.025 M KCl provided the lowest SO4-S values. Deionized water dissolved significantly more SO4-S in the control plots than most weak salt extractants. The concentration of soluble organic S decreased in the control plots after 100 days of plant growth, indicating that the organic S pool contributed significantly to the S nutrition of the forage crops. Significant relationships among the SO4-S in the soil determined in different extracts and crop yield, sulfur content in the forage, and total sulfur uptake were only found for the Ca(H2PO4)(2) extract. In general, the correlation coefficients proved to be unsatisfactory for field experimentation.

Mapping the Pasture Steppe in Bayankhongor, Mongolia: comparison of classification methods, using Landsat-8 and geophysical data

Grasslands in semi-arid regions, like Mongolian steppes, are facing desertification and degradation processes, due to climate change. Mongolia’s main economic activity consists on an extensive livestock production and, therefore, it is a concerning matter for the decision makers. Remote sensing and Geographic Information Systems provide the tools for advanced ecosystem management and have been widely used for monitoring and management of pasture resources. This study investigates which is the higher thematic detail that is possible to achieve through remote sensing, to map the steppe vegetation, using medium resolution earth observation imagery in three districts (soums) of Mongolia: Dzag, Buutsagaan and Khureemaral. After considering different thematic levels of detail for classifying the steppe vegetation, the existent pasture types within the steppe were chosen to be mapped. In order to investigate which combination of data sets yields the best results and which classification algorithm is more suitable for incorporating these data sets, a comparison between different classification methods were tested for the study area. Sixteen classifications were performed using different combinations of estimators, Landsat-8 (spectral bands and Landsat-8 NDVI-derived) and geophysical data (elevation, mean annual precipitation and mean annual temperature) using two classification algorithms, maximum likelihood and decision tree. Results showed that the best performing model was the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), using the decision tree. For maximum likelihood, the model that incorporated Landsat-8 bands with mean annual precipitation (Model 5) and the one that incorporated Landsat-8 bands with mean annual precipitation and mean annual temperature (Model 13), achieved the higher accuracies for this algorithm. The decision tree models consistently outperformed the maximum likelihood ones.

Factors affecting distribution of vegetation types on abandoned cropland in the hilly-gullied Loess Plateau region of China

A study was conducted in the forest-steppe region of the Loess Plateau to provide insight into the factors affecting the process of vegetation establishment, and to provide recommendations for the selection of indigenous species in order to speed up the succession process and to allow the establishment of vegetation more resistant to soil erosion. Four distinctive vegetation types were identified, and their distribution was affected not only by the time since abandonment but also by other environmental factors, mainly soil water and total P in the upper soil layers. One of the vegetation types, dominated by Artemisia scoparia, formed the early successional stage after abandonment while the other three types formed later successional stages with their distribution determined by the soil water content and total P. It can be concluded that the selection of appropriate species for introduction to accelerate succession should be determined by the local conditions and especially the total P concentration and soil water content.

Determination of particle concentration in the breathing zone for four different types of office ventilation systems

Many factors affect the airflow patterns, thermal comfort, contaminant removal efficiency and indoor air quality at individual workstations in office buildings. In this study, four ventilation systems were used in a test chamber designed to represent an area of a typical office building floor and reproduce the real characteristics of a modern office space. Measurements of particle concentration and thermal parameters (temperature and velocity) were carried out for each of the following types of ventilation systems: a) conventional air distribution system with ceiling supply and return; b) conventional air distribution system with ceiling supply and return near the floor; c) underfloor air distribution system; and d) split system. The measurements aimed to analyse the particle removal efficiency in the breathing zone and the impact of particle concentration on an individual at the workstation. The efficiency of the ventilation system was analysed by measuring particle size and concentration, ventilation effectiveness and the Indoor/Outdoor ratio. Each ventilation system showed different airflow patterns and the efficiency of each ventilation system in the removal of the particles in the breathing zone showed no correlation with particle size and the various methods of analyses used.

Defining friendworks : communication perspective on social networks types

This paper introduces friendwork as a new term in social networks studies. A friendwork is a network of friends. It is a specific case of an interpersonal social network. Naming this seemingly well known and familiar group of people as a friendwork facilitates its differentiation from the overall social network, while highlighting this subgroup's specific attributes and dynamics. The focus on one segment within social networks stimulates a wider discussion regarding the different subgroups within social networks. Other subgroups also discussed in this paper are: family dependent, work related, location based and virtual acquaintances networks. This discussion informs a larger study of social media, specifically addressing interactive communication modes that are in use within friendworks: direct (face-to-face) and mediated (mainly fixed telephone, internet and mobile phone). It explores the role of social media within friendworks while providing a communication perspective on social networks.

The understanding of avatar design : various types and styles of avatars and the design considerations

People have adopted various formats of media such as graphics, photo and text (nickname) in order to represent themselves when communicate with others online. Avatar is known as a visual form representing a user oneself and one's identity wished. Its form can vary from a two-dimensional model to a three-dimensional model, and can be visualised with various visual forms and styles. In general, two-dimensional images including an animated image are used in online forum communities and live chat software; while three-dimensional models are often used in computer games. Avatar design is often regarded as a graphic designer's visual image creation or a user's output based on one's personal preference, yet it often causes the avatar design having no consideration of its practical visual design and users' interactive communication experience aspects. This paper will review various types and styles of avatar and discuss about avatar design from visual design and online user experience perspectives. It aims to raise a design discourse in avatar design and build up a well-articulated set of design principles for effective avatar design.

Some applications of logic to feasibility in higher types

While it is commonly accepted that computability on a Turing machine in polynomial time represents a correct formalization of the notion of a feasibly computable function, there is no similar agreement on how to extend this notion on functionals, that is, what functionals should be considered feasible. One possible paradigm was introduced by Mehlhorn, who extended Cobham's definition of feasible functions to type 2 functionals. Subsequently, this class of functionals (with inessential changes of the definition) was studied by Townsend who calls this class POLY, and by Kapron and Cook who call the same class basic feasible functionals. Kapron and Cook gave an oracle Turing machine model characterisation of this class. In this article, we demonstrate that the class of basic feasible functionals has recursion theoretic properties which naturally generalise the corresponding properties of the class of feasible functions, thus giving further evidence that the notion of feasibility of functionals mentioned above is correctly chosen. We also improve the Kapron and Cook result on machine representation.Our proofs are based on essential applications of logic. We introduce a weak fragment of second order arithmetic with second order variables ranging over functions from NN which suitably characterises basic feasible functionals, and show that it is a useful tool for investigating the properties of basic feasible functionals. In particular, we provide an example how one can extract feasible programs from mathematical proofs that use nonfeasible functions.

Modeling crash types: New insights into the effects of covariates on crashes at rural intersections

Many studies focused on the development of crash prediction models have resulted in aggregate crash prediction models to quantify the safety effects of geometric, traffic, and environmental factors on the expected number of total, fatal, injury, and/or property damage crashes at specific locations. Crash prediction models focused on predicting different crash types, however, have rarely been developed. Crash type models are useful for at least three reasons. The first is motivated by the need to identify sites that are high risk with respect to specific crash types but that may not be revealed through crash totals. Second, countermeasures are likely to affect only a subset of all crashes—usually called target crashes—and so examination of crash types will lead to improved ability to identify effective countermeasures. Finally, there is a priori reason to believe that different crash types (e.g., rear-end, angle, etc.) are associated with road geometry, the environment, and traffic variables in different ways and as a result justify the estimation of individual predictive models. The objectives of this paper are to (1) demonstrate that different crash types are associated to predictor variables in different ways (as theorized) and (2) show that estimation of crash type models may lead to greater insights regarding crash occurrence and countermeasure effectiveness. This paper first describes the estimation results of crash prediction models for angle, head-on, rear-end, sideswipe (same direction and opposite direction), and pedestrian-involved crash types. Serving as a basis for comparison, a crash prediction model is estimated for total crashes. Based on 837 motor vehicle crashes collected on two-lane rural intersections in the state of Georgia, six prediction models are estimated resulting in two Poisson (P) models and four NB (NB) models. The analysis reveals that factors such as the annual average daily traffic, the presence of turning lanes, and the number of driveways have a positive association with each type of crash, whereas median widths and the presence of lighting are negatively associated. For the best fitting models covariates are related to crash types in different ways, suggesting that crash types are associated with different precrash conditions and that modeling total crash frequency may not be helpful for identifying specific countermeasures.

Automatic generation of assertions to detect potential security vulnerabilities in C programs that use union and pointer types

Type unions, pointer variables and function pointers are a long standing source of subtle security bugs in C program code. Their use can lead to hard-to-diagnose crashes or exploitable vulnerabilities that allow an attacker to attain privileged access over classified data. This paper describes an automatable framework for detecting such weaknesses in C programs statically, where possible, and for generating assertions that will detect them dynamically, in other cases. Exclusively based on analysis of the source code, it identifies required assertions using a type inference system supported by a custom made symbol table. In our preliminary findings, our type system was able to infer the correct type of unions in different scopes, without manual code annotations or rewriting. Whenever an evaluation is not possible or is difficult to resolve, appropriate runtime assertions are formed and inserted into the source code. The approach is demonstrated via a prototype C analysis tool.