沙坡头人工植被区陆气耦合模式及生物结皮与植被演变的机理研究

论述了研究陆气相互作用的意义和现状。在以前工作基础上，针对腾格里沙漠人工植被区陆气水热传输过程，提出了一个多层陆气的耦合模式。特别给出了导水率的计算模型和修正后的根系吸水模式，考虑了结皮层对于土壤水分入渗的影响以及植被演变的过程。陆气耦合模式分别对大气、植被、土壤作用多层划分，以助于细致了解沿高度分布的各物理量。同时，介绍了当地气候根况和野外观测情况。利用本模式对中国科学院沙坡头沙漠站人工植被区陆气水热效换过程进行了数值模拟，模拟结果与实测值吻合较好，可为当地合理利用水热资源和治理沙漠提供科学依据。

Environmental Mechanics Research in China

By recalling mankind's path during past 50 years in the present article, we mainly highlight the significance of environmental issues today. In particular, two major factors leading to environment deterioration in China such as water resources and coal burning are stressed on. Present-day environmental issues are obviously interdisciplinary, of multiple scales and multi-composition in nature. Therefore, a process-based approach for environment research is absolutely necessarily. A series of sub-processes, either physical, chemical or biological, are subsequently analyzed in order to established reasonable parameterization scheme and credible comprehensive model. And we are now in a position to answer questions still open to us, improve existing somewhat empirical engineering approaches and enhance quantitative accuracy in prediction. To illustrate this process-based research approach, three typical examples associated with the Yangtze River Estuary, Loess Plateau and Tenggeli Desert environments have been dealt with respectively. A theoretical model of vertical flow field accounting for runoff and tide interaction has been established to delineate salinity and sediment motion which are responsible for the formation of mouth bar at the outlet and the ecological evolution there. A kinematic wave theory combined with the revised Green-Ampt infiltration formula is applied to the prediction of runoff generation and erosion in three types of erosion region on the Loess Plateau. Three approaches describing water motion in SPAC system in arid areas at different levels have been improved by introducing vegetation sub-models. However, we have found that the formation of a dry sandy layer and biological crust skin are additional primary causes leading to deterioration of water supply and succession of ecological system.

Simulation of the Load-Unload Response Ratio and Critical Sensitivity in the Lattice Solid Model

The Load-Unload Response Ratio (LURR) method is an intermediate-term earthquake prediction approach that has shown considerable promise. It involves calculating the ratio of a specified energy release measure during loading and unloading where loading and unloading periods are determined from the earth tide induced perturbations in the Coulomb Failure Stress on optimally oriented faults. In the lead-up to large earthquakes, high LURR values are frequently observed a few months or years prior to the event. These signals may have a similar origin to the observed accelerating seismic moment release (AMR) prior to many large earthquakes or may be due to critical sensitivity of the crust when a large earthquake is imminent. As a first step towards studying the underlying physical mechanism for the LURR observations, numerical studies are conducted using the particle based lattice solid model (LSM) to determine whether LURR observations can be reproduced. The model is initialized as a heterogeneous 2-D block made up of random-sized particles bonded by elastic-brittle links. The system is subjected to uniaxial compression from rigid driving plates on the upper and lower edges of the model. Experiments are conducted using both strain and stress control to load the plates. A sinusoidal stress perturbation is added to the gradual compressional loading to simulate loading and unloading cycles and LURR is calculated. The results reproduce signals similar to those observed in earthquake prediction practice with a high LURR value followed by a sudden drop prior to macroscopic failure of the sample. The results suggest that LURR provides a good predictor for catastrophic failure in elastic-brittle systems and motivate further research to study the underlying physical mechanisms and statistical properties of high LURR values. The results provide encouragement for earthquake prediction research and the use of advanced simulation models to probe the physics of earthquakes.

Damage Localization, Sensitivity of Energy Release and the Catastrophe Transition

Large earthquakes can be viewed as catastrophic ruptures in the earth’s crust. There are two common features prior to the catastrophe transition in heterogeneous media. One is damage localization and the other is critical sensitivity; both of which are related to a cascade of damage coalescence. In this paper, in an attempt to reveal the physics underlying the catastrophe transition, analytic analysis based on mean-field approximation of a heterogeneous medium as well as numerical simulations using a network model are presented. Both the emergence of damage localization and the sensitivity of energy release are examined to explore the inherent statistical precursors prior to the eventual catastrophic rupture. Emergence of damage localization, as predicted by the mean-field analysis, is consistent with observations of the evolution of damage patterns. It is confirmed that precursors can be extracted from the time-series of energy release according to its sensitivity to increasing crustal stress. As a major result, present research indicates that the catastrophe transition and the critical point hypothesis (CPH) of earthquakes are interrelated. The results suggest there may be two cross-checking precursors of large earthquakes: damage localization and critical sensitivity.

Critical Sensitivity and Trans-Scale Fluctuations in Catastrophic Rupture

Rupture in the heterogeneous crust appears to be a catastrophe transition. Catastrophic rupture sensitively depends on the details of heterogeneity and stress transfer on multiple scales. These are difficult to identify and deal with. As a result, the threshold of earthquake-like rupture presents uncertainty. This may be the root of the difficulty of earthquake prediction. Based on a coupled pattern mapping model, we represent critical sensitivity and trans-scale fluctuations associated with catastrophic rupture. Critical sensitivity means that a system may become significantly sensitive near catastrophe transition. Trans-scale fluctuations mean that the level of stress fluctuations increases strongly and the spatial scale of stress and damage fluctuations evolves from the mesoscopic heterogeneity scale to the macroscopic scale as the catastrophe regime is approached. The underlying mechanism behind critical sensitivity and trans-scale fluctuations is the coupling effect between heterogeneity and dynamical nonlinearity. Such features may provide clues for prediction of catastrophic rupture, like material failure and great earthquakes. Critical sensitivity may be the physical mechanism underlying a promising earthquake forecasting method, the load-unload response ratio (LURR).

考虑生物结皮影响的陆气湍流模式研究

在以前工作基础上，针对腾格里沙漠人工植被区陆气水热传输过程，提出了一个多层陆气耦合模式。特别给出了导水率的计算模型和修正后的根系吸水模式，考虑了结皮层对土壤水分入渗的影响以及植被演化的过程。陆面过程耦合模式分别对大气、植被、土壤作多层划分，以助于细致了解沿度分布的各物理量。同时，利用本模式对中国科学院沙坡头沙漠站人工植被区陆气水热交换过程进行了数值模拟，模拟结果与实测值吻合较好，可为当地合理利用水热资源和沙漠治理提供科学依据。

内蒙古草原中生物土壤结皮生态学研究

1. 生物土壤结皮是干旱半干旱生态系统中的重要组成部分，它可通过增加土壤肥力和稳定性、影响水分再分配和植物萌发、成活、生长和繁殖而对生态系统结构和功能产生重要影响。为阐明生物结皮在内蒙古草地中的作用，本报告对两个草地生态系统进行了为期三年的调查，对生物结皮的氮素输入、对放牧的响应及其与植物的关系进行了综合研究。 2. 利用乙炔还原法，本研究对内蒙古退化草地中的生物土壤结皮中的蓝藻、地衣和地耳的氮素输入进行了为期30个月的连续测定。研究发现：1) 生物结皮固氮活性主要集中于5-10月，呈单峰型曲线，表明生物土壤结皮的固氮作用主要受温度和降雨影响;2) 生物结皮年固氮量为12.99-129.9 kg N•ha-1，98%的氮素固定于6-9月份;3) 按固氮量排序，蓝藻 (61%) > 地衣 (33%) > 地耳 (6%)，表明物种组成和丰度对生物结皮的氮素输入具重要影响。生物结皮的固氮量和季节变化表明生物结皮可以是影响退化草地中植物生长和促进退化草地恢复的重要影响因子。 3. 本研究选择三个放牧处理（长期放牧、短期围封和近期放牧）对生物结皮固氮活性进行了为期3年的研究。结果表明，与短期围封相比，长期放牧造成生物土壤结皮固氮活性下降了99.5%。固氮活性在放牧时间不足11个月时即可下降至最低水平，因此，放牧持续时间短于4个月的轮牧可能有利于生物土壤结皮的固氮。 4. 本研究选择6个放牧梯度（对照：0.00 羊/公顷, 极轻度放牧：1.33羊/公顷，轻度放牧：2.67羊/公顷，中度放牧：4.00羊/公顷，重度放牧：5.33羊/公顷，极重度放牧：6.67羊/公顷)，研究放牧强度对于生物结皮丰度、物种组成和固氮输入的影响。不同放牧强度对生物结皮丰度、物种组成和固氮输入具有重要影响，表明长期放牧可抑制生物土壤结皮在氮素输入和土壤固定方面的作用。极轻度放牧对生物土壤结皮影响不大;轻度放牧造成氮素输入降低了50%;重度和极重度放牧造成氮素输入降低了90%，并可使移动性较强的物种成为生物土壤结皮的优势组分，从而可抑制其土壤固定作用。因此，极轻度和轻度放牧是有利于生物土壤结皮固氮和固定土壤的草地利用方式。 5. 在处于恢复早期的一个退化草地中，我们对生物结皮和植物之间的关系进行了为期2年的研究。结果表明，生物结皮的丰度和物种组成与植物地上生物量和盖度高度相关。生物结皮丰度和氮素输入随植物生物量和盖度下降。结果还表明生物结皮是退化草地的主要氮素输入来源，尤其是在草地恢复初期。植物组织δ15N 低于土壤，这种差异随植物生产力增高而减小，表明生物结皮所固定氮素首先被植物利用，而后返回土壤。生物结皮的固氮输入变化可能是这种变化模式的主要原因，在分解作用和氮素损失中的同位素分馏，以及菌根真菌对于氮素的转运可能也是这种变化模式的原因。结果还显示生物土壤结皮与植物之间可能存在负反馈关系。这种自我调节的反馈过程可能是影响退化草地生态系统生产力和氮素循环的重要调节机制。

鄂尔多斯植物遥感光谱及植被分布特征

本研究通过对鄂尔多斯（主要为毛乌素地区）植物遥感光谱和土壤结皮光谱的测定，通过专题资料搜集、野外踏查、植被样方调查和室内盆栽试验和实验室分析等工作，利用遥感和地理信息系统技术，测定了研究区主要植物光谱和土壤结皮光谱，建立了研究区生态环境本底数据库，在以上的基础上，进行了3方面的详细研究： （1） 通过野外样方调查，野外和室内培养的生物结皮的地面高光谱测定和野外典型地物（鄂尔多斯地区优势高等植物种和沙地土壤）的高光谱测定。采用人工模拟降雨，从苔藓休眠-正常代谢-休眠过程中，研究苔藓土壤结皮的光谱变化，得出苔藓结皮在夏季的生命活动期（正常代谢）的光谱曲线具有高等植物光谱曲线特征;不同地物的NDVI在降水前后变化：苔藓结皮NDVI的变化为0.3-0.35左右，藻类结皮变化为0.15左右，100%盖度的油蒿变化约为0.03左右，而土壤物理结皮的NDVI变化为0.06-0.08左右，可见降水对结皮的归一化植被指数的影响较土壤和高等植被大的多，对苔藓结皮的影响尤其显著。 通过线性模型研究了生物结皮对区域植被遥感解译的影响：模拟得出调查区域（11km样线）由于干湿结皮的变换， NDVI值平均变化0.03， 苔藓湿时的NDVI较苔藓干时相对提高9.3%。可见在研究区，由于苔藓结皮等土壤结皮的存在和干旱半干旱区降雨的不稳定性，必然造成该区域短时间内NDVI的不稳定性。研究结果可为如何结合苔藓结皮的高光谱特征及其变化规律选择和研究合适的生物结皮（苔藓）遥感解译方法提供借鉴。 （2）通过对1980S,1990s,2000s三个时期遥感图像解译，分析了毛乌素沙地沙漠化过程及其驱动机制，认为毛乌素沙地近20年来沙漠化程度有所减轻，植被覆盖有所增加。气候因素和人为因素是导致植被覆盖增加的决定因素，通过多元回归分析确定降水和温度是影响毛乌素沙地植被变化的关键气候因子，并建立了相应的回归方程;人为因素的影响表现在20年来农田和林地的大面积增加。 （3）在建立研究区生态环境本底数据库的基础上，利用遥感解译结果和地理信息系统的空间分析功能，分析了气候因素、地质水文因素、地形和地貌等对植被分布的影响，得出在不同尺度上，影响植被分布的关键因素不同。在鄂尔多斯研究区，区域年降水量对全区的植被分布有着重要影响，尽管地质水文条件的不同也影响了小区域的植被分布。在毛乌素沙地区，在宏观尺度上（旗县），植被分布与其所处的海拔高度关系不明显，在小尺度上，植被分布表现出趋向于相对低海拔分布;小尺度研究中发现，植被分布受地形和基质岩性的组合的综合影响。

改性当地岸沙治理有害赤潮的研究

本论文从生态环境可持续发展观出发，选用了两种天然高分子聚合物壳聚糖与黄原胶作为改性剂，考察了它们在海水体系中的絮凝性能以及改性当地岸沙絮凝除藻的性能，同时探讨了赤泥复合剂絮凝除藻的性能。研究结果表明： 海水体系中的离子强度阻碍了壳聚糖高分子链的舒展，有效除藻时投加量大于50 mg/L；聚合氯化铝的加入，降低了壳聚糖的投加量，并且10 mg/L壳聚糖与10 mg/L聚合氯化铝协同对100 mg/L当地岸沙进行改性，改性后沙子具有较强的除藻效果，3 min后，强壮前沟藻与海洋小球藻的去除率为80%，沉淀4 h后，两种藻的去除率高达92-96%。 黄原胶单独使用时强壮前沟藻的去除率为32%-55%；氢氧化钙的加入，提高了黄原胶的絮凝活性；当黄原胶:氢氧化钙:土壤/沙子=1:5:15时，黄原胶投加量为20 mg/L时，30 min后，强壮前沟藻的去除率为83%-89%。 赤

Temporal Coherence of Chlorophyll a during a Spring Phytoplankton Bloom in Xiangxi Bay of Three-Gorges Reservoir, China

Algal bloom phenomenon was defined as "the rapid growth of one or more phytoplankton species which leads to a rapid increase in the biomass of phytoplankton", yet most estimates of temporal coherence are based on yearly or monthly sampling frequencies and little is known of how synchrony varies among phytoplankton or of the causes of temporal coherence during spring algal bloom. In this study, data of chlorophyll a and related environmental parameters were weekly gathered at 15 sampling sites in Xiangxi Bay of Three-Gorges Reservoir (TGR, China) to evaluate patterns of temporal coherence for phytoplankton during spring bloom and test if spatial heterogeneity of nutrient and inorganic suspended particles within a single ecosystem influences synchrony of spring phytoplankton dynamics. There is a clear spatial and temporal variation in chlorophyll a across Xiangxi Bay. The degree of temporal coherence for chlorophyll a between pairs of sites located in Xiangxi Bay ranged from -0.367 to 0.952 with mean and median values of 0.349 and 0.321, respectively. Low levels of temporal coherence were often detected among the three stretches of the bay (Down reach, middle reach and upper reach), while high levels of temporal coherence were often found within the same reach of the bay. The relative difference of DIN between pair sites was the strong predictor of temporal coherence for chlorophyll a in down and middle reach of the bay, while the relative difference in Anorganic Suspended Solids was the important factor regulating temporal coherence in middle and upper reach. Contrary to many studies, these results illustrate that, in a small geographic area (a single reservoir bay of approximately 25 km), spatial heterogeneity influence synchrony of phytoplankton dynamics during spring bloom and local processes may override the effects of regional processes or dispersal.

Influence of dew on biomass and photosystem II activity of cyanobacterial crusts in the Hopq Desert, northwest China

Dew is an important water source for desert organisms in semiarid and arid regions. Both field and laboratory experiments were conducted to investigate the possible roles of dew in growth of biomass and photosynthetic activity within cyanobacterial crust. The cyanobacteria, Microcoleus vaginatus Gom. and Scytonema javanicum (Kutz.) Born et Flah., were begun with stock cultures and sequential mass cultivations, and then the field experiment was performed by inoculating the inocula onto shifting sand for forming cyanobacterial crust during late summer and autumn of 2007 in Hopq Desert, northwest China. Measurements of dew amount and Chlorophyll a content were carried out in order to evaluate the changes in crust biomass following dew. Also, we determined the activity of photosystem II(PSII) within the crust in the laboratory by simulating the desiccation/rehydration process due to dew. Results showed that the average daily dew amount as measured by the cloth-plate method (CPM) was 0.154 mm during fifty-three days and that the crust biomass fluctuated from initial inoculation of 4.3 mu g Chlorophyll a cm(-2) sand to 5.8-7.3 mu g Chlorophyll a cm(-2) crust when dew acted as the sole water source, and reached a peak value of approximately 8.2 mu g Chlorophyll a cm(-2) crust owing to rainfalls. It indicated that there was a highly significant correlation between dew amounts and crust moistures (r = 0.897 or r = 0.882, all P < 0.0001), but not a significant correlation between dew and the biomass (r = 0.246 or r = 0.257, all P > 0.05), and thus concluded that dew might only play a relatively limited role in regulating the crust biomass. Correspondingly, we found that rains significantly facilitated biomass increase of the cyanobacterial crust. Results from the simulative experiment upon rehydration showed that approximately 80% of PSII activity could be achieved within about 50 min after rehydration in the dark and at 5 degrees C, and only about 20% of the activity was light-temperature dependent. This might mean that dew was crucial for cyanobacterial crust to rapidly activate photosynthetic activity during desiccation and rehydration despite low temperatures and weak light before dawn. It also showed in this study that the cyanobacterial crusts could receive and retain more dew than sand, which depended on microclimatic characteristics and soil properties of the crusts. It may be necessary for us to fully understanding the influence of dew on regulating the growth and activity of cyanobacterial crust, and to soundly evaluate the crust's potential application in fighting desertification because of the available water due to dew. (C) 2009 Published by Elsevier Ltd.

Forecasting Daily Chlorophyll a Concentration during the Spring Phytoplankton Bloom Period in Xiangxi Bay of the Three-Gorges Reservoir by Means of a Recurrent Artificial Neural Network

A recurrent artificial neural network was used for 0-and 7-days-ahead forecasting of daily spring phytoplankton bloom dynamics in Xiangxi Bay of Three-Gorges Reservoir with meteorological, hydrological, and limnological parameters as input variables. Daily data from the depth of 0.5 m was used to train the model, and data from the depth of 2.0 m was used to validate the calibrated model. The trained model achieved reasonable accuracy in predicting the daily dynamics of chlorophyll a both in 0-and 7-days-ahead forecasting. In 0-day-ahead forecasting, the R-2 values of observed and predicted data were 0.85 for training and 0.89 for validating. In 7-days-ahead forecasting, the R-2 values of training and validating were 0.68 and 0.66, respectively. Sensitivity analysis indicated that most ecological relationships between chlorophyll a and input environmental variables in 0-and 7-days-ahead models were reasonable. In the 0-day model, Secchi depth, water temperature, and dissolved silicate were the most important factors influencing the daily dynamics of chlorophyll a. And in 7-days-ahead predicting model, chlorophyll a was sensitive to most environmental variables except water level, DO, and NH3N.

Seasonal variations in stable isotope ratios of two biomanipulation fishes and seston in a large pen culture in hypereutrophic Meiliang Bay, Lake Taihu

This paper reports on seasonal changes in stable carbon and nitrogen isotope ratios of seston and muscle tissue of silver carp and bighead carp during 2004 and 2005, focusing primarily on the carbon sources and trophic relationships among phytoplankton, zooplankton and silver carp and bighead carp in a large fish pen of Meiliang Bay (Lake Taihu, China). delta C-13 showed a minimal value in March 2005 and a maximal value in August 2005 in seston both inside and outside the pen, whereas delta N-15 of seston showed the minimum in winter and the maximum during algal blooms. A positive correlation between delta C-13 of silver carp and that of seston suggested that temporal variation Of delta C-13 in seston was preserved in fish via the food chain. The differences of delta C-13 among seston, zooplankton and muscle tissue of silver carp and bighead carp ranged only 0.2-1.7%, indicating that plankton production was the primary food source of filter-feeding fishes. According to a mass balance model, we estimated that the contributions of zooplankton to the diets of silver carp and bighead carp were 45.7% and 54.3%, respectively, based on the delta N-15 values of zooplankton and planktivorous fishes. (C) 2007 Elsevier B.V. All rights reserved