喀左县农业生态系统能流的研究

本文根据辽宁省西部一个典型具(喀左县)农业生态系统的调查,分析该系统八十年代初期基本特征,进而提出改善该农业生态系统的措施。 整个系统由七个组分(或亚系统)组成(农田、牲畜、果园、人工林、人工草地、天然灌丛草地、当地居民)。作者根据有关统计数据和调查资料估算出该系统1981—1983年期间年平均流量,其中包括流入和流出能量以及系统内各组分之间的能流量。最后讨论了调整畜牧业结构,提高工业能量、生物质能量利用率和林分改造等问题。     

免耕法对棉田生态系统能流功能的影响

比较了常规与免耕法对棉田生态系统中土壤微生物、害虫、天敌、棉株及其整个棉田生态系统能流功能的影响 .结果表明 ,免耕棉田土壤微生物量与年呼吸耗氧量均明显高于常规棉田 ,分别为常规棉田的 1 .32倍和 1 .63倍 ;免耕棉田的苗蚜与秋蚜、2代与 4代棉铃虫种群生产力下降 ,而伏蚜与 3代棉铃虫种群生产力增加 ;免耕棉田内天敌种群生产力及其捕食利用效率下降 ;免耕可提高棉田系统的光能利用率和总生产力 ,减少辅助能的投入 ,具有低耗、高效的特点 .     

中国农业生态的能流能值分析

应用最新能值分析理论和方法,以能值为共同尺度,定量分析中国农业生态系统的能物流,包括自然环境资源、石化补助能和可更新有机能的能值投入,以及农牧渔业的产出能值;计算得出一系列反映生态与经济的能值综合指标体系,绘制了中国农业总体生产系统能流能值模型图;评估了国家农业环境资源基础、能投结构和能值产出,并与一些发达国家比较分析,评价了中国农业的生态经济效益,分析了农业总体结构、能投结构,为农业生产的持续、     

小麦-玉米间作生态系统能流参数研究

采用田间调查与室内测定相结合的方法,以小麦．玉米间作生态系统为例,较系统地研究了初级生产者(农作物、杂草)、次级生产者(害虫、天敌)和分解者(微生物、原生动物和腐生动物)的能流参数值．结果表明,该生态系统能流具有初级生产力和能量转化效率高,通过食物链递减率大,各营养层内每生产单位能量所需的能量相对较少,上一营养层对下一营养层能量利用程度逐渐增大等特征．     

高产池塘混养鱼类相互关系及主体鱼资金投入产出模型的建立

应用灰色关联度分析法对顺德高产池塘的多品种混养鱼类关系进行分析,各种不同鱼类的放养对产量的关系为：鲮放养量对镛的净产量影响最大（Ｇ３４＝０．７９２１）,其次为草鱼放养对鲮的净产量影响（Ｇ１３＝０．７４１５）,最小为鲢的放养对草鱼的净产量关系（０．５９３２）。鲮的放养为优势母因子,鳙的收获为优势子因子。应用灰色动态模型ＧＭ（１,２）建模法建立了高产池塘主体鱼的产投关系模型,在该模型的基础上建立了系统     

红树林湿地模型研究进展

红树林是位于海岸潮间带的森林湿地生态系统,具有抗风削浪、保护堤岸、封存CO₂缓解全球气候变化等多种功能。然而,由于地理位置及生存环境特殊,红树林湿地模型的研究相对内陆湿地滞后。为了推动红树林湿地模型的研究,本文将目前常见红树林湿地模型按功能划分为植被生长生产模型、水文模型、物流能流模型三类,以阐述相关模型研究的进展,并对目前红树林湿地模型研究提出几点看法:(1)现有红树林湿地模型在不同区域、尺度下运行的有效性有待进一步验证;(2)国内对红树林生态系统服务及植被恢复工作相关模型研究较少,今后需加强该方面的研究。     

稻田生物群落的能流参数

为了从能流动态来研究稻田生物群落,本文用田间调查和实验室测定等方法,取得了晚稻田生物群落的物种数量、生物量、热值、呼吸量、生产力、同化效率、摄食量等数据。据此,进一步估算了晚稻田生物群落的能量流动参数。根据其能量收支,用能量金字塔总结了晚稻田生物群落各类种群间的能量关系。     

稻田生物群落的能流参数

为了从能流动态来研究稻田生物群落,本文用田间调查和实验室测定等方法,取得了晚稻田生物群落的物种数量、生物量、热值、呼吸量、生产力、同化效率、摄食量等数据。据此,进一步估算了晚稻田生物群落的能量流动参数。根据其能量收支,用能量金字塔总结了晚稻田生物群落各类种群间的能量关系。     

主养青鱼池塘生态系统能量转换率的研究

1985—1987年对苏州市郊区主养青鱼池塘生态系统的能量转换率进行了分析。结果表明,主养青鱼净产7.5、11.25、15t/ha 3个产量级型池塘青鲤团头鲂产出能占养鱼总产出能的比例分别为82.49、78.03、79.34％;总投入能(太阳辐射能+辅助能)转移到鱼的总产出能转换率分别为0.19、0.24、0.31％;太阳辐射能转移到毛和净初级生产力的能量转换率分别为0.76、0.90、0.96％和0.61、0.72、0.77％;净初级生产力转移到滤食性鱼净产量的能量转换率分别为4.02、4.63、5.27％;辅助能转移到鱼净产量的能量转换率分别为12.20、11.33。11.74％。在3个产量级型池塘中,以15t/ha产量级的能量转换率为最佳型。     

蒲洼农业生态系统能流的稳定性及其动态

在研究生态系统结构及功能的基础上,本文基于１９７５－１９９０年的数据,对蒲洼农业生态系统能流的稳定性及其动态进行了分析。通过建立能流模型,由李雅普诺夫稳定性原理,得出该生态系统能流的平衡态具有渐近稳定性。动态数学模拟表明,目前该系统的能量流动正从不稳定状态向稳定和平衡态过渡,这一过程大约需要７ａ时间。     

成都麻羊种群能量流动态的初步研究

家畜的能量流和能量的转化效率是家畜生产力的重要指标。在草地生态系统中,草食动物是能量和物质转化的重要环节。草地生态系统的能流,从第一性生产(总初级生产)到第二性生产的最终产品(净次级生产)至少要经过六个转化阶段。要加速能流和提高能量的转     

森林生态系统生物能流的瞬态分析

森林生态系统生物能流的瞬态分析欧阳兵（中国科学院大气物理所大气数值模拟国家重点实验室,北京１０００８０）Ｔｒａｎｓｉｅｎｔ－ＳｔａｔｅＡｎａｌｙｓｉｓｏｎＢｉｏｔｉｃＥｎｅｒｇｙＦｌｏｗｉｎＦｏｒｅｓｔＥｃｏｓｙｓｔｅｍ．￥ＯｕｙａｎｇＢｉｎｇ（ＬＡ...     

城市生态系统的人机交互式模拟研究

城市生态系统的人机交互式模拟研究吕永龙（中国科学院生态环境研究中心,北京１０００８５）ＡｎＡｐｐｒｏａｃｈｔｏＡＭｅｔｈｏｄｏｆＵｒｂａｎＥｃｏｓｙｓｔｅｍＳｉｍｕｌａｔｉｏｎ．￥ＬｕＹｏｎｇｌｏｎｇ（ＲｅｓｅａｒｃｈＣｅｎｔｅｒｆｏｒＥｃｏ－Ｅｎｖ...     

香蒲植物净化塘生态系统调查研究

韶夫江口铅锌矿废水不仅排放量大,而且重金属含量高,成份复杂,对水体污染严重。废水总排放量达61O78t·日~(-1),其入河口铅的浓度超过地面水卫生标准约11倍。几年来,利用     

农业生态系统能流分析方法的探讨

我们在北京市房山区窦店村从事“京郊平原以生态为中心的农业综合发展研究”课题的过程中,感到目前关于农业生态系统能流的计算方法难以准确揭示该村农业进程的内在规律。于是,对能流的计算方法进行了反复思考和探索,提出的方案不但简化了农业生态系统能流的计算与分析,而且有助于认识窦店村农业现代化的进程,准确地评价该村农业生态系统,并正确地指导农业生产。     

虾池生态系能量收支和流动的初步分析

根据日本刺沙蚕作为动物性活饵在虾池食物链中的作用,对虾池生态系中的有机质收支,生物能量流动及其转化效率进行了分析。结果表明,虾池在养殖期间输入和合成的有机质能量为１３７２５．１４ｋＪ／ｍ＾２,其中,初级产量为７５２３．８２ｋＪ／ｍ＾２,约占总输入的５５％。有机质在养殖期间的支出量平均１０３５９．３８ｋＪ／ｍ＾２,其中,生物呼吸７９８８．４９ｋＪ／ｍ＾２,占总支出的７７％;对虾产量平均８７４．４８ｋ     

Modelling carbon balances of coastal arctic tundra under changing climate

Rising air temperatures are believed to be hastening heterotrophic respiration (R_h) in arctic tundra ecosystems, which could lead to substantial losses of soil carbon (C). In order to improve confidence in predicting the likelihood of such loss, the comprehensive ecosystem model ecosys was first tested with carbon dioxide (CO₂) fluxes measured over a tundra soil in a growth chamber under various temperatures and soil‐water contents (θ). The model was then tested with CO₂ and energy fluxes measured over a coastal arctic tundra near Barrow, Alaska, under a range of weather conditions during 1998–1999. A rise in growth chamber temperature from 7 to 15 °C caused large, but commensurate, rises in respiration and CO₂ fixation, and so no significant effect on net CO₂ exchange was modelled or measured. An increase in growth chamber θ from field capacity to saturation caused substantial reductions in respiration but not in CO₂ fixation, and so an increase in net CO₂ exchange was modelled and measured. Long daylengths over the coastal tundra at Barrow caused an almost continuous C sink to be modelled and measured during most of July (2–4 g C m^?2 d^?1), but shortening daylengths and declining air temperatures caused a C source to be modelled and measured by early September (～1 g C m^?2 d^?1). At an annual time scale, the coastal tundra was modelled to be a small C sink (4 g C m^?2 y^?1) during 1998 when average air temperatures were 4 °C above normal, and a larger C sink (16 g C m^?2 y^?1) during 1999 when air temperatures were close to long‐term normals. During 100 years under rising atmospheric CO₂ concentration (C_a), air temperature and precipitation driven by the IS92a emissions scenario, modelled R_h rose commensurately with net primary productivity (NPP) under both current and elevated rates of atmospheric nitrogen (N) deposition, so that changes in soil C remained small. However, methane (CH₄) emissions were predicted to rise substantially in coastal tundra with IS92a‐driven climate change (from ～20 to ～40 g C m^?2 y^?1), causing a substantial increase in the emission of CO₂ equivalents. If the rate of temperature increase hypothesized in the IS92a emissions scenario had been raised by 50%, substantial losses of soil C (～1 kg C m^?2) would have been modelled after 100 years, including additional emissions of CH₄.     

Numerical Modelling of Electroosmotic Driven Flow in Nanoporous Media by Lattice Boltzmann Method

The lattice Boltzmann method was employed to simulate electroosmotic driven flow and Debye layer screening in conducting electrolyte around a porous structure with average size of 40 nm. The charge screening around the nanopores was investigated by solving the vector-superpositioned potential equilibrium distribution function and adding electro-kinetic force term to the evolution equation. In this intermediate case of moderate Debye length, the electrophoresis problem becomes complicated. The motion of the particles distorts the screening cloud, which becomes asymmetric, resulting in very complex interactions between the electrolyte, the screening cloud and the particle; but the Electroosmotic Flow (EOF) behaviour was still considered based on the Helmoholtz-Smoluchowski model with adaptation to fit nanoporous flow in the porous structure. In the present approach, the flow in the nanopores is directly modelled; the detailed flow information can be obtained by simplifying the repeated macrostructure. Due to the symmetry of the domain, the size of computational domain can be largely reduced by less repeated spherical nanoparticles. Each pore of the medium contains several lattice nodes on the simplified curved edges and potential gradients are produced by adjusting the zeta potential value. The velocity results for pressure-driven and EOF flows agree well with the analytical solutions and recent experimental results. In particular, the interface between solid particles and fluids, the influences of porosity, solid particle diameter, yield stress and electric parameters in EOF were investigated. The anti-adhesion effect of electroosmotic pumping effect was evaluated, and the pulsed DC was applied in order to enhance the performance of the electroosmotic pumping. The results demonstrate that the present lattice Boltzmann model is capable of modelling flow through nanoporous media at certain restrictions while some results deviate from the predictions based on the macroscopic theories.     

Introduction. Modelling natural action selection

Action selection is the task of resolving conflicts between competing behavioural alternatives. This theme issue is dedicated to advancing our understanding of the behavioural patterns and neural substrates supporting action selection in animals, including humans. The scope of problems investigated includes: (i) whether biological action selection is optimal (and, if so, what is optimized), (ii) the neural substrates for action selection in the vertebrate brain, (iii) the role of perceptual selection in decision-making, and (iv) the interaction of group and individual action selection. A second aim of this issue is to advance methodological practice with respect to modelling natural action section. A wide variety of computational modelling techniques are therefore employed ranging from formal mathematical approaches through to computational neuroscience, connectionism and agent-based modelling. The research described has broad implications for both natural and artificial sciences. One example, highlighted here, is its application to medical science where models of the neural substrates for action selection are contributing to the understanding of brain disorders such as Parkinson's disease, schizophrenia and attention deficit/hyperactivity disorder.     

混农林业生态系统内部的光能分布

林农混作中作物相互影响,除了争夺土壤肥力以外,主要是争夺光能。光能的合理分布是取得林粮双丰收的前提。分析生态系统内部光能分布的方法很多,但主要有两种:一是分析由于树木遮荫造成的光照时间的减弱,二是