废弃场地修复的微尺度生态安全评估优化体系

针对我国陆域废弃场地生态修复的技术需求,从生态安全角度提供了可操作性强的评估与优化方法和技术体系,重点包括场地调查,场地污染等级划分,阻力因子体系构建与模型分析,生态安全指标评估以及技术方案比选优化等步骤.研究同时展示了该生态安全评估与优化技术方法在典型陆域废弃场地生态修复中的具体应用,为陆域废弃场地的微尺度生态修复方案确定与优化提供了一种定量化科学方法.     

内河螺蛳（Margaryamelanioides）对水环境中邻苯二甲酸酯类的富集

为探索内河底栖生物对水环境中PAEs的富集规律,采用气相色谱质谱法定量测定宁波城市内河回龙段水体、底泥、螺蛳肉与壳中DMP、DEP、DIPP、DPP、DBP、BBP、DEHP和DOP的浓度。结果表明研究河域底泥、水样、螺蛳（Margaryamelanioides）肉和螺壳样品主要存在DMP、DBP、DEHP3种PAEs,DMP的平均浓度分别为3．435μg／g、0．023μg／g、1．239μg／g和0．712μg／g,DBP为2．613μg／g、0．484μg／g、6．984μg／g和0．282μg／g;DEHP为13．891μg/g、0．030μg／g、4．938μg／g和0．156μg／g,∑PAEs表现为底泥〉螺蛳肉〉螺壳〉水样。螺蛳肉及螺蛳壳对酯类富集能力分别表现为DEHP〉DBP〉DMP,DMP〉DEHP〉DBP,且螺蛳肉的富集能力明显强于螺蛳壳。螺蛳肉与水样DMP浓度呈显著的正相关,DBP和DEHP不相关;螺蛳壳中3种PAEs均与采样位点水样的PAEs呈显著的相关性;螺蛳肉、螺蛳壳与底泥的PAEs浓度均呈显著的相关性;各位点的螺蛳肉与螺蛳壳富集的3种PAEs浓度均呈显著的正相关。     

铁矿区重金属污染对土壤微生物群落变化的影响

以密云水库上游某铁矿区为研究对象,采用荧光定量PCR研究了矿区内不同采样点土壤中细菌、真菌、放线菌基因数量的变化,并结合土壤的理化性质与重金属污染情况进行了相关分析. 结果表明,研究区微生物的基因数量与该地区的w(AP)(AP为有效磷)均呈显著正相关(P<0.05);细菌、放线菌的基因数量与该地区的内梅罗污染指数呈显著负相关〔二者R分别为-0.756(P<0.01)和-0.614(P<0.05)〕,而真菌的基因数量与内梅罗污染指数无显著相关性. 采用PCR-DGGE研究了细菌、真菌、放线菌的群落结构变化,冗余度分析结果表明,内梅罗污染指数对细菌、放线菌的种群分布影响较大(P<0.05),对真菌的影响则较小. 细菌、放线菌的种群多样性水平随着污染程度升高呈先升后降的趋势. 微生物数量和结构的变化都表明,不同类群的微生物对重金属敏感程度为真菌抗性最强,放线菌和细菌次之. Cd和Cu污染抑制了土壤中微生物的数量和群落多样性,而轻度Cr、Pb和Zn污染则促进了群落数量的增加和群落结构多样性的丰富.      

人类活动对上海市生物多样性空间格局的影响

为了揭示人类活动对城市化地区生物多样性空间格局的影响及其景观生态学机制,文章将上海市作为研究对象,选择3个人类活动指标、3个主要类型生态系统的4个景观特征指标与8个生物多样性指标,探讨人类活动强度、野生动植物生境景观特征及生物多样性三者之间的相互关系。结果显示,人口增长和城市扩张对上海市生物多样性的空间格局产生了显著影响。在上海地区,人口密度较高、交通较为发达的区域,湿地和农田的景观连续性较低,生物多样性也较低,外来入侵物种丰度较高。这表明在快速城市化过程中,人类活动通过改变野生动植物栖息地景观质量来对区域生物多样性产生影响。本研究还显示,经济发展并非一定对生物多样性具有负面影响。因此,在保持经济发展的同时,通过优化产业结构与加强生物多样性管理,可实现对生物多样性有效保护。     

城乡建设用地景观格局多尺度差异

以郑州市域内1989、2000和2009年的典型城市与农村样地（25 km×25 km）为例,应用空间自相关、半方差、以及九项轨迹方差分析方法,对城市与农村建设用地景观多尺度上的空间格局特征与动态差异进行研究,结果表明,（1）城市建设用地景观聚集强度较高,斑块规模较大,而农村建设用地景观在大部分尺度上呈随机或均匀分布,斑块规模较小。（2）随着尺度的增加,城市及农村建设用地景观分布状态都由聚集向均匀过渡,但前者过渡较为平缓,而后者在小尺度范围（0~2km）变化速度较快,在较大尺度（3~16 km）上其分布状态的波动较小。（3）1989-2009年,城市与农村建设用地景观动态特征有较大差异,并表现出尺度依赖性。城市较小尺度上（0~4 km）建设用地景观的分布状态表现出聚集-分散的趋势,在较大尺度上（8~14 km）表现出分散-聚集的变化趋势。农村小尺度上（0~4 km）建设用地景观的分布状态也表现出聚集-分散的趋势,但大尺度（4~16 km）上状态变化很小且没有规律。     

基于可拓模式识别的煤与瓦斯突出危险性分析

为了有效识别煤与瓦斯突出的危险性,运用可拓理论和熵理论建立了基于熵权的可拓模式识别模型。熵权和关联函数的建立避免了权系数和综合隶属度确定的主观性。利用该模型对某能源有限公司3个工作面的突出危险性进行识别分析,不仅得出了各工作面的突出危险性程度,还得出了各工作面突出危险性大小的排序。结果表明,基于可拓模式识别的方法既可以确定单一对象的隶属模式,又可以对多个识别对象进行排序,而且识别过程宜于编制计算机程序求解,计算简单,易于在现场推广应用。     

农业资源利用模式体系构建的理论探讨--以江汉-洞庭平原为例

针对我国当前农业资源合理利用方法途径的系统性与实践性不强的问题,从长期的农业生产实践出发,应用系统论的研究方法,对农业资源利用方式与地域单元的要素组成及其结构层次进行了系统分析,构建了农业资源利用模式的三级体系框架,并分别按地域单元与行政区划设置了相应级别的空间尺度。同时,在此模式体系框架下,以江汉—洞庭平原为研究区域,进行了农业资源利用模式体系构建的实例分析,探讨了农业资源利用模式的应用与发展,为农业资源高效合理利用提供了可操作的指导框架与实施途径。     

厌氧迁移式污泥床反应器的水力特性研究

采用脉冲示踪法以NH4Cl作示踪剂,通过其在反应器中的停留时间分布来研究厌氧迁移式污泥床反应器(AMBR)的水力特性。反应器的结构决定了反应器的流态,从而控制着可能达到的处理效率。为优化设计反应器结构研究了反应器的构型、导流板与器壁间距对水力特性的影响。研究发现,反应器的流态介于推流式和完全混合式之间,带有导流板的反应器推流程度更大一些,而底部有孔的反应器推流程度弱,反应器的水力死区较小,均小于20%;导流板与器壁间距为8 mm时最佳。     

Foliage profiles of individual trees determine competition,self-thinning,biomass and NPP of a Cryptomeria japonica forest stand: A simulation study based on a stand-scale process-based forest model

A simulation study was carried out to investigate simultaneously the effects of eco-physiological parameters on competitive asymmetry, self-thinning, stand biomass and NPP in a temperate forest using an atmosphere–vegetation dynamics interactive model (MINoSGI). In this study, we selected three eco-physiological relevant parameters as foliage profiles (i.e. vertical distribution of leaf area density) of individual trees (distribution pattern is described by the parameter η), biomass allocation pattern in individual tree growth (χ) and the maximum carboxylation velocity (V_max). The position of the maximal leaf area density shifts upward in the canopy with increasing η. For scenarios with η < 4 (foliage concentrated in the lowest canopy layer) or η > 12 (foliage concentrated in the uppermost canopy layer), a low degree of competitive asymmetry was produced. These scenarios resulted in the survival of subordinate trees due to a brighter lower canopy environment when η < 4 or the generation of spatially separated foliage profiles between dominant and subordinate trees when η > 12. In contrast, competition between trees was most asymmetric when 4 ≤ η ≤ 12 (vertically widespread foliage profile in the canopy), especially when η = 8. In such cases, vertically widespread foliage of dominant trees lowered the opportunity of light acquisition for subordinate trees and reduced their carbon gain. The resulting reduction in carbon gain of subordinate trees yielded a higher degree of competitive asymmetry and ultimately higher mortality of subordinate trees. It was also shown that 4 ≤ η ≤ 12 generated higher self-thinning speed, smaller accumulated NPP, litter-fall and potential stand biomass as compared with the scenarios with η < 4 or η > 12. In contrast, our simulation revealed small effects of χ or V_max on the above-mentioned variables as compared with those of η. In particular, it is notable that greater V_max would not produce greater potential stand biomass and accumulated NPP although it has been thought that physiological parameters relevant to photosynthesis such as V_max influence dynamic changes in forest stand biomass and NPP (e.g. the greater the V_max, the greater the NPP). Overall, it is suggested that foliage profiles rather than biomass allocation or maximum carboxylation velocity greatly govern forest dynamics, stand biomass, NPP and litter-fall.     

A phenomenological model without dispersal kernel to model species migration

Phenomenological approaches to model species migration are usually based on kernel-based methods. These methods require a good knowledge of the dispersal agent behaviour for a given species. They also calculate the location of individuals independently to each other (except the mother plant) and then suppress some of them according to additional interactions such as competition, facilitation and recruitment. In this paper, we propose to use a new phenomenological method, the Gibbs method, to model tree species migration at large scale. The Gibbs method handles the location of adult individuals in terms of pairwise interactions described by a potential function. This function summarizes the set of known and unknown factors determining the spatial distribution of the individuals (or cohorts). The principle of the Gibbs method is to minimize the sum of all pairwise interactions, also called the cost function, in order to optimize the spatial point pattern according to the chosen potential function.