重庆四面山杉木林优势种群径级结构与空间分布格局

种群空间格局分析有利于更好地理解格局形成的潜在生态过程。本研究以重庆四面山杉木林为研究对象,采用单变量和双变量函数分析了样地中杉木林主要种群的空间分布格局以及种群间的空间关联性。结果表明:(1)四面山杉木林共调查到乔木65种、灌木31种、草本20种。杉木种群径级结构呈衰退型,表现为以大树为主,中树次之,无小树;腺萼马银花、元江栲、细枝柃等种群径级结构呈增长型,表现为以小树、中树为主,大树次之。(2)在0~25 m尺度内,杉木种群呈随机分布,栲和元江栲呈聚集分布,而腺萼马银花、细枝柃、光叶山矾和长蕊杜鹃等4个种群则在小尺度下呈聚集分布,随着尺度的增大,呈现出随机分布的趋势。(3)生物学特性以及生境因子的差异导致杉木林主要种群间空间关联差异较大,杉木与元江栲和腺萼马银花种群之间呈负相关,而与光叶山矾、栲和长蕊杜鹃种群呈无相关,因此,在该区杉木纯林的近自然改造上,应优先考虑竞争力强的乡土树种,如长蕊杜鹃、栲、光叶山矾等进行混交。     

黑龙江省暴雪天气分析和预报技术

分析表明，造成黑龙江省暴雪的低压天气系统不仅来自西北、偏西和偏南方向，而且还有在东北和日本海新生成的，其中又以西南和南来的居多；高空影响系统主要是低槽，其次是低涡，但降暴雪时多数是低涡；造成暴雪的锋面系统以暖锋和锢囚锋为最多。另外，从造成降水的成因和水平锋生这两个角度出发，给出了7个暴雪落区的温压场模型。850hPa温度、850hPa温度平流和拔海高度决定了降水（雨、雪）的性质。     

不同围压条件下的圆形巷道岩爆过程模拟

利用FLAC模拟了不同围压条件下圆形巷道的岩爆过程。为了模拟巷道开挖,利用编写的FISH函数删除巷道内部的单元。岩石服从摩尔库仑剪破坏与拉破坏复合的破坏准则,破坏之后呈现应变软化-理想塑性行为。模拟结果表明:当围压较低时,剪切应变集中区域呈圆环状,围岩能保持稳定,不出现剪切带;当围压增加到一定程度时,围岩中出现了\"狗耳\"形的V形坑,发生岩爆,但围岩也还能保持稳定;当围压进一步增加时,围岩中出现了多条狭长的剪切带,巷道的整个断面均遭到了破坏,发生强烈的岩爆。随着围压的增加,V形岩爆坑变大、变深,剪切带花样的对称性变差;在高围压时,剪切带花样与塑性力学中的滑移线网有类似之处。     

灾害对我国国民经济的作用模式研究

深入地分析了灾害对我国粮食播种面积、粮食产量以及国民经济生产总值增长的影响,在此基础上总结了灾害对我国国民经济产生影响的基本作用模式。     

降雨径流污染风险等级识别与优化方法

径流污染控制是当前城市水环境保护的难题,识别径流污染物入河风险是提高污染控制效率的关键.将景观格局与过程相结合,借助景观指数和最小阻力模型,提出了降雨径流污染风险识别和治理方法.计算得到研究区主要河段的降雨径流污染格局、过程和综合风险指数;并计算出以耕地、城镇建设用地和交通工矿用地为\"源\"产生的风险路径分别为256、1...     

Spatial Patterns of Water Quality in the Cuiabá River Basin, Central Brazil

This study evaluates the spatial patterns of land occupation and their relationship to water quality in the Cuiabá River watershed, one of the main affluents of the Pantanal floodplain. The impact of farming and other land occupation forms were studied using a three year time series. Monitoring included 15 parameters at 21 stations with a total of 1266 different samples. Ten stations along the Cuiabá River were ordinated by Principal Component Analysis (PCA). For an exploratory analysis in the spatial domain, sub-basins of the Cuiabá watershed were classified according to mean concentrations of selected water quality parameters. Supervised classification of digital Landsat ETM imagery and standard GIS techniques were applied to parameterize land use and occupation according to a watershed scale. Redundancy Analysis (RDA) was then used to evaluate impacts of environmental and socio-economic factors on water quality.A Cuiabá headwater station only shows slightly elevated total coliform counts and concentrations of nutrients in the river after it passes regions of extensive cattle farming. After the confluence with the Manso River, nutrient and COD concentrations increase significantly, receiving loads from sub-basins under intensive agricultural land use, with mean annual concentrations up to 1.74 mg/L of total nitrogen (Kjedahl). Sub-watersheds with intensive fishing culture activities were shown to have significant impact on nitrogen concentrations, reaching mean concentrations of 2.66 mg/L of total nitrogen in the affluents. Most serious biological and chemical water pollution can be observed at stream outlets in the urban agglomeration of Cuiabá/Várzea Grande. Affluent pollution is reflected in the water quality of the Cuiabá River: subsequent monitoring stations in the urban area are ordinated on a gradient of increasing degradation of chemical and biological water quality. The auto-depuration capacity of the Cuiabá River is intact, but elevated concentrations of Phosphorous and Chemical Oxygen Demand can be observed as far away as the Pantanal floodplain, about 120 km downstream from the urban agglomeration.     

20年间艾比湖流域植被覆盖度景观格局变化

选取艾比湖流域1990年、2001年、2011年同期（9月）3期I．and．satTM遥感影像,基于归一化植被指数NDVI,提取植被覆盖等级图,利用ArcGIS9．3和Fragstas3．3对该流域植被景观的变化进行了分析研究。结果表明：1990—2011年,该流域植被覆盖度变化明显,低植被覆盖区和较低植被覆盖区都有所减少,分别由1990年的34．05％和32．94％减少到2011年的32．8％和24．06％;较高植被覆盖区和高植被覆盖区有所增加,分别由8．49％和5．20％增长到15．13％和9．83％,但水域面积退化明显,由1990年的525．9765km2缩小至494．9876km2,减少了30．9889km2,退缩幅度达O．4％;最大斑块指数（LPI）由17．04上升到21．10,香农多样性指数（SHDI）和香农均势度指数（SHEI）分别由1．5387和0．8588增长到1．6395和0．9150。表明艾比湖流域景观格局混杂程度愈来愈高,空间异质性在逐年加强,总体空间格局向破碎化趋势发展。     

南京大气气溶胶混合态与云凝结核活化特征研究

于2014年9月11~18日期间,在南京市气象局利用云凝结核计数器(CCNC)、气溶胶质量分析仪(APM)和扫描电迁移率粒径谱仪(SMPS)对气溶胶的分档云凝结核活性以及混合状态进行观测.结果表明,观测期间颗粒物混合状态以内部混合为主,76、111、138和181 nm颗粒物中,黑碳(BC)所占质量分数分别为5.4%、10%、10.7%和6.7%,而含BC核的颗粒物占总颗粒物数量的百分比分别为51%、57%、70%和59%,表明BC是大气中重要的凝结核,对大气颗粒物的数量有重要贡献.观测到的少数外混状态的颗粒物主要集中在111 nm和138 nm.76、111、138和181 nm颗粒物的临界过饱和度分别为0.25%、0.13%、0.06%和0.015%.降雨和灰霾对云凝结核活性影响较大,雨天、晴天和霾天的气溶胶吸湿性系数κ分别为0.37、0.29、0.39.气溶胶颗粒物的密度和云凝结核活性受化学组分影响明显,相对于晴天,霾天颗粒物中无机盐含量较高、有机物含量较少,对应的颗粒物密度较高、云凝结核活性较强.     

京津冀与长三角地区氢氯氟碳化物本底特征

基于北京上甸子与浙江临安区域大气本底站2011—2019年氢氯氟碳化物(HCFCs)采样观测数据,开展了京津冀与长三角地区6种HCFCs(HCFC-22、HCFC-141b、HCFC-142b、HCFC-124、HCFC-132b和HCFC-133a)本底特征研究。研究结果表明:临安站HCFCs浓度水平和浓度变率比上甸子站明显更高,尤其是HCFC-133a,其浓度及浓度变率均比上甸子站高1个量级,表明长三角地区HCFCs排放量可能较京津冀地区更大。2个站点HCFCs本底浓度基本一致,差异范围为-6.1%~7.1%。上甸子站本底数据占比为26.4%~69.0%,而临安站本底数据占比不足23%。在《关于消耗臭氧层物质的蒙特利尔议定书》的约束下,2个站点多数HCFCs年均浓度呈下降趋势或变化较小。2个站点HCFC-132b浓度相对较低,但2019年相比2018年有明显升高。结合风向进行分析,发现上甸子站HCFC-22、HCFC-141b、HCFC-142b和HCFC-132b高浓度水平主要由西南扇区(北京城区方向)的WSW、SSW及SW方向贡献,而HCFC-124和HCFC-133a在各风向上的浓度和载荷差异较小。临安站HCFC-124高浓度水平主要由SSE和NNE方向贡献,分别对应金华和湖州方向;其他5种HCFCs的高浓度水平主要由东北扇区的ENE方向贡献,对应杭州城区方向。     

Development of a Grassland Integrity Index Based on Breeding Bird Assemblages

We utilized landscape and breeding bird assemblage data from three Breeding Bird Survey (BBS) routes sampled from 1965–1995 to develop and test a grassland integrity index (GII) in a mixed-grass prairie area of Oklahoma. The overall study region is extensively fragmented from long-term agricultural activity, and native habitat remnants have been degraded by recent encroachment of woody vegetation, namely eastern redcedar (Juniperus virginiana L.). The 50 individual bird survey points along the BBS routes, known as stops, were used as sample sites. Our process first focused on developing a grassland disturbance index (GDI) as a measure of cumulative landscape disturbances for these sites. The GDI was based on five key landscape variables identified in an earlier species-level study of long-term avian community dynamics: total tree, shrub, and herbaceous vegetation cover indices, overall mean landscape patch size, and grassland patch core size. The GII was then developed based on breeding bird assemblage data. Assemblages were based on commonly used response guilds reflective of five avian life history parameters: foraging mode/location, nesting location, habitat specificity, migratory pattern, and dietary guild. We tested the response of 78 candidate assemblage metrics to the GDI, and eliminated those with no or poor response or with high correlations (redundant), resulting in 13 metrics for use in the final index. Individual metric scores were scaled to fall between 0 and 10, and the cumulative index to range from 0 to 100. Although broader application and refinement are possible, the avian-based GII has an advantage over labor-intensive, habitat-based monitoring in that the GII is derived from readily available long-term BBS data. Therefore, the GII shows promise as an inexpensive tool that could easily be applied over other areas to monitor changes in regional grassland conditions.