莲花湖库区红松水源涵养林土壤水分-物理性质的空间分布特征

运用地统计学对莲花湖库区红松水源涵养林表层土壤水分-物理性质进行了空间异质性分析。研究结果表明: 土壤含水量、土壤密度、毛管孔隙度、非毛管孔隙度等因子均服从对数正态分布;毛管孔隙度最优拟合模型是球状模型,其它因子均为指数模型。土壤含水量、土壤密度、毛管孔隙度和非毛管孔隙度块金值、变程、结构比、分数维和空间自相关系数最大值分别为0.311、0.297、0.192、0.293,6.87 m、10.29 m、8.31 m、8.88 m, 0.690、0.694、0.814、0.707,1.968、1.939、1.937、1.945,0.111、0.200、0.246、0.157。可见以上4个因子空间自相关性均较强,随着空间距离的增大,其相关性逐渐减弱。其中毛管孔隙度均一性程度较高;土壤含水量空间分布形态较复杂,破碎化程度高。     

能源安全综合评价方法探讨

能源安全是指一个国家或地区可以获取稳定、足量、经济、清洁的能源供给,以满足需求,保障经济社会稳健运行和持续、协调发展的能力和状态。它可用加权综合模型计算得来的"能源安全度"指数进行描述,取值范围最高为1,最低为0,分值越高越安全。研究表明,现实情景下,我国能源安全度平均为0.712 5,处于"基本安全"状态。未来发展规划得当,措施得力,到2020年、2030年能源安全度可提高到0.841 1、0.847 7,进入"安全"区间。若遇针对我国的能源封锁,则能源安全度可能会降至0.552 0的"不安全"区间。解决我国能源安全问题的关键,主要是增加战略储备、实行供应多元化、加强地质勘查、发展替代能源、提高能源效益,而且能源外交也要摆在显著位置。     

城市化对流域生态系统服务价值空间异质性的影响——以南京市九乡河流域为例

以南京市九乡河流域为研究区域,以2003、2009年两期遥感影像数据为基本信息源,在调整生态系统服务价值系数的基础上,计算流域生态系统服务价值,并利用ArcGIS的空间分析功能,研究流域生态系统服务价值的空间异质性及其变化,以及城市化与生态系统服务价值之间的关系。结果表明:2003-2009年,流域生态系统服务价值损失2.63%,达643.1×10⁴元,其中上游生态系统服务价值增加1.57%,而中游和下游则分别减少2.18%和10.58%,耕地流失是中游、下游和流域总生态系统服务价值减少的主要原因;食物生产、保持土壤等单项生态系统服务价值降低,而水文调节和提供美学功能的生态服务价值增加;九乡河流域生态系统服务价值的空间异质性发生了明显的变化,生态系统服务价值降低的区域主要集中在下游的仙林大学城以及中游靠近主城区的西村一带,而升高的区域主要分布在九乡河沿岸;城市化对流域生态系统服务价值的负效应明显。制定严格的生态规划,加强对流域开发建设的分类指导,是恢复和维护九乡河流域生态系统服务功能的有效途径。     

东太湖水质污染特征研究

2008年8月至2009年7月研究了江苏东太湖网围养殖区、东茭咀、油车港等12个典型湖区的水环境特征,运用主成分分析法研究东太湖水质的空间异质性及主控因素.结果表明,东太湖水质在各区域存在显著差异,季节变化明显,主要表现为丰水期水质优于枯水期. 12个水质指标简化成2个主成分,主成分I代表水体的总磷、溶解性总磷和磷酸盐水平,是东太湖水域最主要的污染因子;主成分II主要反映水体的有机污染状况,叶绿素a和高锰酸盐指数的贡献率较大.利用主成分得分进行聚类分析,将12个采样点分为4类,北部由于受东山镇生活污水影响,各入湖河道口污染较为严重,特别是油车港;网围养殖区由于人工栽植的水草较为茂盛,水质较好,同东茭咀、太浦河口等水域的水质一样.     

灰色层次分析法在脱硝技术评价中的应用

火电厂排放的氮氧化物(NOx)是主要的大气污染源之一,以灰色层次分析法为基础,选择目前应用较为成熟的3种典型的烟气脱硝工艺进行多指标、多层次的综合评价,将3种脱硝技术按照优劣进行排序,进而为选择合适的脱硝装置提供参考依据,以减少火电厂氮氧化物的排放。     

移动基站远场区功率密度分布和规划控制距离

为掌握畸变条件下移动通讯基站周围功率密度分布,合理确定其规划控制距离,在杭州市主城区选取具有不同网络类型和载波数的2057个移动基站,实测话务高峰期基站周围射频场功率密度.结果表明,畸变条件下GSM基站远场区功率密度S∝r-1.83 (非畸变条件下S∝r-2),决定系数R2=0.80;距基站天线20m内,约85.91%测点功率密度实测值小于非畸变条件下依据天线标称功率和增益计算的理论值.,频数统计结果表明,距天线1~15m范围内,运营商A所属基站S10值(表示有10%的测点功率密度高于该值)比运营商B高10.00%;距天线1~30m内,双网和三网共站基站S10值分别比单网基站高50.31%和57.10%.移动通讯基站规划控制距离以15m为宜,15m外测点功率密度值超过8μW/cm2的基站只占所测基站的0.11%.     

忻州市土地利用现状的环境敏感区分析

随着新一轮土地利用规划修编展开,针对忻州市土地利用存在的环境问题,利用调查资料和相关研究成果,有效管理土地利用空间向环境敏感地区伸展,减缓环境敏感地区的环境压力和生态胁迫,为市域土地利用方式和分区方案制定提供环境敏感性依据.从规划方案与面临的土地生态问题入手,划分生态环境、水源保护、污染影响、优质农田以及煤矿塌陷五类环境敏感区,并进行忻州市环境敏感地综合评价,明确其空间分布范围.研究结果表明,极高敏感、高敏感区占全市总面积的4%,较高敏感区和一般敏感区分别占10.5%和7.5%,低敏感区和非敏感区分别占40%和38%.通过分析规划土地利用功能分区方案与环境的协调性, 在土地利用规划过程中,提出土地利用方式和空间布局优化对策.     

基于生态承载力的成都产业空间布局研究

以成都市的20个行政区县为基本评价单元进行生态承载力评价,在此基础上进行产业空间布局研究. 结果表明:成都市的生态承载力空间分布存在明显差异,呈从山区—丘陵—平原依次递增、从流域源头—末端依次递增的规律. 根据不同单元生态承载力的空间和阈值差异,将成都产业空间布局划分为4个类型区,即重点发展区、引导发展区、限制发展区和保护发展区;针对不同类型区的特征,制订产业准入门槛、产业规模和产业发展方向等产业发展调控策略.      

Multiple structural modifications to dendritic ecological networks produce simple responses

Structural modifications to landscapes affect the ability of organisms to access different habitat patches. There exist, however, very few general methods by which to relate modifications to expectations of effects, and even fewer that enable understanding of how multiple modifications may interact. In the absence of any guiding principles, ecologists have assumed that interactions will result in complex landscape-scale effects. One way of understanding such effects is through rendering a landscape as a graph or network, among the simplest of which are dendritic networks typified by stream systems. Yet even for stream networks, there are no known general principles concerning the nature of interactions between multiple modifications. We developed a model to describe the ability of fish to access and use different habitat patches within dendritic networks. We used mathematical and numerical analyses of the model to investigate how the habitat value of a network is affected by changes in connectivity and habitat quality, and then to examine interactions between multiple modifications. Rather than showing complex interactions, our analytic and simulation-based results show that the combined effect of multiple modifications approximately equals the sum of individually predicted effects. Dendritic networks thus appear to respond far more simply to multiple modifications than has previously been assumed. These results have implications for stream management planning, and offer a firm foundation from which to better understand population processes within dendritic networks.     

Matching the Multiple Scales of Conservation with the Multiple Scales of Climate Change

Abstract:  To anticipate the rapidly changing world resulting from global climate change, the projections of climate models must be incorporated into conservation. This requires that the scales of conservation be aligned with the scales of climate-change projections. We considered how conservation has incorporated spatial scale into protecting biodiversity, how the projections of climate-change models vary with scale, and how the two do or do not align. Conservation planners use information about past and current ecological conditions at multiple scales to identify conservation targets and threats and guide conservation actions. Projections of climate change are also made at multiple scales, from global and regional circulation models to projections downscaled to local scales. These downscaled projections carry with them the uncertainties associated with the broad-scale models from which they are derived; thus, their high resolution may be more apparent than real. Conservation at regional or global scales is about establishing priorities and influencing policy. At these scales, the coarseness and uncertainties of global and regional climate models may be less important than what they reveal about possible futures. At the ecoregional scale, the uncertainties associated with downscaling climate models become more critical because the distributions of conservation targets on which plans are founded may shift under future climates. At a local scale, variations in topography and land cover influence local climate, often overriding the projections of broad-scale climate models and increasing uncertainty. Despite the uncertainties, ecologists and conservationists must work with climate-change modelers to focus on the most likely projections. The future will be different from the past and full of surprises; judicious use of model projections at appropriate scales may help us prepare.