广州城市居民地方依恋测度与机理

“地方依恋”问题涉及地理学、心理学、社会学、城市学等多个学科,已经成为中国快速城市化时期亟待解决的重要问题。伴随大城市内部空间的剧烈重构,城市居民对其居住空间的地方依恋也在不断变化,需要进行深入研究。本文选取广州23个典型社区,通过量表测度居民的地方依恋,并采用结构方程模型等计量方法,探索社区信任、社区满意度等要素对居民地方依恋的作用机理。同时,系统对比了居民对于不同空间尺度的地方依恋,如社区尺度和城市尺度,并对本地居民和外来移民两组人群的地方依恋及其差异进行了系统研究。研究发现：① 城市居民的社区依恋程度高于城市依恋程度;② 本地居民的社区依恋和城市依恋程度均明显高于外来移民;③ 城市居民的社区依恋同时受到社区信任和社区满意度的直接影响,但两者需通过社区依恋的中介效应间接影响居民的城市依恋;④ 社区信任与社区满意度对外来移民的社区依恋和城市依恋均具有显著作用,但对本地居民的城市依恋作用较弱。基于实证结果,本文认为,相同因素对于不同尺度的地方依恋作用机理存在差异,不同人群的地方依恋机理亦有不同,地方依恋同时具有尺度差异性和群体差异性。     

中国高技能劳动力与一般劳动力的空间分布格局及其影响因素

基于2000和2010年全国人口普查分县数据和地级行政单元数据,采用不均衡指数和空间自相关分析等方法,刻画中国高技能劳动力和一般劳动力的空间分布格局及其变化,并采用空间滞后模型,识别高技能劳动力与一般劳动力空间分布的决定因素及其变化。结果表明：① 两类劳动力总体的空间特征均为东南密集,西北稀疏;② 2000—2010年,高技能劳动力在空间分布上呈集中化的趋势,而一般劳动力呈分散化的趋势;③ 十年间高技能劳动力集聚区虹吸作用加强,其分布越发集中于沿海特大城市群,而一般劳动力集聚区回波作用加强,其分布越发均衡;④ 空间回归分析结果表明,职工平均工资、是否直辖市或省会、每万人在校高校学生、是否沿海城市、常住人口数和空间溢出效应在十年中一直都是决定高技能劳动力和一般劳动力空间分布的主要因素,而失业率、中学生师比、二氧化硫排放量和绿地率在2010年也成为影响两类劳动力空间分布的主要因素。对比两类劳动力的模型结果可得,高技能劳动力的空间分布受行政因素、高校因素和地区生活舒适度的影响更大,而一般劳动力的空间分布受劳动力市场因素的影响更大。     

地方依恋对城市居民社区参与的影响研究 ——以广州为例

基于2015年广州市1 273份居民问卷调查和半结构性访谈数据,结合逐步LPM回归和中介效应模型,探讨地方依恋和社区参与两者关系中存在的中介效应及其传导机制,并系统对比本地居民与外来移民之间的差异。研究发现：① 社区居民的地方依恋能够直接提升其社区参与期望;② 社区参与行为作为一个中介变量,在地方依恋对社区参与期望的影响中发挥中介效应;③ 对比本地居民,外来移民的社区参与行为和期望程度相对较低;④ 外来移民的社区参与行为对其社区参与期望影响的中介效应相对较弱。揭示了中国城市居民社区参与中存在户籍制度壁垒,需要进一步通过社区公共服务均等化措施,提升居民尤其是外来移民的获得感、幸福感和安全感。     

High-throughput sequencing of 16S r RNA amplicons characterizes gut microbiota shift of juvenile sea cucumber Apostichopus japonicus feeding with three antibiotics

Sea cucumber Apostichopus.japonicus is an important marine economic species in Asian countries due to its profound nutritional and medicinal value.So far,with the rapid development of intensified artificial aquaculture of sea cucumbers,the use of antibiotics is still an inexpensive and dispensable way to treat pathogenic infections,especially during the nursery phase.However,there is little information on the effects of antibiotics on the intestinal microbiota of sea cucumber.Therefore an Illumina based sequencing method was used to examine the intestinal bacterial composition of juvenile A.japonicas following diets with three typical antibiotics(tetracycline,erythromycin.,and norfloxacin)under 15,30,and 45 d.The findings reveal that different antibiotics have distinct effects on the growth performance of juvenile sea cucumbers.However,the richness and diversity of microbiota were barely affected by antibiotics but the community composition alterations indicated that the three antibiotics exhibited their respective patterns of reshaping the intestinal bacteria of juvenile sea cucumbers.In common,the abundance of some sensitive genera with helpful functions,such as Thalassotalea,Shewanella,Sulfitobacter,and Halomonas decreased significantly with exposure to antibiotics and the abundance of multiple potential pathogenic-and suspected antibiotic-resistant microorganisms like Arcobacter,Leucothrix,and Clostridium_sensu_stricto_1 was found increased significantly in the antibiotic groups.These results suggest that low doses of antibiotics could affect the composition of the intestinal microbiota of sea cucumbers and might increase the risk of infection of the hosts.This study could help us to explore how antibacterial compounds modify the gut microbiota of sea cucumbers and provide theoretical guidance in hatchery management by scientific antibiotic use in sea cucumber mariculture.     

Dynamic metabolite alterations of Portunus trituberculatus during larval development

Journal of Oceanology and Limnology - A mass mortality often occurs from molting to the megalopa stage during the larval development of the swimming crab Portunus trituberculatus. Larvae with...     

Spatio-temporal variability of small fishes related with environmental factors in a typical domestic tap water lake,Eastern China

The knowledge of prey small fish stock, distribution and abundance is necessary to guide stocking of piscivorous fish for the biomanipulation in domestic tap water lakes. This study describes the current status of small fish community in Lake Kuilei (China), and examines the spatial and seasonal variations of the community in relation to key environmental factors. Based on submerged macrophyte cover and water depth, the lake was divided into five major habitats: (1) macrophyte covered shallow habitat of water depth < 2.00 m, (2) uncovered or less-covered shallow habitat (2.00 m–3.50 m), (3) uncovered medium shallow habitat (3.50 m–5.00 m), (4) uncovered medium deep habitat (5.00 m–6.50 m) and (5) uncovered deep habitat (6.50 m–8.50 m). The abundance and composition of small fish were monitored by benthic fykenet sampling from April 2013 to January 2014. A total of 2881 individuals belonging to 5 families and 21 species were collected. Based on their abundance (accounted for 88.96% of the total) and occurrence (more than 33.33%), Acheilognathus chankaensis, Acheilognathus macropterus, Microphysogobio microstomus, Pseudorasbora parva and Rhinogobius giurinus were recognized as dominant small fish species. The results of correlation analysis identified that species richness ( Sr ), Shannon-Wiener diversity index ( H′ ) and Margalef′s richness index ( D ) were significantly negatively correlated with water depth, but positively correlated with biomass of submerged macrophytes.Redundancy analysis (RDA) revealed that the spatial distributions of most small fishes were negatively associated with water depth. The details of these findings are beneficial to understanding the adaptation of the small fishes in degraded environments, and to developing suitable biomanipulation strategies for the management of fish resources and water quality in the lakes along the lower reach of the Changjiang (Yangtze) River basin.

     

Integration of nighttime light remote sensing images and taxi GPS tracking data for population surface enhancement

The population distribution grid at fine scales better reflects the distribution of residents and plays an important role in investigating urban systems. The recent years have witnessed a growing trend of applying the nighttime light data to the estimation of population at micro levels. However, using the nighttime light data alone to estimate population may cause the overestimation problem due to excessively high light radiance in specific types of areas such as commercial zones and transportation hubs. In dealing with this issue, this study used taxi trajectory data that delineate people’s movements, and explored the utility of integrating the nighttime light and taxi trajectory data in the estimation of population in Shanghai at the spatial resolution of 500 m. First, the initial population distribution grid was generated based on the NPP-VIIRS nighttime light data. Then, a calibration grid was created with taxi trajectory data, whereby the initial population grid was optimized. The accuracy of the resultant population grid was assessed by comparing it with the refined survey data. The result indicates that the final population distribution grid performed better than the initial population grid, which reflects the effectiveness of the proposed calibration process.     

Hierarchical community detection and functional area identification with OSM roads and complex graph theory

An in-depth analysis of the urban road network structure plays an essential role in understanding the distribution of urban functional area. To concentrate topologically densely connected road segments, communities of urban roads provide a new perspective to study the structure of the network. In this study, based on OpenStreetMap (OSM) roads and points-of-interest (POI) data, we employ the Infomap community detection algorithm to identify the hierarchical community in city roads and explore the shaping role roads play in urban space and their relation with the distribution of urban functional areas. The results demonstrate that the distribution of communities at different levels in Guangzhou, China reflects the urban spatial relation between the suburbs and urban centers and within urban centers. Moreover, the study explored the functional area characteristics at the community scale and identified the distribution of various functional areas. Owing to the structure information contained in the identification process, the detected community can be used as a basic unit in other urban studies. In general, with the community-based network, this study proposes a novel method of combining city roads with urban space and functional zones, providing necessary data support and academic guidance for government and urban planners.     

Forecasting Copper Prices Using Hybrid Adaptive Neuro-Fuzzy Inference System and Genetic Algorithms

Natural Resources Research - An accurate forecasting model for the price volatility of minerals plays a vital role in future investments and decisions for mining projects and related companies. In...     

长江口盐度梯度下不同形态碳的分布、来源与混合行为

河口碳的生物地球化学过程是全球碳循环的重要组成。通过测定溶解无机碳（DIC）及其稳定同位素丰度（δ13C_DIC）,溶解有机碳（DOC）,有色溶解有机物（CDOM）,颗粒有机碳（POC）及其稳定同位素丰度（δ13C_POC）与元素比值（N/C）及相关指标,研究了2014年7月长江口盐度梯度下不同形态碳的分布、来源和混合行为。结果表明,DIC浓度、DOC浓度、POC含量分别为1 583.2~1 739.6 μmol/L,128.4~369.4 μmol/L和51.2~530.8 μmol/L,这些不同形态碳及CDOM的荧光组分的分布模式相似,均是从口内到口外,整体呈现先增大后减小的趋势,并与盐度呈现非保守混合行为。添加作用主要发生在在口门处最大浑浊带附近。与含量相反,从口内到口外,δ13C_DIC和δ13C_POC均呈现逐渐减小再增大的趋势,在口门附近达到最低值,分别为-9.7‰和-26.7‰。在口门附近不同形态碳含量上升及δ13C_DIC、δ13C_POC的降低可能主要与沉积物再悬浮及微生物作用有关。基于蒙特卡洛模拟的三端元混合模型的结果显示,河口内外POC来源变化明显,口内POC以陆源有机碳贡献为主,平均为62.3%,口外海源贡献逐渐增加。CDOM相关参数结果表明长江口CDOM主要来自陆源输入,海源及人类活动等也对其产生影响。