China’s urban residential community in the course of transfer of social pattern

Even though the study of urban sociology in China is just a beginning, it doesn’t mean that urban social problems in China are new or simple. As a very sensitive field, urban residential community has not been deeply analysed before owing to various reasons. This article tries to start with the background of China’s social development and analyse the pattern, essence and evolution direction of China’s urban residential community which is in the course of transfer of social pattern. This article first analyzes the functional mechanism of seven main elements affecting Chinese urban residential community in the course of transfer of social pattern. Some of the elements come into being under the social economic background, with Chinese characteristics, and have a profound influence on urban residential community. Based on that, the author then respectively infers the evolution of four main patterns of urban residential communities in China now. Finally, it puts forward the basic principles of urban community development in the current transfer period in China, and with a development eyesight, it makes a summary of the general characteristics of the Chinese urban residential community in the future.     

北京市不同功能区不透水地表时空变化差异

目前有关北京市不透水地表的相关研究多数是从整体层面开展,忽略了其内部功能区的作用及差异。运用分类回归树（CART）及系列变化检测模型得到北京市1991年、2001年、2011年和2015年四期不透水地表分布,并运用标准差椭圆、洛伦兹曲线、贡献指数及景观格局理论对各功能区不透水地表的时空变化进行分析。结果显示：1991-2015年北京市不透水地表的总面积增加了约144.18%,分布的主导方向由早期的东北—西南趋向于当前的正北—正南。各功能区间不透水地表的空间分布异质性逐渐减弱,但贡献指数值存在很大差异：功能拓展区的贡献指数最高,其四年中的最低值（1.79）高于其他功能区四年最高值,是北京市不透水地表增长最主要的贡献区;功能核心区的蔓延度指数值最高,约为其他功能区的2倍,为不透水地表的优势聚集区;发展新区的贡献值由负值变为正值并成倍增长,成为北京市不透水地表增长的主要源区;生态涵养发展区的贡献指数始终为负,并逐年减小。不同类型不透水地表的景观指数和质心偏移均存在差异,高盖度不透水地表的形状指数和斑块密度值最小,分布最为集中,对生态环境影响较大,北京市在未来发展过程中应合理规划控制其空间格局及增长模式,尽量减缓其增长速度及团聚程度。     

基于海洋功能区划的海域开发利用承载力评价——以津冀海域为例

海洋功能区划是海域法确定的海域开发利用的重要依据。本文针对海域开发利用管理的技术需求,采用专家咨询法,确定海域使用分类8个一级类型所包含的30个二级类型的资源耗用系数,构建了海域开发利用强度指数及海域开发利用评价标准,以此为基础形成了基于海洋功能区划的海域开发利用承载力指数,并以津冀海域为例开展了实证评价研究。结果表明：①以海洋功能区划为依据的海域开发利用承载力评价方法可客观地揭示海域开发利用承载力程度。②津冀海域的曹妃甸海域、天津滨海新区海域和黄骅海域开发利用承载力指数分别达到10.30、13.87和10.30,处于承载力较高状态;昌黎海域开发利用承载力指数为7.61,处于承载力适中状态;其余的秦皇岛市区、抚宁县、乐亭县、滦南县和丰南区海域开发利用承载力指数都小于5.0,处于承载力较低状态。     

南通海岸带滩涂开发类型选择与空间功能配置研究

海岸带滩涂开发类型选择与空间布局是海岸带综合管理研究的重要内容,对于促进海岸带可持续发展具有重要意义。以海岸带资源环境-社会经济条件与滩涂开发类型对应关系透视为基础,结合南通海岸带滩涂条件、开发类型演变和区域发展背景分析,提出该地区生态旅游、农业和港口–工业–城镇多元化的滩涂综合利用模式,集成适宜性评价与分区、多部门规划冲突与协调等方法,探讨了南通海岸带滩涂地区生态与旅游、农业和港工城等功能区的空间配置路径。南通海岸带地区三类空间适宜比例分别23.5%,32.7%和43.8%,可以作为海岸带综合管理政策制定的参考。     

乌鲁木齐景观生态功能区划及生态调控研究

乌鲁木齐作为中国西部发展较快的特大城市，城市生态环境问题日趋明显。对城市生态环境的研究，有利于充分认识城市发展与环境保护这对矛盾的生态学实质，在对乌鲁木齐城市生态环境调查的基础上，总结了乌鲁木齐城市生态环境的特征，根据综合整体、地域分异、景观异质、功能结构、城市发展、环境容载等景观生态学和城市生态学原则，划分了乌鲁木齐城市区域景观生态功能区，包括城市建设及中心区，城市生态平衡与开发区和城市生态保护及后备区，据此，对乌鲁木齐城市生态调控提出了初步建议，包括环境控制工程，生物控制工程、景观生态建设和生态管理调控。     

Helmert型方差—协方差分量估计的通用公式

本文在概括函数模型和它的通用公式的基础上,导出了一个适用于所有平差方法的方差—协方差分量估计的通用公式,并由此给出方差分量估计的通用公式和简化的通用公式。     

斑石鲷早期发育的异速生长模式

为研究斑石鲷(Oplegnathus punctatus)早期发育阶段的生长规律及重要器官的异速生长模式,作者运用实验生态学方法,测定了斑石鲷仔稚幼鱼(0~70日龄)全长和体质量随日龄的变化规律。结果显示,全长、体质量与日龄的关系均符合Cubic函数,随日龄的生长曲线表现为S型。斑石鲷全长和体质量的生长可分为3个阶段,不同阶段的生长率存在显著差异(P0.05)。斑石鲷的头长、眼径、吻长、口裂、体高、尾鳍长等重要外部形态学指标均存在异速生长规律,其生长拐点依次为35日龄(全长20.32 mm)、22日龄(全长13.17 mm)、29日龄(全长16.63 mm)、30日龄(全长15.50 mm)、32日龄(全长19.79 mm)、32日龄(全长19.79 mm)。相对于全长,头长、吻长、口裂在拐点前后由正异速生长变为等速生长;眼径、尾鳍由正异速生长转为负异速生长;而体高在0~70日龄为正异速生长,但拐点之后已明显变缓。研究表明斑石鲷通过异速生长,确保与其基本生存能力相关的功能器官优先发育,以适应复杂多变的生存环境,并相应地提高了仔稚鱼的存活率,对鱼苗培育具有重要的指导意义。     

Redundancy and diversity of functional reef fish groups of the Mexican Eastern Pacific

Coral reefs are in crisis worldwide. Fish play a key role in the resilience of reefs because most of the biomass of the ecosystem flows through them. Evidence indicates that the response to stressors will vary markedly depending on the resilience of the ecosystem. In order to assess the functional groups of reef fishes, morphometric and ecomorphological analyses were carried out on the shape and diet of 117 reef fish species from the Mexican Eastern Pacific (MEP) from 23°N to 15°N, spanning the years 2009–2012. Six trophic groups were identified and subdivided into 19 functional groups: (A) detritus and plants consumers, three morphologies; (B) plants and zoobenthos consumers, four morphologies; (C) zoobenthos consumers, two morphologies; (D) zoobenthos and zooplankton consumers, three morphologies; (E) zooplankton and nekton consumers, three morphologies; and (F) nekton consumers, four morphologies. Our main conclusions are: (i) fish communities of the MEP have a high degree of ecological redundancy; (ii) fish diversity is not related to the coral cover; and (iii) the combination of using both morphology and diet produce a more effective classification of functional groups. Future studies such as these will allow a deeper understanding of environment and it will help illuminate the effects of fish morphology and diet on population structure.     

Latent spatio-temporal activity structures: a new approach to inferring intra-urban functional regions via social media check-in data

Abstract

This article introduces a novel low rank approximation (LRA)-based model to detect the functional regions with the data from about 15 million social media check-in records during a year-long period in Shanghai, China. We identified a series of latent structures, named latent spatio-temporal activity structures. While interpreting these structures, we can obtain a series of underlying associations between the spatial and temporal activity patterns. Moreover, we can not only reproduce the observed data with a lower dimensional representative, but also project spatio-temporal activity patterns in the same coordinate system. With the K-means clustering algorithm, five significant types of clusters that are directly annotated with a combination of temporal activities can be obtained, providing a clear picture of the correlation between the groups of regions and different activities at different times during a day. Besides the commercial and transportation dominant areas, we also detected two kinds of residential areas, the developed residential areas and the developing residential areas. We further interpret the spatial distribution of these clusters using urban form analytics. The results are highly consistent with the government planning in the same periods, indicating that our model is applicable to infer the functional regions from social media check-in data and can benefit a wide range of fields, such as urban planning, public services, and location-based recommender systems.