环莫干山民宿的时空分布特征与成因

民宿是中国乡村振兴和旅游转型升级过程中涌现出的新兴业态和空间利用方式,但学术关注滞后。环莫干山地区是目前中国最典型的民宿发展集聚区之一。本研究通过官方统计资料和实地调研获取环莫干山民宿空间发展数据,构建了ArcGIS和地理探测器结合的民宿空间过程分析方法,基于目的地的微观尺度系统地探讨环莫干山民宿时空分布特征和成因。研究发现：① 2011—2017年环莫干山民宿呈现出逐年增长的态势,空间分布范围不断扩大,空间发展方向出现较大变化,逐渐趋向镇域均衡性发展。目前已经在莫干山风景区毗邻村域形成以“后坞-仙潭-燎原-劳岭-兰树坑”为中心的环莫干山面状核心集聚区和边缘村域多点集聚的民宿空间发展结构。不同档次民宿的时空发展趋势具有一定差异。② 环莫干山民宿的空间过程由集聚到强烈集聚,不同档次民宿的集聚程度均呈现出快速提升的趋势。空间发展过程中早期民宿集聚点扩散效应显著。空间集聚过程与地形地势、核心风景区、交通干线和居民点密切相关。③ 风景景观、发展基础、社会因素和区位因素是环莫干山民宿景观格局异质性的重要决定因素维度,但不同等级民宿的空间决定因素维度和指标差异性显著,两因素维度交互作用对于民宿的空间影响力更为显著。研究对于丰富接待业空间选址的类型研究,总结中国典型民宿集聚区空间发展模式具有重要理论意义,同时对于民宿产业选址和民宿集聚区规划实践具有一定现实意义。     

中国老龄事业发展水平时空演化及其与经济发展水平的空间匹配

基于“积极老龄化”理论框架,从健康、参与和保障三大维度构建中国老龄事业发展水平评价指标体系。以中国大陆31个省（自治区、直辖市）为研究对象,运用数理统计、重心和空间重叠性、空间错位分析和计量经济模型等方法,分析了2004—2016年中国老龄事业发展水平的时序变化、空间格局、错位特征及其影响机制。结果表明：① 2004—2016年,中国老龄事业发展水平整体快速增长,区域差异逐渐缩小,但区域失衡特征不容忽视。东部地区整体水平高于中部、西部及东北地区,并伴有“西部崛起,中部及东北地区塌陷”特征。东部地区呈现“两极化”现象。② 中国老龄事业基本处于低水平发展阶段,空间分布由西南-东北辐射递减模式转变为显著的“中部塌陷”式,形成一条由北向南的低值集聚带,纵贯中国中部,与区域经济发展存在错位关系。③ 负向错位区主要分布在黄河、长江中上游地区,正向错位区主要集中在东部沿海、长城以北等地区。空间错位强度存在显著的地域差异性,其中西部地区尤为显著。④ 老龄事业发展水平的动态变化是多因素交互作用的结果。经济发展水平、政府政策和行政导向及产业结构的时空分异对其产生正向影响。市场经济规模扩大和人口老龄化未对老龄事业发展起推动作用,与理论预期不符。家庭规模小型化的倒逼作用不显著。     

生态地理学概念界定及其经典案例分析

对生态地理学的概念进行了详细讨论和辨析,并将它与相近学科如生物地理学、生态地理区划、宏生态学等进行了比较分析,界定了生态地理学的概念。研究认为：生态地理学是生态学和地理学的交叉学科,是研究生态系统各组分关系和生态过程的地理空间分布格局或/和时间演变规律及其与地理环境耦合机制的学科。生态地理学的目的是揭示不同环境梯度下或不同时间尺度上生态系统各组分关系和生态过程的普适性规律及其成因。同时,结合国内外野外实验平台介绍,在全球变化等研究领域列举了经典案例进行分析：① 全球不同气候带森林凋落物分解和碳汇功能的研究;② 中国不同陆地生态系统碳通量和碳汇功能研究;③ 中国东北样带和南北样带陆地生态系统的脆弱性与适应性研究;④ 中国北方草地样带尺度的生态系统生态学研究。主要目的是在辨析生态地理学概念的基础上指出未来发展方向,推动生态地理学的发展。     

Exploring spatial-temporal change and gravity center movement of construction land in the Chang-Zhu-Tan urban agglomeration

Urban agglomeration is caused by the continuous acceleration of the urbanization process in China. Studying the expansion of construction land can not only know the changes and development of urban agglomeration in time, but also obtain the great significance of the future management. In this study, taking Changsha-Zhuzhou-Xiangtan (Chang-Zhu-Tan) urban agglomeration in Hunan province as a study area, Landsat images from 1995 to 2014 and Autologistic-CLUE-S model simulation data were used. Moreover, several factors including gravity center, direction, distance and landscape index were considered in the analysis of the expansion. The results revealed that the construction area increased by 132.18%, from 372.28 km² in 1995 to 864.37 km² in 2014. And it might even reach 1327.23 km² in 2023. Before 2014, three cities had their own respective and discrete development directions. However, because of the integration policy implementation in 2008, the Chang-Zhu-Tan began to gather, the gravity center moved southward after 2014, and the distance between cities decreased, which was in line with the development plan of urban expansion. The research methods and results were relatively reliable, and these results could provide some reference for the future land use planning and spatial allocation in the urbanization process of Chang-Zhu-Tan urban agglomeration.

     

Simulating runoff generation and its spatial correlation with environmental factors in Sancha River Basin: The southern source of the Wujiang River

Journal of Geographical Sciences - Runoff generation is an important part of water retention service, and also plays an important role on soil and water retention. Under the background of the...     

Temporal Variations and Driving Factors of Cultivated Land Use Intensity in Shandong Province from 1980 to 2015

Based on the cost-income data of agricultural products and relevant statistical data, taking major grain crops and economic crops in the process of cultivated land use as study cases, we studied characteristics of the temporal variation of cultivated land use intensity and its composition in Shandong Province from 1980 to 2015, and then analyzed its main driving factors. The results showed that: (1) The total intensity of major crops in Shandong Province showed a rising trend from 919.73 Yuan ha^-1 in 1980 to 3285.06 Yuan ha^-1 in 2015, and the average annual intensity of economic crops was higher than that of grain crops. The labor cost and material cost of major crops both showed an increasing trend, but the material input was much higher than labor input for grain crops, while the labor input was much higher than material input for economic crops. (2) The labor intensity of major crops in Shandong Province showed a decreasing trend from 501.75 man-day ha^-1 in 1980 to 161.93 man-day ha^-1 in 2015. The labor intensity of grain crops was lower than that of economic crops and its decline rate was fast. On the contrary, the capital intensity showed an increasing trend from 518.33 Yuan ha^-1 in 1980 to 1159.95 Yuan ha^-1 in 2015. In the internal composition of capital intensity, the proportion of yield-increasing inputs such as seed, farmyard manure, fertilizer, pesticide and drainage and irrigation decreased gradually, while the proportion of labor-saving inputs such as agricultural machinery increased significantly. (3) The cultivated land use intensity in Shandong Province had significant negative correlations with the amount of agricultural labor and cultivated land area per capita. The primary direct driving factor was the net income per unit cost of major crops, but the time response lagged by 1-3 years. The main indirect driving factor was the reform of agricultural policy.     

卡里马塔海峡水体交换的季节变化

Four trawl-resistant bottom mounts, with acoustic Doppler current profilers(ADCPs) embedded, were deployed in the Karimata Strait from November 2008 to June 2015 as part of the South China Sea-Indonesian Seas Transport/Exchange and Impact on Seasonal Fish Migration(SITE) Program, to estimate the volume and property transport between the South China Sea and Indonesian seas via the strait. The observed current data reveal that the volume transport through the Karimata Strait exhibits significant seasonal variation. The winteraveraged(from December to February) transport is –1.99 Sv(1 Sv=1×10~6 m~3/s), while in the boreal summer(from June to August), the average transport is 0.69 Sv. Moreover, the average transport from January 2009 to December2014 is –0.74 Sv(the positive/negative value indicates northward/southward transport). May and September are the transition period. In May, the currents in the Karimata Strait turn northward, consistent with the local monsoon. In September, the southeasterly trade wind is still present over the strait, driving surface water northward, whereas the bottom flow reverses direction, possibly because of the pressure gradient across the strait from north to south.     

西南大西洋阿根廷滑柔鱼资源时空分布研究

通过了解西南大西洋阿根廷滑柔鱼(Illexargentinus)资源丰度年间变化规律,从而对阿根廷滑柔鱼的资源可持续开发与管理打下基础。作者根据2012～2017年西南大西洋阿根廷滑柔鱼生产统计数据,利用灰色关联评价等数理方法对西南大西洋资源渔场的时空分布特征进行了分析。结果表明,2012～2017年间西南大西洋阿根廷滑柔鱼渔场重心主要在经度上分布于58°W～63°W海域,纬度主要集中在41°～44°S、47°～48°S两个区域,高平均网次产量(10 t/网)的海域主要在57°W～67°W、41°S～42°S和57°W～67°W、44°S～50°S海域。灰色关联度表明:6年间,以2015年滑柔鱼资源状况最好,其次是2014年,2012年最差,2013年、2016年和2017年处于中间水平。利用灰色关联分析的阿根廷滑柔鱼资源丰度变化趋势可用于其资源的可持续开发与管理。     

基于浮标资料的中国东部海域最大波高特征分析

利用原国家海洋局2010—2015年的浮标资料,计算渤、黄、东海有效波高和最大波高的线性关系,并通过1992—2011年共20 a的数值模拟有效波高资料计算中国东部海域各月的2.5 m、4 m、6 m以上最大波高频率和最大波高月极值分布。结果发现:中国东部海域由北至南,最大波高与有效波高的比值逐渐增大;最大波高频率和最大波高月极值空间分布均由渤海、黄海至东海逐渐增大,最大波高频率的极值12月最大,4或5月最小,最大波高月极值9月最大,4月最小。其时空分布表明:受不同天气系统影响,夏秋季台风较多,容易出现极值较大的最大波高;秋冬季冷空气较强,虽然最大波高极值相对较小,但大浪持续时间长、频率大、影响范围广。     

太平洋副热带东部模态水的年际变化及机制研究

根据2004—2014年的全球海洋Argo网格数据集(BOA_Argo)和ECMWF ERA-Interim再分析资料,计算了冬季太平洋副热带东部海区的水团变性率及水团形成率,对南北太平洋副热带东部新生成模态水的年际变化及其形成机制进行了研究。结果表明:北太平洋副热带东部模态水(NPESTMW)和南太平洋副热带东部模态水(SPESTMW)的新生成体积及核心密度在2004—2014年具有明显的年际变化:NPESTMW主要经历了2005—2009年和2010—2013年2次持续4～5a的体积和密度增加过程,其中体积最大值出现在2009年,最小值则出现在2005和2014年。南半球SPESTMW则经历了2007—2009年和2010—2013年共两次持续3～4a的体积和密度减小过程,其中体积的最小值出现在2009、2013年,最大值出现在2010年。合成分析发现,由冬季海面热通量异常引起的深混合层内与模态水密度相当的水团表层形成率异常,可能是导致NPESTMW和SPESTMW新生成水体积年际变化的重要因素;同时,SPESTMW新生成水的年际变化受局地风应力旋度的年际变化影响明显。