Digital regionalization of geomorphology in Xinjiang

National Natural Science Foundation of China [40871177]; Project of State Key Lab of Resources and Environmental Information System [088RA304SA]; CAS Knowledge Innovation Project

Study on spatial pattern of land-use change in China during 1995-2000

It is more and more acknowledged that land-use/cover dynamic change has become a key subject urgently to be dealt with in the study of global environmental change. Supported by the Landsat TM digital images, spatial patterns and temporal variation of land-use change during 1995 -2000 are studied in the paper. According to the land-use dynamic degree model, supported by the 1km GRID data of land-use change and the comprehensive characters of physical, economic and social features, a dynamic regionalization of land-use change is designed to disclose the spatial pattern of land-use change processes. Generally speaking, in the traditional agricultural zones, e.g., Huang-Huai-Hai Plains, Yangtze River Delta and Sichuan Basin, the built-up and residential areas occupy a great proportion of arable land, and in the interlock area of farming and pasturing of northern China and the oases agricultural zones, the reclamation I of arable land is conspicuously driven by changes of production conditions, economic benefits and climatic conditions. The implementation of "returning arable land into woodland or grassland" policies has won initial success in some areas, but it is too early to say that the trend of deforestation has been effectively reversed across China. In this paper, the division of dynamic regionalization of land-use change is designed, for the sake of revealing the temporal and spatial features of land-use change and laying the foundation for the study of regional scale land-use changes. Moreover, an integrated study, including studies of spatial pattern and temporal process of land-use change, is carried out in this paper, which is an interesting try on the comparative studies of spatial pattern on change process and the change process of spatial pattern of land-use change.

The regional types of China's floating population: Identification methods and spatial patterns

With the rapid increase of the number and influence of floating population in China, it is urgently needed to understand the regional types of China's floating population and their spatial characteristics. After reviewing the current methods for identifying regional types of floating population, this paper puts forward a new composite-index identification method and its modification version which is consisted of two indexes of the net migration rate and gross migration rate. Then, the traditional single-index and the new composite-index identification methods are empirically tested to explore their spatial patterns and characteristics by using China's 2000 census data at county level. The results show: (1) The composite-index identification method is much better than traditional single-index method because it can measure the migration direction and scale of floating simultaneously, and in particular it can identify the unique regional types of floating population with large scale of immigration and emigration. (2) The modified composite-index identification method, by using the share of a region's certain type of floating population to the total in China as weights, can effectively correct the over- or under-estimated errors due to the rather large or small total population of a region. (3) The spatial patterns of different regional types of China's floating population are closely related to the regional differentiation of their natural environment, population density and socio-economic development level. The three active regional types of floating population are mainly located in the eastern part of China with lower elevation, more than 800 mm precipitation, rather higher population densities and economic development levels.

黄土高原地区耕作制度区划探讨

黄土高原地区气候类型多样、地貌特征复杂、水土流失严重,造成农业生产条件在区域上存在很大差异,因此,有必要对耕作制度进行分区,以指导该区农业生产发展。以热量(≥0℃积温)、水分(降水量、干燥度)、地貌等作为分区指标,以县(区)为基本单元,采用地理位置-地貌-水旱作-熟制的命名方法,将该区划分为10个耕作区,并描述了各区的自然与社会条件、作物类型、主要耕作方式及发展方向等。

黄土高原六盘山生态经济圈功能区规划研究

六盘山区位于黄河中上游,是黄土高原西部天然生态屏障和水源涵养区,在中国生态环境建设中具有重要战略地位。本区土地资源丰富,生态环境洁净,旱作农业潜力大,草畜业兴旺。六盘山生态经济圈规划了4个功能区和7大特色农业基地产业,以六盘山国家自然保护区为中心,加大退耕造林种草与管护力度,到2015年基本修复六盘山区受损的森林生态系统和灌丛草原植被;以旱作农业技术体系为支撑,建立高效可持续发展的生态农业系统和绿色农牧产品基地,为经济社会发展和新农村建设提供良好的生态环境和农业基础。

辽宁省生态系统评价与生态功能分区研究

生态系统评价是为了向决策者提供生态系统管理信，息而对生态系统结构、功能进行分析，并根据其变化趋势及驱动力提出相应措施的综合研究过程。生态功能分区是依据生态系统胁迫过程与效应、生态环境质量、敏感性和生态系统服务功能重要性等特征空间分异规律而进行的地理空间分区，目的是辨析区域生态环境问题与生态环境脆弱区和良好区，明确优先保护的生态系统和地区，为生态保护与建设、产业结构调整与优化及区域生态系统分区管理提供科学依据。本研究以辽宁省域生态系统为对象，在生态环境调查的基础上，分析了生态环境状况及变化趋势，进行了生态环境质量、敏感性和生态系统服务功能重要性评价，辨析了存在的生态环境问题及驱动力，明确了生态环境质量、敏感性和生态系统服务功能重要性空间分布格局，然后对辽宁省进行了生态功能区划分，并指出了各功能区生态保护与建设的重点和措施以及产业结构调整与优化的对策和方向研究结果表明，在经济和人口增长的长期胁迫作用下，辽宁省生态环境问题依然严峻，主要表现为：土地退化，地表水污染严重，森林质量下降和功能减弱，草地减少与退化并存，天然湿地萎缩，滩涂和海岸带生境恶化，生物多样性面临威胁，农业面源污染凸显，生态系统抗干扰能力下降，生态灾害加剧。全省生态环境质量超过2／3属于一般以下水平，其中优级面积仅占12.56％，良好级面积占18.71％，主要分布在东部及东南部；一般级面积占34.25％，主要分布在中部、北部和南部；较差级面积占34.48％，主要分布在西部及西北部。全省县级市及县有44个，其中生态环境质量为优的仅有4个市县，占总县数的9.09％；生态环境质量为良的有7个市县，占总县数的15.91％；生态环境质量一般的有19个市县，占总县数的43.18％，生态环境质量较差的有14个市县，占总县数的31.82％。全省处于轻度至高度敏感区域。高度敏感区占34.00％，主要分布在辽东山地丘陵、辽东半岛、辽西低山丘陵、辽西北、柳绕地区和大洼县。辽东山地丘陵、辽东半岛和辽西低山丘陵主要是土壤侵蚀高度敏感。辽西北和柳绕地区主要是土地沙漠化高度敏感。大洼县是土壤盐渍化高度敏感。中度敏感区占能．66％，与高度敏感区相间分布。轻度敏感区占3.34％，零星分布在辽东，在辽西和辽河平原也有少量分布。全省生态服务功能均处于比较重要以上。极重要地区占60.66％，基本分布在辽东、辽西和辽河平原的北部与盘锦滨海地区，辽东主要为水源涵养、生物多样性保护、土壤保持、营养物质保持，辽西主要为土壤保持、生物多样性保护、水源涵养、营养物质保持，辽北主要为土壤保持，盘锦滨海地区主要为生物多样性保护。中等重要地区占37.01%，基本分布在辽河平原，在辽东、辽西也有分布，辽河平原主要为土壤保持、水源涵养，沙漠化控制，辽东和辽西主要为土壤保持，辽西北为沙漠化控制。其它地区为比较重要地区，仅占2.33％，主要分布在辽东和辽河平原，在辽西也有少量分布，主要为土壤保持。在生态系统评价的基础上，首先根据地貌和气候划分出4个生态区，即辽东山地丘陵温带湿润半湿润生态区、辽河平原温带半湿润生态区、辽西低山丘陵温带半湿润生态区、辽南环黄渤海海岸带生态区。在明确生态区的基础上，依据生态系统类型与过程的完整性，以及生态服务功能类型的一致性，划分出21个生态亚区。依据生态环境质量、敏感性及生态服务功能重要性等的一致性，进一步划分出52个生态功能区。

关于黄土丘陵典型地区植被建设中有关问题的研究Ⅰ、土壤水分状况及植被建设区划

根据植被调查和土壤水分调查资料 ,讨论了黄土丘陵典型地区的造林的水分条件和植被地带的划分。水分不足是造林的限制因子 ,在现有天然林及人工林中普遍存在土壤干层 ,所以 ,延安研究区南部应属干旱森林区 ,北部属森林草原区。并根据土壤水分现状和植被现状 ,进行了植被建设区划 ,其划分两个一级区和两个二级区

人口空间数据误差分析研究

Spatial population data, obtained through the pixeling method, makes many related researches more convenient. However, the limited methods of precision analysis prevent the spread of spatial distribution methods and cumber the application of the spatial population data. This paper systematically analyzes the different aspects of the spatial population data precision, and re-calculates them with the reformed method, which makes breakthrough for the spread of the pixeling method and provides support and reference for the application of spatial population data. The paper consists of the following parts: (2) characters of the error; (2) origins of the error; (3) advancement on the calculating methods of the spatial population data. In the first place, based on the analysis of the error trait, two aspects of the spatial population data precision are characterized and analyzed: numerical character and spatial distributing character. The later one, placed greater emphasis on in this paper, is depicted in two spatial scales: county and town. It is always essential and meaningful to the research in this paper that spatial distribution is as important as numerical value in analyzing error of the spatial distributed data. The result illustrates that the spatial population data error appears spatially in group, although it is random in the aspect of data statistics, all of that shows there lies spatial systematic error. Secondly, this paper comes to conclude and validate the lineal correlation between the residential land area (from 1:50000 map and taken as real area) and population. Meanwhile, it makes particular analysis on the relationship between the residential land area, which is obtained from the land use map and the population in three different spatial scales: village, town and county, and makes quantitative description of the residential density variation in different topological environment. After that, it analyzes the residential distributing traits and precision. With the consideration of the above researches, it reaches the conclusion that the error of the spatial distributed population is caused by a series of factors, such as the compactness of the residents, loss of the residential land, the population density of the city. Eventually, the paper ameliorates the method of pixeling the population data with the help of the analysis on error characters and causes. It tests 2-class regionalization based on the 1-class regionalization of China, and resorts the residential data from the land use map. In aid of GIS and the comprehensive analysis of various data source, it constructs models in each 2-class district to calculate spatial population data. After all, LinYi Region is selected as the study area. In this area, spatial distributing population is calculated and the precision is analyzed. All it illustrates is that new spatial distributing population has been improved much. The research is fundamental work. It adopts large amounts of data in different types and contains many figures to make convincing and detailed conclusions.

Geographical distribution of testate amoebae in Tibet and northwestern Yunnan and their relationships with climate

In Asia, especially in China, our knowledge of the distribution of testate amoebae is still limited. In this paper, the geographical distribution of testate amoebae in Tibetan Plateau and northwestern Yunnan Plateau, southwest China and their relationships with the climatic factors have been studied. We found testate amoebae shifted in the most dominant species and increased in species (or genus) richness from northwest to southeast. Further, the linear regression analyses revealed that both species richness and genus richness have higher positive correlations with the mean temperature of the warmest month and annual mean precipitation as contrasted with the mean altitude, which showed weak negative correlation. This indicates that the temperature and precipitation are more significant influences on the richness than the altitude. The cluster analysis based on the community structure, defined by Sorenson's coefficient matrix, suggested four groups from the 10 physiographical regions. This geographical distribution pattern was also closely related with the climatic regionalization. The present climatic regionalization pattern of the study area originated from the uplift of Tibetan Plateau and mainly occurred in or after the late Pleistocene. Therefore, the geographical distribution of testate amoebae in our study area may have experienced complicated and drastic changes corresponding to the variation of the climate caused by the geological events.

Spatial patterns and driving forces of land use change in China during the early 21st century

Land use and land cover change as the core of coupled human-environment systems has become a potential field of land change science (LCS) in the study of global environmental change. Based on remotely sensed data of land use change with a spatial resolution of 1 km x 1 km on national scale among every 5 years, this paper designed a new dynamic regionalization according to the comprehensive characteristics of land use change including regional differentiation, physical, economic, and macro-policy factors as well. Spatial pattern of land use change and its driving forces were investigated in China in the early 21st century. To sum up, land use change pattern of this period was characterized by rapid changes in the whole country. Over the agricultural zones, e.g., Huang-Huai-Hai Plain, the southeast coastal areas and Sichuan Basin, a great proportion of fine arable land were engrossed owing to considerable expansion of the built-up and residential areas, resulting in decrease of paddy land area in southern China. The development of oasis agriculture in Northwest China and the reclamation in Northeast China led to a slight increase in arable land area in northern China. Due to the "Grain for Green" policy, forest area was significantly increased in the middle and western developing regions, where the vegetation coverage was substantially enlarged, likewise. This paper argued the main driving forces as the implementation of the strategy on land use and regional development, such as policies of "Western Development", "Revitalization of Northeast", coupled with rapidly economic development during this period.

Analysis of spatio-temporal dynamic pattern and driving forces of urban land in China in 1990s using TM images and GIS

China has witnessed fast urban growth in the recent decade. This study analyzes spatio-temporal characteristics of urban expansion in China using satellite images and regionalization methods. Landsat TM images at three time periods, 1990/1991, 1995/1996, and 1999/2000, are interpreted to get 1:100000 vector land use datasets. The study calculates the urban land percentage and urban land expansion index of every 1 km(2) cell throughout China. The study divides China into 27 urban regions to conceive dynamic patterns of urban land changes. Urban development was achieving momentum in the western region, expanding more noticeably than in the previous five years, and seeing an increased growth percentage. Land use dynamic changes reflect the strong impacts of economic growth environments and macro-urban development policies. The paper helps to distinguish the influences of newly market-oriented forces from traditional administrative controls on China's urban expansion. (c) 2005 Elsevier Ltd. All rights reserved.