塔里木河下游土地覆盖动态变化分析

利用80－90年代的TM影响数据，借助GIS分析了新疆塔里木河下游典型生态调查区内土地利用／土地覆盖现状及动态变化，并对塔河下游土地开发效果进行了对比分析。结果显示，耕地和城镇居住住用地的增加完全来源于对草地的开垦和对荒漠胡杨林的占用。同时，由于沙化、盐咸化等自然因素的影响和因对水资源的不合理利用所产生的土壤次生盐渍化的共同作用，控制着区内生态环境不断恶化的总体态势。     

新疆土地生态环境问题与对策

土地生态环境是人类生存发展的基本条件,是经济、社会发展的基础.在当前的经济形势下,包括水土流失、土壤盐碱化、植被破坏等一系列土地荒漠化问题以及由于荒漠化而造成的生物多样性受损引起人们的广泛关注.为了实现经济的可持续发展目标,加强新疆的综合竞争能力,在区域开发过程中要注重土地生态环境建设.本文对新疆土地生态环境现状与存在的问题进行分析,阐明了土地生态环境恶化的原因,提出土地生态环境建设的对策.     

我国中西部地区土地资源利用与农业可持续发展

我国中西部地区幅员辽阔，拥有丰富的生物和矿产资源。随着西部大开发战略的实施以及我国“十五”计划和2010年远景发展目标的提出，西部的发展越来越成为世人瞩目的焦点，如何利用中西部地区丰富的土地资源，以实现该地区农业的可持续发展是本文关注的话题。提出了中西部地区土地资源的基本特点及其制约经济发展的客观原因，并提出了保护和开发中西部地土地资源的几种可行性手段。     

湟水流域土地资源环境承载力分析

以湟水流域为研究区，从生态敏感性、土地利用生态适宜性角度分析流域土地资源利用合理性，以生态用地为约束评价土地资源环境承载能力。结果表明：流域内中度敏感区占比最高，为4170%，主要处于以高、中覆盖度草地、林地、水域及未利用土地为主的浅山区和脑山区的相交区域；高度敏感区占比1513%，集中分布于以林地为主的脑山区。9887%的城乡工矿居民用地处于非敏感区和一般敏感区内，流域内城乡建设用地类型空间布局总体上与生态环境相适应，布局合理；水域、高覆盖度草地和林地的改变会对生态环境造成很大影响，不适宜开发利用。     

面向生态监测与管理的国家级土地生态分类方案研究

遥感能够为生态监测和管理提供有用的技术手段,能够实现生态的持续、快速、动态监测。土地生态分类体系是实现生态遥感的基础。目前世界上已有的土地分类系统基本是从土地利用/土地覆盖或资源调查的角度设计的,尚不能满足宏观生态和管理的需求。该研究提出的面向生态监测与管理的国家级土地生态分类方案就是为了满足这种需求而设计的。     

内蒙古土地盐渍化典型区域动态监测研究

对内蒙古的巴盟河套、中西部草原区和科尔沁沙地土地盐渍化 1 987至 1 997年 1 0年间的动态变化趋势进行监测。结果表明 :巴盟河套地区盐渍化呈上升趋势 ;中西部草原区盐渍化呈下降趋势 ;科尔沁沙地土地盐渍化现象日趋严重。     

污水土地处理系统中干湿周期的室内模拟实验研究

利用甘肃省西部荒漠地区的砂土样，对城市生活污水进行渗滤度验，探明了该地区土壤的渗透特性及其变化规律，从而为城市污水的土地处理及再利用提供了较为可靠的理论依据。     

安宁河流域土地生态安全动态评价与预测

基于GIS空间分析技术结合CA Markov预测模型,对安宁河流域2000—2018年的土地生态安全进行动态评价及预测。结果表明：安宁河流域土地生态安全指数由北向南递增,垂直差异显著;研究期内预警和风险总占比由27.72%下降至23.84%,良好和安全面积总占比由46.11%上升至51.49%;2000—2018年安宁河流域土地生态安全综合指数呈上升趋势,土地生态发展态势良好;预测结果显示,流域土地生态安全状况将持续好转。安宁河流域土地生态安全虽然总体水平有较大提高,但仍须加强对生态环境的治理力度,推进土地生态安全的可持续发展。     

美设“超级基金”治理土地污染环境经济双赢

土地污染在全世界范围内都是日益严重的环境问题，不但威胁公众健康，也制约地方经济发展。为解决这一环境“顽疾”，美国早在20世纪80年代就建立起相应的制度，利用法律和财政手段确保受污染土地得到有效治理。     

和田市土地利用结构变化研究

我国正处在城市化急速发展的时期。城市从数量、规模等各方面都在膨胀，这给城市土地利用带来了一系列问题。本文在综合分析和田市城市土地利用现状和未来发展要求的基础上，为解决人类在高强度经济活动中，特别是在农村经济建设和城乡建设快速发展的条件下。针对如何解决土地资源的合理利用、环境恶化及持续发展之间的矛盾。提出了和田市未来合理开发利用土地资源、产业结构的调整、城市功能区的布局和进行城市建设等方面可行性方案。     

Land use/land cover change and their effects on landscape patterns in the Yanqi Basin, Xinjiang (China)

Human modification of land use and land cover change (LUCC) drives the change of landscape patterns and limits the availability of products and services for human and livestock. LUCC can undermine environmental health. Thus, this study aimed to develop an understanding of LUCC in the Yanqi Basin, Xinjiang, China, an arid area experiencing dramatic water and land resource use. A time series of satellite images (1964, 1973, 1989, 1999, and 2009) were used to calculate the index of landscape patterns to study the processes involved in changes to land uses and landscape patterns and the influence of this changes on landscape patterns. The results show that land uses in the Yanqi Basin have changed dramatically since 1964 with grassland being mainly converted to cropland. Landscape fragmentation and diversity have decreased in the study area, although landscape fragmentation increased from 1964 to 1999 and then decreased by 2009. The index of landscape diversity decreased from 1.64 in 1964 to 0.71 in 2009. The heterogeneity and complexity of the landscape increased during this period. In contrast, the index of dominance decreased from 0.85 in 1964 to 0.83 in 2009. Land use change drives landscape patterns of the development of the watershed toward diversity and a fragmented structure. Population growth, economic development, and industrial policies were the dominant driving forces behind LUCC in the Yanqi Basin. Sustainable use of land resources is a significant factor in maintaining economic development and environmental protection in this arid inland river basin.     

Governmental policies drive the LUCC trajectories in the Jianghan Plain

The prosperity of farmers is closely tied to governmental policies. The Jianghan Plain is an important region for commodity grains, cotton and edible oil for China. The trajectories of land use and land cover change (LUCC) of the study area from 1995 to 2010 were studied based on the LUCC database of the Chinese Academy of Sciences. The LUCC was characterised by a continuous decrease of arable land and continuous increase of waters and construction land. The LUCC was obviously concurrent with the implementation of related national policies. The transition to construction land was ever well controlled by ‘Notice regarding the further strengthening of land management and arable land protection’ promulgated in 1997. However, it flourished again with the ‘Rise of Central China Strategy’ taking effect since 2006. The transition of construction land to others reflects an uncommon trend, which must be strengthened with the strict implementation of the overall plan, which imposes a limited acreage quota of construction land to each district. The policies were quite contradictory to the transition of waters. LUCC related to waters is most active, which was driven by both natural forces and national policies. Just after the devastating flood of 1998, the state council of China put forward the Green Policy to govern the major rivers. As to the study area, it is mainly to ‘push over dykes to let flood through and return farmland to lakes’. In 2004, the Grain Direct Subsidy Policy was implemented, which, along with the surge in the price of rice, resulted in a strengthening trend of conversion of ponds to paddy fields.     

Landscape-based upstream-downstream prevalence of land-use/cover change drivers in southeastern rift escarpment of Ethiopia

Characterized by high population density on a rugged topography, the Gedeo-Abaya landscape dominantly contains a multi-strata traditional agroforests showing the insight of Gedeo farmers on natural resource management practices. Currently, this area has been losing its resilience and is becoming unable to sustain its inhabitants. Based on both RS-derived and GIS-computed land-use/cover changes (LUCC) as well as socioeconomic validations, this article explored the LUCC and agroecological-based driver patterns in Gedeo-Abaya landscape from 1986 to 2015. A combination of geo-spatial technology and cross-sectional survey design were employed to detect the drivers behind these changes. The article discussed that LUCC and the prevalence of drivers are highly diverse and vary throughout agroecological zones. Except for the population, most downstream top drivers are perceived as insignificant in the upstream region and vice versa. In the downstream, land-use/cover (LUC) classes are more dynamic, diverse, and challenged by nearly all anticipated drivers than are upstream ones. Agroforestry LUC has been increasing (by 25% of its initial cover) and is becoming the predominant cover type, although socioeconomic analysis and related findings show its rapid LUC modification. A rapid reduction of woodland/shrubland (63%) occurred in the downstream, while wetland/marshy land increased threefold (158%), from 1986 to 2015 with annual change rates of -?3.7 and +?6%, respectively. Land degradation induced by changes in land use is a serious problem in Africa, especially in the densely populated sub-Saharan regions such as Ethiopia (FAO 2015). Throughout the landscape, LUCC is prominently affecting land-use system of the study landscape due to population pressure in the upstream region and drought/rainfall variability, agribusiness investment, and charcoaling in the downstream that necessitate urgent action.     

不同土地利用类型作物中多环芳烃含量调查

文章调查了江苏苏州某典型生态示范区内,多环芳烃在不同土地利用类型和各种作物的富集、迁移、转化情况并进行比对、分析,确定不同土地利用类型中作物多环芳烃污染水平不同;不同作物对多环芳烃的富集效率不同;同一作物的不同组织(器官)多环芳烃含量也不同,初步分析了多环芳烃在水-土-气各介质之间的迁移富集规律.为推进江苏"生态省"建设与可持续发展提供一定的技术参考依据.     

Spatial Validation of Land Use Change Models Using Multiple Assessment Techniques: A Case Study of Transition Potential Models

Using land use and cover change (LUCC) models for the urban growth planning, environmental assessment, and decision-making needs the establishment of an appropriate level of confidence in their performance. The objective of this research is to explore the importance of using multiple assessment techniques in order to fairly evaluate the performance of land use models. An application is conducted by using the Land Change Modeler for Ecological Sustainability (LCM) which is an empirical and transition potential model. LCM is applied to model the agricultural to developed areas transition in Rennes metropolitan area (France). The land demand is estimated using the Markov Chain model; whereas, the transition potential map is implemented using the Multi-Layer Perceptron Neural Network (MLP) method based on historical changes and driving variables. The model performance is assessed based on a variety of the most commonly used validation techniques. At the study area level, the correctness and disagreement analysis shows that LCM performs better at predicting the amount than the allocation of developed areas. Additionally, landscape metrics reveal that LCM tends to predict a fragmented urban form, which seems evident because of the large number of the individual urban patches. At the municipality level, the error budget analysis shows that the model performance, which varies highly between different subareas, needs to be improved. Moreover, the cross-tabulation between the transition potential map and both the observed and the predicted agricultural to developed areas transitions reveals that the order of the transition potential values does not perfectly fit the observed change; whereas, the predicted change is not solely limited to areas with high potential.     

Application of geographically weighted regression model to analysis of spatiotemporal varying relationships between groundwater quantity and land use changes (case study: Khanmirza Plain,Iran)

Understanding the spatiotemporal relationships between land use/cover changes (LUCC) and groundwater resources is necessary for effective and efficient land use management. In this paper, geographically weighted regression (GWR) and ordinary least squares (OLS) models have been expanded to analyze varying spatial relationships between groundwater quantity changes and LUCC for three periods: 1987–2000, 2000–2010, and 1987–2010 in the Khanmirza Plain of southwestern Iran. For this purpose, TM images were used to generate LUCC (rainfed, irrigated, meadow, and bare lands). Groundwater quantity variables, including groundwater level changes (GLC) and groundwater withdrawal differences (GWD), were gathered from piezometric and agricultural wells data. The analysis of spatial autocorrelation (Moran’s I and local indicators of spatial association ) demonstrated that GWR has a better ability to model spatially varying data with very minimal clustering of residuals. The results R ² and corrected Akaike’s Information Criterion parameters revealed that the GWR has the lowest similarity in space and time in neighboring situations and it has the high ability to explain more variance in the LUCC as a function of the groundwater quantity changes. All results of the distribution of local R ² values from GWR confirm our assertion that there is a spatiotemporal relationship between types of land use and each of groundwater quantity variables within the region. According to the t test results from GWR, there are significant differences between the GLC and GWD and the land use types in different places of region in each of the three time series. The GWR results can help decision-makers to make appropriate decisions for future planning.     

泰州全市及生态红线区“十二五”土地利用变化探究

以土地利用转移矩阵为基础,通过计算土地利用净变化量、交换变化量和绝对变化总量,对泰州市及生态红线区2010—2014年土地利用空间变化特征做分析。结果显示:耕地转化为建设用地及水域湿地景观为主要变化趋势,生态红线区域内土地开发利用受到较严格的限制,保护措施成效较好,其自然生态环境得到持续的修复和改善。     

Assessing implications of land use and land cover changes in forest ecosystems of NE Turkey

Monitoring land use and land cover change (LUCC) and understanding forest cover dynamics is extremely important in sustainable development and management of forest ecosystems. This study analyzed the spatial and temporal pattern of LUCC in the Yaln?zçam and U?urlu forest planning units which are located in the northeast corner of Turkey. The investigation also evaluates the temporal changes of the spatial structure of forest conditions through the spatial analysis of forest-cover type maps from 1972 and 2005 using geographical information systems and FRAGSTATS^TM. As an overall change between 1972 and 2005, there was a net increase of 1,823 ha in forested areas, and cumulative forest improvement accounted for 2.06 %. In terms of spatial configuration, the landscape structure in the study area changed substantially over the 33-year study period, resulting in fragmentation of the landscape as indicated by large patch numbers and smaller mean patch sizes, owing to heavy grazing, illegal cutting, and uncontrolled stand treatments.     

伊犁河(中国段)水质模糊综合分析

根据伊犁河 (中国段 )多年水质监测资料 ,运用模糊数学方法分析伊犁河水质模糊综合指数的时空分布特征及其相关关系 ,掌握了伊犁河 (中国段 )水质现状和污染状况。