基于景观指数的新疆生产建设兵团生态环境变化

在遥感与地理信息系统技术支持下,以兵团2000、2005、2010年3期TM影像和HJ1A-CCD1影像为主要数据源,研究了兵团景观空间格局变化特征。结果表明,兵团景观类型从2000—2010年发生了较大变化,农田和城镇面积显著增加,草地、灌丛和冰川(永久积雪)显著减少。城镇景观受人为活动干扰强度最大。分析认为,人口和农业机械化是影响农田景观的主要驱动因素,经济发展和小城镇建设是影响城镇景观格局的主要因素,而政策导向是调节兵团景观格局变化的有效途径。     

近40年洞庭湖区地表景观演变及气候潜在响应特征

通过耦合多源遥感数据，研究1980—2015年洞庭湖区地表景观格局演变及其潜在气候响应特征。结果表明，洞庭湖区土地利用类型以耕地为主，占总面积63.67%；水体次之，占23.75%；草地最少,占0.15%。1980年以来耕地面积剧烈减少，减少342.71 km2；建设用地和水体面积呈上升趋势，分别增加278.16 km2和132.55 km2；土地利用转化方式以耕地向建设用地转化为主，转化面积232.70 km2；区域地表景观进一步破碎与复杂化。相关性分析表明，土地利用变化与降水相关性较弱，而与气温呈较显著的相关关系。此外，区域景观格局演变与气温上升呈较强的正相关关系。     

基于多时相遥感数据的典型区生态格局变化分析

利用1985、2000、2013年遥感影像提取的土地覆盖数据,通过景观格局指数、动态度计算、转移矩阵等,分析1985—2013年我国典型地区各类型生态系统景观格局及其动态变化特征、生态系统相互转化时空变化特征等,揭示1985—2013年生态环境格局变化的特点和规律:一级分类生态系统综合变化率,赣江、闽江、白龙江和岷江上游流域分别为4.7%、3.9%、3.3%和1.7%,生态系统变化强度1985—2000年较缓,2000—2013年更剧烈。1985—2013年典型区生态系统的主要转化方向具有持续性和双向性特征,岷江、白龙江和赣江上游流域退耕还林还草政策效果明显,出现较高比例的耕地转为森林和草地;面积占67.4%生态系统类型变化与耕地生态系统和人工表面生态系统变化有关;生态系统变化具有明显的区域差异,生态变化主要表现为沿主要河流谷地的线状延伸,主要城镇居民点附近生态系统类型变化较为突出,人类活动是典型地区生态系统类型格局变化的主要驱动力;典型区尤其是敏感区应加大退耕还林还草政策,减少人类经济活动,降低洪水泥石流灾害发生的概率和程度。     

贵州省土地利用结构动态演变分析

根据贵州省2009~2014 a两期的Landsat系列遥感影像为基础,通过"3S"技术结合遥感野外核查手段获得贵州省2009~2014 a的土地利用数据,采用土地利用结构的变化强度指数和土地利用变化的速度指数分析贵州省5 a来的土地利用变化情况。研究表明:从土地利用结构变化来看,灌木林地、草地、旱地占主导。从土地利用变化的速度指数来看,水域和建设用地的变化速度最快,其次是未利用地和有林地。从土地利用结构的变化强度指数来看,有林地、水域、建设用地面积明显增加,草地、疏林地、灌木林地面积明显减少,其他土地利用类型面积变化幅度不大。从土地利用的转化来看,减少的草地主要转化为灌木林地、旱地、有林地、疏林地;减少的疏林地主要转化为灌木林地、有林地、旱地、草地;减少的灌木林地主要转化为旱地、有林地、草地、疏林地。     

基于TM影像的县级土地利用动态监测

以1988、2000、2008年TM遥感影像为数据源,利用GIS技术,获得高淳县土地利用动态变化。结果表明,20年间耕地面积明显减少,水域和建设用地大幅增加,而面积的增加主要是通过占用耕地来实现平衡的。城镇人口和经济的快速增长,产业结构的调整优化和城镇规划变革促进了高淳县土地利用变化。     

青岛市生态空间遥感监测与评价

从生态空间的监管需求出发,利用高分辨率卫星数据获取不同生态系统类型的分布状况,分析2012—2017年青岛市生态空间的演变格局,从水源涵养、水土保持、生物多样性维护3个方面评价青岛市生态空间的服务功能变化情况。结果表明:2012—2017年,青岛市生态空间的生态系统结构变化明显,主要表现为森林和城镇面积显著增加,草地、农田、裸地及海洋面积明显减少;水源涵养、水土保持、生物多样性维护功能的生态状况指数的增长率分别为2.63%、0.36%、2.55%,说明生态空间的生态系统服务功能得到提升,生态状况总体呈变好趋势。     

2007—2017年三亚城市景观空间格局动态特征及驱动因素分析

应用2007—2017年期间4个时间点的遥感影像数据，选取典型景观格局指数，对三亚市的景观空间格局动态特征进行分析，探求其驱动因素。研究表明：近十年来，三亚市内同种土地利用类型的空间聚集程度降低，空间分布逐渐趋向于分散，不同类型的土地之间相互融合度较高，形状趋于复杂化，景观类型分布趋势呈均衡化，景观的破碎化程度加强，景观复杂程度增高，土地利用的丰富程度逐渐加强。通过驱动因素分析，国家政策的导向、城市总体规划的实施、产业结构调整及自然环境的变化是影响三亚城市景观空间格局变化的主要驱动因素。     

干旱区内陆湖泊流域景观格局变化及其对生态环境的影响

以我国干旱区典型内陆湖泊流域——新疆艾比湖流域为研究区，对其平原区1990--2005年的景观格局动态变化特征进行了研究。结果表明，1990--2005年，研究区农田、湿地及人居地景观的面积增加，其中以农田景观的面积增加量最大；而林地、草地、沙地、戈壁和盐碱地景观的面积呈减少趋势，其中草地、盐碱地和林地景观面积减少较多；各景观类型中以盐碱地、林地、草地和戈壁的转出率较高，而以农田、人居地的转入率较高；研究区景观组份构成没有大的变化，戈壁依然是研究区景观的基质。景观格局变化对区域生态环境的影响主要表现为：农田斑块数量和面积的增加，加大了区域水资源利用压力；林地、草地斑块面积减少，使得平原区绿洲遭受风沙的危害性增大；沙地、戈壁和盐碱地面积减少，使绿洲不同区域生态环境呈现不同变化特征；湿地斑块面积略有增加，对减少艾比湖流域沙尘危害较为有利。     

淮北中湖采煤沉陷区治理前后景观格局变化研究

基于淮北中湖采煤沉陷区2005年、2014年和2018年的遥感影像进行地表景观解译,研究治理前后该区景观格局变化特征及生态效应。结果表明:治理前,该区耕地破碎化加剧、景观优势最大并持续减弱,沉陷积水区水体呈聚集化趋势;治理后,景观基质由耕地变为水体,林地、草地面积显著增加且景观优势上升,人工湖泊水体聚集程度高。区域景观破碎化减弱且中部比西北部破碎化程度低,景观蔓延度较稳定,景观多样性增加,边缘正效应增强,生态环境质量上升。在资源枯竭型矿区城市的生态治理中要合理优化水-陆景观格局,改善生态系统结构,减缓城市发展中的景观破碎化。     

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。     

平顶山地区景观格局动态特征及驱动力分析

以平顶山地区为研究对象,利用平顶山地区1992年Landsat-TM影像和2006年中巴资源卫星遥感影像,运用景观生态学原理,借助遥感和GIS技术,选取景观多样性、景观优势度、景观均匀度、景观破碎度等指标指数进行分析,揭示平顶山地区近14 a来城市景观格局演变及其驱动力。研究结果表明:交通用地、工矿及居民点和耕地用地显著增加,林地、水域显著减少;除工矿及居民点外,该地区各类型斑块数量均有增加,其中林地增加最为显著;交通用地、工矿及居民点的破碎度降低,水域、林地、耕地的景观类型破碎度增高;耕地的分维数、形状指数呈下降趋势,而林地的分维数和形状指数呈上升趋势;平顶山地区景观多样性和均匀度都呈下降趋势,而优势度和破碎度增加;景观格局变化受人为因素影响较大,人口增加、经济发展、城镇化和工业发展是平顶山地区景观格局演变的主要驱动力。     

南通市生态环境遥感监测及其动态变化研究

应用遥感技术对南通市生态环境进行监测,利用GIS技术对遥感监测结果进行解译与分析,同时对2006-2009年南通市生态环境时空动态变化进行了分析与评价.结果表明,南通市生态环境类型以耕地、水域和城乡、工矿、居民用地为主,未利用土地面积极小.其生态环境动态变化的主要特点是耕地面积普遍有小幅度减少,以城镇建设用地为主的城乡、工矿、居民用地增加较多,林地面积无明显变化；未利用土地面积有所减少,以盐碱地面积减少为主,减少的面积主要用于耕地和建设用地.     

扬州市土地利用与覆盖的遥感监测

应用遥感技术监测分析扬州市2009—2012年土地利用与覆盖状况。结果表明，扬州市土地利用及覆盖以耕地、城乡工矿居民用地及水域为主，主要生态红线区土地覆盖类型未发生人为改变，生态环境状况总体良好，呈略有改善的态势。提出，应坚持开展污染治理和生态建设，优化发展空间，统筹城乡建设用地管理。     

Examining Relationships Between Socioeconomic Factors and Landscape Metrics in the Southern Basin of the Caspian Sea

Socioeconomic forces are not only among the main drivers of landscape dynamics; they are also influenced by landscape patterns. Landscape structure and functions are closely related to natural and social factors. The objective of this study was to investigate the relationships among some human-related factors and landscape ecological metrics as landscape pattern indicators and to identify suitable metrics for modeling these relationships. To this goal, landscape ecological metrics were calculated for each of the 32 counties of Mazandaran and Guilan provinces located in the southern basin of the Caspian Sea using land use/cover maps in class level. Stream network metrics were calculated using a digital elevation model, road density metrics were calculated using map of main roads separately, and significant metrics were selected according to results of correlation tests and factor analysis. The correlations between these metrics and socioeconomic factors were tested, and their relationships were modeled with multiple linear regressions. Significant relationships were found among socioeconomic factors and landscape ecological metrics, and land use/cover data are applicable for modeling socioeconomic factors, especially demographic and employment structure factors. Among the landscape metrics applied in this study, road density, mean patch size, mean nearest neighbor distance, and percentage of a land use/cover class in landscape were important metrics for predicting socioeconomic factors. Our findings indicated that road density metric and percentages of urban class are useful for predicting urban socioeconomic factors and percentage of agriculture and forest classes in the landscape are suitable metrics for predicting rural socioeconomic factors.     

Did the ecological engineering have a great impact on the land use change?

Overuse of land resources has increasingly contributed to environmental crises in China. To mitigate widespread land degradation, actions have been taken to maintain and restore the ecological environment through efforts such as ecological engineering. By analyzing trends in land use, the impact and effectiveness of ecological engineering can be determined. In this study, such changes in Huanjiang County in China were considered. In the early 1990s, an eco-immigration policy and “returning farmland to forest program” were implemented in the county, drastically impacting land use. Land use/land cover changes were detected and analyzed using remote sensing data recorded over 4 years (1995, 2000, 2005, and 2010). Land transfer flow and the rate of land use change elucidated the extent of changes, while nuclear density analysis indicated spatial agglomeration. The results indicate that, over a period of 15 years, farmland area increased, while forest area decreased initially before subsequently increasing. From 1995 to 2000, the highest transfer flow was observed in the grassland to farmland conversion (79.34%). From 2000 to 2005, the transfer flow of conversions was the highest for forest to farmland (56.79%). Land use changes were not prominent from 2005 to 2010. Direct drivers of land use change exert obvious impacts on land use, and indirect drivers impact direct drivers that are then channeled through direct anthropogenic drivers (e.g., land use policies). We found that ecological engineering has a very significant impact on land use change, and that impact varies from region to region.     

基于形态空间格局分析方法和最小累积阻力模型的北京市平原区造林工程生态格局分析

为了科学评估北京市平原区造林工程的生态影响，利用高分卫星数据获取2018—2020年北京市平原区造林面积、分布及变化信息，分析了造林工程的空间格局特征，并采用形态空间格局分析(MSPA)方法及最小累积阻力(MCR)模型，构建了北京市平原区生态网络，通过情景模拟分析造林工程对生态源地、生态廊道产生的影响。结果显示，2018—2020年北京市平原区造林工程主要沿西北东南方向实施，实现了对原有林地资源分布不均衡问题的解决。热点建设区域为北部的延庆及东南部的通州、大兴，呈现由城市边界逐步向市中心蔓延的发展趋势。在不考虑其他因素对土地利用的影响的前提下，造林工程的实施使平原区林地面积增长了9.8%。通过情景模拟发现，造林工程的实施使生态网络向连通、完整、均衡方向发展。其中，生态源地面积增长了131.0 km²,主要生态源地连通性提升了41.1%,生态廊道的分布由主要分布在西北部山区向西北、东南两个方向均有密集分布转变。综上，造林工程的生态环境效应显著，造林工程的实施对生态环境质量改善具有重要意义。     

Seasonal variations in the relationship between landscape pattern and land surface temperature in Indianapolis, USA

This paper intended to examine the seasonal variations in the relationship between landscape pattern and land surface temperature based on a case study of Indianapolis, United States. The integration of remote sensing, GIS, and landscape ecology methods was used in this study. Four Terra's ASTER images were used to derive the landscape patterns and land surface temperatures (LST) in four seasons in the study area. The spatial and ecological characteristics of landscape patterns and LSTs were examined by the use of landscape metrics. The impact of each land use and land cover type on LST was analyzed based on the measurements of landscape metrics. The results show that the landscape and LST patterns in the winter were unique. The rest of three seasons apparently had more agreeable landscape and LST patterns. The spatial configuration of each LST zone conformed to that of each land use and land cover type with more than 50% of overlap in area for all seasons. This paper may provide useful information for urban planers and environmental managers for assessing and monitoring urban thermal environments as result of urbanization.     

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.