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。     

基于遥感技术的生态保护红线区域监测与评价

从生态保护红线区域监管需求出发,利用遥感技术建立生态保护红线区域监测方法,并采用生态保护红线区域自然生态系统构成及变化、生态景观平均斑块面积变化和NDVI植被指数变化3个评价指标,对江苏省盐城沿海地区2012-2013年各类型生态保护红线区域生态环境变化进行了评价.结果表明,水源水质保护和生物多样性保护红线区域生态环境质量综合指数相对较高;桑蚕品种多样性保护红线区域自然生态系统类型占比较低,生态景观较为破碎,生态环境质量综合指数相对较低;大部分生态红线区域生态环境质量保持稳定.     

基于遥感技术的生态保护红线区域监测与评价——以盐城沿海地区为例

从生态保护红线区域监管需求出发,利用遥感技术建立生态保护红线区域监测方法,并采用生态保护红线区域自然生态系统构成及变化、生态景观平均斑块面积变化和NDVI植被指数变化3个评价指标,对江苏省盐城沿海地区2012—2013年各类型生态保护红线区域生态环境变化进行了评价。结果表明,水源水质保护和生物多样性保护红线区域生态环境质量综合指数相对较高;桑蚕品种多样性保护红线区域自然生态系统类型占比较低,生态景观较为破碎,生态环境质量综合指数相对较低;大部分生态红线区域生态环境质量保持稳定。     

新疆伊犁州2000～2005年生态环境质量变化评价与分析

利用Landsat-5 TM遥感影像解译的土地利用数据分析了新疆伊犁州(州直辖)2000～2005年的土地利用变化,同时根据<生态环境状况评价技术规范>(试行)(HJ/T192-2006),对该区域生态环境质量状况进行综合评价,对生态环境指标变化情况进行对比分析.结果表明,2000～2005年伊犁州的生态环境质量均为一般,生态环境质量指数(E1)减少0.71.主要原因为草地面积明显减少,耕地面积明显增加.     

基于TM影像的桂林市植被覆盖时空动态监测与分析

以西部地区中等规模城市——桂林市为例,利用1991、2006年两期TM卫星影像数据,在对原始数据预处理的基础上,提取归一化植被指数(NDVI)。依据混合像元二分模型,生成桂林市所辖5城区的两期植被覆盖度监测分类图像,对区域植被覆盖状况进行时空动态变化分析。结果表明,1991年~2006年间,城市植被覆盖区面积总体呈现下降趋势;在划分的3类植被覆盖类型中,低植被覆盖区面积减少幅度最为明显,中、高植被覆盖区面积有不同程度增长;低植被覆盖区主要分布在城市建成区与一些村镇外围区域,中、高植被覆盖区集中分布在城市远郊地带。此外,随着城市化的迅速发展,城乡各类建设用地面积不断增加,城市边缘地带的绿色植被正逐步被人工景观所取代。     

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。     

基于PSO-PPE模型的黑龙江省水资源生态安全探析

针对黑龙江省水资源生态环境现状,构建以水资源、社会经济、生态环境为子系统的水资源生态安全评价指标体系。运用粒子群算法(PSO)优化投影寻踪评价模型(PPE),对黑龙江省水资源生态安全进行研究。结果表明,该地区2003—2016年水资源生态安全整体呈现上升趋势。水资源污染指数和工业万元产值耗水量等指标状态的极大改善,使得2009、2013年水资源生态安全程度分别较前一年增加67.16%和98.76%。2003—2016年水资源、生态环境系统发展波动较大,前者略有降低,后者上升,社会经济系统(权重为0.426 5)发展最为迅速且对水资源生态安全影响最显著。对水资源生态安全影响最显著的指标有人均湿地面积、农业万元产值耗水量、水资源污染指数、工业用水比例、工业万元产值耗水量。该评价结果可为当地政府及环保部门制定政策提供理论参考。     

基于RS与GIS的水土保持生态功能区生态状况评估

以河南省大别山水土保持国家重点生态功能区为研究区,基于RS与GIS获取2012年和2017年研究区植被覆盖、土地利用、土壤侵蚀等遥感解译数据,从生态功能、生态结构和生态压力3个方面,采用综合指数法,对研究区生态状况进行动态监测与评价。结果表明,2012—2017年间,研究区土地利用结构发生较明显的变化,林草地覆盖率上升9.85%,耕地和建设用地面积比上升13.23%,水域湿地面积比变化不大;植被覆盖指数上升 62.74%,中度以上土壤侵蚀面积比略有增加;生态状况变化度ΔF=4.95,整体生态状况等级由良变为优,生态状况变化度评级为显著变好。     

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。     

2005-2011全国酸雨状况分析

根据全国酸雨监测网2005-2011年的监测数据对全国酸雨状况进行分析,得出全国酸雨城市比例、酸雨发生频率及酸雨覆盖面积总体均呈降低趋势,但酸雨形式依然严峻,酸雨类型仍以硫酸型酸雨为主,硝酸盐对降水酸度的贡献逐年增加。与2005年相比,全国硫沉降通量总体呈现下降趋势,硝酸根沉降通量略有增加。中国降水pH年均值与美国、日本及其他东亚酸沉降监测网成员国相当,但主要致酸离子的酸沉降通量处于较高水平。     

Landscape ecological security assessment based on projection pursuit in Pearl River Delta

Regional landscape ecological security is an important issue for ecological security, and has a great influence on national security and social sustainable development. The Pearl River Delta (PRD) in southern China has experienced rapid economic development and intensive human activities in recent years. This study, based on landscape analysis, provides a method to discover the alteration of character among different landscape types and to understand the landscape ecological security status. Based on remotely sensed products of the Landsat 5 TM images in 1990 and the Landsat 7 ETM+ images in 2005, landscape classification maps of nine cities in the PRD were compiled by implementing Remote Sensing and Geographic Information System technology. Several indices, including aggregation, crush index, landscape shape index, Shannon’s diversity index, landscape fragile index, and landscape security adjacent index, were applied to analyze spatial–temporal characteristics of landscape patterns in the PRD. A landscape ecological security index based on these outcomes was calculated by projection pursuit using genetic algorithm. The landscape ecological security of nine cities in the PRD was thus evaluated. The main results of this research are listed as follows: (1) from 1990 to 2005, the aggregation index, crush index, landscape shape index, and Shannon’s diversity index of nine cities changed little in the PRD, while the landscape fragile index and landscape security adjacent index changed obviously. The landscape fragile index of nine cities showed a decreasing trend; however, the landscape security adjacent index has been increasing; (2) from 1990 to 2005, landscape ecology of the cities of Zhuhai and Huizhou maintained a good security situation. However, there was a relatively low value of ecological security in the cities of Dongguan and Foshan. Except for Foshan and Guangzhou, whose landscape ecological security situation were slightly improved, the cities had reduced values in landscape ecological security, with the most decreased number 0.52 in Zhaoqing. Results of this study offer important information for regional eco-construction and natural resource exploitation.     

Analysis of patterns and ecological security trend of modern oasis landscapes in Xinjiang, China

Ecological security has become so important that it will affect the national security and social sustainable development. In this paper, a case study on the ecological security indexes of modern oasis landscapes in Beitun Oasis, Xinjiang, was carried out. The spatial neighbouring parameters, such as the contiguous length, measure of area and patch quantity of oasis landscape patches, affected by desert landscape patches were calculated by using GIS-based buffer analysis, the method of calculating ecological security indexes of oasis landscape was developed, and the dynamic changes of patterns and ecological security indexes of the oasis landscapes since recent 30 years were analyzed. The results showed that soil salinization or alkalization and paludification were major factors affecting the ecological security in Beitun Oasis. Therefore, measures should be taken actively to prevent and control secondary salinization and paludification. The ecological security indexes of the oasis landscape in 1972, 1990 and 2005 were 78.91, 82.28 and 83.86, respectively, which showed the degree of security is improving, and the environment was developing harmoniously between human and nature. The methods of evaluating ecological security based on the spatial neighbouring relations between landscape patches can be used to reflect preliminarily the ecological security patterns of landscapes.     

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.     

The land ecological evolutional patterns in the source areas of the Yangtze and Yellow Rivers in the past 15 years, China

Based on land ecological classification of the source regions of the Yangtze and Yellow Rivers and field investigation, two phases of TM remote sensing data obtained in 1986 and 2000 were compared. From spatial variations and type transformation trends, the spatial changes and evolutional patterns of land ecosystem in the source regions of the two rivers were analyzed using the analytical method of landscape ecological spatial patterns. Results show that middle and high-cover high-cold steppe areas degraded considerably by 15.82%, high-cover high-cold meadow areas by 5.15%, while high-cold swamp meadow areas decreased by 24.36%. Lake water area was reduced by 7.5%, especially the lakes in the source region of the Yangtze River. Land desertification is developing rapidly and the average of desertified land area has increased by 17.11%. Desertified land in the source region of Yellow River is expanding at an annual rate of 1.83%. Analysis of the evolutional pattern of land ecotypes shows that the general tendencies of spatial evolution in the regions are coverage reduction and desertification of high-cold steppe, cover reduction and steppification of high-cold meadows, and desiccation of swamp meadows. As a result, land ecological spatial distribution pattern in the region is changing and the state of eco-environment declining.     

Landscape ecological planning through a multi-scale characterization of pattern: studies in the Western Ghats,South India

This article analyzes landscape pattern in the WesternGhats mountain ranges in south-western India at two scales,comparing small-scale, detailed studies of landscapepattern, with broader, regional-scale assessments of theWestern Ghats. Due in large part to their inaccessibility,relatively little is known about the landscapes of thisbiodiverse region, which also supports some of the highestpopulation densities in the world. A broad-scale NDVI-basedIRS 1B satellite image classification is used to analyzenorth-south and east-west trends across the entire WesternGhats and western coast of India, an area over 170 000 km². Northern and eastern landscapes are morefragmented compared to the southern and western slopes.Western slopes also have greater landscape diversity withland cover types more interspersed compared to the easternslopes. These differences can be related to north-south andeast-west variations in rainfall and plant distribution. Data from thirteen landscapes 10–50 km² in area, arefurther utilized to analyze trends in landscape pattern, anddescribe the geographical distribution of major natural andmanaged ecotope types. At this scale, very high levels ofintra-ecotope type variability in landscape pattern areencountered for all land cover types. Results at these twoscales are integrated to suggest a hierarchical stratifiedapproach for monitoring land cover and biodiversity in the region.     

新疆煤炭资源开发可持续的几点建议

新疆煤炭资源丰富,"十二五"期间煤炭计划开采量将近4×108t,这必然会对新疆极其脆弱的生态环境产生不利影响。本文首先分析了新疆煤炭资源开发的总体趋势,然后根据自治区党委、政府确立的"环保优先、生态立区"发展战略和"资源开发可持续、生态环境可持续"发展道路,就如何实现煤炭资源开发可持续提几点建议,为自治区各级政府决策提供参考依据。     

Estimation of late twentieth century land-cover change in California

We present the first comprehensive multi-temporal analysis of land-cover change for California across its major ecological regions and primary land-cover types. Recently completed satellite-based estimates of land-cover and land-use change information for large portions of the United States allow for consistent measurement and comparison across heterogeneous landscapes. Landsat data were employed within a pure-panel stratified one-stage cluster sample to estimate and characterize land-cover change for 1973?C2000. Results indicate anthropogenic and natural disturbances, such as forest cutting and fire, were the dominant changes, followed by large fluctuations between agriculture and rangelands. Contrary to common perception, agriculture remained relatively stable over the 27-year period with an estimated loss of 1.0% of agricultural land. The largest net declines occurred in the grasslands/shrubs class at 5,131 km² and forest class at 4,722 km². Developed lands increased by 37.6%, composing an estimated 4.2% of the state??s land cover by 2000.     

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。     

Changes in the area of inland lakes in arid regions of central Asia during the past 30 years

Inland lakes are major surface water resource in arid regions of Central Asia. The area changes in these lakes have been proved to be the results of regional climate changes and recent human activities. This study aimed at investigating the area variations of the nine major lakes in Central Asia over the last 30 years. Firstly, multi-temporal Landsat imagery in 1975, 1990, 1999, and 2007 were used to delineate lake extents automatically based on Normalized Difference Water Index (NDWI) threshold segmentation, then lake area variations were detailed in three decades and the mechanism of these changes was analyzed with meteorological data and hydrological data. The results indicated that the total surface areas of these nine lakes had decreased from 91,402.06 km² to 46,049.23 km² during 1975?C2007, accounting for 49.62% of their original area of 1975. Tail-end lakes in flat areas had shrunk dramatically as they were induced by both climate changes and human impacts, while alpine lakes remained relatively stable due to the small precipitation variations. With different water usage of river outlets, the variations of open lakes were more flexible than those of other two types. According to comprehensive analyses, different types of inland lakes presented different trends of area changes under the background of global warming effects in Central Asia, which showed that the increased human activities had broken the balance of water cycles in this region.     

Estimating the probability of wildfire occurrence in Mediterranean landscapes using Artificial Neural Networks

Wildfires are a major disturbance in the Mediterranean Basin and an ecological factor that constantly alters the landscape. In this context, it is crucial to understand where wildfires are more likely to occur as well as the drivers guiding them in complex landscapes such as the Mediterranean area. The objectives of this study are to estimate wildfire probability occurrence as a function of biophysical and human-related drivers, to provide an assessment of the relative impact of each driver and analyze the performance of machine learning techniques compared to traditional regression modeling. By employing an Artificial Neural Network model and fire data (2004–2012), we estimated wildfire probability across two geographical regions covering most of the Italian territory: Alpine and subalpine region and Insular and peninsular region. The high classification accuracy (0.68 for the Alpine and subalpine region and 0.76 for the Insular and peninsular region) and good performances of the technique (AUC values of 0.82 and 0.76, respectively) suggest that our model can be used in the areas studied to assess wildfire probability occurrence. We compared our model with a logistic function, which showed a weaker predictive power (AUC values of 0.78 for the Alpine and subalpine region and 0.65 for the Insular and peninsular region) compared to the Artificial Neural Network. In addition, we assessed the importance of each variable by isolating it in the model. The importance of an individual variable differed between the two regions, underscoring the high diversity of wildfire occurrence drivers in Mediterranean landscapes. Results show that in the Alpine and subalpine region, the presence of forest is the most important variable, while climate resulted as being the most important variable in the Insular and peninsular region. The majority of areas recently affected by large wildfires in both regions have been correctly classified by the ANN model as ‘high fire probability’. Hence, the use of an Artificial Neural Network is efficient and robust for understanding the probability of wildfire occurrence in Italy and other similar complex landscapes.