Land cover dynamic changes in northern China: 1989?2003

The 13 provinces (autonomous regions and municipalities) in northern China are located in latitude 31°–54°N and longitude 73°–136°E including Beijing, Tianjin, Hebei, Shanxi, Inner Mongolia, Jilin, Liaoning, Heilongjiang, Shaanxi, Gansu, Ningxia, Qinghai, and Xinjiang, where environments are fragile. In recent years, the eco-environmental problems such as vegetation destruction, desertification and soil erosion etc. become serious because of climate change and unreasonable human activities. In this paper, landscape pattern and its evolution in northern China from 1989 to 2003 was investigated by the combined use of RS and GIS based on the basic theory and method of landscape ecology. Land use/cover maps of the study area in 1989, 1999 and 2003 were produced by using 1 km monthly NOAA Ad-vanced Very High Resolution Radiometer (AVHRR) and SPOT/VGT Normalized Difference Vegetation Index (NDVI) dataset from national climate bureau of China which were geo-registered to Lambert azimuthal equal-area map projection and were used in the paper. Landscape evolution in the area over the study period was investigated by two methods: (a) the changes of various landscape metrics were analyzed using the landscape structure analysis program FRAGSTATS; (b) the transition matrix of landscape patch types was cal-culated with the help of the RS and GIS software. The results showed that from 1989 to 2003, the landscape within the study area had undertaken a complicated evolution in landscape structure and composition. The diversity index and evenness index increased during the pe-riod, which means that the landscape pattern tended to be diversified and even. The fragmentation index of grassland, forestland and water areas also increased significantly. This showed that the distribution and structure of forestland, grassland and water areas had been changed greatly during the period, especially grassland which became more and more fragmentized, and its fragmentation index increased from 19.23% to 88.72%. The transitions of the landscape types were mainly shown by the changes among forestland, grassland and farmland, and grassland changing into unable land. Over the study period, grassland and water areas had decreased remarkably, accounting for 15% and 37% from 1989 to 1999 and 24.79% and 49.25% from 1999 to 2003 respectively. The grassland and water resources play an important role in the eco-environment and economic development of the region. So, they must be protected carefully. According to the analysis, we can conclude that the eco-environment in the study area is obviously degenerated due to unreasonable human activities and climate changes and some measures should be taken to combat the environ-mental degradation.     

干旱区典型流域近30 a土地利用/覆被变化和景观破碎化分析——以玛纳斯河流域为例

 利用1976年、1989年、2005年三期遥感影像,运用GIS和FRAGSTATS景观分析软件对玛纳斯河流域近30 a的土地利用/覆被变化和景观破碎化进行了研究。结果表明：①玛纳斯河流域土地利用/覆被在过去30 a间发生了普遍的变化。耕地、建设用地不断增加,而草地、林地、水域、盐碱地不断减少。耕地主要是在草地上开垦出来的。②绿洲内部的耕地趋于集聚状态,破碎性降低,而绿洲边缘的耕地,破碎性增强。草地面积大减,破碎性增强,退化严重。沙地、水域破碎性也不断增强,林地、未利用土地的破碎化于1989年增强,2005年减缓。③驱动力分析表明,流域变化是自然和人类活动共同作用的结果,其中人口的快速增长、政策环境的变化和自然环境变化如干旱等是最主要的驱动因素。     

洪泽湖湿地生态旅游初探

分析洪泽湖湿地旅游资源,指出洪泽湖湿地有着人湖河口滩地、滨湖河漫滩、湖面、围垦混合带各具特色的湿地景观、丰富的植物资源、动物资源以及众多的风景名胜,探讨了在生态开发湿地旅游资源时应遵循：开发和湿地保护同步进行,协调发展;做好超前规划,体现生态性、最小干预性、文化性、人本性;在经营管理上坚持政府主导、市场运作3项原则以及加强管理、合理规划、综合整治、加强旅游合作等具体举措。     

基于粗糙集与突变级数法的土地利用景观分区研究

基于江苏宜兴市土地利用现状数据库,利用土地景观格局指数,采用粗糙集与突变级数法相结合的方法对宜兴市进行土地利用景观分区。分区结果表明:区域地貌特征影响的土地利用方式是土地利用景观格局分异的主要因素,随着水域、林地面积比重的增加,人类对土地系统的改造逐渐减弱,斑块破碎化程度降低,斑块形状复杂化程度增强,景观多样性减弱;结合粗糙集论通过知识约简挖掘数据中隐含的内在规则,依据属性重要性对评价因子进行重要性排序,无需确定权重,最终通过多指标集成的突变级数法进行土地利用景观分区。     

沙漠型景区景观价值评价方法

为建立系统的沙漠景观价值评价指标体系和评价方法,通过对多个景区的实地调研及数据、资料的研究分析,以美学价值、康乐价值、科学文化价值、经济社会价值为准则层及其分别对应的17个评价指标为评价对象,运用专家咨询法、层次分析法及模糊综合评价法构建评价体系,结合运用景观综合评价指数法,确保评价结果准确、合理。以沙坡头及宁夏其他主要沙漠景区为例应用分析,两种模型分析计算结果相吻合,均与现状相符。本研究可为沙漠型景区景观资源评价、开发及保护提供借鉴。     

都市农业景观破碎化过程对生态系统服务价值的影响——以西安市为例

利用西安市土地利用解译图及社会经济数据,在界定都市农业景观的前提下,分析西安市都市农业景观破碎化过程,在此基础上分析都市农业景观破碎化对生态系统服务价值的影响。结果表明：① 1999-2011 年,西安市都市农业景观的斑块密度、分离度指数增加,都市农业景观呈破碎化趋势;② 都市农业景观分离度与都市农业生态系统服务总价值及各项价值均呈较强的负相关关系;破碎化过程中废物处理及土壤形成价值减少量最大,同时食物生产价值减少率最大,减少了12.73%,娱乐文化减少的价值量及减少率最小,为1.93%;③ 耕地、林地、水域呈景观破碎化趋势,而园地聚集度上升,同时耕地、林地、水域的生态系统服务价值下降,园地生态系统服务价值增加。     

基于景观孤岛化分析的传统地域文化景观保护模式——以江苏苏州市甪直镇为例

在城镇化、现代化和商业化快速发展的今天,传统文化景观的破碎化已成为传统地域文化景观的重要空间特征和现象,破碎化直接催生了传统文化景观空间的孤岛化现象,直接影响着传统地域文化景观的整体性,成为传统文化景观整体性保护的重要障碍。本文以苏州市甪直镇为例,在分析区域特征及对当地居民进行问卷调查的基础上,通过构造孤岛化评价指数,评价甪直古镇传统文化景观的格局的综合特征和景观孤岛化现象、特征及形成过程。在传统文化景观孤岛化评价的基础上,通过确定保护圈层、构建文化景观遗产廊道和景观生态网络格局,实现传统文化景观空间的拓展、连接和传统文化景观与缓冲空间的有机复合,成为传统地域文化景观区域性整体保护的空间模式。     

基于地理加权回归的漫湾库区景观破碎化及影响因子分析

应用地理加权回归模型分析漫湾库区景观破碎化指数——有效筛网大小与相关因子之间的空间关系。选取的解释变量分别是距道路的距离、距乡村的距离、距河流的距离、坡度。结果表明：大坝修建后4种解释变量与有效筛网大小呈现较显著的正相关性。与线性回归模型相比,地理加权回归模型的拟合效果显著提高。1974~1988年,有效筛网大小对各影响因子最敏感的区域面积呈现显著的时空变化这为确定水电站建设及其他因素对景观破碎化影响的大小,并进一步改善库区景观破碎化的现状提供了依据。     

Characterizing instability of aeolian environments using analytical reasoning

This short communication describes the development and application of analytical reasoning to quantify instability of an aeolian environment using scale‐dependent information coupled with conceptual knowledge of process and feedback mechanisms. Specifically, a simple Fuzzy Cognitive Map (FCM) for aeolian landscape instability was developed that represents conceptual knowledge of key biophysical processes and feedbacks. Model inputs include satellite‐derived surface biophysical and geomorphometric parameters. FCMs are a knowledge‐based artificial intelligence (AI) technique that merges fuzzy logic and neural computing in which knowledge or concepts are structured as a web of relationships that is similar to both human reasoning and the human decision‐making process. Given simple process–form relationships, the analytical reasoning model is able to map the influence of land management practices and the geomorphology of the inherited surface on aeolian instability within the South Texas Sand Sheet. Results suggest that FCMs can be used to formalize process–form relationships and information integration analogous to human cognition with future iterations accounting for the spatial interactions and temporal lags across the sand sheets. Copyright © 2014 John Wiley & Sons, Ltd.