基于NDVI的社会-生态系统多尺度干扰分析--以甘肃省榆中县为例  

An analysis of disturbance on social-ecological system at multiple scales based on NDVI,case study in Yuzhong county of Gansu Province

作　　者：王俊[1,2] 孙晶[1] 杨新军[1] 刘文兆[2] N. Zaccarelli 张向龙[1] 汪兴玉[1] 

机构地区：[1]西北大学城市与资源学系,陕西西安710127 [2]中国科学院水利部水土保持研究所,陕西杨陵712100 [3]University of Salento

出　　处：《生态学报》2009年第3期1622-1628,共7页Acta Ecologica Sinica

基　　金：国家自然科学基金资助项目(30500077);中国科学院知识创新工程重要方面资助项目(KZCX2-YW-424);陕西省自然科学基金资助项目(2006D02)

摘　　要：作为人类与自然界耦合的社会-生态系统是一种动态等级结构,需要以多尺度的视角进行分析。恢复力作为社会-生态系统的重要属性是指系统进入新状态前可以承受的干扰大小,由此可见系统所受到的干扰在恢复力的研究中至关重要,但由于社会-生态系统的复杂性,目前尚缺乏对干扰定量化研究的案例。选取社会-生态系统运行的驱动因子——干扰作为研究对象,将遥感技术中对植被覆被/变化敏感的NDVI指数作为干扰反馈变量,采用移动窗口运算法则,以一个行政单元(甘肃省榆中县)为研究对象,提出了社会-生态系统多尺度干扰的一种计算方法,从而为评价社会-生态系统恢复力、构建生态保护网络、增强生态系统对环境变化(土地覆被/变化、生境破碎化)的适应能力、探索可操作的社会-生态系统案例研究模式提供了技术支持。Social-ecological systems are dynamic, non-equilibrium and hierarchical and as such require multi-scale analyses to reveal how they are structured and to formulate hypotheses about possible regulatory mechanisms. The resilience of socialecological systems is the magnitude of exogenous disturbance that a system can experience without undergoing a regime shift under specified conditions, functions or processes. Here the disturbance which plays a utilitarian role in the study of resilience refers to any relatively discrete event in space and time that disrupts ecosystem, community, or population structure and changes resources, substrates, or the physical environment. Based on remotely sensed response index -- NDVI and moving window algorithm --we describe an evaluation technique to quantify multi-scale disturbance that has resulted from long-term natural and man-induced interactive disturbance regimes. We use this technique to investigate how human disturbance may affect environmental conditions of areas at different spatial scales. Together the technique represents an operational framework for defining critical landscape thresholds as provided by scale domains, habitat adaptive cycles, and resilience by which scale-dependent ecological models could be developed, and applied. The potential of this approach for planning and management of habitats mosaics is also discussed.

关 键 词：干扰 多尺度 社会-生态系统(SES) 恢复力 榆中县 

分 类 号：X171[环境科学与工程—环境科学]