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叶延琼,陈国阶.两种不同生态区划方法在岷江上游地区的应用与比较.生态学报,2006,26(7):2174~2182 本文二维码信息
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两种不同生态区划方法在岷江上游地区的应用与比较
Application and comparison of two different eco-regionalization methods in the upper Min River Basin, Sichuan, China
投稿时间:2005-10-23  修订日期:2006-04-29
DOI:
关键词生态区划  指标体系  景观结构  岷江上游
Key Wordseco-regionalization  indices system  landscape structure  the upper min river basin
基金项目
作者单位
叶延琼 华南农业大学热带亚热带生态研究所广州 510642 
陈国阶 中国科学院成都山地灾害与环境研究所成都 610041 
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摘要:
收集了岷江上游5县92个乡(镇)的自然与社会经济数据,运用生态学与景观生态学的原理和方法,分别建立传统生态区划(自上而下)和景观生态区划(自下而上)的指标体系,借助GIS工具和多元统计分析软件,通过对要素指标空间分异的特性分析,进行了岷江上游以乡(镇)为最小单元的生态区划研究。根据岷江上游乡(镇)域尺度上的生态环境状况和人类活动状况,传统生态区划将研究区划分为3个大区,而景观生态区划则为4个大区,但二者间的基本轮廓大体相似。为识别两种区划方法间的异同,比较与分析了自然环境复杂区域的小区级划分结果。分析表明,两种区划方法在划分依据、信息识别以及适用范围等方面均存在较大差异,在小区划分中,景观生态区划对自然环境条件复杂区域的区划优势明显。
Abstract:
Regionalization has been an instrument to describe the general attributes of the earth’s surface. As preparatory work for designing and implementing a socio-economic development strategy, regionalization may be based on a global, national or a local level. There has been considerable progress in studies of regionalization in physical geography, agricultural and integrated economic domains in China since 1949. The literature has developed from regionalization based on a single geographical factor to an integrated regionalization based on a cluster of spatial factors, and finally to regionalization approaches with the specific objective of serving as a means for locating agricultural sectors or geographical arrangement of socio-economic construction.
Eco-regionalization has gained importance within this evolving literature as a means for ensuring an appropriate management of ecosystems and sustainable use of natural resources. Based on theories and methods of general ecology and landscape ecology and taking the Upper Min River Basin, Sichuan, China as an example, this study tries to develop a new method for eco-regionalization. This new approach, the ‘landscape eco-regionalization method’ is a bottom-to-top method that differs from the traditional top-to-bottom eco-regionalization approach, in that it may use landscape indices such as mean patch size, fractal dimension, diversity, evenness, dominance,fragmentation and human disturbance. GIS and geo-statistics are also applied in the analysis of spatial disparities of the above indices for eco-regionalization in the Upper Min River Basin.
Physical and socio-economic data for 92 towns and townships in 5 counties in the Upper Min River Basin are used in the analysis and development of the index system. The Upper Min River Basin may fall into three eco-regions by using the traditional top-to-down method, which would include indices such as topographical variation, temperature, humidity, geomorphologic type and socio-economic activities. In contrast our study region may be divided into four ecological regions by using the landscape ecological bottom-to-top method. To identify similarities and disparities of the two methods, the results for division of eco-regions at the lower level are analyzed. Our analysis indicates that the two methods vary greatly in their use of the data, in the information identification and application scopes. The bottom-to-top method may have its advantages over the top-to-bottom method with respect to the division of eco-regions in comparatively small areas with substantial bio-physical heterogeneity.
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