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Evaluation and Regional Analysis on Landscape Sensibility of Land Degradation in Fujian Article Abstract

Abstract by : TsingHua
Visits : 17  words: 300   Published: January 25, 2002
With the support of GIS,this research,based on comprehensively selected natural landscape factors and human landscape factors,focusing on the regional distributing features of plough land destruction,soil pollution,soil erosion and soil impoverishment,making the best combination of both landscape factors and land degradation features,applying the representation method of geographic distribution map and the given mathematic model,makes a qualitative and quantitative comprehensive evaluation and a predictive regionalization of its sensibility on the active degrees and dangerous degrees of regional landscape of the land degradation,then analyzes its regional features. Fujian Province is located in the southeast of Mainland China,extending between 115°50′~120°43′ east longitude and 23°32′~28°22′ north latitude.The area investigated is as big as 12.42×10 4km 2,and the highest peak is 2,158m above sea level.Mountains and hills make up to 87.5% of the total area.It mainly consists of Mt.Daiyun and Mt.Wuyi,which approximately parallel with the coastline,incline to the southeast till the coast plain.From the northwest to southeast,the topographic configuration looks like an echelon,including the mountain,hill,mesa and plain.Natural vegetation mainly includes south subtropical monsoon forest and broad-leaved evergreen.Due to the influence of human activities,primitive vegetation was largely destroyed,current vegetation mainly includes various coenosium from different succession stage. The 1975 topographic map(1∶250000)and the landsat TM image obtained from the months of May to August,1996 were used in this research.Different kinds of thematic maps were created after the comprehensive application of the data.Though the training field was used to help classify data in the field map-making process,no ground check was taken to guarantee their accuracy.The researchers also collected data for fertilizing conditions of plough land crops.Thematic maps related to soil pollution degree were created after analyzing these data.Different kinds of thematic maps(including the administrative map)were digitized and input into GIS database.GIS provides a way to connect data collected from different spatial-temporal scales and grid and vector data used to map-making in different projections. The authors applied the analytic hierarchy process (AHP) to building up the layer structure for index system of activity degree regionalization for land degradation,and uses the expert-inquiry approach to index system inquiry.The index system of activity degree regionalization for land degradation was eventually obtained.According to the selection and calculated model of grade index,the authors selected 12 ecological destructive degree indexes which influence the land degradation in Fujian,and made a spatial simulation analysis on them with the GIS software.In the actual grade classification,the authors relied on the ratio histrogram distribution of niche destructive degree index,and classified the land degradation into four grades.They are the most activity degree,more activity degree,activity degree and less activity degree.The authors also calculated the area of different activity degree and its percentage proportion to the whole land area in Fujian.The research shows that the activity degree of land degradation has followed certain regional rules:the most activity grade is intensively located in the coast area,which parallels with the coastline,the more activity grade is centralized in the middle of the province,activity grade locates to the north of the more activity grade,and less activity grade variously distributes in the north and southwest of Fujian.On this condition,with the comprehensive social-economy factor index(comprehensive loss index)of each county(city)calculated,and the comprehensive risk index of land degradation(comprehensive risk index),the comprehensive risk index were calculated by using a mathematic model.Comprehensive regionalization i

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