A variety of factors affect edge influence

edge influence depths vary in different time and space scales.At present

only small amount of qualitative researches on edge influence depth's affecting factors were reported

furthermore quantitative analysis researches lack

thus more researches

especially quantitative researches

are needed. This paper analyzed affecting factors of biomass edge influence depth using data of the upper reaches of Min River forest and farmland boundaries. Using GIS software

we overlap boundary type map

digital elevation map

land-use map and rainfall data map to get elevations

slopes

aspects and precipitations of the edges and patch areas on both sides of the edges

which are further processed with DEI using multiple linear regression analysis method in SPSS. The results show that edge influence depth between forest and farmland is affected by elevation and slope evidently and there is negative correlation between them. When elevation and slope of the boundary is less

the DEI is broader. Aspect impacts DEI less obviously

while precipitation and patch area have no evident impacts on DEI.