Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 95-99 |
| Number of pages | 5 |
| Journal | Zhongshan Daxue Xuebao/Acta Scientiarum Natralium Universitatis Sunyatseni |
| Volume | 48 |
| Issue number | 6 |
| State | Published - Nov 2009 |
| Externally published | Yes |
Keywords
- Affecting factor
- Depth of edge influence
- Min River
- Multivariate linear regression