Abstract
Selective logging gives currently a major contribution to ongoing deforestation in the Brazilian Amazonia. The spatial distribution of log landing sites (LLS), i.e. the sites where logged trees are collected, serves as a proxy to the intensity of selective logging activities. In this study we analysed the LLS pattern in a study area that has a rapid deforestation. Actual LLS locations were extracted from a Landsat image of 2000 that covers a large part of the study area. We first used the inhomogeneous -function. A kernel bandwidth of 20 km best modelled the non-stationarity, showing a strongly clustered LLS distribution. Second, the Area-interaction point process model incorporating information about distance of LLS to roads and to clear-cut deforested areas was applied. The model well explained the clustered LLS pattern and showed a significant effect of distance to roads. We concluded that this spatial statistical study helped to quantify and better understand the LLS pattern.
Original language | English |
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Pages (from-to) | 50-64 |
Number of pages | 15 |
Journal | Spatial statistics |
Volume | 12 |
Early online date | 2 Feb 2015 |
DOIs | |
Publication status | Published - May 2015 |
Keywords
- 2024 OA procedure
- Selective logging
- Point pattern
- Inhomogeneous
- J-function
- Area-interaction process