Paper Info
Title
Multiscale analysis of the relationship between topography and aboveground biomass in the tropical rainforests of Sulawesi, Indonesia
Abstract
This article aims to explore spatial and altitudinal non-stationarity in the relationship between aboveground biomass (AGB) of tropical rainforest in Sulawesi (Indonesia) and topography. An autoregressive model through a geographically weighted regression (GWR) framework was used to study the relationship between ground-measured values of AGB and altitude above sea level at 85 sampling plots. The relationships between AGB and altitude were found to be significantly spatially variable and scale-dependent. The results also suggested high altitudinal variability in the examined relationship. Both the strength of the AGB-altitude relationship (ρ) and the altitudinal gradient (α) showed a high changeability in the horizontal and vertical dimensions. The complex spatio-altitudinal patterns in the GWR-based local estimates of the ρ and α parameters gave rise to both spatial and altitudinal variations in the scale effects. The approach presented in this study enables finding the most appropriate scale for data analysis within different altitudinal bands. The study found that the changes of the gradient α along altitudinal transects relate to prevalent environmental conditions observed at different altitudes, whereas the optimal bandwidth was related to the terrain surface heterogeneity.
Year
DOI
Venue
2011
10.1080/13658816.2010.518570
International Journal of Geographical Information Science
Keywords
Field
DocType
altitudinal transects,high altitudinal variability,different altitudinal band,altitudinal non-stationarity,multiscale analysis,appropriate scale,tropical rainforests,altitudinal variation,altitudinal gradient,high changeability,aboveground biomass,agb-altitude relationship,different altitude,autoregressive model,topography,data analysis,tropical rainforest,above sea level,biomass,spatial variability
Physical geography,Data mining,Biomass,Transect,Tropical rainforest,Sea level,Terrain,Altitude,Sampling (statistics),Climatology,Geography,Rainforest
Journal
Volume
Issue
ISSN
25
3
1365-8816
Citations 
PageRank 
References 
2
0.41
3
Authors
1
Name
Order
Citations
PageRank
Pavel Propastin1427.13