NDLI: Vegetation distribution pattern along altitudinal gradient in subtropical mountainous and hilly river basin, China

Content Provider	Springer Nature Link
Author	Qiu, Bingwen Zeng, Canying Chen, Chongcheng Zhang, Chungui Zhong, Ming
Copyright Year	2013
Abstract	Knowledge of vegetation distribution patterns is very important. Their relationships with topography and climate were explored through a geographically weighted regression (GWR) framework in a subtropical mountainous and hilly region, Minjiang River Basin of Fujian in China. The HJ-1 satellite image acquired on December 9, 2010 was utilized and NDVI index was calculated representing the range of vegetation greenness. Proper analysis units were achieved through segregation based on small sub-basins and altitudinal bands. Results indicated that the GWR model was more powerful than ordinary linear least square (OLS) regression in interpreting vegetation-environmental relationship, indicated by higher adjusted R2 and lower Akaike information criterion values. On one side, the OLS analysis revealed dominant positive influence from parameters of elevation and slope on vegetation distribution. On the other side, GWR analysis indicated that spatially, the parameters of topography had a very complex relationship with the vegetation distribution, as results of the various combinations of environmental factors, vegetation composition and also anthropogenic impact. The influences of elevation and slope generally decreased, from strongly positive to nearly zero, with increasing altitude and slope. Specially, most rapid changes of coefficients between NDVI and elevation or slope were observed in relatively flat and low-lying areas. This paper confirmed that the non-stationary analysis through the framework of GWR could lead to a better understanding of vegetation distribution in subtropical mountainous and hilly region. It was hoped that the proposed scale selection method combined with GWR framework would provide some guidelines on dealing with both spatial (horizontal) and altitudinal (vertical) non-stationarity in the dataset, and it could easily be applied in characterizing vegetation distribution patterns in other mountainous and hilly river basins and related research.
Starting Page	247
Ending Page	257
Page Count	11
File Format	PDF
ISSN	1009637X
Journal	Journal of Geographical Sciences
Volume Number	23
Issue Number	2
e-ISSN	18619568
Language	English
Publisher	SP Science Press
Publisher Date	2013-01-30
Publisher Place	Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	vegetation altitudinal gradient GWR non-stationary Minjiang River Basin Physical Geography Nature Conservation Geographical Information Systems/Cartography Remote Sensing/Photogrammetry
Content Type	Text
Resource Type	Article
Subject	Earth and Planetary Sciences

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