Scale effect analysis of driving forces of arable land of Fujian province

Bingwen Qiu

doi:10.1117/12.761857

25 July 2007 Scale effect analysis of driving forces of arable land of Fujian province

Bingwen Qiu

Proceedings Volume 6753, Geoinformatics 2007: Geospatial Information Science; 67531H (2007) https://doi.org/10.1117/12.761857
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

Land use patterns are governed by a broad variety of potential driving forces and constraints which act over a large range of scales and multi-scale investigation of land use patterns is essential for full understanding of its complexity. The main purpose of this paper was to perform a multi-scale analysis of arable land distribution pattern of Fujian province by means of statistical analysis through overall study and each agro-zone respectively. 27 variables were selected as the candidate land use drivers representing bio-geophysical, socio-economic and infrastructural conditions. The basic spatial organization in the analysis was a 1km×1km geographical grid. Through aggregations of these cells, a total of 10 artificial aggregation levels were obtained. The independent models of the whole study area and each 6 agro-zones of arable land distribution patterns were constructed at multiple scales respectively. The results showed that Land use models varied with aggregation level and also between agro-zones. Independent variables explained more of the variance for the explanation of land use type at higher aggregation levels. Except slope, the highest ranking variable, other variables of the arable land use model vary between agro-zone I to VI. But the general rule is that arable land in all 6 agro-zones is strictly restricted by topographic factors which changes little along with time. It is argued that these types of analyses can support quantitative multi-scale understanding of land use, needed for the spatially explicit land use change models.

Citation Download Citation

Bingwen Qiu "Scale effect analysis of driving forces of arable land of Fujian province", Proc. SPIE 6753, Geoinformatics 2007: Geospatial Information Science, 67531H (25 July 2007); https://doi.org/10.1117/12.761857

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