Title :
On quantifying the ecological effects of land use/cover changes in red soil erosion area on integrated geo-spatial information techniques: A case study in Changting county, Fujian
Author :
Lin, Huihua ; Wu, Guosheng ; Zhu, Hejian
Author_Institution :
Coll. of Geogr. Sci., Fujian Normal Univ., Fuzhou, China
fDate :
June 29 2011-July 1 2011
Abstract :
Based on the integrated geo-spatial information techniques, through the interpretation of the remote sensing images in 1988, 2000 and 2007, the land use/cover changes (LUCC) data in Changting county were acquired, and the variations in environment effect in response to LUCC were studied by the calculation of ecosystem services value in the typical red soil erosion area. The results indicated: from 1988 to 2007, orchard in the study region had been increasing, and the integrated dynamic degree of LUCC was up to 4.22% and 5.71 % respectively in the two periods, which means the transition speed of land is accelerated. Ecosystem services values in the three years were 85.27×108, 87.64×108 and 86.16×108 yuan respectively, with a trend of up-and-then-down fluctuation. Over all, forest land made the greatest contributions to the value. Finally the land use pattern of the study region in 2015 was predicted by means of the Markov model, and the ecosystem services value in 2015 will been decreased to 85.20×108 yuan, which is mainly caused by the decrement of forest land and the increase of construction land. So if the economic benefits of land use are overemphasized, the sustainability of the ecological vulnerable area will be faced with severe ecological risks.
Keywords :
Markov processes; ecology; erosion; geophysical image processing; remote sensing; risk analysis; soil; terrain mapping; AD 1988 to 2007; Changting County; China; Fujian; Markov model; ecological effect; ecological risk analysis; environment effect; integrated dynamic degree; integrated geo-spatial information techniques; land cover change; land transition speed analysis; land use change; land use pattern; red soil erosion area; remote sensing image; up-and-then-down fluctuation analysis; Biological system modeling; Ecosystems; Markov processes; Mathematical model; Predictive models; Production; Soil; Land use/cover changes (LUCC); Markov model; changting county; ecological effect; ecological service value;
Conference_Titel :
Spatial Data Mining and Geographical Knowledge Services (ICSDM), 2011 IEEE International Conference on
Conference_Location :
Fuzhou
Print_ISBN :
978-1-4244-8352-5
DOI :
10.1109/ICSDM.2011.5969114