Quantifying Spatiotemporal Patterns Concerning Land Change in Changsha, China

Authors: Bin Quan*, Hengyang Normal University, Hongge Ren, Hunan University of Science and Technology, Robert Gilmore Pontius Jr, School of Geography, Clark University, Peilin Liu, Hengyang Normal University
Topics: Land Use and Land Cover Change, Geographic Information Science and Systems, China
Keywords: GIS; Intensity Analysis; land change; urbanization; Changsha
Session Type: Paper
Day: 4/3/2019
Start / End Time: 2:35 PM / 4:15 PM
Room: Marshall North, Marriott, Mezzanine Level
Presentation File: No File Uploaded

Changsha has undergone speedy socio-economic development, rapid modification of industrial structure, and acceleration of urbanization, which has influenced land cover change during the most recent three decades. Policies have aimed to conserve total agricultural area, but it is not clear how successful these policies have been. Our purpose is to characterize and interpret spatio-temporal patterns of land change with respect to the policy to maintain agricultural area in Changsha, China. Maps at 1990, 2000, and 2010 show four land categories: Built, Forest, Crop and Other. We compute change components and apply Intensity Analysis to compare the land changes during two time intervals: 1990-2000 and 2000-2010. We also compare the central region to the peripheral region during 1990-2010. The maps show that Changsha’s land change accelerated from 1990-2000 to 2000-2010. Change was more intensive in the central region than in the peripheral region. Crop and Forest experienced net decreases while Built experienced net increase during both time intervals and in both regions. Built’s gain targeted Crop and avoided Forest during both time intervals and in both regions. The central region’s largest change component is quantity change, due to Built’s net gain. The peripheral region’s largest change component is exchange, due to simultaneous transitions from Forest to Crop and from Crop to Forest. According to these data, policies have not maintained the quantity of Crop, as the peripheral region has not gained Crop sufficiently to compensate for Crop’s loss from the central region.

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