TROPICAL GEOGRAPHY ›› 2015, Vol. 35 ›› Issue (3): 403-415.

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Land Use Change and Temporal-Spatial Heterogeneity of Ecosystem Service Value in the Qinjiang River Basin of the Beibu Gulf Rim

TIAN Yichao1,2,LIANG Mingzhong1,HU Baoqing2   

  1. (1. College of Resources and Environment, Qinzhou University, Qinzhou 535000,China; 2. Key Guangxi Normal University, Laboratory of Beibu Gulf Environmental Evolution and Resources Utilization, Nanning 530001, China)
  • Online:2015-06-05 Published:2015-06-05

Abstract:

Based on land use data of the Qinjiang River Basin of the Beibu Gulf Rim in 2000 and 2012,This paper analyzed the temporal-spatial dynamic changes of land system and its spatial agglomeration effect with methods of land use transfer flow network and GIS density mapping, and evaluated the temporal-spatial heterogeneity of land use ecosystem service value with geostatistics methods. The results show that: 1) The built-up area, water body and garden land were increased, while the farmland, woodland and grassland were decreased in the Qinjiang River Basin; 2) There are 30 kinds of land transfer network flow relations in the whole land system on the basin, the upstream exists 27 kinds, the midstream 26 and downstream 17 kinds. The network transfer relationship between the farmland, built-up area, grassland and woodland dominates the main direction of land use change in the study area. 3) With different variogram function models for the spatial structure of the ecological service value, the best model for ecological service value matched in 2000 is the exponential model, while in 2010 it is the spherical model; 4) The overall amount of ecosystem services value in the Qinjiang River Basin reduced from 8.02 billion yuan in 2000 to 7.88 billion yuan in 2012, with a reduction of 142.83 million yuan. The ecological service value is highest in the midstream, followed by the upstream, and the downstream is minimum.

Key words: the Qinjiang River Basin, land system, land use transfer flow, ecosystem service value, spatial agglomeration