GEOGRAPHICAL RESEARCH ›› 2017, Vol. 36 ›› Issue (1): 61-73.doi: 10.11821/dlyj201701005

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The integrated research on regional land use recessive morphology from the perspectives of exploitation and output:The case of the Huang-Huai-Hai Region

Yi QU1,2(), Hualou LONG1,2()   

  1. 1. Institute of Geographic Sciences and Natural Resources Research, CAS, Beijing 100101, China
    2. University of Chinese Academy of Sciences, Beijing 100049, China
  • Received:2016-06-24 Revised:2016-11-18 Online:2017-01-20 Published:2017-01-20


Land use transition refers to the changes in land use morphology including dominant morphology and recessive morphology of a certain region over a certain period of time. If we take different land use morphologies as the points, then different land use transition processes might be the line connecting different points driven by regional socio-economic change and innovation. So, in-depth research on land use morphology may make great contribution to a better understanding of regional land use transition. This paper paid more attention to the recessive land use morphology, a multi-dimensional conception with multiple spatial and non-spatial properties. Taking the Huang-Huai-Hai region as a case study, this paper studies regional land use recessive morphology in a comprehensive way from the view point of exploitation and output. Firstly, a three-dimensional representative model for land use recessive morphology was built. This model consists of the attributes of land use intensity, land use economic condition and land use emission condition. It was subsequently used in recessive land use morphology analysis of the study area. Secondly, a K-means clustering method based on the Genetic Algorithm (KGA) was introduced into the classification for the units with different comprehensive land use recessive morphologies. This showed that the comprehensive land use recessive morphology types of the unit have close relationship to its economic development level. For example, Beijing may have the highest regional land use intensity, highest land use economic level, but lowest land use emission level for its advanced economic development level, while Zhumadian with the lowest regional land use intensity, land use economic level and land use emission level for its underdeveloped economy. Thirdly, by introducing the spatial distance and spatial autocorrelation into the KGA method, this paper proposed a new spatial clustering method combining spatial and non-spatial properties (spatial K-means clustering method based on the Genetic Algorithm, SKGA). As shown that this method performed well in the zoning analysis of comprehensive land use recessive morphologies, for it can maintain the heterogeneity in non-spatial properties, as well as take full account of spatial contiguity and spatial correlation. Finally, differentiated management measures were proposed based on the features of different comprehensive land use recessive morphology zones to support land use policy decision-making.

Key words: land use transition, land use recessive morphology, the genetic algorithm, spatial autocorrelation, spatial clustering, Huang-Huai-Hai Region