Abstract
Analyzing the interaction between land use patterns (LUPs) and socioeconomic factors (SEFs) could provide a basis for regional land spatial planning and management decisions in the future. In this study, population, gross domestic product (GDP) and land use intensity were selected to explain the relationship between SEFs and LUPs. The study designed a new method of sample line acquisition for wavelet analysis, and identified the interaction grid scales of LUP changes with SEFs in 1991, 2005 and 2019 by using cross wavelet transform analysis (XWT). Wavelet transform coherent analysis (WTC) was used to reveal the interaction direction and impact strength between LUPs and SEFs. The results showed that: (1) There were two ranges of 2978–5008 m and 24,400–29,738 m in which the grid scales showing interaction between LUPs and SEFs (population, GDP and land use intensity) from 1991 to 2019 were overlapping. (2) The interaction direction between LUPs and SEFs from 1991 to 2019 was almost negative on all sample lines, while the interaction directions of the middle sample line of population and GDP from 1991 to 2019, the end sample line of GDP in 2019, and the start sample line of land use intensity in 1991 were positive. (3) Dry land, grassland and construction land were most affected by SEFs, followed by paddy fields, forest land and other land, and the least affected were water areas during 1991 to 2019. The impact of population and GDP on LUPs was reduced, while the impact of land use intensity on LUPs was increased from 1991 to 2019. Overall, population, GDP and land use intensity were the important SEFs in the changes of LUPs, and were important factors for social progress and economic development.
Highlights
The formation of land use patterns (LUPs) is the spatial projection of various influencing factors that can affect the regional social and economic development and ecological environment, and is an important basis for the diagnosis of rational use of regional land [1].With the socioeconomic development and transformation in China, the finiteness of land supply led to intensified competition in LUPs [2,3]
(3) Dry land, grassland and construction land were most affected by socioeconomic factors (SEFs), followed by paddy fields, forest land and other land, and the least affected were water areas during 1991 to 2019
Population, gross domestic product (GDP) and land use intensity were the important SEFs in the changes of LUPs, and were important factors for social progress and economic development
Summary
With the socioeconomic development and transformation in China, the finiteness of land supply led to intensified competition in LUPs [2,3]. The urbanization rate in China increased from 26.37% in 1991 to 60.60% in 2019, which caused a series of contradictions such as the drastic change of land development and utilization patterns [4], a large loss of cultivated land resources [5], a widened gap between the development of urban and rural areas [6] and serious ecological and environmental damage [7]. The results made the LUP change increasingly drastic in China. Study of the relationship between regional LUPs and socioeconomic fac-
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
