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Land-use transition and its driving forces in a minority mountainous area: a case study from Mao County, Sichuan Province, China

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Abstract

Land-use change is an important research topic in global environmental change. Analyzing land-use change and its driving factors can aid in the evaluation of the current and the determination of future land-use policies. This study took Mao County, Southwest China, as the study area and used the land-use change and statistical data surveyed in 2009 and 2019. With the help of geographic information system technology, a land-use transfer matrix was used to comprehensively analyze the characteristics of spatiotemporal differentiation of land use, while the driving mechanism was analyzed by constructing the influencing factors using a geographical detector model. The results showed that the change in land use in Mao County was drastic. The increasing land types included orchards, grasslands, built-up lands, and water bodies, whereas the decreasing land types included croplands, forestlands, and unused lands. The main driving factors of land-use transition depended on the type of land-use change. Elevation, distance from the county government, and population were the main driving factors of land-use change. Road density, distance from the river, distance from the town/township government, and gross domestic product also affected land-use change to a certain extent, whereas relief and slope had less impact.

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Data availability

The datasets generated during the current study are available from the corresponding author upon reasonable request.

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Authors and Affiliations

  1. School of Geology Engineering and Geomatics, Chang’an University, Xi’an 710061, China

    Yizhen Zhao & Jianjun Cui

  2. Geological Survey of Japan, AIST, Tsukuba, Ibaraki, 305-8567, Japan

    Ming Zhang

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  1. Yizhen Zhao
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Correspondence to Yizhen Zhao, Ming Zhang or Jianjun Cui.

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Zhao, Y., Zhang, M. & Cui, J. Land-use transition and its driving forces in a minority mountainous area: a case study from Mao County, Sichuan Province, China. Environ Monit Assess 194, 688 (2022). https://doi.org/10.1007/s10661-022-10289-0

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